Evaluation method, evaluation device, evaluation system, user terminal, and evaluation program

Abstract

To provide an evaluation method capable of improving evaluation accuracy of items related to a residence on the viewpoint of medical costs.SOLUTION: An evaluation method for evaluating items related to a residence includes: setting a ratio of improving subjective symptoms of a certain disease in a case in which an inhabitant living in a residence in a certain performance rank such as insulation lives in a residence in other performance rank such as insulation different from the certain performance rank such as insulation, to be an improvement rate; acquiring the improvement rates for each of a plurality of residences in a second-grade performance rank such as insulation other than a first-grade performance rank such as insulation as a reference; acquiring first statistical data related to the number of patients affected by a certain disease; acquiring second statistical data related to a relation between a performance rank such as insulation of the residence and generation among the patients; and calculating a first evaluation parameter related to a ratio that an inhabitant of a certain generation is affected by a certain disease, with respect to at least the one residence in the performance rank such as insulation, on the basis of the first statistical data, the second statistical data and the improvement rate.SELECTED DRAWING: Figure 5

Description

[Technical field]

[0001] The present disclosure relates to an evaluation method, an evaluation device, an evaluation system, a user terminal, and an evaluation program. [Background technology]

[0002] There are known methods for evaluating items related to housing. For example, Non-Patent Document 1 describes evaluating the thermal insulation performance of a house from the perspective of medical costs. [Prior art documents] [Non-patent literature]

[0003] [Non-Patent Document 1] Koji Fujita and 4 others, “Proposal of a method for estimating medical expenses according to indoor temperature and examination of economical residential insulation performance considering medical expenses”, Journal of the Architectural Institute of Japan, Environmental Studies, Vol. 85, No. 768, February 2020, pp. 159-167 Summary of the Invention [Problem to be solved by the invention]

[0004] In the method described in Non-Patent Document 1, a residence having a certain insulation performance class is evaluated from the perspective of medical expenses based on the ratio of residents living in the residence having a certain insulation performance class who have subjective symptoms of a certain disease and national data on medical expenses for the treatment of the certain disease. In the method described in Non-Patent Document 1, the ratio of residents living in the residence having a certain insulation performance class who have subjective symptoms of a certain disease is obtained by a questionnaire survey of the residents. Among the residents who answered in the questionnaire survey that they have subjective symptoms of a certain disease, some do not visit a medical institution. Since the national data on medical expenses are data on medical expenses incurred by patients who visited a medical institution, if the ratio of people who have subjective symptoms of a certain disease includes people who do not visit a medical institution, a deviation will occur in the estimated medical expenses. If a deviation occurs in the estimated medical expenses, there is a risk that the accuracy of the evaluation of the residence from the perspective of medical expenses will decrease.

[0005] In view of the above circumstances, the present disclosure aims to provide an evaluation method, an evaluation device, an evaluation system, a user terminal, and an evaluation program that can improve the evaluation accuracy of housing-related matters from the perspective of medical expenses. [Means for solving the problem]

[0006] In order to achieve the above-mentioned object, the evaluation method disclosed herein is an evaluation method for evaluating matters related to residences, and includes defining an improvement rate as the rate at which subjective symptoms of a certain disease improve when a resident who lived in a residence with a certain insulation performance class lives in a residence with another insulation performance class different from the certain insulation performance class, obtaining the improvement rate for each of residences with a plurality of second insulation performance classes other than a first insulation performance class used as a reference, obtaining first statistical data on the number of patients suffering from the certain disease, obtaining second statistical data on the relationship between the insulation performance class of the residence and the age of the residents, and calculating a first evaluation parameter related to the rate at which residents of a certain age suffer from the certain disease, for residences of at least one insulation performance class, based on the first statistical data, the second statistical data, and the improvement rate.

[0007] In order to achieve the above object, an evaluation device according to the present disclosure includes a calculation unit capable of executing the above evaluation method, and an output unit capable of outputting a calculation result of the calculation unit.

[0008] In order to achieve the above-mentioned objective, the evaluation system of the present disclosure comprises the above-mentioned evaluation device and a user terminal capable of communicating with the evaluation device, wherein the evaluation device is a server device capable of communicating with the user terminal, and the user terminal has a display unit that displays information output from the output unit.

[0009] In order to achieve the above object, a user terminal according to the present disclosure is a user terminal capable of communicating with an evaluation device capable of executing an evaluation method for evaluating matters related to residences, and is equipped with a display unit, the evaluation method defining an improvement rate as the rate at which subjective symptoms of a certain disease improve when a resident who lived in a residence with a certain insulation performance class lives in a residence with another insulation performance class different from the certain insulation performance class, obtaining the improvement rate for each of residences with a plurality of second insulation performance classes other than a first insulation performance class used as a reference, obtaining first statistical data on the number of patients suffering from the certain disease, obtaining second statistical data on the relationship between the insulation performance class of the residence and the age of the residents, and calculating a first evaluation parameter related to the rate at which residents of a certain age suffer from the certain disease, for residences with at least one insulation performance class, based on the first statistical data, the second statistical data, and the improvement rate, and the display unit is a part that displays information output from the evaluation device.

[0010] In order to achieve the above object, an evaluation program according to the present disclosure causes a computer to execute the above evaluation method. [Brief description of the drawings]

[0011] [Figure 1] FIG. 1 is a block diagram showing an evaluation device according to a first embodiment. [Diagram 2] FIG. 1 is a diagram illustrating an example of a residence according to a first embodiment. [Diagram 3] 6 is a graph showing a relationship between temperature information and a first evaluation parameter in the first embodiment. [Figure 4] 4 is a flowchart illustrating an example of processing executed by a calculation unit in the first embodiment. [Diagram 5] FIG. 2 is a diagram illustrating a specific example of an evaluation device according to the first embodiment. [Figure 6] 13 is a graph showing the relationship between temperature information and a fourth evaluation parameter according to the second embodiment. [Figure 7] 10 is a flowchart illustrating an example of processing executed by a calculation unit in the second embodiment. [Figure 8] FIG. 13 is a diagram illustrating a specific example of an evaluation device according to the second embodiment. [Figure 9] FIG. 1 illustrates an embodiment of an evaluation system. [Figure 10] FIG. 1 is a block diagram illustrating an embodiment of an evaluation system. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] First Embodiment The evaluation device 100 of this embodiment shown in Fig. 1 is a device capable of executing the evaluation method of this embodiment for evaluating matters related to a residence. In the following explanation, the evaluation device 100 will be explained using as an example a case where residence D1 shown in Fig. 2 is remodeled into residence D2 and residence D2 is evaluated as an evaluation target.

[0013] As shown in FIG. 2, the residence D1 and the residence D2 have the same floor plan. In FIG. 2, the floor plan is illustrated in a simplified manner, but the residence D1 and the residence D2 may include a plurality of rooms or may be one room. In this embodiment, the residence D2 differs from the residence D1 in that the two windows W1 provided in the residence D1 are changed to a window W2. The window W2 is a window with better thermal insulation performance than the window W1. The average operative temperature Tave inside the residence D1 is temperature T1. The minimum operative temperature Tmin inside the residence D1 is temperature T2. The thermal insulation performance grade (thermal insulation grade) G of the residence D1 is 1. The average operative temperature Tave inside the residence D2 is temperature T3. The minimum operative temperature Tmin inside the residence D2 is temperature T4. The thermal insulation performance grade G of the residence D2 is 5.

[0014] The average operative temperature Tave is the average value of the temperature acting on an inhabitant in a room where the inhabitant is staying, in a dwelling under certain conditions during a certain period of time. The minimum operative temperature Tmin is the average value of the lowest temperature acting on an inhabitant in a day, in a dwelling under certain conditions during a certain period of time. The average operative temperature Tave is the same as, for example, the average occupied room operative temperature in Non-Patent Document 1. The minimum operative temperature Tmin is the same as, for example, the average daily minimum operative temperature in a house in Non-Patent Document 1.

[0015] The insulation performance grade G is one of the evaluation standards in the housing performance indication system established by Japanese law. The higher the insulation performance grade G number, the higher the insulation performance of the residence. At the time of filing this application, there are seven insulation performance grades G, from 1 to 7. In the following explanation, an example of evaluation after April 2022 and before October 2022, when the insulation performance grade G was five, from 1 to 5, may be described.

[0016] Temperature T3, which is the average sensible temperature Tave in dwelling D2, is greater than temperature T1, which is the average sensible temperature Tave in dwelling D1. Temperature T4, which is the minimum sensible temperature Tmin in dwelling D2, is greater than temperature T2, which is the minimum sensible temperature Tmin in dwelling D1. Thermal insulation performance grade G in dwelling D2 is greater than thermal insulation performance grade G in dwelling D1. Dwelling D2 has higher insulation performance than dwelling D1 by changing the windows to windows W2 with higher insulation performance.

[0017] As shown in Fig. 1, the evaluation device 100 includes an input unit 50, a display unit 60, and a control unit 70. The control unit 70 includes a calculation unit 10, a reception unit 20, and an output unit 30. The calculation unit 10 is capable of executing an evaluation method for evaluating matters related to a residence based on information input via the input unit 50 and received by the reception unit 20. The calculation result of the calculation unit 10 is output from the output unit 30 and displayed on the display unit 60. The calculation unit 10 includes a temperature information acquisition unit 11, an improvement rate acquisition unit 12, a statistical data acquisition unit 13, and an evaluation unit 14.

[0018] The temperature information acquisition unit 11 acquires temperature information T related to the residence. The temperature information T related to the residence includes an average operative temperature Tave inside the residence, and a minimum operative temperature Tmin inside the residence. The temperature information acquisition unit 11 acquires temperature information T related to the residence based on, for example, information related to the residence and environmental information outside the residence. The information related to the residence includes the material constituting each component of the residence, the dimensions of each component, and the heat transmission coefficient of each component. The environmental information outside the residence includes the outside air temperature in the environment outside the residence. The temperature information acquisition unit 11 calculates the amount of heat flowing between the inside and the outside of the residence to acquire temperature information T related to the residence. In this embodiment, the temperature information acquisition unit 11 acquires temperature information T for each of the residences of each insulation performance class G and temperature information T for the residence to be evaluated. The temperature information T for the residences of each insulation performance class G is the average value of the temperature information for the residences of each insulation performance class G.

[0019] The temperature information acquisition unit 11 may calculate the temperature information related to the residence using a known program capable of analyzing the thermal environment of a building. For example, a known program capable of analyzing the thermal environment may be AE-Sim / Heat by Architectural Environment Solutions Co., Ltd.

[0020] The improvement rate acquisition unit 12 acquires an improvement rate C for a certain disease in a residence. The improvement rate C is the rate at which subjective symptoms of a certain disease improve when a resident who lived in a residence with a certain insulation performance class G lives in a residence with another insulation performance class G different from the certain insulation performance class G. In this embodiment, the other insulation performance class G is an insulation performance class G higher than the certain insulation performance class G. The improvement rate C is the same as the improvement rate described in, for example, the following document: "Atsushi Iwamae, 'Large-scale questionnaire survey on the health improvement effect of residential insulation,' Thermal Environment Steering Committee, Environmental Engineering Committee, Architectural Institute of Japan, Abstracts of the 43rd Heat Symposium, October 2013, pp. 87-90." In the above-mentioned document, a questionnaire survey is conducted on residents who have moved regarding the subjective symptoms of various diseases before and after moving, and the percentage of residents who responded that they had symptoms of a certain disease before moving and who responded that they had no symptoms after moving is defined as the improvement rate C for a certain disease. In the above-mentioned document, the improvement rate C for a certain disease is the value obtained by dividing the number of residents who responded that they had symptoms of a certain disease before moving and who responded that they had no symptoms after moving by the number of residents who responded that they had symptoms of a certain disease before moving. For example, if there are 300 residents who responded that they had symptoms of a certain disease before moving and 60 of the 300 residents responded that they had no symptoms after moving, the improvement rate C for a certain disease is 60 / 300=0.2. Some diseases include, for example, heart disease, cerebrovascular disease, hypertension, diabetes, bronchial asthma, atopic dermatitis, pneumonia, arthritis, allergic rhinitis, and allergic conjunctivitis.

[0021] In this disclosure, "when a resident who lived in a residence with a certain insulation performance class lives in a residence with a different insulation performance class" includes a case where a resident moves to another residence with a different address, and a case where a resident lives in a residence with the same address whose insulation performance class G has changed due to renovations or the like.

[0022] For example, if R1 is the proportion of residents living in a residence with a certain insulation performance class G who have subjective symptoms of a certain disease, and R2 is the proportion of all residents who have lived in a residence with a certain insulation performance class G who have subjective symptoms of a certain disease when living in a residence with another insulation performance class G that is higher than the certain insulation performance class G, then the value represented by (R1-R2) / R1 may be the improvement rate C of a certain disease in a residence with the other insulation performance class G relative to the residence with the certain insulation performance class G. In this case, for example, the improvement rate C of residence D2 relative to residence D1 is a value obtained by subtracting a second proportion R2 at which all residents who have lived in residence D1 have subjective symptoms of a certain disease when living in residence D2 with insulation performance class 5 from a first proportion R1 at which residents living in residence D1 with insulation performance class 1 have subjective symptoms of a certain disease, and dividing the result by the first proportion R1. For example, if a first proportion R1 of residents living in residence D1 who have symptoms of a certain disease is 0.02, and a second proportion R2 of residents who have symptoms of a certain disease when all residents who lived in residence D1 live in residence D2, is 0.015, then the improvement rate C of residence D2 relative to residence D1 is 0.25.

[0023] The first ratio R1 and the second ratio R2 can be obtained, for example, by a questionnaire survey in which a number of residents who have moved from a residence with a relatively low insulation performance class G to a residence with a relatively high insulation performance class G are asked whether they have any subjective symptoms of a certain disease before and after the move. For example, the method described in the following literature, "Atsushi Iwamae, "Large-scale questionnaire survey on the health improvement effect of residential insulation," Architectural Institute of Japan, Environmental Engineering Committee, Thermal Environment Steering Committee, Abstracts of the 43rd Heat Symposium, October 2013, pp. 87-90," can be adopted as the questionnaire survey.

[0024] The improvement rate acquisition unit 12 acquires an improvement rate C for a certain disease for each of the residences of a plurality of second insulation performance classes β other than the first insulation performance class α as a reference. The first insulation performance class α is, for example, insulation performance class G that combines 1 and 2. The plurality of second insulation performance classes β are, for example, insulation performance classes G from 3 to 5. The improvement rate acquisition unit 12 acquires improvement rates C for the residences of a plurality of second insulation performance classes β relative to the residence of the first insulation performance class α. The improvement rate acquisition unit 12 acquires, for example, an improvement rate C of a certain disease in a residence of insulation performance class 3 relative to a residence of insulation performance classes 1 and 2, an improvement rate C of a certain disease in a residence of insulation performance class 4 relative to a residence of insulation performance classes 1 and 2, and an improvement rate C of a certain disease in a residence of insulation performance class 5 relative to a residence of insulation performance classes 1 and 2.

[0025] The improvement rate acquisition unit 12 may acquire each improvement rate C from a database in which the improvement rate C in the residence of each second insulation equivalent performance grade β is stored. The improvement rate acquisition unit 12 may acquire the first rate R1 and the second rate R2 from a database in which the first rate R1 and the second rate R2 are stored, and calculate each improvement rate C in the residence of each second insulation equivalent performance grade β based on the first rate R1 and the second rate R2. The improvement rate acquisition unit 12 may acquire the above-mentioned questionnaire result from a database in which the questionnaire result is stored, and calculate each improvement rate C based on the questionnaire result. The database referred to by the improvement rate acquisition unit 12 may be a database provided in the evaluation device 100, or may be a database provided outside the evaluation device 100. When referring to a database provided outside the evaluation device 100, the improvement rate acquisition unit 12 acquires information from the database by wireless communication via the Internet, for example.

[0026] The statistical data acquiring unit 13 acquires statistical data of a country. In this embodiment, the statistical data acquiring unit 13 acquires statistical data of Japan. The statistical data acquiring unit 13 may acquire statistical data of a country other than Japan. The statistical data acquired by the statistical data acquiring unit 13 includes first statistical data DS1, second statistical data DS2, and third statistical data DS3.

[0027] The first statistical data DS1 is statistical data on the number of patients suffering from a certain disease. The first statistical data DS1 includes, for example, a patient survey among statistical data published by the Ministry of Health, Labor and Welfare of Japan. In this embodiment, the first statistical data DS1 is statistical data on the number of patients suffering from a certain disease who visit a medical institution. The second statistical data DS2 is statistical data on the relationship between the insulation performance class G of a residence and the age of the resident. The second statistical data DS2 may be statistical data that directly indicates the relationship between the insulation performance class G of a residence and the age of the resident, or may be statistical data used to obtain the relationship between the insulation performance class G of a residence and the age of the resident. The second statistical data DS2 includes, for example, statistical data obtained by the Housing and Land Statistics Survey conducted by the Ministry of Internal Affairs and Communications of Japan. The third statistical data DS3 is statistical data on medical expenses incurred for a certain disease. The third statistical data DS3 includes, for example, national medical expenses and statistics by social medical care procedure (formerly: survey by social medical care procedure) among statistical data published by the Ministry of Health, Labor and Welfare of Japan. The statistical data acquisition unit 13 acquires each piece of statistical data via, for example, the Internet.

[0028] The statistical data acquiring unit 13 may acquire each statistical data by, for example, referring to a database in which each statistical data is stored. In this case, the database referred to by the statistical data acquiring unit 13 may be a database provided in the evaluation device 100, or may be a database provided outside the evaluation device 100. When referring to a database provided outside the evaluation device 100, the statistical data acquiring unit 13 acquires information from the database by, for example, wireless communication via the Internet.

[0029] The evaluation unit 14 receives the information acquired by the temperature information acquisition unit 11, the information acquired by the improvement rate acquisition unit 12, and the information acquired by the statistical data acquisition unit 13. The evaluation unit 14 receives the information input to the input unit 50. The information input to the evaluation unit 14 from the input unit 50 includes information on the target residence, information on the residents living in the target residence, and disease information. The evaluation unit 14 evaluates the target residence based on the information input from the temperature information acquisition unit 11, the improvement rate acquisition unit 12, the statistical data acquisition unit 13, and the input unit 50.

[0030] The evaluation unit 14 calculates the estimated number of residents of a certain age group living in a residence with each insulation performance class G based on the second statistical data DS2. In this embodiment, the evaluation unit 14 acquires the relationship between the insulation performance class G of the residence and the age of the residents based on the second statistical data DS2 and other information, and calculates the estimated number of residents of a certain age group living in a residence with each insulation performance class G based on the relationship between the insulation performance class G of the residence and the age of the residents. The second statistical data DS2 input to the evaluation unit 14 is statistical data indicating the relationship between the construction date of the residence and the age of the person who mainly supports the household living in the residence. The other information is information regarding the relationship between the construction date of the residence and the insulation performance class G of the residence. The evaluation unit 14 acquires the relationship between the construction date of the residence and the age of the person who mainly supports the household living in the residence from the second statistical data DS2, and calculates the estimated number of residents of a certain age group living in a residence with each insulation performance class G by corresponding the construction date of the residence to the insulation performance class G of the residence. For example, most dwellings built before 1990 have an insulation performance class G of 1 or 2, most dwellings built between 1991 and 2000 have an insulation performance class G of 3, and most dwellings built between 2001 and 2018 have an insulation performance class G of 4 or 5. By matching this information with the relationship between the construction date of the dwelling and the age of the residents living in the dwelling, which is obtained based on the second statistical data DS2, it is possible to calculate the estimated number of residents of a certain age living in dwellings with each insulation performance class G.

[0031] Table 1 below shows an example of the relationship between the construction date of a residence, the insulation performance class G, and the proportion of age groups living in the residence. The data in Table 1 is based on the basic tabulation of houses and households in the Housing and Land Statistics Survey of 2018 conducted by the Ministry of Internal Affairs and Communications of Japan. In the example of Table 1, the second statistical data DS2 is the basic tabulation of houses and households in the Housing and Land Statistics Survey of 2018 conducted by the Ministry of Internal Affairs and Communications of Japan. For example, based on Table 1, it is estimated that in the age group of 25 years old or older and 34 years old or younger, the proportion of people living in houses with insulation performance classes G of 1 and 2 is 19%, the proportion of people living in houses with insulation performance classes G of 3 is 20%, and the proportion of people living in houses with insulation performance classes G of 4 and 5 is 61%. Therefore, the evaluation unit 14 can calculate the estimated number of people in the age group of 25 years old or older and 34 years old or younger for each insulation performance class G by multiplying each proportion by the total number of people in the age group of 25 years old or older and 34 years old or younger. Data on the total number of people in each age group is acquired by, for example, the statistical data acquisition unit 13.

[0032] [Table 1]

[0033] Table 1 shows the percentage of residents living in dwellings with insulation performance class G 4 and the percentage of residents living in dwellings with insulation performance class G 5. The percentage of residents living in dwellings with insulation performance class G 5 can be set to 20% of the total percentage of residents living in dwellings with insulation performance class G 4 and 5, based on Table 7 in the following document: "Iwamae Atsushi, "Insulation Performance and Health," Architectural Institute of Japan, Environmental Engineering Committee, Thermal Environment Steering Committee, Abstracts of the 40th Heat Symposium, October 2010, p.25-28." In this case, based on Table 1, it is estimated that the percentage of people aged 25 years or older and 34 years or younger who live in dwellings with insulation performance class G 4 is 48.8%, and the percentage of people living in dwellings with insulation performance class G 5 is 12.2%. The percentage of residents living in dwellings with an insulation performance class G of 4 and the percentage of residents living in dwellings with an insulation performance class G of 5 may be obtained based on other information different from the above-mentioned documents.

[0034] Table 1 shows the percentage of residents living in dwellings with a thermal insulation performance grade G of 1 and the percentage of residents living in dwellings with a thermal insulation performance grade G of 2. In this embodiment, thermal insulation performance grade 1 and thermal insulation performance grade 2 are treated together as the first thermal insulation performance grade α, so the total percentage of thermal insulation performance grades 1 and 2 shown together in Table 1 can be used.

[0035] The evaluation unit 14 may acquire the relationship between the insulation performance class G of the residence and the age of the resident based on the second statistical data DS2 in any manner. For example, when the second statistical data DS2 is statistical data directly indicating the relationship between the insulation performance class G of the residence and the age of the resident, the evaluation unit 14 may acquire the relationship between the insulation performance class G of the residence and the age of the resident based only on the second statistical data DS2. For example, when the second statistical data DS2 is data indicating the ratio of residences having each insulation performance class G, the evaluation unit 14 may acquire the relationship between the insulation performance class G of the residence and the age of the resident based on the second statistical data DS2 and information on the age of the resident living in each residence. For example, the statistical data acquisition unit 13 may acquire a plurality of second statistical data DS2, and the evaluation unit 14 may acquire the relationship between the insulation performance class G of the residence and the age of the resident based on the plurality of second statistical data DS2. In this case, the plurality of second statistical data DS2 may include both data indicating the percentage of residences having each insulation performance class G and data indicating the age of the residents living in each residence.

[0036] In this embodiment, for a certain age group, the total value of the estimated number of residents living in a house with each insulation performance class G multiplied by the proportion of residents suffering from a certain disease is considered to correspond to the number of patients in a certain age group suffering from the certain disease. Let x be the type of a certain disease, y be the age group, and R be the proportion of residents of a certain age group living in a certain insulation performance class G who suffer from a certain disease. x,G,y Let p be the estimated number of people of a certain age living in a house with insulation performance class G. G,y Then, the number of patients with a certain disease in a certain age group is N x,y is expressed by the following equation (1).

[0037]

number

[0038] The right-hand term of equation (1) is the estimated number of people p G,y The p for all insulation performance grades G set in the year of the second statistical data DS2 used to calculate G,y R x,G,y For example, the estimated number of people p G,y If the insulation performance grade G set in the year of the second statistical data DS2 used to calculate is set to five levels from 1 to 5, the number of patients with a certain disease in a certain age group, N x,y Each p with insulation performance grade G from 1 to 5 G,y R x,G,y The total number of patients N x,y is the total number of patients, including the number of patients who visit a medical institution and the number of patients who do not visit a medical institution.

[0039] If the standard first insulation performance grade is α, the proportion of people of a certain age who live in a house with the first insulation performance grade α who suffer from a certain disease is R x,α,y If multiple second insulation performance classes other than the first insulation performance class α are β, the rate at which residents of a certain age who live in a house with the second insulation performance class β suffer from a certain disease is R x,β,y The improvement rate C of a certain disease in a house with the second insulation performance class β compared to the first insulation performance class α is expressed as C x,β Then, the following equation (2) holds.

[0040]

number

[0041] The evaluation unit 14 evaluates each improvement rate C acquired by the improvement rate acquisition unit 12. x,β and each estimated number of people p acquired by the statistical data acquisition unit 13 G,yBased on equations (1) and (2), a first evaluation parameter P1 regarding the rate at which residents of a certain age suffer from a certain disease for a residence with a first insulation performance class α is calculated. x,α,y The evaluation unit 14 evaluates each improvement rate C x,β and each estimated number of people p acquired by the statistical data acquisition unit 13 G,y Based on equations (1) and (2), a first evaluation parameter P1 regarding the rate at which residents of a certain age suffer from a certain disease for a residence with the second insulation performance class β is calculated. x,β,y In the following description, the first evaluation parameter P1 x,α,y and the first evaluation parameter P1 x,β,y When there is no distinction between the first evaluation parameter P1 and the second evaluation parameter P2, these are collectively referred to as the first evaluation parameter P1. The first evaluation parameter P1 for a certain insulation performance class G corresponds to an estimate of the proportion (prevalence) of residents of a certain age group living in a certain insulation performance class G who have visited a medical institution. In this embodiment, the evaluation unit 14 calculates the first evaluation parameter P1 as a parameter related to the proportion of patients who suffer from a certain disease and visit a medical institution.

[0042] Substituting equation (2) into equation (1), the ratio R x,α,y The first evaluation parameter P1 x,α,y and the number of patients N x,y Let n be the number of patients of a certain age group who suffer from a certain disease and visit a medical institution. x,y In this embodiment, the number of patients with a certain disease x that can be obtained based on the first statistical data DS1 is the number of patients who visit a medical institution, so the number of patients N x,y Number of patients examined: n x,y , and the incidence rate of a certain disease R x,α,y The first evaluation parameter P1 is the ratio of patients who suffer from a certain disease x and visit a medical institution. x,α,y The evaluation unit 14 replaces a certain disease type with x, a first insulation performance class with α, a second insulation performance class with β, and a certain age group with y, and calculates the first evaluation parameter P1 for the residence with the first insulation performance class α among the first evaluation parameters P1. x,α,yis calculated using the following formula (3).

[0043]

number

[0044] In equation (3), the right-hand term in the denominator is the estimated number of people p G,y The insulation performance grades G set in the year of the second statistical data DS2 used to calculate p for all insulation performance grades G other than the first insulation performance grade α, i.e., the second insulation performance grade β β,y (1-C x,β In equation (3), the number of patients n x,y can be obtained based on the first statistical data DS1. In formula (3), the improvement rate C of a certain disease in a house with the second insulation performance class β relative to the first insulation performance class α x,β can be acquired by the improvement rate acquisition unit 12. By substituting these acquired numerical values ​​into the formula (3), the first evaluation parameter P1 x,α,y can be calculated.

[0045] In this embodiment, the evaluation unit 14 calculates the first evaluation parameter P1 x,α,y Based on the above equation (2), the first evaluation parameter P1 x,β,y The first evaluation parameter P1 x,β,y is expressed by the following formula (4). The evaluation unit 14 evaluates the first evaluation parameter P1 for the residence of the second insulation performance class β among the first evaluation parameters P1. x,β,y is calculated using the following formula (4).

[0046]

number

[0047] As described above, the evaluation unit 14 calculates the first evaluation parameter P1 related to the rate at which residents of a certain age suffer from a certain disease for at least one residence of insulation equivalent performance class G based on the first statistical data DS1, the second statistical data DS2, and the improvement rate C. In this embodiment, the evaluation unit 14 acquires the first evaluation parameter P1 for each residence of insulation equivalent performance class G. The evaluation unit 14 calculates the first evaluation parameter P1 for all residences of insulation equivalent performance class G set in the year of the first statistical data DS1 and the second statistical data DS2. The evaluation unit 14 acquires the relationship between the temperature information T and the first evaluation parameter P1 based on the temperature information T related to the temperature inside the residence and each first evaluation parameter P1 for each residence of insulation equivalent performance class G. The temperature information T includes an average operative temperature Tave and a minimum operative temperature Tmin.

[0048] As shown in FIG. 3, in this embodiment, the evaluation unit 14 obtains a first evaluation parameter curve CP1 as a relationship between the temperature information T and the first evaluation parameter P1. In the graph of FIG. 3, the horizontal axis is the temperature information T, and the vertical axis is the first evaluation parameter P1. In the example of FIG. 3, when the insulation performance grade G is 1 to 5, the first insulation performance grade α is 1, 2, and the second insulation performance grade β is 3, 4, 5. In the example of FIG. 3, the temperature information T in a residence whose insulation performance grade G is 1, 2 is a temperature Ta. In the example of FIG. 3, the temperature information T in a residence whose insulation performance grade G is 3 is a temperature Tb higher than the temperature Ta. In the example of FIG. 3, the temperature information T in a residence whose insulation performance grade G is 4 is a temperature Tc higher than the temperature Tb. In the example of FIG. 3, the temperature information T in a residence whose insulation performance grade G is 5 is a temperature Td higher than the temperature Tc.

[0049] In the example of FIG. 3, the first evaluation parameter P1 for a residence with insulation performance grade G of 1 or 2 is a value P1d. In the example of FIG. 3, the first evaluation parameter P1 for a residence with insulation performance grade G of 3 is a value P1c lower than the value P1d. In the example of FIG. 3, the first evaluation parameter P1 for a residence with insulation performance grade G of 4 is a value P1b lower than the value P1c. In the example of FIG. 3, the first evaluation parameter P1 for a residence with insulation performance grade G of 5 is a value P1a lower than the value P1b. From FIG. 3, it can be seen that the higher the insulation performance grade G of the residence, the higher the temperature information T regarding the temperature inside the residence and the lower the first evaluation parameter P1. This indicates that the higher the insulation of the residence, the lower the rate at which residents are likely to suffer from a certain disease. Depending on the type of disease, the relationship between insulation and the rate at which the disease occurs may not be as shown in FIG. 3.

[0050] The first evaluation parameter curve CP1 is an approximation curve found from plots of temperature information T and the first evaluation parameter P1 related to a certain disease in a certain age group for each insulation performance class G. The first evaluation parameter curve CP1 is a curve showing the change in the first evaluation parameter P1 with respect to the temperature information T. The equation expressing the first evaluation parameter curve CP1 is an equation expressing the first evaluation parameter P1 for a residence having temperature information T. Let x be a type of a certain disease, y be a certain age group, and T be the temperature information, and the first evaluation parameter P1 for a residence having the temperature information T be P1. x,T,y In this case, the relationship between the temperature information T and the first evaluation parameter P1 is expressed by the following formula (5).

[0051]

number

[0052] The evaluation unit 14 obtains the first evaluation parameter curve CP1, i.e., formula (5), for each age group and disease. The temperature information T used to obtain the first evaluation parameter curve CP1 varies depending on the type of disease. When the disease is cardiac disease or cerebrovascular disease, the evaluation unit 14 uses the minimum operative temperature Tmin as the temperature information T. This is because cardiac disease and cerebrovascular disease may develop due to blood vessels contracting due to the temperature difference when moving temporarily from a heated room to a relatively cold place in a residence, and the minimum temperature in the residence is considered to have a greater effect on the development of cardiac disease and cerebrovascular disease than the average temperature of the room where the resident is staying. When the disease is a disease other than cardiac disease or cerebrovascular disease, the evaluation unit 14 uses the average operative temperature Tave as the temperature information T. This is because it is considered that diseases other than cardiac disease and cerebrovascular disease are more likely to develop due to chronically low temperatures in the room where the resident is staying, and the average temperature in the room where the resident is staying is considered to have a greater effect on the development of diseases other than cardiac disease and cerebrovascular disease than the minimum temperature in the residence. By inputting any temperature information T into equation (5), the first evaluation parameter P1 for a dwelling having any temperature information T can be calculated. x,T,y , i.e., it is possible to obtain an estimate of the proportion of patients of a certain age who are seen with a certain disease and who live in a dwelling with any temperature information T.

[0053] The evaluation unit 14 calculates a second evaluation parameter P2 related to an estimated value of medical expenses for a certain disease incurred by a resident of a certain age group for at least one residence of insulation performance class G, based on the first statistical data DS1, the third statistical data DS3, and the first evaluation parameter P1. In this embodiment, the second evaluation parameter P2 is an estimated value of medical expenses incurred by a resident of a certain age group for a certain disease during a certain period of time. The certain period can be set arbitrarily. For example, if the certain period is set to 10 years, the second evaluation parameter P2 can be calculated as an estimated value of medical expenses incurred by a resident of a certain age group for a certain disease over the next 10 years.

[0054] Among the second evaluation parameters P2, the second evaluation parameter P2 related to the estimated medical expenses for a certain disease x inflicted on a resident of a certain age group y living in a house having certain temperature information T is defined as P2 x,T,y The second evaluation parameter P2 x,T,y In order to calculate m, the evaluation unit 14 obtains the total medical expenses for a certain disease based on the third statistical data DS3 related to the medical expenses for a certain disease, and obtains the total number of patients who visit a medical institution among patients suffering from a certain disease based on the first statistical data DS1. The total medical expenses are the total value obtained by adding up the medical expenses for a certain disease of all ages in the country from which the third statistical data DS3 was obtained. In this embodiment, the medical expenses include initial and follow-up consultation fees, home medical expenses, hospitalization fees, examination fees, surgery fees, and in-hospital drug expenses, and do not include drug and pharmacy drug expenses. In-hospital drug expenses are expenses for medication and injections, etc. The total number of patients is the total value obtained by adding up the number of patients who visit a medical institution among all ages who suffer from a certain disease in the country from which the first statistical data DS1 was obtained. The evaluation unit 14 calculates the total medical expenses as m x Let the total number of patients be n x Then, the second evaluation parameter P2 for the estimated medical costs for a certain disease in a resident of a certain age group living in a house with certain temperature information T is x,T,y is calculated using the following formula (6).

[0055]

number

[0056] As shown in equation (6), the second evaluation parameter P2 x,T,y is the first evaluation parameter P1 x,T,y In contrast, total medical expenses m x The total number of patients examined is n x The first evaluation parameter P1 is the value obtained by dividing the medical expenses per patient by the self-payment rate S. x,T,ycorresponds to an estimate of the proportion of patients of age y living in a residence with temperature information T who suffer from disease x, so the first evaluation parameter P1 x,T,y By multiplying the calculated parameter by the self-payment rate S, a parameter corresponding to the estimated medical expenses can be calculated. The second evaluation parameter P2 x,T,y can be calculated.

[0057] The input unit 50 is a part that allows a user of the evaluation device 100 to input at least one of information about the residence, information about the age of the resident, and information about a certain disease to the evaluation device 100. In this embodiment, the user can input all of information about the residence, information about the age of the resident, and information about a certain disease to the evaluation device 100 via the input unit 50. The user can input information about the residence to be evaluated and a signal to start evaluation of the residence to be evaluated to the evaluation device 100 via the input unit 50. The reception unit 20 is a part of the control unit 70 that is capable of receiving information and signals input from the input unit 50. The information and signals received by the reception unit 20 are input to the calculation unit 10.

[0058] The output unit 30 is a part capable of outputting the calculation results of the calculation unit 10. In this embodiment, the output unit 30 is capable of outputting the first evaluation parameter P1, the second evaluation parameter P2, and the evaluation results of the residence that is the evaluation target. The evaluation results output from the output unit 30 are displayed on the display unit 60.

[0059] The evaluation method using the above-mentioned evaluation device 100 will be described in the case where the evaluation target is a residence D2. The calculation unit 10 executes the evaluation method of this embodiment by executing processing according to the flowchart shown in FIG. 4, for example. A user who uses the evaluation device 100 inputs information about the target residence, information about the age of the resident, and information about a certain disease to the evaluation device 100 via the input unit 50. The user causes the calculation unit 10 of the evaluation device 100 to start evaluation via the input unit 50.

[0060] As shown in FIG. 4, when various information is input via the input unit 50 (step S11), the calculation unit 10 acquires temperature information T in the temperature information acquisition unit 11 (step S12). In step S12 of this embodiment, the temperature information acquisition unit 11 acquires temperature information T related to the temperature inside the residence D2 to be evaluated and temperature information T related to the temperature inside the residence for each insulation performance class G. In step S12, the temperature information acquisition unit 11 calculates temperature information T related to the temperature inside the residence D2 based on the information on the residence D2 and information on a certain disease input from the input unit 50. When the diseases input via the input unit 50 include heart disease and cerebrovascular disease, the temperature information acquisition unit 11 acquires the minimum operative temperature Tmin as the temperature information T. When the diseases input include diseases other than heart disease and cerebrovascular disease, the temperature information acquisition unit 11 acquires the average operative temperature Tave as the temperature information T.

[0061] The calculation unit 10 acquires the improvement rates C for the multiple second insulation performance grades β in the improvement rate acquisition unit 12 (step S13). The calculation unit 10 acquires various statistical data in the statistical data acquisition unit 13 (step S14). In step S14 of this embodiment, the statistical data acquisition unit 13 acquires the first statistical data DS1, the second statistical data DS2, and the third statistical data DS3. The order in which steps S12, S13, and S14 are performed is not particularly limited. Steps S12, S13, and S14 may be performed simultaneously.

[0062] The calculation unit 10 calculates the first evaluation parameter P1 and the second evaluation parameter P2 in the evaluation unit 14 and evaluates the evaluation target (step S15). The calculation unit 10 outputs these calculation results to the output unit 30 (step S16). The calculation results output from the output unit 30 are displayed on the display unit 60. The user can obtain an evaluation of a certain disease of the residence D2, which is the evaluation target, via the display unit 60. By being able to obtain the first evaluation parameter P1 via the display unit 60, the user can obtain an estimate of the proportion of people of a certain age who will suffer from a certain disease input by the user if they live in the residence D2, which is the evaluation target. By being able to obtain the second evaluation parameter P2 via the display unit 60, the user can obtain an estimate of medical expenses caused by a certain disease input by the user if a person of a certain age lives in the residence D2, which is the evaluation target. The user can obtain an evaluation on remodeling the dwelling D1 into the dwelling D2 by obtaining the first evaluation parameter P1 and the second evaluation parameter P2 for the dwelling D2. Since remodeling the dwelling D1 into the dwelling D2 involves changing the window from window W1 to window W2, the user can also obtain an evaluation on the thermal insulation performance of window W2 by obtaining and comparing the evaluations of both the dwelling D1 and the dwelling D2.

[0063] As shown in FIG. 5, the evaluation device 100 described above is constructed by a smart device SD. The smart device SD may be, for example, a smartphone or a tablet terminal. In the smart device SD, the control unit 70 is a processor such as a CPU in which application software capable of executing the evaluation method of the present embodiment described above is installed. The application software installed in the microprocessor is an evaluation program that causes a computer to execute the evaluation method of the present embodiment described above. At least a part of the components constituting the calculation unit 10 in the control unit 70 is realized by, for example, a processor such as a CPU executing an evaluation program stored in a storage unit (not shown).

[0064] At least a part of the functions of the calculation unit 10 may be realized by hardware including circuit units such as LSI (Large Scale Integration), ASIC (Application Specific Integrated Circuit), FPGA (Field-Programmable Gate Array), and GPU (Graphics Processing Unit), or may be realized by cooperation between software and hardware. The storage unit (not shown) is realized by storage media such as RAM (Random Access Memory), ROM (Read Only Memory), HDD (hard disk drive), and flash memory.

[0065] In the smart device SD, the input unit 50 and the display unit 60 of the evaluation device 100 are the display unit of the smart device SD, i.e., the screen of the smart device SD. The user can input various information to the calculation unit 10 by tapping the screen of the smart device SD, which is the input unit 50. The user can obtain the calculation results of the calculation unit 10 by looking at characters and the like displayed on the screen of the smart device SD, which is the display unit 60.

[0066] FIG. 5 shows an example of a state in which a screen of application software capable of executing the above-mentioned evaluation method is displayed on the screen of the smart device SD. The screen displays a model 40 of the residence D2 to be evaluated, a first display portion 41 showing the type of the selected disease, a second display portion 42 showing information on the resident, a setting button 44, an evaluation start button 45, and a result display portion 46. The second display portion 42 has an age display portion 42a showing the age of the resident, and a number display portion 42b showing the number of residents in the age group displayed in the age display portion 42a. A plurality of second display portions 42 are provided. The user can increase the number of second display portions 42 as appropriate. In the example of FIG. 5, two second display portions 42 are provided.

[0067] By tapping the first display portion 41, the user can input the type of disease that is the target of the first evaluation parameter P1 and the second evaluation parameter P2. In the example of FIG. 5, heart disease is displayed as one disease in the first display portion 41. Two or more diseases may be displayed in the first display portion 41. The user can also select all diseases that can be the target as diseases to be input to the evaluation device 100 via the first display portion 41. By tapping the second display portion 42, the user can input the age and number of the target residents. By tapping the setting button 44, the user can open a screen where various information about the target residence can be input.

[0068] The user can cause the calculation unit 10 to start evaluation of the set evaluation target by tapping the evaluation start button 45. The result of the evaluation target evaluated by the calculation unit 10 is displayed in the result display portion 46. In the result display portion 46, for example, a first evaluation parameter P1, a second evaluation parameter P2, and the evaluation result are displayed. In the example of FIG. 5, the first evaluation parameter P1 is displayed for each age group as the incidence rate [%] of the disease displayed in the first display portion 41. When multiple diseases are input, the first evaluation parameter P1 is displayed for each of the multiple diseases in the result display portion 46.

[0069] In the example of Fig. 5, the second evaluation parameter P2 is displayed as the medical expenses [yen / year / person] for the disease displayed in the first display section 41. If multiple diseases are input, the total value of the medical expenses for the multiple diseases may be displayed as the second evaluation parameter P2 in the result display section 46, or the medical expenses for each of the multiple diseases may be displayed as the second evaluation parameter P2 in the result display section 46. In the example of Fig. 5, the evaluation result is displayed as an evaluation rank.

[0070] As described above, the evaluation method using the evaluation device 100 includes: defining an improvement rate C as the rate at which subjective symptoms of a certain disease improve when a resident who lived in a dwelling with a certain insulation performance class G lives in a dwelling with a different insulation performance class G different from the certain insulation performance class G; acquiring the improvement rate C for each of a plurality of dwellings with a second insulation performance class β other than the first insulation performance class α used as a reference; acquiring first statistical data DS1 on the number of patients suffering from a certain disease; acquiring second statistical data DS2 on the relationship between the insulation performance class G of the dwelling and the age of the residents; and calculating a first evaluation parameter P1 on the rate at which residents of a certain age suffer from a certain disease for at least one dwelling with insulation performance class G based on the first statistical data DS1, the second statistical data DS2, and the improvement rate C. For example, by acquiring the improvement rate C obtained based on a questionnaire survey, the proportion of residents living in a plurality of residences with the second insulation performance class β who suffer from a certain disease can be expressed using the proportion of residents living in a residence with the first insulation performance class α who suffer from a certain disease, as shown in formula (2). As described above, based on the first statistical data DS1 and the second statistical data DS2, the proportion of residents of a certain age who live in a residence with a certain insulation performance class G and the number of patients of a certain age who have been examined for a certain disease can be acquired. Based on these, the first evaluation parameter P1 relating to the proportion of residents of a certain age who live in a residence with a certain insulation performance class G who suffer from a certain disease can be calculated based on national statistical data, and can be estimated as a value that does not include patients who have not been examined and have not been examined at a medical institution. By using the first evaluation parameter P1 estimated in this way and national data on medical expenses based on the first statistical data DS1, an estimate of medical expenses that may occur when living in the target residence can be accurately calculated. By using the evaluation method and evaluation device 100 of this embodiment, the user can improve the accuracy of evaluation of items related to housing from the perspective of medical expenses.

[0071] The evaluation method using the evaluation device 100 includes calculating an estimated number of residents of a certain age group living in a residence with each insulation performance class G based on the second statistical data DS2, and calculating a first evaluation parameter P1 for a residence with the first insulation performance class α among the first evaluation parameters P1, where x is a type of a certain disease, α is a first insulation performance class, β is a second insulation performance class, and y is a certain age group. x,α,y The first evaluation parameter P1 is calculated from the above-mentioned formula (3). x,α,y By calculating this, the evaluation device 100 can calculate an estimate of the proportion of residents of a certain age who live in a dwelling with the reference first insulation performance class α who will suffer from a certain disease, and can accurately calculate an estimate of the medical expenses incurred by residents of a certain age who live in a dwelling with the first insulation performance class α for a certain disease.

[0072] The evaluation method using the evaluation device 100 is to evaluate the first evaluation parameter P1 for a house having the second insulation performance class β among the first evaluation parameters P1. x,β,y is calculated from the above-mentioned formula (4). x,β,y By calculating this, the evaluation device 100 can calculate an estimate of the proportion of residents of a certain age who live in a residence with the second insulation performance class β who suffer from a certain disease, and can accurately calculate an estimate of the medical expenses incurred by residents of a certain age who live in a residence with the second insulation performance class β.

[0073] The evaluation method using the evaluation device 100 includes acquiring temperature information T on the temperature inside the residence for each residence of each insulation performance class G, acquiring a first evaluation parameter P1 for each residence of each insulation performance class G, and acquiring a relationship between the temperature information T and the first evaluation parameter P1 based on each temperature information T and each first evaluation parameter P1. By acquiring the relationship between the temperature information T and the first evaluation parameter P1, it is possible to acquire the first evaluation parameter P1 for a residence having any temperature information T including temperature information T other than the average temperature in a residence of each insulation performance class G. By acquiring the first evaluation parameter P1 for a residence having any temperature information T, it is possible to accurately calculate an estimate of medical expenses incurred for a certain disease for a certain age group of residents living in a residence having any temperature information T.

[0074] When acquiring the relationship between the temperature information T and the second evaluation parameter P2, the second evaluation parameter P2 is a value calculated based on the third statistical data DS3 related to medical expenses of a specific country such as Japan, and therefore does not include homes in other countries. The first evaluation parameter P1 is also calculated based on the first statistical data DS1 and the second statistical data DS2 of a specific country, but compared to medical expenses, the relationship between the insulation of a home and the proportion of people suffering from a certain disease and the improvement rate C are less likely to differ between countries. In this embodiment, the evaluation device 100 can calculate an estimated value of medical expenses in any country by acquiring the relationship between the temperature information T and the first evaluation parameter P1 and acquiring the third statistical data DS3 used in calculating the second evaluation parameter P2 from a database of any country.

[0075] In the evaluation method using the evaluation device 100, a certain disease type is x, a certain age group is y, and temperature information is T. A first evaluation parameter P1 for a residence having temperature information T is P1 x,T,y When T=T, the relationship between the temperature information T and the first evaluation parameter P1 is expressed by the above-mentioned formula (5). By substituting the temperature information T into formula (5), the evaluation device 100 obtains the first evaluation parameter P1 for the residence having the temperature information T. x,T,y can be easily calculated.

[0076] The evaluation method using the evaluation device 100 includes obtaining third statistical data DS3 related to medical costs for a certain disease, and calculating a second evaluation parameter P2 related to an estimated value of medical costs for a certain disease suffered by residents of a certain age group, based on the first statistical data DS1, the third statistical data DS3, and the first evaluation parameter P1, for at least one residence with thermal insulation performance class G. By calculating the second evaluation parameter P2 based on the first statistical data DS1 and the third statistical data DS3, which are national statistical data, and the first evaluation parameter P1, the evaluation device 100 can more accurately evaluate matters related to the residence from the perspective of medical costs.

[0077] The evaluation method using the evaluation device 100 includes obtaining a total medical cost for a certain disease based on the third statistical data DS3 related to the medical cost for the certain disease, obtaining a total number of patients who visit a medical institution among patients suffering from the certain disease based on the first statistical data DS1, and calculating the total medical cost as m x Let the total number of patients be n x Then, the second evaluation parameter P2 for the estimated medical costs for a certain disease in a resident of a certain age group living in a house with certain temperature information T is x,T,y The second evaluation parameter P2 is calculated from the above-mentioned formula (6). x,T,y By calculating this, the evaluation device 100 can more accurately evaluate matters related to housing from the perspective of medical expenses.

[0078] The evaluation device 100 includes a calculation unit 10 capable of executing the evaluation method of the present embodiment described above, and an output unit 30 capable of outputting the calculation results of the calculation unit 10. By viewing the calculation results output from the output unit 30, for example, via the display unit 60, the user can easily obtain the evaluation results of the items related to the residence evaluated by the evaluation device 100.

[0079] The evaluation device 100 includes a receiving unit 20 that can receive at least one of information related to the residence, information related to the age of the resident, and information related to a certain disease, and input the information to the calculation unit 10. A user can easily obtain evaluation results of items related to the residence under desired conditions by inputting the various pieces of information received by the receiving unit 20 to the evaluation device 100 via an input unit 50.

[0080] The output unit 30 in the evaluation device 100 is capable of outputting the second evaluation parameter P2. The user can easily obtain the second evaluation parameter P2 by viewing the result output from the output unit 30, for example, via the display unit 60. By obtaining the second evaluation parameter P2, the user can know an estimated value of medical expenses to be incurred for a certain disease if the user lives in the target residence.

[0081] The output unit 30 in the evaluation device 100 is capable of outputting a first evaluation parameter P1. A user can easily obtain the first evaluation parameter P1 by viewing the result output from the output unit 30, for example, via the display unit 60. By obtaining the first evaluation parameter P1, a user can know the probability of contracting a certain disease if living in the target residence.

[0082] A user can obtain an evaluation of a current residence and an evaluation of a residence when the current residence is renovated, by using the evaluation device 100. A user can know to what extent the probability of contracting a certain disease is expected to decrease if the current residence is renovated, by comparing a first evaluation parameter P1 for the current residence with a first evaluation parameter P1 for the residence after renovation. A user can know to what extent the medical expenses for a certain disease are expected to be reduced if the current residence is renovated, by comparing a second evaluation parameter P2 for the current residence with a second evaluation parameter P2 for the residence after renovation.

[0083] A user can use the evaluation device 100 to evaluate a new residence to be built. By acquiring a first evaluation parameter P1 for the new residence to be built, the user can know what the expected probability of contracting a certain disease is if the user lives in the new residence to be built. By acquiring a second evaluation parameter P2 for the new residence to be built, the user can know what the expected medical expenses for a certain disease are if the user lives in the new residence to be built.

[0084] A user can use the evaluation device 100 to evaluate a current residence. By acquiring a first evaluation parameter P1 for the current residence, the user can know what the expected probability of contracting a certain disease is if the user continues to live in the current residence. By acquiring a second evaluation parameter P2 for the current residence, the user can know what the expected medical expenses for a certain disease are if the user continues to live in the current residence.

[0085] <Second embodiment> The evaluation device 200 of this embodiment is different from the evaluation device of the first embodiment in that it can accurately evaluate matters related to housing from the viewpoints of pharmacy drug costs and over-the-counter drug costs. The pharmacy drug costs are the costs for drugs purchased at a pharmacy based on a doctor's prescription. The over-the-counter drug costs are the costs for over-the-counter drugs that can be purchased at drug stores and the like. In the following explanation, the same configurations and methods as those of the above-mentioned embodiments may be omitted by appropriately assigning the same reference numerals. The device configuration of the evaluation device 200 is the same as the device configuration of the evaluation device 100 of the first embodiment shown in FIG. 1 and FIG. 5.

[0086] In this embodiment, the statistical data acquisition unit 13 acquires the fourth statistical data DS4 and the fifth statistical data DS5. The fourth statistical data DS4 is statistical data related to dispensing pharmacy drug costs for a certain disease. The fourth statistical data DS4 includes, for example, statistical data related to trends in drug costs published by the Ministry of Health, Labor and Welfare of Japan. The statistical data related to trends in drug costs published by the Ministry of Health, Labor and Welfare of Japan includes, for example, statistical data described in "Trends in Drug Costs for Antiallergic Drugs (Statistical Table) (April 2019)". The fifth statistical data DS5 is statistical data related to over-the-counter drug costs for a certain disease. The fifth statistical data DS5 includes, for example, statistical data described in "Over-the-counter Drug Data Book" published by Fuji Keizai Co., Ltd. The statistical data acquisition unit 13 may acquire the fourth statistical data DS4 and the fifth statistical data DS5 of a country other than Japan.

[0087] The evaluation unit 14 calculates a third evaluation parameter P3 related to an estimated pharmacy drug cost for a certain disease incurred by a resident of a certain age group for at least one residence of thermal insulation performance class G based on the first statistical data DS1, the fourth statistical data DS4, and the first evaluation parameter P1. In this embodiment, the third evaluation parameter P3 is an estimated pharmacy drug cost incurred by a resident of a certain age group for a certain disease during a certain period. The certain period can be set arbitrarily. For example, if the certain period is set to 10 years, the third evaluation parameter P3 can be calculated as an estimated pharmacy drug cost incurred by a resident of a certain age group for a certain disease over the next 10 years.

[0088] Among the third evaluation parameters P3, the third evaluation parameter P3 related to the estimated value of the dispensing pharmacy drug cost for a certain disease x inflicted on a resident of a certain age group y living in a house having certain temperature information T is defined as P3 x,T,y The third evaluation parameter P3 x,T,yTo calculate, the evaluation unit 14 obtains a total dispensing pharmacy drug cost for a certain disease based on the fourth statistical data DS4 related to the dispensing pharmacy drug cost for a certain disease. The total dispensing pharmacy drug cost is the total value obtained by adding up the dispensing pharmacy drug costs for a certain disease for all age groups in the country from which the fourth statistical data DS4 was obtained. As in the first embodiment, the evaluation unit 14 obtains the total number of patients who visit a medical institution among patients suffering from a certain disease based on the first statistical data DS1. The evaluation unit 14 calculates the total dispensing pharmacy drug cost as m' x Let the total number of patients be n x Then, the third evaluation parameter P3 for the estimated pharmacy drug cost for a certain disease x for a resident of a certain age group y living in a house with certain temperature information T is x,T,y is calculated using the following formula (7).

[0089]

number

[0090] The value of the dispensing pharmacy drug cost self-payment rate S' is, for example, the same as the value of the medical cost self-payment rate S in formula (6) of the first embodiment. The value of the dispensing pharmacy drug cost self-payment rate S' may be different from the value of the medical cost self-payment rate S. x,y and B. x,y is A in Eq. (6). x,y and B. x,y is the same coefficient as

[0091] As shown in equation (7), the third evaluation parameter P3 x,T,y is the first evaluation parameter P1 expressed by the formula (5) of the first embodiment. x,T,y Total pharmacy drug costs m' x The total number of patients examined is n x The first evaluation parameter P1 is the value obtained by dividing the cost of the pharmacy drug per patient by the self-payment ratio S'. x,T,ycorresponds to an estimate of the proportion of patients with disease x among residents of age y living in a residence with temperature information T, so the first evaluation parameter P1 x,T,y By multiplying the calculated parameter by the self-payment ratio S', a parameter corresponding to the estimated value of the dispensing pharmacy drug cost can be calculated. The third evaluation parameter P3 is calculated as an estimate of the dispensing pharmacy drug cost actually paid by the resident. x,T,y can be calculated.

[0092] In this embodiment, the evaluation unit 14 obtains, for each residence with insulation performance class G, an awareness ratio RA, which is the ratio of residents of a certain age group living in a residence with insulation performance class G who are aware of symptoms of a certain disease. The awareness ratio RA can be obtained by a questionnaire survey that asks multiple residents living in each residence with insulation performance class G whether they are aware of symptoms of a certain disease. The questionnaire survey can be conducted in a similar manner to the questionnaire survey described in the first embodiment. In this embodiment, the evaluation unit 14 obtains the awareness ratio R for each disease and for each age group of residents for a residence with a first insulation performance class α and multiple residences with a second insulation performance class β. a In this embodiment, the first insulation performance class α is a insulation performance class G that combines 1 and 2, as in the first embodiment. In this embodiment, the multiple second insulation performance classes β are each a insulation performance class G of 3 to 5, as in the first embodiment.

[0093] The evaluation unit 14 may acquire the awareness ratio RA in any manner. For example, the evaluation unit 14 can acquire the awareness ratio RA for each insulation performance class G by referring to a database provided in the evaluation device 200 or a database provided outside the evaluation device 200. In this case, each database may store only the survey results of the above-mentioned questionnaire survey, or may store the value of the awareness ratio RA itself for each insulation performance class G. When only the survey results of the above-mentioned questionnaire survey are stored in the database, the evaluation unit 14 calculates the awareness ratio RA from the information stored in the database.

[0094] In this embodiment, the evaluation unit 14 acquires a fourth evaluation parameter P4 related to the proportion of residents who have subjective symptoms of a certain disease but do not visit a medical institution for at least one insulation performance class G, based on the awareness proportion RA and the first evaluation parameter P1. In this embodiment, the evaluation unit 14 acquires the fourth evaluation parameter P4 for each residence of each insulation performance class G. For each residence of each insulation performance class G, the evaluation unit 14 acquires the fourth evaluation parameter P4 related to the proportion of residents who have subjective symptoms of a certain disease x, based on the awareness proportion RA x,G,y First evaluation parameter P1 x,G,y The value obtained by subtracting x,G,y The ratio of awareness is calculated as follows: RA x,G,y and the first evaluation parameter P1 x,G,y and the fourth evaluation parameter P4 x,G,y What is P4? x,G,y =RA x,G,y -P1 x,G,y The fourth evaluation parameter P4 x,G,y corresponds to an estimate of the proportion of residents of a certain age group y living in a certain insulation performance class G who have subjective symptoms of a certain disease x but do not visit a medical institution. Specifically, for example, the proportion of residents of a certain age group y living in a first insulation performance class α who are aware of a certain disease x, RA x,α,y is 0.1, and the first evaluation parameter P1 for a certain disease x of a certain age y resident living in the first insulation performance class α x,α,y is 0.02, the fourth evaluation parameter P4 x,α,y is 0.1-0.02=0.08.

[0095] As shown in FIG. 6, in this embodiment, the evaluation unit 14 acquires a fourth evaluation parameter curve CP4 as a relationship between the temperature information T and the awareness ratio RA based on each piece of temperature information T and each fourth evaluation parameter P4. In the graph of FIG. 6, the horizontal axis is the temperature information T, and the vertical axis is the ratio R of patients suffering from a certain disease. The ratio R includes the awareness ratio RA, the first evaluation parameter P1, and the fourth evaluation parameter P4. In the example of FIG. 6, when the insulation performance grade G is 1 to 5, the first insulation performance grade α is set to 1 and 2, and the second insulation performance grade β is set to 3, 4, and 5. In the example of FIG. 6, the temperature information T in a residence with insulation performance grade G of 1 and 2 is a temperature Ta. In the example of FIG. 6, the temperature information T in a residence with insulation performance grade G of 3 is a temperature Tb higher than the temperature Ta. In the example of FIG. 6, the temperature information T in a residence with insulation performance grade G of 4 is a temperature Tc higher than the temperature Tb. In the example of Fig. 6, the temperature information T in a residence with a thermal insulation performance grade G of 5 is a temperature Td higher than the temperature Tc. In Fig. 6, the awareness ratio RA, the first evaluation parameter P1, and the fourth evaluation parameter P4 are plotted for each thermal insulation performance grade G.

[0096] The fourth evaluation parameter curve CP4 is an approximation curve found from plots of temperature information T and the fourth evaluation parameter P4 related to a certain disease in a certain age group for each insulation performance class G. The fourth evaluation parameter curve CP4 is a curve showing the change in the fourth evaluation parameter P4 with respect to the temperature information T. The equation expressing the fourth evaluation parameter curve CP4 is an equation expressing the fourth evaluation parameter P4 for a residence having temperature information T. When a certain disease type is x, a certain age group is y, and temperature information is T, the fourth evaluation parameter P4 for a residence having the temperature information T is expressed as P4 x,T,y Then, the relationship between the temperature information T and the fourth evaluation parameter P4 is expressed by the following formula (8).

[0097]

number

[0098] The evaluation unit 14 may obtain the awareness ratio curve CRA shown in Fig. 6, and obtain the fourth evaluation parameter curve CP4 based on the awareness ratio curve CRA and the first evaluation parameter curve CP1. The awareness ratio curve CRA is an approximation curve found from plots of temperature information T and awareness ratios RA for a certain disease in a certain age group for each insulation performance class G. The awareness ratio curve CRA is a curve showing changes in the awareness ratio RA with respect to the temperature information T. The equation expressing the awareness ratio curve CRA is an equation expressing the awareness ratio RA for a residence having temperature information T. Let x be a type of a certain disease, y be a certain age group, and T be the temperature information, and let RA be the awareness ratio RA for a residence having the temperature information T. x,T,y Then, the temperature information T and the awareness ratio RA x,T,y The relationship between is expressed by the following equation (9).

[0099]

number

[0100] In the example of Figure 6, it can be seen that the higher the insulation performance grade G of the house, the higher the temperature information T related to the temperature inside the house and the lower the respective rates R. This indicates that the higher the insulation of the house, the lower the rate at which residents are likely to suffer from a certain disease. Depending on the type of disease, the relationship between insulation and the rate at which the disease occurs may not be as shown in Figure 6.

[0101] The evaluation unit 14 obtains the fourth evaluation parameter curve CP4, i.e., equation (8), for each age group and disease. The temperature information T used to obtain the fourth evaluation parameter curve CP4 differs depending on the type of disease, similar to the temperature information T used to obtain the first evaluation parameter curve CP1. By inputting any temperature information T into equation (8), the fourth evaluation parameter P4 for a residence having any temperature information T can be obtained. x,T,y , that is, it is possible to obtain an estimate of the proportion of untreated patients with a certain disease among residents of a certain age who live in a dwelling with any temperature information T.

[0102] The evaluation unit 14 calculates a fifth evaluation parameter P5 related to an estimated value of over-the-counter drug costs for a certain disease incurred by a resident of a certain age group for at least one residence of thermal insulation performance class G based on the fifth statistical data DS5 and the fourth evaluation parameter P4. In this embodiment, the fifth evaluation parameter P5 is an estimated value of over-the-counter drug costs incurred by a resident of a certain age group for a certain disease during a certain period. The certain period can be set arbitrarily. For example, if the certain period is set to 10 years, the fifth evaluation parameter P5 can be calculated as an estimated value of over-the-counter drug costs incurred by a resident of a certain age group for a certain disease over the next 10 years.

[0103] The fifth evaluation parameter P5 is related to an estimated over-the-counter drug cost for a certain disease x in a resident of a certain age group y living in a house having certain temperature information T. x,T,y The fifth evaluation parameter P5 x,T,yIn order to calculate, the evaluation unit 14 obtains the total over-the-counter drug cost for a certain disease based on the fifth statistical data DS5 related to the over-the-counter drug cost for a certain disease, and obtains the total number of patients who do not visit a medical institution among patients suffering from a certain disease based on the fourth evaluation parameter P4. The total over-the-counter drug cost is the total value obtained by adding up the over-the-counter drug costs of all ages for a certain disease in the country from which the fifth statistical data DS5 was obtained. In this embodiment, the over-the-counter drug cost is an amount that includes only the drug fee and does not include the dispensing technical fee and the pharmaceutical management fee. The amount that a consumer pays to a vendor when purchasing an over-the-counter drug includes the drug fee, the dispensing technical fee, and the pharmaceutical management fee. The over-the-counter drug cost calculated in this embodiment may be an amount that includes either the dispensing technical fee or the pharmaceutical management fee, or may be an amount that includes both the dispensing technical fee and the pharmaceutical management fee. The total number of untreated patients is the sum of the number of untreated patients of all ages who suffer from a certain disease in the country from which the statistical data used to obtain the fourth evaluation parameter P4 was obtained. The evaluation unit 14 calculates the total over-the-counter drug cost as m´´ x Let the total number of untreated patients be n´´ x Then, the fifth evaluation parameter P5 for the estimated over-the-counter drug cost for a certain disease x for a certain age group y living in a house with certain temperature information T is x,T,y is calculated using the following formula (10).

[0104]

number

[0105] As shown in equation (10), the fifth evaluation parameter P5 x,T,y is the fourth evaluation parameter P4 expressed by equation (8). x,T,y In contrast, total over-the-counter drug costs m´´ x The total number of untreated patients is n´´ xThis is the value obtained by dividing by (1-F), i.e., multiplying by the over-the-counter drug cost per non-patient. x,T,y Since this corresponds to an estimate of the proportion of people of age y living in a residence with temperature information T who suffer from disease x and do not visit a medical institution, the fourth evaluation parameter P4 x,T,y By multiplying this by , a parameter equivalent to the estimated over-the-counter drug cost can be calculated.

[0106] The evaluation method using the evaluation device 200 of this embodiment will be described in the case where the evaluation target is a residence D2. In this embodiment, the calculation unit 10 executes the evaluation method of this embodiment by executing processing according to the flowchart shown in FIG. 7, for example. Step S21 shown in FIG. 7 is similar to step S11 in the first embodiment. Step S22 is similar to step S12 in the first embodiment. Step S23 is similar to step S13 in the first embodiment.

[0107] The calculation unit 10 acquires various statistical data in the statistical data acquisition unit 13 (step S24). In step S24 of this embodiment, the statistical data acquisition unit 13 acquires the first statistical data DS1, the second statistical data DS2, the third statistical data DS3, the fourth statistical data DS4, and the fifth statistical data DS5. The order in which steps S22, S23, and S24 are performed is not particularly limited. Steps S22, S23, and S24 may be performed simultaneously.

[0108] The calculation unit 10 calculates the first evaluation parameter P1 to the fifth evaluation parameter P5 in the evaluation unit 14, and evaluates the evaluation target (step S25). The calculation unit 10 outputs these calculation results to the output unit 30 (step S26). As in the first embodiment, the user can obtain an evaluation of a certain disease of the residence D2, which is the evaluation target, via the display unit 60 on which the evaluation result output from the output unit 30 is displayed. As in the first embodiment, the display unit 60 is, for example, a screen of a smart device SD. FIG. 8 shows a screen of the smart device SD on which a result display portion 246 that displays the evaluation result obtained by the evaluation method of this embodiment is displayed. The screen of the smart device SD shown in FIG. 8 is the same as the screen of the smart device SD shown in FIG. 5, except that the result display portion 246 is different and the disease displayed in the first display portion 41 is allergic rhinitis.

[0109] In this embodiment, the first evaluation parameter P1, the second evaluation parameter P2, the third evaluation parameter P3, the fourth evaluation parameter P4, the fifth evaluation parameter P5, the total medical and pharmaceutical costs, and the evaluation result are displayed in the result display section 246. In the example of Fig. 8, the first evaluation parameter P1 is displayed by age group as the incidence rate [%] of patients who have been treated for the disease displayed in the first display section 41. In the example of Fig. 8, the fourth evaluation parameter P4 is displayed by age group as the incidence rate [%] of patients who have not been treated for the disease displayed in the first display section 41.

[0110] In the example of FIG. 8, the second evaluation parameter P2 is displayed as the medical expenses [yen / year·person] for the disease displayed in the first display portion 41. In the example of FIG. 8, the third evaluation parameter P3 is displayed as the dispensing pharmacy drug expenses [yen / year·person] for the disease displayed in the first display portion 41. In the example of FIG. 8, the fifth evaluation parameter P5 is displayed as the over-the-counter drug expenses [yen / year·person] for the disease displayed in the first display portion 41. The total medical and pharmaceutical expenses [yen / year·person] shown in the result display portion 246 is the total value of the medical expenses as the second evaluation parameter P2, the dispensing pharmacy drug expenses as the third evaluation parameter P3, and the over-the-counter drug expenses as the fifth evaluation parameter P5. The other items in the result display portion 246 are the same as the other items in the result display portion 46 in the first embodiment. The result display portion 246 may display the awareness ratio RA obtained by adding up the first evaluation parameter P1 and the fourth evaluation parameter P4. Other aspects of the evaluation method using the evaluation device 200 are similar to other aspects of the evaluation method using the evaluation device 100 in the first embodiment.

[0111] The evaluation method using the evaluation device 200 includes acquiring fourth statistical data DS4 related to a pharmacy drug cost for a certain disease, and calculating a third evaluation parameter P3 related to an estimated value of a pharmacy drug cost for a certain disease for residents of a certain age group, based on the first statistical data DS1, the fourth statistical data DS4, and the first evaluation parameter P1, for at least one residence with thermal insulation performance class G. By calculating the third evaluation parameter P3, the evaluation device 200 can accurately evaluate matters related to the residence not only from the viewpoint of medical expenses but also from the viewpoint of the pharmacy drug cost.

[0112] The evaluation method using the evaluation device 200 includes obtaining a total dispensing pharmacy drug cost for a certain disease based on the fourth statistical data DS4 related to the dispensing pharmacy drug cost for the certain disease, obtaining a total number of patients who visit a medical institution among patients suffering from the certain disease based on the first statistical data DS1, and calculating the total dispensing pharmacy drug cost as m' x Let the total number of patients be n xThen, the third evaluation parameter P3 for the estimated pharmacy drug cost for a certain disease x for a resident of a certain age group y living in a house with certain temperature information T is x,T,y The third evaluation parameter P3 is calculated from the above-mentioned formula (7). x,T,y By calculating the above, the evaluation device 200 can more accurately evaluate matters related to the residence not only from the perspective of medical expenses but also from the perspective of pharmacy drug expenses.

[0113] The evaluation method using the evaluation device 200 includes calculating a first evaluation parameter P1 for at least one residence with insulation performance class G as a parameter related to the proportion of patients who suffer from a certain disease and visit a medical institution, and calculating a value obtained by subtracting the first evaluation parameter P1 from the awareness ratio RA of residents of a certain age who have subjective symptoms of a certain disease for at least one residence with insulation performance class G as a fourth evaluation parameter P4 related to the proportion of patients who suffer from a certain disease and do not visit a medical institution. Since the first evaluation parameter P1 is a parameter related to the proportion of patients who have visited a certain disease in a certain age, the fourth evaluation parameter P4, which is the difference value obtained by subtracting the first evaluation parameter P1 from the awareness ratio RA, can be regarded as a parameter related to the proportion of patients who have not visited a certain disease in a certain age. Patients who have not visited a medical institution do not incur medical expenses and pharmacy drug expenses because they do not visit a medical institution, but they incur expenses for purchasing over-the-counter medicines available at drugstores and the like. By calculating the fourth evaluation parameter P4 related to the proportion of untreated patients, it is possible to accurately calculate an estimate of the over-the-counter drug costs that may be incurred when living in the target residence.

[0114] The evaluation method using the evaluation device 200 includes acquiring temperature information T on the temperature inside the residence for each residence of each insulation performance class G, acquiring a fourth evaluation parameter P4 for each residence of each insulation performance class G, and acquiring a relationship between the temperature information T and the fourth evaluation parameter P4 based on each temperature information T and each fourth evaluation parameter P4. By acquiring the relationship between the temperature information T and the fourth evaluation parameter P4, it is possible to acquire the fourth evaluation parameter P4 for a residence having any temperature information T including temperature information T other than the average temperature in a residence of each insulation performance class G. By being able to acquire the fourth evaluation parameter P4 for a residence having any temperature information T, it is possible to accurately calculate an estimate of the over-the-counter drug cost for a certain disease for a certain age group resident living in a residence having any temperature information T.

[0115] In the evaluation method using the evaluation device 200, a type of a certain disease is x, a certain age is y, and temperature information is T. The fourth evaluation parameter for a residence having the temperature information T is P4. x,T,y When the temperature information T is set, the relationship between the temperature information T and the fourth evaluation parameter P4 is expressed by the above-mentioned formula (8). By substituting the temperature information T into formula (8), the evaluation device 200 obtains the fourth evaluation parameter P4 for the residence having the temperature information T. x,T,y can be easily calculated.

[0116] The evaluation method using the evaluation device 200 includes acquiring fifth statistical data DS5 related to over-the-counter drug costs for a certain disease, and calculating a fifth evaluation parameter P5 related to an estimated over-the-counter drug cost for a certain disease incurred by residents of a certain age group, based on the fifth statistical data DS5 and the fourth evaluation parameter P4, for at least one residence with thermal insulation performance class G. By calculating the fifth evaluation parameter P5, the evaluation device 200 can accurately evaluate matters related to the residence not only from the perspective of medical expenses but also from the perspective of over-the-counter drug costs.

[0117] The evaluation method using the evaluation device 200 includes obtaining a total over-the-counter drug cost for a certain disease based on the fifth statistical data DS5 related to over-the-counter drug costs for the certain disease, obtaining a total number of patients who have not visited a medical institution among patients suffering from the certain disease based on the fourth evaluation parameter P4, and calculating the total over-the-counter drug cost as m' x Let the total number of untreated patients be n´´ x Then, the fifth evaluation parameter P5 for the estimated over-the-counter drug cost for a certain disease x for a certain age group y living in a house with certain temperature information T is x,T,y The fifth evaluation parameter P5 is calculated from the above-mentioned formula (10). x,T,y By calculating this, the evaluation device 200 can more accurately evaluate items related to the residence not only from the perspective of medical expenses but also from the perspective of over-the-counter drug expenses.

[0118] The output unit 30 in the evaluation device 200 is capable of outputting the third evaluation parameter P3. The user can easily obtain the third evaluation parameter P3 by viewing the result output from the output unit 30, for example, via the display unit 60. By obtaining the third evaluation parameter P3, the user can know an estimated value of the dispensing pharmacy drug cost for a certain disease if the user lives in the target residence.

[0119] The output unit 30 in the evaluation device 200 can display the fifth evaluation parameter P5. A user can easily obtain the fifth evaluation parameter P5 by viewing the result output from the output unit 30, for example, via the display unit 60. By obtaining the fifth evaluation parameter P5, a user can know an estimated value of the over-the-counter drug cost for a certain disease if the user lives in the target residence.

[0120] The output section 30 in the evaluation device 200 is capable of displaying the fourth evaluation parameter P4. The user can easily obtain the fourth evaluation parameter P4 by viewing the result output from the output section 30, for example, via the display section 60. By obtaining the fourth evaluation parameter P4 together with the first evaluation parameter P1, the user can know with greater accuracy the probability of contracting a certain disease if living in the target residence.

[0121] <Evaluation System Embodiment> In the following description, the same components as those in the above-described embodiment may be appropriately denoted by the same reference numerals, and the description may be omitted. The evaluation system 1000 of this embodiment shown in Fig. 9 and Fig. 10 is a system capable of executing the evaluation method of the first embodiment or the evaluation method of the second embodiment. The evaluation system 1000 includes an evaluation device 300 and a user terminal 380.

[0122] The user terminal 380 is a terminal capable of communicating with the evaluation device 300 capable of executing an evaluation method for evaluating matters related to a residence. The user terminal 380 is capable of communicating with the evaluation device 300 via a communication network NW such as an IP (Internet Protocol) network. In this embodiment, the user terminal 380 is a personal computer. The user terminal 380 may be any terminal capable of communicating with the evaluation device 300. The user terminal 380 may be, for example, a tablet terminal or a smart device such as a smartphone.

[0123] The user terminal 380 has a computer main body 380a, an input unit 350, and a display unit 360. As shown in FIG. 10, the computer main body 380a has a second communication unit 381 and a second control unit 382. The second communication unit 381 can communicate with the first communication unit 301 of the evaluation device 300 via the communication network NW. The second control unit 382 controls various operations of the user terminal 380. The second control unit 382 is a processor such as a CPU. The input unit 383 is a part where a user can input information to the user terminal 380 by performing an operation. The input unit 350 is a part for inputting information to be accepted by the acceptance unit 20 of the evaluation device 300. The display unit 360 is a part where various information can be displayed. The display unit 360 is a part that displays information output from the output unit 30 of the evaluation device 300. As shown in FIG. 9, in this embodiment, the input unit 350 is a mouse and a keyboard connected to the computer main body 380a. In this embodiment, the display unit 360 is a screen of a display connected to the computer main body 380a. For example, when the user terminal 380 is a smart device, the input unit 350 and the display unit 360 are the screen of the smart device. In this case, the display unit 360 of the user terminal 380 displays a screen similar to the screen of the smart device SD shown in FIG. 5 or FIG. 8.

[0124] In this embodiment, the evaluation device 300 is a server device capable of communicating with the user terminal 380. The evaluation device 300 is installed, for example, in a location different from a location where a user who uses the user terminal 380 is present. The user operates the user terminal 380 to start an evaluation program stored in the evaluation device 300, which is a server device. The screen of the evaluation program is displayed on a browser started on the display unit 360 of the user terminal 380.

[0125] As shown in FIG. 10, the evaluation device 300 has a first communication unit 301 and a first control unit 370. The first communication unit 301 can wirelessly communicate with a second communication unit 381 of a user terminal 380 via a communication network NW. The first communication unit 301 transmits data output from the first control unit 370 to the second communication unit 381. The first communication unit 301 receives data sent from the second communication unit 381. The data received by the first communication unit 301 is input to the first control unit 370. The first control unit 370 is similar to the control unit 70 of the first or second embodiment, except that input and output of data to and from the first control unit 370 is performed between the first control unit 370 and the user terminal 380 via the first communication unit 301. An evaluation program for executing the evaluation method of the first or second embodiment is installed in the first control unit 370. A user can easily use the evaluation device 300 by communicating with the evaluation device 300 via the user terminal 380.

[0126] The evaluation device 300 can accurately output an evaluation of matters related to the residence from the viewpoint of medical expenses by executing the evaluation method of the first embodiment or the evaluation method of the second embodiment described above. The user terminal 380 has a display unit 360 that displays information output from the evaluation device 300, and is therefore a terminal that fulfills the function required for the user to easily obtain an evaluation of matters related to the residence from the viewpoint of medical expenses that is accurately calculated. The evaluation system 1000 is a system that can be used via the user terminal 380, and the effect of easily allowing the user to obtain an evaluation of matters related to the residence from the viewpoint of medical expenses that is accurately calculated is an effect that is realized via the user terminal 380.

[0127] Although the embodiments of the present disclosure have been described above, the present disclosure is not limited to the configurations of the above-described embodiments, and the following configurations and methods may also be adopted.

[0128] The evaluation target of the evaluation method, evaluation device, and evaluation system according to the present disclosure is not particularly limited as long as it is a matter related to a residence. The matter related to a residence may be the residence itself, a part of the residence such as one room of the residence, a part of the components constituting the residence such as a window and a wall, or the contents of the remodeling when remodeling the residence.

[0129] The improvement rate may be the rate at which subjective symptoms of a certain disease improve when a resident who lived in a residence with a certain insulation performance class moves to a residence with a lower insulation performance class. In this case, if the number of residents with subjective symptoms of a certain disease increases by living in a residence with the other insulation performance class, the improvement rate is a negative value. The first insulation performance class used as the reference is not particularly limited, and may be an insulation performance class other than 1 and 2. If the first insulation performance class is not the lowest insulation performance class, the improvement rates for residences with multiple second insulation performance classes may include improvement rates with negative values.

[0130] When the improvement rate is obtained for each of the residences of the second insulation performance classes other than the first insulation performance class, each improvement rate for the residences of the second insulation performance classes may include two or more improvement rates for the residences of different insulation performance classes. For example, in the above-mentioned embodiment, the improvement rate C for the residence of insulation performance class 3 may be the improvement rate C for the residences of insulation performance classes 1 and 2, and the improvement rate C for the residence of insulation performance class 4 may be the improvement rate C for the residence of insulation performance class 3. In this case, the proportion of residents living in the residence of insulation performance class 3 who suffer from a certain disease can be expressed as a formula of the proportion of residents living in the residences of insulation performance classes 1 and 2 who suffer from a certain disease using the improvement rate C for insulation performance class 3. The proportion of residents living in the residence of insulation performance class 4 who suffer from a certain disease can be expressed as a formula of the proportion of residents living in the residence of insulation performance class 3 who suffer from a certain disease using the improvement rate C for insulation performance class 4. By substituting the proportion in insulation performance grade 3 expressed by the formula for the proportion in insulation performance grade 1 and 2 for the proportion in insulation performance grade 4 expressed by the formula for the proportion in insulation performance grade 3, the proportion in insulation performance grade 4 can be expressed as a formula for the proportion in insulation performance grades 1 and 2. By being able to express the proportion in insulation performance grades 3 and 4 as a formula for the proportion in insulation performance grades 1 and 2, the proportion in each insulation performance grade, i.e., the first evaluation parameter, can be calculated in the same manner as in the above-mentioned embodiment.

[0131] The first evaluation parameter may be calculated for at least one residence of the same insulation performance class. The first evaluation parameter may be calculated in any manner as long as it is calculated based on the first statistical data, the second statistical data, and the improvement rate. The second evaluation parameter may be calculated in any manner as long as it is calculated based on the first statistical data, the third statistical data, and the first evaluation parameter. The second evaluation parameter may not be calculated. The third evaluation parameter may be calculated in any manner as long as it is calculated based on the first statistical data, the fourth statistical data, and the first evaluation parameter. The third evaluation parameter may not be calculated. The fourth evaluation parameter may not be calculated. The fifth evaluation parameter may be calculated in any manner as long as it is calculated based on the fifth statistical data and the fourth evaluation parameter. The fifth evaluation parameter may not be calculated.

[0132] The evaluation device may be constructed in any manner so long as it includes a calculation unit and an output unit. The evaluation system may be constructed in any manner so long as it includes an evaluation device and a user terminal that is a server device. The evaluation device may include a processor mounted on a computer such as a laptop computer or a desktop computer as the calculation unit. In this case, for example, a keyboard and a mouse connected to the computer correspond to the input unit, and a screen of a display connected to the computer corresponds to the display unit. As in the first and second embodiments described above, when the evaluation device is constructed by a smart device such as a smartphone, for example, the screen of the smart device corresponds to the input unit and the display unit. The smart device may perform calculations in the calculation unit after acquiring various information, and output the calculation results to the screen that is the display unit.

[0133] The various information used by the calculation unit for calculation may be input to the calculation unit by a user via the input unit, or may be automatically acquired by the calculation unit via the Internet, etc. When the evaluation device is constructed with a smart device such as a smartphone, the various information may be transmitted to the smart device by wireless communication via the Internet, etc.

[0134] The calculation result of the calculation unit output by the output unit is not particularly limited as long as it is a result of the calculation unit executing the evaluation method. In the above-mentioned first embodiment, the output unit may not output any one or more of the first evaluation parameter, the second evaluation parameter, and the evaluation result of the evaluation target. In the above-mentioned first embodiment, the output unit may output a calculation result other than the first evaluation parameter, the second evaluation parameter, and the evaluation result of the evaluation target. In the above-mentioned second embodiment, the output unit may not output any one or more of the first evaluation parameter, the second evaluation parameter, the third evaluation parameter, the fourth evaluation parameter, the fifth evaluation parameter, the total medical and pharmaceutical expenses, and the evaluation result of the evaluation target. In the above-mentioned second embodiment, the output unit may output a calculation result other than the first evaluation parameter, the second evaluation parameter, the third evaluation parameter, the fourth evaluation parameter, the fifth evaluation parameter, the total medical and pharmaceutical expenses, and the evaluation result of the evaluation target. The output unit may output the calculation result of the calculation unit by, for example, voice or the like.

[0135] The configurations and methods described in this specification can be combined as appropriate within the scope of not being mutually inconsistent. [Explanation of symbols]

[0136] 10 Calculation unit, 20 Input unit, 30 Output unit, 100 Evaluation system, C,C x,β Improvement rate, D1, D2 Residence, DS1 1st statistical data, DS2 2nd statistical data, DS3 3rd statistical data, DS4 4th statistical data, DS5 5th statistical data, G Insulation performance grade, m x Total medical expenses, m´ x Total pharmacy drug costs, m´´ x Total over-the-counter drug costs, n x Total number of patients seen, n x,y Number of patients seen, n´´ x Total number of untreated patients, P1,P1 x,T,y ,P1 x,α,y ,P1 x,β,y First evaluation parameter, P2,P2 x,T,y Second evaluation parameter, P3,P3 x,T,yThird evaluation parameter, P4,P4 x,T,y Fourth evaluation parameter, P5,P5 x,T,y The fifth evaluation parameter, p G,y ,p α,y ,p β,y Estimated number of people, S self-paid medical expenses, S´ self-paid pharmacy drug expenses, T temperature information, x disease, y age group, α first insulation performance class, β second insulation performance class

Claims

1. An evaluation method for evaluating matters related to housing, comprising the steps of: The improvement rate is the percentage of subjective symptoms of a certain disease that improve when a resident who lives in a house with a certain insulation performance class lives in a house with a different insulation performance class from the certain insulation performance class, The improvement rate is obtained for each of a plurality of residences having a second insulation performance class other than the first insulation performance class used as a reference; obtaining first statistical data regarding the number of patients suffering from the certain disease; Obtain second statistical data on the relationship between the insulation performance grade of a residence and the age of the occupants, An evaluation method for calculating a first evaluation parameter related to the proportion of residents of a certain age group who suffer from a certain disease for a residence of at least one insulation performance class based on the first statistical data, the second statistical data, and the improvement rate.

2. Calculating an estimated number of residents of the certain age group living in a residence having each insulation performance class based on the second statistical data; The type of the certain disease is x, the first insulation equivalent performance class is α, the second insulation equivalent performance class is β, and the certain age group is y. Among the first evaluation parameters, a first evaluation parameter P1 for a house having the first insulation equivalent performance class is ｘ,α,ｙ The evaluation method according to claim 1, wherein the value is calculated from the following formula: [0010] Here, n ｘ,ｙ is the number of patients of the certain age group who are afflicted with the certain disease and visit a medical institution, and p α,ｙ is the estimated number of residents of the certain age group living in the dwelling having the first insulation performance rating, and p β,ｙ is the estimated number of residents of the certain age group living in the dwelling having the second insulation performance rating, and C ｘ,β is the rate of improvement of the certain disease in a dwelling having the second insulation equivalence performance class relative to a dwelling having the first insulation equivalence performance class.

3. Among the first evaluation parameters, a first evaluation parameter P1 for a residence having the second insulation performance class ｘ,β,ｙ The evaluation method according to claim 2, wherein the value is calculated from the following formula: [0025]

4. Obtain temperature information regarding the temperature inside the residence for each insulation performance class, The first evaluation parameters are obtained for each of the residences having the same thermal insulation performance class; The evaluation method according to claim 1 , further comprising the step of acquiring a relationship between the temperature information and the first evaluation parameter based on each piece of the temperature information and each piece of the first evaluation parameter.

5. The type of the certain disease is x, the certain age group is y, and the temperature information is T. The first evaluation parameter for the residence having the temperature information is P1 ｘ,Ｔ,ｙ 5. The evaluation method according to claim 4, wherein, when the temperature information and the first evaluation parameter are expressed by the following formula: [0030] However, A ｘ，ｙ and B ｘ，ｙ is a coefficient.

6. obtaining a total medical cost for the certain disease based on the third statistical data on the medical cost for the certain disease; Obtaining a total number of patients who visit a medical institution among the patients suffering from the certain disease based on the first statistical data; The total medical expenses are m ｘ Let the total number of patients be n ｘ Then, the second evaluation parameter P2 relating to the estimated medical cost for the disease inflicted on the resident of the certain age group living in the residence having the certain temperature information is ｘ,Ｔ,ｙ The evaluation method according to claim 5, wherein the value is calculated from the following formula: [0045] Here, S is the self-paid medical expenses rate for residents of the aforementioned certain age group.

7. obtaining third statistical data on medical costs incurred for the certain disease; The evaluation method of claim 1, further comprising: calculating, for at least one of the residences having the same insulation performance class, a second evaluation parameter related to an estimated medical cost for the disease suffered by residents of the certain age group based on the first statistical data, the third statistical data, and the first evaluation parameter.

8. obtaining a total dispensing pharmacy drug cost for the certain disease based on the fourth statistical data on the dispensing pharmacy drug cost for the certain disease; Obtaining a total number of patients who visit a medical institution among the patients suffering from the certain disease based on the first statistical data; The total pharmacy drug cost is m' ｘ Let the total number of patients be n ｘ When the temperature information is set as 1, the third evaluation parameter P3 is related to the estimated value of the dispensing pharmacy drug cost for the certain disease of the resident of the certain age group living in the residence having the certain temperature information. ｘ,Ｔ,ｙ The evaluation method according to claim 5, wherein the value is calculated from the following formula: [0050] Here, S' is the self-pay rate for pharmacy drug costs for residents of the above-mentioned certain age group.

9. Obtaining fourth statistical data on pharmacy drug costs for the certain disease; The evaluation method of claim 1, further comprising: calculating, for at least one of the residences having the same insulation performance class, a third evaluation parameter related to an estimated pharmacy drug cost for the certain disease suffered by residents of the certain age group based on the first statistical data, the fourth statistical data, and the first evaluation parameter.

10. For dwellings with at least one insulation performance rating: Calculating the first evaluation parameter as a parameter related to a ratio of patients who suffer from the certain disease and visit a medical institution; The evaluation method according to claim 1, wherein a fourth evaluation parameter relating to the proportion of patients who are suffering from the certain disease and do not visit a medical institution is calculated by subtracting the first evaluation parameter from the proportion of residents of the certain age group who have subjective symptoms of the certain disease.

11. Obtain temperature information regarding the temperature inside the residence for each insulation performance class, The fourth evaluation parameter is obtained for each dwelling having each insulation performance class; acquiring a relationship between the temperature information and the fourth evaluation parameter based on each piece of temperature information and each piece of fourth evaluation parameter; The type of the certain disease is x, the certain age is y, and the temperature information is T. The fourth evaluation parameter for the residence having the temperature information is P4 ｘ,Ｔ,ｙ 11. The evaluation method according to claim 10, wherein, when: the relationship between the temperature information and the fourth evaluation parameter is expressed by the following formula: [006] However, A' ｘ，ｙ and B' ｘ，ｙ is a coefficient.

12. Obtaining a total over-the-counter drug cost for the certain disease based on fifth statistical data on over-the-counter drug costs for the certain disease; Obtaining a total number of untreated patients who have not visited a medical institution among the patients suffering from the certain disease based on the fourth evaluation parameter; The total over-the-counter drug cost is m´´ ｘ Let the total number of untreated patients be n'. ｘ When the temperature information is set as above, a fifth evaluation parameter P5 is calculated based on the estimated over-the-counter drug cost for the disease of the resident of the certain age group who lives in the residence having the temperature information. ｘ,Ｔ,ｙ The evaluation method according to claim 11, wherein the value is calculated from the following formula: [0070] Here, F is the percentage of profit that a seller of over-the-counter drugs to consumers earns from selling over-the-counter drugs.

13. Obtaining fifth statistical data on over-the-counter drug costs for the certain disease; The evaluation method of claim 10, further comprising: calculating a fifth evaluation parameter related to an estimated over-the-counter drug cost for the certain disease incurred by residents of the certain age group based on the fifth statistical data and the fourth evaluation parameter for at least one residence of the insulation performance class.

14. A calculation unit capable of executing the evaluation method according to any one of claims 1 to 13; an output unit capable of outputting a calculation result of the calculation unit; An evaluation device comprising:

15. 15. The evaluation device according to claim 14, further comprising a receiving unit capable of receiving at least one of information related to the residence, information related to the age of the resident, and information related to the certain disease, and inputting the information to the calculation unit.

16. A calculation unit capable of executing the evaluation method according to claim 6 or 7; an output unit capable of outputting a calculation result of the calculation unit; Equipped with The evaluation device, wherein the output unit is capable of outputting the second evaluation parameter.

17. The evaluation device according to claim 14 , wherein the output section is capable of outputting the first evaluation parameter.

18. A calculation unit capable of executing the evaluation method according to claim 8 or 9; an output unit capable of outputting a calculation result of the calculation unit; Equipped with The evaluation device, wherein the output unit is capable of outputting the third evaluation parameter.

19. A calculation unit capable of executing the evaluation method according to claim 12 or 13; an output unit capable of outputting a calculation result of the calculation unit; Equipped with The evaluation device, wherein the output unit is capable of outputting the fifth evaluation parameter.

20. The evaluation device according to claim 19 , wherein the output section is capable of outputting the fourth evaluation parameter.

21. The evaluation device according to claim 14 ; A user terminal capable of communicating with the evaluation device; Preparation, the evaluation device is a server device capable of communicating with the user terminal, The user terminal has a display unit that displays the information output from the output unit.

22. A user terminal capable of communicating with an evaluation device capable of executing an evaluation method for evaluating matters related to a residence, A display unit is provided, The evaluation method includes: The improvement rate is the percentage of subjective symptoms of a certain disease that improve when a resident who lives in a house with a certain insulation performance class lives in a house with a different insulation performance class from the certain insulation performance class, The improvement rate is obtained for each of a plurality of residences having a second insulation performance class other than the first insulation performance class used as a reference; obtaining first statistical data regarding the number of patients suffering from the certain disease; Obtain second statistical data on the relationship between the insulation performance grade of a residence and the age of the occupants, an evaluation method for calculating a first evaluation parameter related to a rate at which residents of a certain age group suffer from the certain disease for a residence having at least one insulation performance class based on the first statistical data, the second statistical data, and the improvement rate; The display unit is a user terminal that displays information output from the evaluation device.

23. An evaluation program that causes a computer to execute the evaluation method according to any one of claims 1 to 13.

Images