Health management device and health management method

Abstract

The present invention aims to provide a health management device and a health management method that can accurately indicate the health status of a subject such as an employee. [Solution] In a health management device (100), a memory unit (101) stores multiple questionnaire items related to the health of employees and questionnaire response result information, which is the response results. A setting unit (102) treats the multiple questionnaire items as indicators and sets the correlations between the indicators. Setting the correlations means setting links to connect the indicators, and this setting is performed by an administrator. A calculation unit (103) calculates correlation values ​​between the indicators using the questionnaire response results. A display unit (104) then displays the multiple questionnaire items and the correlation values ​​between the multiple questionnaire items. In the present disclosure, the display unit (104) combines and displays the correlation values ​​in association with the links between the indicators in a health management strategy map.

Description

[Technical Field]

[0001] The present invention relates to a health management device and a health management method for managing the health of employees. [Background technology]

[0002] Patent document 1 describes a method of using a database that records the results of a manager's judgment of whether or not an employee's behavior changes according to the judgment items used to determine whether or not an employee's behavior changes, and tallying up the number of times each judgment item is met during an evaluation period. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2011-210018 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the technology described in Patent Document 1 only detects mental health problems and does not indicate the user's condition. Therefore, companies and organizations do not know what measures to offer to users to resolve their condition.

[0005] The present invention has been made in view of the above-mentioned problems, and aims to provide a health management device and a health management method that can accurately indicate the health status of a subject such as an employee. [Means for solving the problem]

[0006] The health management device of the present disclosure includes a storage unit that stores a plurality of questionnaire items related to the subject's health and the response results thereof, a setting unit that sets the correlation between a plurality of indices based on the plurality of questionnaire items, a calculation unit that calculates correlation values ​​between the plurality of indices using the response results, and a display unit that displays the plurality of indices and the correlation values ​​between the plurality of indices. a notification unit that issues a notification; wherein the display unit displays the correlation values ​​between the plurality of indexes in association with the relationships connecting the plurality of indexes; When the response results to the questionnaire items stored in the memory unit are updated, the calculation unit calculates and updates the correlation value between the multiple indicators in accordance with the response results, and if the updated correlation value does not satisfy a specified condition, the notification unit notifies that fact.

[0007] The health management method of the present disclosure also includes a health management device including a storage unit that stores a plurality of questionnaire items regarding the health of a subject and the responses thereto. A health management method carried out by a setting step of setting correlations between the indices based on the plurality of questionnaire items; a calculation step of calculating correlation values ​​between the plurality of indices using the answer results; and a display step of displaying the plurality of indices and the correlation values ​​between the plurality of indices. a notification step of issuing a notification; and displaying the correlation values ​​between the plurality of indexes in association with the relationships connecting the plurality of indexes in the display step; In the calculation step, when the response results to the questionnaire items stored in the memory unit are updated, the correlation value between the multiple indicators is calculated and updated according to the response results, and in the notification step, if the updated correlation value does not satisfy a specified condition, a notification to that effect is given.

[0008] This configuration makes it possible to formulate a logically consistent health and productivity management strategy (hypothesis) that utilizes on-site knowledge and continuously verify that strategy (hypothesis) using data, thereby enabling revisions to make the strategy more effective. In other words, by establishing the relationships between indicators as part of the health and productivity management strategy and calculating the correlation values ​​between those indicators, the strategy (hypothesis) can be objectively verified and its effectiveness improved. When the answer result information is updated, the correlation value can be updated and an examination can be carried out based on the updated correlation value. Furthermore, if the connection between the indicators changes as a result of the update, the administrator can be motivated to review the measures that lead to the indicators. [Effects of the Invention]

[0009] According to the present disclosure, by establishing the relationships between each indicator as a health management strategy and calculating the correlation values ​​between those indicators, the strategy (hypothesis) can be objectively verified and its effectiveness improved. When the response result information is updated, the manager can make an examination based on that information, and if it is determined that there has been a change in the connection between the indicators, the manager will be motivated to review the measures that lead to those indicators. [Brief explanation of the drawings]

[0010] [Figure 1] FIG. 1 is a schematic diagram of a health management strategy map generated by a health management device of the present disclosure. [Figure 2] Figure 2 is a detailed diagram showing each question item included in the major indicator M1, improvement of the work environment. [Figure 3] FIG. 3 is a diagram showing the index M2. [Figure 4] FIG. 4 is a diagram showing correlation values ​​between the indices (indices M11 to M17) in the major index M1. [Figure 5] FIG. 5 is a diagram showing the connection between the index M12 and the index M2. [Figure 6] FIG. 6 is a diagram showing the major index M3 and the major index M4. [Figure 7] FIG. 7 is a diagram showing major indices M5, M6, and M7. [Figure 8] FIG. 8 is a diagram showing the allocation of points to answers in a health questionnaire. [Figure 9] FIG. 9 is a diagram showing the indices M81 to M85 of the large index M8. [Figure 10] FIG. 10 is a diagram showing detailed indicators of the health-related final goal indicator M9. [Figure 11] FIG. 11 is a diagram showing the correlation value between the index M41 and the index M42. [Figure 12] FIG. 12 is a diagram showing correlation values ​​for major indices M5, M6, and M7. [Figure 13] FIG. 13 is a diagram showing correlation values ​​for the major index M9. [Figure 14] FIG. 14 is a block diagram showing the functional configuration of the health management apparatus 100. As shown in FIG. [Figure 15] FIG. 15 is a diagram showing a specific example of the questionnaire response result information. [Figure 16] FIG. 16 is a diagram showing an outline of the operation of the health management apparatus 100 that generates a health management strategy map. [Figure 17] FIG. 17 is a flowchart showing the processing when the index data is updated. DETAILED DESCRIPTION OF THE INVENTION

[0011] The present disclosure will be described with reference to the accompanying drawings. Whenever possible, the same parts are designated by the same reference numerals and redundant description will be omitted.

[0012] FIG. 1 is a schematic diagram of a health management strategy map generated by a health management device according to the present disclosure. This health management strategy map is a schematic diagram generated to manage employee health, and shows the connections between questionnaire items answered by employees at a workplace. By having employees at a workplace answer the questionnaire items, the health management device is able to understand the correlations between the questionnaire items. By understanding the correlations between the questionnaire items, the employee's manager can implement measures linked to the questionnaire items.

[0013] This health management strategy map is displayed on the display of the health management device, allowing the employee's manager to understand the relationships.

[0014] The figure shows major indicators M1 to M9, which are major classifications of questionnaire items, and measures S1 to S5. Hereinafter, in this disclosure, questionnaire items M1 to M9 will be referred to as major indicators, and each question contained therein, which will be described later, will be referred to as an indicator. Below, Figure 1 shows the major indicators and their contents. Major indicator M1: Items related to improving the work environment Major indicator M2: Items related to improving workplace health Major indicator M3: Items related to support for balancing work and family life Major indicator M4: Items related to support / satisfaction Major indicator M5: Items related to self-care practices Major indicator M6: Items related to improving lifestyle habits Major indicator M7: Item indicating whether vacation time is available Major Indicator M8: Items related to countermeasures for high-risk individuals Major Indicator M9: Target indicator Major Indicators M1 to M8 are transformation indicators. The transformation indicators are located in a predetermined area. Major Indicator M9 is a target indicator and is located in an area different from the transformation indicators.

[0015] Measures S1 to S5 indicate measures related to the major indicators. For example, Major Indicator M1 is an item related to the improvement of the workplace environment. Since this Major Indicator M1 is related to the stress check measure S1 and the measure S2 for management support, they are linked. The stress check measure S1 indicates the participation rate in seminars and workshops such as line care training, organizational communication skill training, and listening skill improvement training, the participation rate of the organizations targeted for individual result confirmation in the group analysis individual result confirmation meeting, the post-action response rate of the organizations participating in the individual result confirmation meeting, etc. By checking these trainings and their participation rates according to the state shown in Major Indicator M1, it is possible to conduct health management in that workplace. Each measure is linked to each major indicator (including indicators), and by implementing each measure, it is expected to improve the health of employees indicated by the major indicators and indicators.

[0016] Also, the connection between Major Indicators M1 to M9 is shown. For example, Major Indicator M1 and Major Indicator M2 are connected by a line, but Major Indicator M1 and Major Indicator M3 are not connected by a line. The management strategy map is created by operators such as employees' managers, and this connection is set according to the managers' rules of thumb. In the present disclosure, this connection is referred to as a link, and the appropriateness of the link is judged. In the following, unless otherwise specified, the indicators are based on the health questionnaire.

[0017] Figure 2 is a detailed diagram showing each question item included in the improvement of the workplace environment, which is Major Indicator M1. As shown in the figure, here, based on the stress check questionnaire, the following questions are shown. Indicator M11: The amount of work is appropriate Indicator M12: The work is controllable Indicator M13: Support from superiors Indicator M14: Support from colleagues Indicator M15: Skills are utilized Indicator M16: The work content is appropriate Indicator M17: Satisfied with work As shown in the figure, a link is set from index M11 to index M12. Links are set to index M12 from index M13 and index M14. Meanwhile, links are set from index M15 to index M16, and from index M16 to index M17. These links (arrows) indicate causal relationships and were set based on the administrator's empirical rules. Note that these links do not need to be represented by arrows, but by using arrows, it indicates that the source of the arrow has an effect on the destination of the arrow. For example, it indicates that index M13 has an effect on index M12, and index M14 has an effect on index M12.

[0018] FIG. 3 is a diagram showing major index M2. Major index M2 indicates that health risks due to stress in the workplace are being reduced. Major index M2 is linked to index M12, indicating that it is affected by index M12. Here, the overall health risk is calculated based on each index shown in major index M1.

[0019] 4 is a diagram showing correlation values ​​between the indices (indices M11 to M17) in the major index M1. These correlation values ​​can be calculated as follows.

number

[0020] In the figure, for example, the correlation value between index M11 and index M12 is calculated to be 0.44. This correlation value indicates how closely two indexes move together. Here, 0.44 can be determined to be a moderate correlation. On the other hand, the correlation value between index M16 and index M17 is 0.67. This can be determined to be a strong correlation.

[0021] If this correlation value is low, it can be determined that the connection between the indicators is inappropriate. Note that in the present disclosure, the correlation value between indicators that are not connected by a line is also calculated. If the correlation value is equal to or greater than a threshold, it indicates that there is a reasonable causal relationship, and since the indicators are not connected by a line, a notification such as an alert is issued.

[0022] FIG. 5 is a diagram showing the connection between index M12 and index M2. This diagram shows the connection between index M12 and index M2 in FIG. 1 in more detail. In the present disclosure, the correlation value between index M12 and index M2 is 0.65. This is calculated as follows. For example, it is found using the Pearson r formula: r = cov(x, y) / (sd(x) × sd(y)). Here, x is the value of index M12, and y is index M2 (total health risk). cov(x, y) = Σ (x_i - average value of x)(y_i - average value of y / (n-1)) sd(x) = √(Σ(x_i - mean value of x^2 / (n-1)), sd(y) = √(Σ(y_i - mean value of y^2 / (n-1)) In addition, in this disclosure, major index M2 does not represent a questionnaire item, but represents a comprehensive health risk obtained from the questionnaire items shown in major index M1. This comprehensive health risk is calculated from health risk A and health risk B shown below.

[0023] Health risk A is calculated from the quantitative burden of work and the degree of control over work. Below is an example of how it is calculated. Health risk A = 100 × exp (mean score of quantitative workload (index M11) - A) × α + (mean score of work control (index M12) - B) × β) Here, A and B are national averages, and α and β are coefficients. Health risk B is calculated based on the support of superiors and colleagues. Below is an example of the calculation. Health risk B = 100 × exp((supervisor support (index M13) mean score - C) × γ + (coworker support (index M14) mean score - D) × δ) Here, C and D are national averages, and γ and δ are coefficients.

[0024] The overall health risk is then calculated using the following formula: Total health risk = (health risk A x health risk B) / 100 Figure 6 shows major indicators M3 and M4. The details of each indicator are as follows. Major indicator M3 is based on a health questionnaire, and major indicator M4 is based on a stress check. These are questionnaires about health and stress, respectively. Major indicator M3: Support for balancing work and family life Indicator M31: The burden of treatment is reduced Indicator M32: The burden of caregiving is reduced Indicator M33: The burden of childcare is reduced Indicator M41: Support from family and friends Indicator M42: Satisfied with family life As shown in the figure, major index M3 includes indexes M31, M32, and M33. Note that there are no mutual links between indexes M31 to M33. This is because these question items are not thought to affect each other.

[0025] Furthermore, the large index M4 includes an index M41 and an index M42. In the drawing, the index M42 is linked with a line indicating that it is affected by the index M41.

[0026] Figure 7 shows the major indices M5, M6, and M7. The details of each index are as follows: Major indicator M5: Self-care Indicator M51: High health consciousness Indicator M52: High health literacy Indicator M53: Taking care of yourself Major indicator M6: Improving lifestyle habits Indicator M61: Getting enough sleep Indicator M62: Adequate nutrition and diet Indicator M63: Regular dental checkups Indicator M64: Moderate exercise Indicator M65: Drinking alcohol appropriately Indicator M66: Quitting smoking The large index M5 includes indexes M51, M52, and M53. Links are set from index M51 to index M52, and from index M52 to index M53, respectively, indicating that they are affected by these relationships.

[0027] Major index M6 includes indexes M61 to M66. Indicators M62 to M66 are each linked to index M61, but there is no causal relationship between them.

[0028] Links are set from major index M5 to major index M6, and from major index M6 to major index M7, indicating that these indexes are mutually influenced.

[0029] Scores can be calculated for each of the indicators M61 to M66 included in this major indicator M6. Here, the number of short sleepers, dietary score, number of people who received dental checkups, exercise score, drinking score, and smoking score are calculated according to each indicator. These scores can be calculated as follows:

[0030] Figure 8 shows the scoring system for health questionnaire responses. For example, as shown in the figure, in the "Dietary Content" section, the question "Eat a balanced diet of staple food, main dish, and side dish" has four possible answers: not conscious, not very conscious, sometimes conscious, and conscious, with scores ranging from 0 to 4 assigned to each answer. Scores are similarly assigned to responses regarding alcohol and luxury goods. A score is calculated based on the health questionnaire responses corresponding to each indicator.

[0031] More specifically, health questionnaires are administered to multiple employees in advance and stored as data. Then, the scores of the health questionnaire responses corresponding to each indicator are tallied. For example, if a dietary score is desired, questions in the subcategory related to diet are selected, and the responses (scores) are tallied. This is the habit score. In addition to the dietary score, exercise, smoking, drinking, and sleep scores are also calculated. These scores are then standardized. The points for each habit score are normalized based on their respective maximum scores. A weighting is assigned to each habit score, and the scores reflecting the weighting of each habit score are added together to calculate a total score. This total score is the lifestyle habit score. In other words, the lifestyle habit score is the sum of the dietary score, exercise score, smoking score, drinking score, and sleep score. Figure 12 shows the correlation between this lifestyle habit score and the self-care implementation rate.

[0032] The number of short-term sleepers and the number of people undergoing dental checkups indicate the number of people, and the points assigned to the questionnaire responses are also indicated as 1 or 0.

[0033] 9 is a diagram showing the indices M81 to M85 of the large index M8. The contents of each index are as follows. Major indicator M8: High-risk measures Indicator M81: Health checkup has been performed Indicator M82: The number of people with findings C, D, and X is decreasing Indicator M83: Follow-up measures are being taken for those with findings C, D, and X. Indicator M84: The number of people with high stress levels is decreasing Indicator M85: The number of employees taking leave due to mental health issues is decreasing Note that abnormal findings C, D, and X indicate the results of the medical checkup. As shown in the figure, links are set from index M81 to index M82, and from index M82 to M83. Also, a link is set from index M84 to index M85.

[0034] The indicators M81 to M83 are items based on medical checkup data and are obtained by performing a medical checkup on each employee. The indicators M84 to M85 are obtained from a stress check.

[0035] 10 is a diagram showing detailed indicators of the health-related final target indicator M9. The target index M9 includes indicators M91 to M96. Links are set so that indicator M91 is influenced by indicator M2, indicator M17 (see FIG. 2), indicator M3 (see FIG. 6), indicator M42 (see FIG. 6), indicator M7 (see FIG. 7), and indicator M92. The details of each of the nine major indicators are as follows: Indicator M91: Feeling in good health Indicator M92: Good medical health Indicator M93: Performance is being demonstrated Indicator M94: Absenteeism is reduced Indicator M95: Rewarding work Indicator M96: Realizing well-being management Each of the major indices M1 to M8 shown in FIGS. 2 to 7 affects each of the indices M91 to M96 included in the target index M9.

[0036] The indicator M92 is linked to be influenced by the indicator M6 (see FIG. 7) and the indicator M8 (see FIG. 9). The indicator M92 is based on medical checkup data.

[0037] The index M93 is linked so as to be influenced by the index M91 and the index M95.

[0038] The index M94 is linked to the index M8 (see FIG. 9) and the index M93 so that the index M94 is influenced by them.

[0039] The index M95 is linked so as to be influenced by the indexes M91 and M93.

[0040] The index M96 is linked so as to be influenced by the indexes M95, M93, and M94.

[0041] As explained above, a strategy (hypothesis) that satisfies the needs of the field is formulated by incorporating on-site knowledge and ensuring logical consistency based on a pre-prepared template. In this disclosure, correlation values ​​are synthesized at the points indicated by lines (arrows) between indicators, and the strength of the correlation values ​​can be evaluated to assess the likelihood of the path to achieving the strategy (a strategy supported by data). Figures 11 to 13 are diagrams that synthesize correlation values ​​for the health management strategy maps of Figures 6, 7, and 10, respectively. By referring to these correlation values, managers can evaluate the likelihood of the connections between indicators.

[0042] In Figure 12, the correlation between index M53 and index M6 is calculated as 0.27. This is the correlation between the lifestyle score, which is the sum of the scores calculated for each of the indexes M61 to M66 included in the major index M6, and the self-care implementation rate, and can be calculated, for example, using the Pearson r formula: r = cov(x,y) / (sd(x) × sd(y)). Here, x is the self-care implementation rate, and y is the lifestyle score. cov(x,y) = Σ(xi - average of x)(yi - average of y / (n-1) sd(x) = √(Σ(mean value of (xi - x)^2 / (n-1)) sd(y) = √(Σ(mean value of (yi - y)^2 / (n-1)) In addition, in index M6, the lifestyle score is the sum of the dietary score, exercise score, smoking score, drinking score, and sleep score, and in Figure 12, the correlation between this lifestyle score (index M6, which includes the sleep score) and the sleep score (index M7) is calculated.

[0043] In addition, in FIG. 13, index M92 is analyzed by performing multiple regression analysis between index M92 and each of indexes M61 to M66 included in index M6.

[0044] For example, multiple regression analysis is performed to examine the relationship between lifestyle improvement (increase in lifestyle score) and improvement in the values ​​of abnormal findings in health checkups. The abnormal findings here are assumed to be blood lipids (LDL-C, HDL-C, triglycerides, etc.), blood pressure, liver function, blood sugar level, etc., but may be other values.

[0045] This multiple regression analysis clarifies the degree of influence that each explanatory variable has on the dependent variable. For example, the explanatory variables and dependent variable are assigned as follows:

[0046] Explanatory variables: lifestyle scores (dietary score, exercise score, smoking score, drinking score, sleep score), age, gender, etc. - Objective variable: Change in findings in health checkup results (BMI, GOT, GPT, HbA1c, etc.) By performing multiple regression analysis in this way, it is confirmed that each item improves when lifestyle habits improve.

[0047] Once a strategy has been formulated, by updating the indicator data, it is possible to display alerts if there are any problems with the indicators and strategic path. This makes it easy to review the strategic path and the issues and measures that need to be addressed along the way. This indicator data is obtained based on health-related data, as described below.

[0048] It also calculates correlations between other indicators that are not related to the path to achieving the strategy, displays significant correlations, and allows for revision of the formulated strategy as necessary. This provides a perspective for reviewing data-based goals, issues, and initiatives.

[0049] This makes it possible to formulate and implement a strategy that customers can be satisfied with and confident about.

[0050] Next, we will explain the functional configuration of the health management device 100 that executes the above-described process for generating the health management strategy map. FIG. 14 is a block diagram showing the functional configuration of the health management device 100. This health management device 100 includes a storage unit 101, a setting unit 102, an operation unit 102a, a calculation unit 103, a display unit 104, and an update unit 105. Physically, this health management device 100 is configured as a computer system including one or more CPUs, RAM and ROM (primary storage), input devices such as a keyboard and a mouse, output devices such as a display, a communication module (data transmission / reception device) such as a network card, and auxiliary storage devices such as a hard disk or semiconductor memory. Each function in the diagram is realized by loading a specific computer program into the hardware, such as the CPU and RAM, to operate the input device, output device, and communication module under the control of the CPU, and to read and write data from and to the RAM or auxiliary storage device. Each functional block will be explained below based on the functional blocks shown in the diagram.

[0051] The storage unit 101 is a part that stores a template of a health management strategy map and health-related data. The template indicates the major indicators, indicators, and their link settings shown in Figures 1, 2, 4, 6, 7, 9, and 10. The health-related data includes medical checkup data, stress check data, health questionnaire data, and various policy data. For example, in the case of a health questionnaire, this is the questionnaire response result information including the questionnaire items and the response results. The same applies to stress check data. The policy data is as shown in Figure 1 and includes each policy (training, etc.) and its results (participation rate, etc.).

[0052] FIG. 15 is a diagram showing a specific example of questionnaire response result information for a stress check. As shown in the figure, the storage unit 101 stores questionnaire response result information that associates a questionnaire number, questionnaire items, and response results for each user (employee). This questionnaire response result information is the response results to a health management questionnaire administered to employees in a certain department or division. In this disclosure, the figure shows a stress check, but there is also a health questionnaire, and two types of questionnaires are used. Each corresponds to an index. The stress check is reflected in major index M1 and major index M2. The health questionnaire is reflected in major indexes M3 to M9. While the stress check mainly targets the work environment, the health questionnaire targets lifestyle habits.

[0053] A template for a health and productivity management strategy map is, for example, an arrangement of the survey items shown in Fig. 1 (including the indicators shown in Figs. 2, 3, 6, 7, and 9). In this disclosure, the figure is divided for ease of drawing, but as shown in Fig. 1, it is expressed as a single health and productivity management strategy map.

[0054] The storage unit 101 stores correlation values ​​between each questionnaire item and index, which are calculated based on the questionnaire response result information, and the scores of each index. The questionnaires are conducted periodically, and the storage unit 101 stores the correlation values ​​as history information to observe fluctuations.

[0055] The setting unit 102 is a part that sets the relationships between multiple questionnaire items displayed on the health management strategy map. The setting unit 102 performs an operation to connect lines between major indicators and between indicators through operation by the administrator using the operation unit 102a. For example, by operating the operation unit 102a, the administrator reads out a template for the health management strategy map from the storage unit 101, displays it on the display unit 104, and sets links (connects lines).

[0056] The calculation unit 103 is a part that calculates correlation values ​​between each index and scores (total health risk and other scores) for each index (questionnaire item) based on the questionnaire response result information. The calculation unit 103 may calculate all correlation values ​​between each index, or may calculate only specified ones (for example, those for which a link is set). The calculation method for correlation values ​​and scores is as described above. The calculation unit 103 stores the calculated correlation values ​​and scores in the memory unit 101 together with the date on which the questionnaire was taken (or the date on which the calculation was made).

[0057] The display unit 104 displays multiple major indicators and indices, as well as correlation values ​​between the multiple indices. Specifically, the display unit 104 displays the calculated correlation values ​​and scores combined with the health management strategy maps shown in Figures 2, 3, and 6 to 10. For example, the display unit 104 displays the health management strategy maps (with correlation values) shown in Figures 4, 5, and 11 to 13. Although the maps are divided into several parts for ease of drawing, displaying them as a single map makes them easier to read. By viewing these correlation values ​​and scores, managers can continuously verify the strategy (hypothesis) obtained by linking the indicators and the corresponding measures using data, enabling them to revise the strategy to make it more effective.

[0058] The update unit 105 updates the memory unit 101 by storing new survey response result information. Then, the update unit 105 controls the calculation unit 103 to instruct it to recalculate the correlation value and score. Surveys of employees are conducted periodically. For example, a survey is conducted of employees once a year. In the present disclosure, the health management device 100 stores the survey response result information in the memory unit 101 and updates it.

[0059] When an update is made, the update unit 105 determines whether there has been a change in the correlation values ​​between survey items or in the scores of survey items based on the survey response result information (corresponding to historical information) stored in the memory unit 101, and if there has been a large change (for example, if the correlation value or score has increased or decreased by more than a predetermined value), it notifies the administrator by displaying this on the display unit 104.

[0060] The operation of health management device 100 configured as above will be described. Fig. 16 is a diagram showing an overview of the operation of health management device 100 that generates a health management strategy map. In the figure, the administrator operates operation unit 102a to read out a template of a health management strategy map stored in storage unit 101 (S101). Then, the administrator operates operation unit 102a to formulate a strategy for the health management strategy map using setting unit 102 (S102). This strategy formulation refers to setting links between indicators.

[0061] Then, the calculation unit 103 reads out the index data, which is the questionnaire results, from the storage unit 101, and calculates the correlation value between the indexes and the score of each index (S103). The index data is calculated as follows. The storage unit 101 stores health-related data such as medical checkup data, stress data, health questionnaire data, and various policy data. Among the health-related data, quantitative data whose values ​​themselves are meaningful and can be calculated (medical checkup data, stress check data, group analysis data, and each policy data) is used as is as index data. Each policy data includes quantitative data and qualitative data, such as the number of steps and sleep time, and quantitative data such as seminar satisfaction and understanding.

[0062] On the other hand, for qualitative data (health questionnaires, various policy data) whose values ​​themselves are meaningless, scores are calculated and used as index data. A specific example is the lifestyle habit score (see index M6).

[0063] The health management strategy map and correlation values / scores are temporarily stored in a buffer or the like, and the display unit 104 draws and displays a health management strategy map including the correlation values ​​and scores (S104, S105). The manager can refer to this health management strategy map.

[0064] The storage unit 101 stores index data, and stores index data for each fiscal year as historical information. This data is used to create a dashboard. This dashboard is a process for displaying various indexes based on health-related data on a single screen in an easy-to-understand manner using graphs and tables. If the value worsens compared to the previous year, an alert is sent, allowing the user to quickly identify problem areas.

[0065] As mentioned above, the indicator data is calculated based on health-related data, and data analysis is performed using that health-related data. To clarify the causes of problematic indicators identified on the dashboard, the values ​​of sub-indicators of the indicator and their correlations with the indicator are checked on the strategy map, and it is analyzed which sub-indicators or the strength of the correlations are causing the deterioration.

[0066] Next, the processing when index data is updated will be described. FIG. 17 is a flowchart showing this processing. When updating unit 105 determines to update index data (S201), calculation unit 103 calculates the correlation value and score of the updated index data (S202). Display unit 104 draws a health management strategy map for the updated index data (S203). Here, if the current correlation value and score have changed by a predetermined value or more from the previous correlation value and score (increased or decreased), display unit 104 adds information indicating this (i.e., an alert to call attention) to the health management strategy map and draws it. Display unit 104 displays the health management strategy map (S204).

[0067] Next, the effects of the health management device 100 of the present disclosure will be described. In the health management device 100 of the present disclosure, the storage unit 101 stores multiple questionnaire items regarding the health of subjects who are employees and questionnaire response result information, which is the response results. The setting unit 102 treats the multiple questionnaire items as indices and sets the associations between the indices. Setting the associations means setting links to connect the indices, and this setting is performed by an administrator.

[0068] The calculation unit 103 calculates correlation values ​​between the respective indicators using the questionnaire response results. Then, the display unit 104 displays the multiple indicators and the correlation values ​​between the multiple indicators. In the present disclosure, the display unit 104 combines and displays the correlation values ​​in association with the links between the indicators in the health management strategy map.

[0069] This configuration makes it possible to formulate a logically consistent health and productivity management strategy (hypothesis) that utilizes on-site knowledge and continuously verify the strategy (hypothesis) using data, thereby enabling revision to an effective strategy. In other words, the present disclosure sets the relationships between indicators as a health and productivity management strategy and calculates the correlation values ​​between those indicators, thereby objectively verifying the strategy (hypothesis) and improving its effectiveness.

[0070] Previous client health management strategies lacked logical consistency or were limited to examining individual indicators, without examining the overall strategy, resulting in issues with effectiveness. This disclosure makes it possible to examine the entire strategy and increase its effectiveness. Furthermore, by examining the degree of goal achievement, the degree of problem resolution, and the effectiveness of policy initiatives based on objective data and providing feedback on the results, it is possible to continuously review and refine strategies to ensure their effectiveness.

[0071] In the present disclosure, for example, the display unit 104 generates and displays a health promotion strategy map expressed in a tree structure that connects together indicators (questionnaire items) that have links (relationships) set among the multiple indicators (questionnaire items).

[0072] For example, by incorporating on-site knowledge and ensuring logical consistency based on a pre-prepared health management strategy map template, it is possible to formulate a strategy (hypothesis) that is convincing to those on the front lines.The correlation between indicators set for multiple links (path processes) leading to the realization of the strategy can be calculated, and the strength of this correlation can be used to evaluate the probability of the path to realizing the strategy (a strategy backed by data).

[0073] A route showing links with consecutively large correlation values ​​can be judged to be a strong path connected by data as hypothesized. On the other hand, links with small correlation values ​​along the way can be judged to be inappropriate candidates.

[0074] In the present disclosure, the indices include change indices relating to changes in the consciousness or behavior of subjects such as employees, and health-related goal indices. The change indices refer, for example, to major indices M1 to M8 and the indices included therein. The display unit 104 displays multiple indices (questionnaire items) and correlation values ​​in an area indicated by change indices and goal indices. The goal indices refer to goal indices M9 and the indices included therein. Displaying the indices in association with the type of indices in this manner makes it easier to understand the relationship between the indices. For example, the major indices M9 shown in FIG. 13 are displayed in the area of ​​the goal indices. Other indices shown in FIGS. 4, 5, 11, and 12 are displayed in the area of ​​indices relating to changes in the consciousness and behavior of employees.

[0075] By arranging each indicator by area and in a tree structure for each indicator, the strategic path (upstream → mid-stage → downstream KPI) becomes visually clear and causes and effects can be traced quickly. In particular, it becomes much easier to identify bottlenecks, prioritize measures, assign responsible departments, and make decisions on investment allocation.

[0076] The display unit 104 also displays the progress status of health investment measures according to the indicators, in association with multiple indicators (questionnaire items) and their correlation values. The progress status of health investment measures here refers to measures S1 to S9. By displaying measures S1 to S9 in association with major indicators M1 to M9 and the respective indicators contained therein, the created strategy map (hypothetical path) is overlaid with the strength of the relationship (correlation value in this disclosure) calculated from actual data such as survey response results, making it possible to visualize the validity of the hypothesis and the "strength, weakness, and gaps in the path" for managers. This makes it easy to identify whether the measures are appropriate, whether their implementation is effective, and what needs to be revised.

[0077] Furthermore, the calculation unit 103 of the present disclosure calculates correlation values ​​for all combinations of multiple indices (questionnaire items).Then, the display unit 104 displays correlation values ​​between indices to which a link (relationship) is set, among the correlation values ​​for all combinations.

[0078] This allows managers to see the correlation between the indicators they have set, and visualizes the validity of their hypotheses and the strength and discontinuity of their paths. It also provides a perspective for reviewing data-based goals, issues, and initiatives.

[0079] The display unit 104 displays correlation values ​​that satisfy the conditions among correlation values ​​between indicators (questionnaire items) for which no association is set among all the correlation values ​​of all combinations. For example, it may display only correlation values ​​that are equal to or greater than a threshold value.

[0080] As a result, links with low correlation values ​​between indices are not displayed, and links with high correlation values ​​are displayed, making it easier to understand the validity of the construction.

[0081] Furthermore, in the present disclosure, when the update unit 105 determines that the survey response result information stored in the memory unit 101 is to be updated, the calculation unit 103 calculates and updates the correlation values ​​between multiple indicators (survey items) according to the survey response result information.

[0082] With this configuration, when the questionnaire response result information is updated, the health management strategy map (including correlation values) can be updated, and the measures can be reconsidered. Stress checks and health questionnaires are conducted regularly, once a year. Therefore, when the questionnaire response result information is updated, it is a good idea to generate a health management strategy map at that time and determine the appropriateness of the strategy.

[0083] Here, if the updated correlation value does not satisfy a predetermined condition (for example, whether the value has gotten worse or better compared to last year), the display unit 104 notifies the user of this by displaying a message to that effect.

[0084] With this structure, if a value worsens compared to last year, for example, it can be assumed that the connection between the indicators has deteriorated, which motivates the manager to review the measures that lead to that indicator.

[0085] As described above, this disclosure makes it possible to support hypotheses about links between indicators. It also makes it possible to confirm the relationship between upstream indicators and downstream indicators, such as whether the relationship between target KPIs (e.g., presenteeism, WB score) and upstream indicators (sleep quality, number of steps, supervisor support, etc.) is as expected.

[0086] It also enables early detection of anomalies. A decrease in correlation or a sign reversal compared to the previous time can be considered a sign of problems with the delivery of measures or data quality, allowing for early response. In addition, there may be cases where a hypothesis is not plausible with the current data, making it possible to determine, for example, that there is a blockage somewhere in the sleep → vitality → performance chain, and reflect this in appropriate measures.

[0087] The health management device and health management method of the present disclosure have the following configuration. Appendix 1 a storage unit for storing a plurality of questionnaire items regarding the subject's health and the responses thereto; a setting unit that sets associations between a plurality of indexes based on the plurality of questionnaire items; a calculation unit that calculates a correlation value between each of the plurality of indexes using the response result; a display unit that displays the plurality of indices and correlation values ​​between the plurality of indices; Equipped with The display unit displays correlation values ​​between the plurality of indices in association with the relationships connecting the plurality of indices. Appendix 2 the display unit generates and displays a map expressed in a tree structure connecting indices for which correlations are set among the plurality of indices. 2. The health management device according to claim 1. Appendix 3 The indicators include a change indicator related to the subject's change and a health-related goal indicator; the display unit displays the plurality of indices and the correlation value in an area indicated by the transformation index and the target index. 3. The health management device according to claim 1 or 2. Appendix 4 the display unit displays the progress of the health investment measures according to the indexes in association with the plurality of indexes and their correlation values. 4. A health management device according to any one of appendices 1 to 3. Appendix 5 the calculation unit calculates correlation values ​​for all combinations of the plurality of indexes; the display unit displays the correlation value between the indices for which the association is set, among the correlation values ​​of all the combinations. 5. A health management device according to any one of appendices 1 to 4. Appendix 6 the display unit displays a correlation value that satisfies a condition among correlation values ​​between indexes for which the association is not set, among the correlation values ​​of all the combinations. 6. The health management device according to claim 5. Appendix 7 When the survey results stored in the storage unit are updated, the calculation unit calculates and updates the correlation values ​​between the plurality of indexes in accordance with the survey results. 6. A health management device according to any one of appendices 1 to 5. Appendix 8 a notification unit that notifies the user when the updated correlation value does not satisfy a predetermined condition; 8. The health management device according to claim 7, further comprising: Appendix 9 A health management device including a memory unit for storing a plurality of indicators of a subject's health and their response results, a setting step of setting correlations between indicators based on the plurality of questionnaire items; a calculation step of calculating a correlation value between each of the plurality of indexes using the response results; a display step of displaying the plurality of indices and correlation values ​​between the plurality of indices; A health management method comprising: [Explanation of symbols]

[0088] 100...Health management device, 101...Storage section, 102...Setting section, 102a...Operation section, 103...Calculation section, 104...Display section, 105...Update section.

Claims

1. a storage unit for storing a plurality of questionnaire items regarding the subject's health and the responses thereto; a setting unit that sets associations between a plurality of indexes based on the plurality of questionnaire items; a calculation unit that calculates a correlation value between each of the plurality of indexes using the response result; a display unit that displays the plurality of indices and correlation values ​​between the plurality of indices; a notification unit that issues a notification; Equipped with the display unit displays the correlation values ​​between the plurality of indexes in association with the relationships connecting the plurality of indexes; The calculation unit When the answer results for the questionnaire items stored in the storage unit are updated, a correlation value between the plurality of indexes is calculated and updated in accordance with the answer results; The notification unit If the updated correlation value does not satisfy a predetermined condition, a notification to that effect is given. Health management device.

2. the display unit generates and displays a map expressed in a tree structure connecting indices for which correlations are set among the plurality of indices. The health management device according to claim 1 .

3. The indicators include a change indicator related to the subject's change and a health-related goal indicator; the display unit displays the plurality of indices and the correlation value in an area indicated by the transformation index and the target index. The health management device according to claim 1 or 2.

4. the display unit displays the progress of the health investment measures according to the indexes in association with the plurality of indexes and their correlation values. The health management device according to claim 1 or 2.

5. the calculation unit calculates correlation values ​​for all combinations of the plurality of indexes; the display unit displays the correlation value between the indices for which the association is set, among the correlation values ​​of all the combinations. The health management device according to claim 1 or 2.

6. the display unit displays a correlation value that satisfies a condition among correlation values ​​between indexes for which the association is not set, among the correlation values ​​of all the combinations. The health management device according to claim 5 .

7. A health management method executed by a health management device having a storage unit that stores a plurality of questionnaire items regarding the health of a subject and their response results, comprising: a setting step of setting correlations between indicators based on the plurality of questionnaire items; a calculation step of calculating a correlation value between each of the plurality of indexes using the response results; a display step of displaying the plurality of indices and correlation values ​​between the plurality of indices; a notification step of issuing a notification; Equipped with In the display step, the correlation values ​​between the plurality of indexes are displayed in association with the relationships connecting the plurality of indexes; In the calculation step, When the answer results for the questionnaire items stored in the storage unit are updated, a correlation value between the plurality of indexes is calculated and updated in accordance with the answer results; In the notification step, If the updated correlation value does not satisfy a predetermined condition, a notification to that effect is given. Health management method.

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