Regional Analysis System, Method, and Program for Analyzing Support Status for Persons Requiring Long-Term Care

Abstract

To visualize the oversights of support items in a specific region.SOLUTION: An analysis system includes a database storing attributes of care recipients, a plurality of support items, a plurality of implementation support items which have been implemented for the care recipients among the plurality of support items, and a plurality of column data where residential areas of support stuffs who have planned the implementation support items are associated with each other. Attributes and specific regions of care recipients are entered, and a ratio at which a support has been implemented across the country and in a specific region (AA prefecture) is calculated about each of the support items using each of column data containing the entered care recipient attributes and column data having the entered care recipient attributes and including the input specific region in the residential regions of the support staffs, and the calculated ratio is displayed by a numeric value. Support items with low implementation ratios in specific regions as compared to the entire country can bae visualized.SELECTED DRAWING: Figure 8

Description

Technical Field

[0001] This invention relates to a system for analyzing the support status of care recipients by region. The invention also relates to a method and program for analyzing the support status of care recipients by region.

Background Art

[0002] Care managers create care plans (plans for providing care services, etc.) and coordinate with municipalities, service providers, facilities, etc. so that care recipients (supported persons, generally the elderly) can receive appropriate care services (home care, day services, etc.) according to their consultations and physical and mental conditions. The work of care managers is generally incorporated into the following steps (1) to (6).

[0003] (1) Assessment The situation of the care recipient is grasped, information on life difficulties and desires is collected, the background and factors of the decline in physical and mental functions are analyzed, and the life problems (needs) to be solved and possibilities are grasped. (2) Creation of a draft care plan A draft care plan is created, including setting comprehensive assistance policies, short-term and long-term goals (achievement times, etc.), and setting the types and frequencies of services required to achieve the goals. (3) Service provider meetings, etc. The draft care plan is examined and adjusted from a professional perspective, including service providers. Also, the understanding is shared among multiple professions, and the care plan is determined after explanation and consent to the care recipient. (4) Provision of care services According to the determined care plan, specific care services such as meal assistance and bathing assistance are provided to the care recipient by the service provider. (5) Benefit management The management of care benefits generated by the use of long-term care insurance services is carried out. (6) Monitoring (re-assessment) The care services provided will be used to check whether the person requiring care is able to live independently and whether they are meeting their short-term goals.

[0004] After completing the monitoring (reassessment) described in (6) above, if the short-term goals have been achieved, new short-term goals will be set based on the long-term goals, and a new care plan will be created to achieve these new short-term goals. If the short-term goals have not been achieved, an investigation will be conducted to determine whether the short-term goals are appropriate for the current situation, whether there are any problems, etc., and a decision will be made on whether to continue or modify the care plan. The process will then return to the creation of the draft care plan described in (2) above.

[0005] In (1) assessment or (6) monitoring, care managers generally visit the homes of those requiring care, meet with the person and their family, listen to their stories, collect information necessary for creating or modifying a care plan, and provide (4) care services in accordance with the care plan. However, care plans and the care services based on those plans may be insufficient due to the care manager's lack of experience, insufficient training, etc.

[0006] Patent Document 1 provides a care support system and care support program that enables all organizations or individuals involved in caregiving, such as community comprehensive support centers, care providers, and the families of those receiving care, to share care information and to support appropriate care services based on this shared care information. [Prior art documents] [Patent Documents]

[0007] [Patent Document 1] Japanese Patent Publication No. 2014-137811

[0008] Experienced care managers, in their daily work, unconsciously consider and act upon things like, "Maybe this kind of support is needed?" or "Let's ask about this in more detail," based on their past experience and knowledge. However, this is not easy for less experienced care managers.

[0009] To enable even inexperienced care managers to provide a certain level of care management, a system of "anticipated support content" that systematizes the knowledge of experienced care managers has been devised, organized into major, medium, and minor categories. For example, the major categories include seven items such as "Understanding the current overall situation and predicting and preparing for future living conditions," "Supporting the decision-making process," and "Maintaining and improving developing functions based on predictions, and supporting the prevention of frailty and worsening of conditions." The medium categories include 24 items such as "Understanding illnesses and physical and mental conditions," "Understanding the overall situation of current living conditions," "Predicting risks based on the desired lifestyle," "Preparing for emergency situations," and "Supporting the understanding of the individual's wishes." The minor categories include 44 items such as "Supporting understanding disease management," "Supporting the understanding of co-existing conditions," "Early detection of oral abnormalities and securing dental care equipment," and "Confirming the risk and history of falls and fractures." Having a set of "anticipated support options" helps prevent overlooking the hypothesis about support options and the assessment perspectives needed to determine their necessity.

[0010] However, even though the 44 pre-defined sub-items of "anticipated support content" can assist in formulating hypotheses about support content and judging its necessity, selecting the support content needed by a care recipient is not easy. Appropriate items must be selected from the 44 "anticipated support content" to suit the individual care recipient, but the attributes (conditions) of care recipients vary, and generally, the items to be selected will differ depending on the care recipient. Naturally, the support items implemented will generally differ from one care recipient to another, even if their condition (attributes) is the same.

[0011] Ideally, if the care recipient's condition (attributes) is the same, the items to be provided to that care recipient should be basically the same (almost the same). However, the support items (and their types) provided to care recipients with a given condition (attributes) may differ depending on the region (for example, prefecture). One possible reason for this is that training for care managers differs from region to region. [Overview of the Initiative] [Problems that the invention aims to solve]

[0012] This invention aims to visualize overlooked support items in specific regions.

[0013] This invention also aims to visualize overlooked support items in specific regions by generation (by the care manager's years of experience). [Means for solving the problem]

[0014] The regional care recipient support status analysis system according to this invention includes a support worker / care recipient / support item database which stores multiple records linked together, each containing the attributes of the care recipient, multiple support items, one or more implemented support items from the multiple support items that have been implemented or are planned to be implemented for the care recipient, and at least the residential area of ​​the support worker (care manager) who planned the implemented support item; a care recipient attribute input means for inputting the attributes of the care recipient; a region input means for inputting a specific region; and a first method for searching the support worker / care recipient / support item database for a first record having the attributes of the care recipient entered by the care recipient attribute input means. The system includes a search means, a second search means for searching the support worker / care recipient / support item database for a second record that has the care recipient attributes entered by the care recipient attribute input means and includes the specific region entered by the region input means as the support worker's residential area, a performance calculation means for calculating the percentage of support provided for each of the support items using the first and second records found by the first and second search means respectively, and a display means for displaying the implementation percentage for each support item calculated by the performance calculation means using the first and second records respectively.

[0015] This invention provides a support worker / care recipient / support item database in which multiple records are stored, each associated with the attributes of the care recipient, multiple support items, one or more support items implemented or planned for implementation for the care recipient, and at least the residential area of ​​the support worker (care manager) who planned the support items. The invention accepts input of the care recipient's attributes from a care recipient attribute input means, input of a specific region from a region input means, and a first search means retrieves a first record having the input care recipient attributes from the support worker / care recipient / support item database. The method also provides a regional analysis method for supporting elderly people requiring care, which involves searching the support worker / elderly person / support item database using a second search means to find a second record that has the attributes of the elderly person requiring care entered above and whose residential area includes the specific region entered above. The implementation rate calculation means calculates the percentage of support provided for each of the support items using the first and second records found by the search, and the display means displays the implementation percentage for each support item calculated using the first and second records.

[0016] The attributes of the person requiring care include, for example, their age, gender, level of care needed, household, living situation, and medical history. Multiple support items, for example, 44 types of support items, are pre-prepared. Implemented support items are one or more of the above-mentioned support items that have been implemented or are planned for implementation for the person requiring care. In addition to the attributes of the person requiring care, multiple support items, and one or more implemented support items, the support worker / person requiring care / support item database stores multiple records associated with the residential area of ​​the support worker (care manager) who planned the implemented support item. The residential area may be a prefecture, or it may be specified down to the city, town, or village level in addition to the prefecture.

[0017] The attributes of the person requiring care are entered, and records (first records) possessing the entered attributes of the person requiring care are searched from the support worker / person requiring care / support item database. As mentioned above, the attributes of the person requiring care include the person's age, gender, level of care needed, household status, etc., and one or more of these are used to create search conditions. Needless to say, fewer search conditions will result in more first records being found, and more search conditions will result in fewer records being found.

[0018] Furthermore, a specific region is entered, and records that include the entered region as the support worker's place of residence are searched from the support worker / care recipient / support item database. Generally, the specific region is a single address (for example, one prefecture), but it may also be multiple addresses (for example, two prefectures) or a broad region (Kyushu, Shikoku, etc.). If a broad region is entered as the specific region, records that include prefectures within that broad region as the support worker's place of residence are searched.

[0019] According to this invention, the percentage of support provided for each support item is calculated using a first record containing the input attributes of the care recipient, and the percentage of support provided for each support item is calculated using a second record containing the input attributes of the care recipient and the input specific region. These two implementation percentages are then displayed for each support item. In other words, both the implementation percentage without regional restrictions and the implementation percentage limited to specific regions are displayed for each support item.

[0020] For example, if the implementation rate of a particular support item is higher nationwide (i.e., not limited to a specific region) and lower in a specific region, it is possible that the support item is being overlooked in that region. By making these overlooked support items in a specific region visible, it becomes possible to bring the implementation rate in that region up to the national level by, for example, reviewing the training system in that region.

[0021] In one embodiment, a plurality of records stored in the above-mentioned caregiver / care recipient / support item database include the years of experience of the above-mentioned caregiver, and the above-mentioned performance calculation means calculates the percentage of support implemented using the above-mentioned second record for each year of experience or for each predetermined range of years of experience. It is possible to visualize the tendency of overlooking support items for a specific generation.

[0022] This invention also provides a program for causing a computer to execute a method for analyzing the support status of care recipients by region.

Brief Description of the Drawings

[0023] [Figure 1] It is a block diagram showing the hardware configuration of the business support system. [Figure 2] Showing the care manager database. [Figure 3] Showing the care recipient database. [Figure 4] Showing the support implementation status database. [Figure 5] It is a flowchart showing the processing flow of the regional care recipient support status analysis device. [Figure 6] It is a flowchart showing the processing flow of the regional care recipient support status analysis device. [Figure 7] Showing the input screen for prefecture name and care recipient attributes. [Figure 8] Showing the analysis screen. [Figure 9] Showing the analysis screen of another example. [Figure 10] It is a flowchart showing the processing flow of the analysis system of another embodiment. [Figure 11] It is a flowchart showing the processing flow of the analysis system of another embodiment. [Figure 12] It is the analysis screen of the analysis system of another embodiment.

Examples

[0024] Figure 1 is a block diagram showing the hardware configuration of the business support system.

[0025] The business support system includes an analysis system 10 and terminal devices (personal computers, tablet devices, smartphones, etc.) 20 used for data input and display. The analysis system 10 is, for example, under the management of the business support system operating company. The terminal devices 20 are used, for example, by care managers.

[0026] The analysis system 10 and the terminal device 20 are interconnected via a network, such as the Internet. Screen data created by the analysis system 10 is transmitted to the terminal device 20 via the network and displayed on its screen. Data entered in the terminal device 20 is transmitted to the analysis system 10 for data analysis and other operations.

[0027] The analysis system 10 includes a regional care recipient support status analysis device 11, a care manager database 12, a care recipient database 13, and a support implementation status database 14.

[0028] The regional care recipient support status analysis device 11 is a computer device connected to a central processing unit (CPU) that comprehensively controls its overall operation, memory that provides a work area and buffer area, input devices (such as a keyboard), a display device (such as an LCD display), a storage device (such as a hard disk) that stores various programs and data, and a communication device that sends and receives data via a network (such as the internet). By installing a program in the storage device that allows the computer device to function as the regional care recipient support status analysis device 11 and executing this program, the computer device operates as the regional care recipient support status analysis device 11.

[0029] The storage device connected to the regional care recipient support status analysis device 11 contains multiple databases, in this case a care manager database 12, a care recipient database 13, and a support implementation status database 14. First, these databases 12-14 will be explained.

[0030] Figure 2 shows the care manager database 12.

[0031] The care manager database 12 registers a unique identification number (ID) that is pre-assigned to each care manager who is able to use the business system. Associated with this care manager ID, the care manager database 12 registers data such as the password (PSW) used for authentication when using the business system, the care manager's name, address, years of experience, qualifications, whether or not they hold a supervisory position (whether they have experience as a supervisor), the types of training they have completed, and their level of proficiency (expert or beginner).

[0032] Figure 3 shows the database of people requiring long-term care 13.

[0033] The care recipient database 13 registers a unique identification number (ID) that is assigned to each care recipient in advance. Associated with this care recipient ID, the care recipient database 13 registers data representing the care recipient's name, age, gender, level of care needed (one of care levels 1-5), type of residence (one of the following: detached house, apartment, nursing home, service-provided housing for the elderly, group home, care facility, or other), medical history (one of the following: cerebrovascular disease, heart disease, fracture / fall, cancer, respiratory disease, joint disease, diabetes, dementia, Parkinson's disease, spinal cord injury, visual / hearing impairment, or speech impairment), level of independence in daily living (one of the following: J1, J2, A1, A2, B1, B2, C1, C2), level of cognitive independence (one of the following: not applicable, Ia, Ib, IIa, IIb, IIIa, IIIb, or M), level of motivation (one of the following: high, low, or neither), understanding of the disease and its necessity (one of the following: high, low, or neither), and main challenges (optional information).

[0034] Figure 4 shows the support implementation status database 14.

[0035] The support implementation status database 14 contains multiple columns of data (records), each containing "A. Care Manager ID," "B. Care Recipient ID," and "C. Support Item." "A. Care Manager ID" contains the care manager IDs registered in the aforementioned care manager database 12 (Figure 2), allowing the name, address, years of experience, etc., of the care manager who created the plan for the support items implemented for the care recipient to be identified. "B. Care Recipient ID" contains the care recipient IDs registered in the aforementioned care recipient database 13 (Figure 3), allowing the name, age, gender, care level, etc., of the care recipient who received support to be identified. "A. Care Manager ID" may contain the same ID in multiple columns (for example, if a care manager plans for multiple care recipients), but "B. Care Recipient ID" contains only unique IDs.

[0036] Under "C. Support Items," the support items (sets thereof) that were planned by the care manager identified by "A. Care Manager ID" and implemented for the care recipient identified by "B. Care Recipient ID" are registered. In the support implementation status database 14 shown in Figure 4, the implemented support items (implemented support items) are indicated by circles (〇) out of the 44 support items. Generally, the implemented support items are selected and implemented from among 44 support items that systematize the knowledge of experienced care managers.

[0037] Each time support is provided to a person requiring care, column data (records) is added to or updated in the support implementation status database 14. Care managers may also add column data to the support implementation status database 14 when they create a care plan; in this case, the database 14 will register the support items that are expected to be provided. As many care managers provide support to many people requiring care, the support implementation status database 14 shown in Figure 4 will have many column data entries.

[0038] Figures 5 and 6 are flowcharts showing the processing flow of the regional care recipient support status analysis device 11. Figure 7 shows an example of the input screen displayed on the terminal device 20's display screen, and Figures 8 and 9 show example screens including the analysis results displayed on the terminal device 20's display screen.

[0039] First, the name of the prefecture and the attributes of the person requiring care are entered from the terminal device 20 (steps 31, 32).

[0040] Figure 7 shows the input screen 53 for prefecture name and attributes of care recipient.

[0041] The prefecture name and care recipient attribute input screen 53 includes a prefecture name input field 53A and 11 types of care recipient attribute input fields 53B for age, gender, care level, household, living arrangement, medical history, level of independence in daily living, level of cognitive independence, motivation level, understanding of disease / understanding of necessity (initial involvement), and main issues *additional keywords.

[0042] When the "Confirm" button 53C on the prefecture name and care recipient attribute input screen 53 is clicked, the input data is transmitted from the terminal device 20 to the regional care recipient support status analysis device 11. The prefecture name entered in the prefecture name input field 53A and the 11 types of care recipient attributes (not all of them) entered in the 11 care recipient attribute input fields 52A are used as search keywords, and the following processing is performed.

[0043] Returning to Figure 5, the care recipient attributes entered in input field 53B of the care recipient attribute input screen 53 are initially used as search keywords, and column data (records) with matching care recipient attributes are read (searched) from the support implementation status database 14 (Figure 4) mentioned above (step 33).

[0044] Depending on the attributes entered in input field 53B, there may be no column data read from the support implementation status database 14 (0 hits), or many column data may be read. It is not necessary to enter attributes for all 11 types in input field 53B; it is acceptable to leave it blank. Reducing the number of attribute data types entered in input field 52B will increase the number of column data read. Also, for example, for age, it may be possible to accept input values ​​with a range (e.g., 75-80 years old). Accepting input values ​​with a range can also increase the number of column data read.

[0045] As described above, the column data read from the support implementation status database 14 includes the care manager ID (Figure 4), and the care manager ID is associated with the care manager's address in the care manager database 12 (Figure 2). Next, from the records that have the entered care recipient attributes, column data containing the care manager ID of care managers whose address is in the prefecture entered in input field 53A of the care recipient attribute input screen 53 is extracted (searched) (step 34). That is, both the entered care recipient attributes and the prefecture name are used as search conditions (search keywords), and matching column data is read (searched) from the support implementation status database 14 as described above.

[0046] The column data read from the support implementation status database 14 includes the care manager ID (Figure 4), and the care manager ID is associated with the care manager's years of experience in the care manager database 12 (Figure 2). Next, from the column data searched using both the attributes of the person requiring care and the prefecture name, the years of experience are extracted (categorized) into 0-2 years, 3-5 years, 6-10 years, 11-15 years, 16-20 years, and 21 years or more (Steps 39A-39F).

[0047] As described above, the column data includes support items implemented by care managers whose IDs are registered in "A. Care Manager ID" and for care recipients whose IDs are registered in "B. Care Recipient ID" (support items indicated by circles in Figure 4). The number of "〇" marks is counted for each of the 44 support items using the column data retrieved using care recipient attributes as search keywords, the column data retrieved using both care recipient and prefecture name as search keywords, and the column data retrieved using care recipient, prefecture name, and years of experience as search keywords (Steps 35, 37, and 40).

[0048] For each of the 44 support items, the percentage of support provided is calculated as "number of ○s / number of extracted column data" × 100 (%) (steps 36, 38, 41). This numerically represents whether each of the 44 support items was planned and implemented by many care managers for care recipients with the care recipient attributes entered in the care recipient attribute input field 53B of the prefecture name and care recipient attribute input screen 53 (hereinafter referred to as national statistics). In addition, similar numerical values ​​are calculated when the target is narrowed by the prefecture entered in the prefecture name input field 53A of the prefecture name and care recipient attribute input screen 53 (hereinafter referred to as all-generation statistics), and similar numerical values ​​are calculated when the target is further narrowed by the care manager's years of experience (hereinafter referred to as generational statistics).

[0049] For example, if, in the multiple columns of data that have been read (extracted), all columns of data for the support item "Support for understanding disease management" are marked with a circle (indicating that the support item was provided to the person requiring care), the value calculated in steps 36, 38, and 41 will be 100%. If half of the columns of data that have been read are marked with a circle, the value calculated will be 50%.

[0050] Figure 8 shows the analysis screen 51, which includes the values ​​calculated in steps 36, 38, and 41, respectively.

[0051] The analysis screen 51 displays the entered attributes of the care recipient (search criteria), along with the values ​​calculated in steps 36, 38, and 41. This shows the national percentage of care recipients with the specific (searched) attributes who are provided with each of the 44 support items, the percentage in a specific prefecture (all generations), and the percentage by generation within that specific prefecture (Step 43 in Figure 6). If necessary, the 44 support items can be sorted in descending order of the discrepancy between the national statistics and the all-generation statistics (Step 42).

[0052] For example, regarding "confirming the risk and history of falls and fractures," it can be seen that the support record of care managers with "20 years or more" of experience in AA prefecture (32%) is lower than the national average (78%). Also, regarding "support for understanding communication status," the overall statistics for AA prefecture (46%) are lower than the national average (78%), and it can be seen that the support record is particularly low among care managers with "3-5 years" and "5-10 years" of experience. Furthermore, regarding "prediction of risks for oral cavity and swallowing function," it can be seen that the overall statistics for AA prefecture (50%) are lower than the national average (80%), regardless of the care manager's years of experience. If there is a support item where the overall statistics are significantly lower than the national average, it is highly likely that many care managers in that specific region (the entered prefecture) are overlooking that support item in their planning, and as a result, support is not being provided. This makes it possible to visualize the oversight of support items in specific regions (prefectures).

[0053] Furthermore, since statistics are calculated by generation, it becomes possible to visualize generations that are overlooking support items. This can be useful in considering measures such as reviewing training systems.

[0054] As shown in Figure 9, only the five support items with a large discrepancy between national statistics and statistics for all generations may be displayed on the analysis screen 52.

[0055] Analysis results may be displayed on analysis screens 51 and 52.

[0056] The content of the analysis results may differ depending on whether the region that deviates from national statistics is (A) a prefecture or (B) a municipality. Specifically, if the region that deviates from national statistics is (A) a prefecture, if there is a deviation of a certain amount or more for a specific support item, it may be stated as "There is a possibility that there was a omission in the training items for the support item in the region in question." If there is a deviation of a certain amount or more for care managers in a specific year, it may be stated as "There is a possibility that there was a omission in the training items for care managers in that specific year in question for the specific support item in question." If the region that deviates from national statistics is (B) a municipality, if there is a deviation of a certain amount or more for a specific support item, it may be stated as "There is a possibility that the service cannot be provided for the specific support item in question due to the absence of a service provider."

[0057] Figures 10 to 12 show other embodiments, with Figures 10 and 11 being flowcharts of the processing flow of the analysis system 10. Figure 12 shows the analysis screen 54 in another embodiment.

[0058] Referring to Figures 10 and 11, for all combinations of care recipient attributes associated with the care recipient ID included in the column data registered in the support implementation status database 14 (steps 61-68), national and prefectural statistics are calculated for each of the 44 support items, as described above (steps 70, 71-73). Support items with a discrepancy of 30% or more are recorded along with their combination of care recipient attributes (step 74). For age, for example, a range of 5-year increments may be used.

[0059] Referring to Figure 12, the analysis screen 54 displays pairs of care recipient attributes and support items where there is a large difference between the national statistics and the implementation rate in a specific region (prefecture). A summary is also displayed. The summary allows for the derivation of trends (for example, a large difference between the national statistics and the national statistics regarding support for elderly people living alone aged 80-85 in the prefecture in that prefecture). Trends in support items can be derived simply by aggregating the data (for example, a lack of support for early detection of oral abnormalities and securing opportunities for dental visits). [Explanation of symbols]

[0060] 10 Analysis Systems 11. Regional Analysis Device for the Status of Support for Persons Requiring Long-Term Care 12 Care Manager Database 13. Database of people requiring long-term care 14. Database of Support Implementation Status 20 Terminal devices

Claims

1. A support worker / care recipient / support item database in which multiple records are stored that are linked to each other, including the attributes of the care recipient, multiple support items, one or more support items implemented or planned for implementation for the care recipient, and at least the residential area of ​​the support worker who planned the support item. A means for inputting the attributes of a person requiring care. A means for inputting a specific region. A first search means for searching the support worker / care recipient / support item database for a first record having the attributes of a care recipient entered by the above care recipient attribute input means. A second search means for searching the above-mentioned support worker / care recipient / support item database for a second record that has the care recipient attributes entered by the above-mentioned care recipient attribute input means and includes the specific region entered by the region input means as the support worker's residential area. A performance calculation means that calculates the percentage of support provided for each of the above support items using the first and second records found by the first and second search means, respectively, and The system includes a display means for displaying the implementation rate for each support item calculated by the performance calculation means using the first record and the second record, respectively. A system for analyzing the status of support for elderly people requiring long-term care, broken down by region.

2. The above database of support staff / care recipients / support items contains multiple records, including the support staff's years of experience. The above performance calculation means is The percentage of support provided, calculated using the second record described above, is then calculated for each year of experience or for each predetermined range of years of experience. The regional care recipient support status analysis system according to claim 1.

3. The system includes a support worker / care recipient / support item database in which multiple records are linked together, each containing the attributes of the care recipient, multiple support items, one or more support items implemented or planned for implementation for the care recipient, and at least the residential area of ​​the support worker who planned the support item. The system accepts input of the attributes of the person requiring care from the person requiring care attribute input means. The system accepts input for a specific region from the regional input method. The first search means searches the support worker / care recipient / support item database for a first record having the above-entered attributes of a care recipient, The second search means searches the support worker / care recipient / support item database for a second record that has the above-entered attributes of a care recipient and whose residential area includes the above-entered specific area. The implementation rate calculation method uses the first and second records found through the search to calculate the percentage of support provided for each of the above support items. The display means shows the implementation rate for each support item calculated using the first record and the second record, respectively. Methods for analyzing the status of support for elderly people requiring long-term care by region.

4. A program that causes a computer to perform the regional analysis of support status for persons requiring long-term care as described in claim 3.

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