Local resident doctor-seeing accessibility calculation method considering doctor-seeing mobility

Abstract

The invention discloses a local resident doctor-seeing accessibility calculation method considering doctor-seeing mobility. And determining that the geographic space elements for calculating the reachability of the medical resources are three-level hospital positions, community positions and a travel mode for connecting the two positions. The number of medical staff of the third-level hospitals is obtained, and the cross-city doctor seeing population proportion of the third-level hospitals is obtained; obtaining the number of resident population of each community; five common travel modes including public transportation, private cars, taxis, bicycles and walking are mixed into a multi-mode transportation mode. Determining the number of medical staff of actual service local residents according to the cross-city doctor seeing population proportion of each third-level hospital; and according to the population sharing rates of the five trip modes under different distances, determining the number of trips of each community under different trip modes. And calculating and considering the medical-seeing mobility and the medical-seeing accessibility of the multi-mode traffic mode by using the corrected third-level hospital supply capability, the number of people who travel in different travel modes in the community and different distance attenuation functions of the travel modes. The method can scientifically and accurately determine the reachability of the local residents to obtain the medical resources, and provides a basis for the distribution and adjustment of the medical resources in the later period.

Description

Technical Field

[0001] This invention relates to a method for calculating the accessibility of medical care for local residents that takes into account the mobility of medical visits, and belongs to the field of urban transportation and medical resource allocation. Background Technology

[0002] In urban planning and the allocation of medical resources, accurately assessing residents' accessibility to medical care is crucial. However, existing assessment methods often fail to comprehensively consider factors such as the medical resources of tertiary hospitals, residents' travel patterns, and cross-city medical treatment, resulting in an inaccurate reflection of actual accessibility to medical care.

[0003] Due to the uneven distribution of medical resources among cities, cross-city medical treatment is becoming increasingly common. This changes the actual supply capacity of local medical resources, thus affecting the accessibility of medical care for local residents. For example, tertiary hospitals may attract a large number of patients from surrounding cities or even further afield, resulting in longer waiting times and more strained medical resources for local residents.

[0004] Accessibility refers to the ease with which one can travel from one place to another, primarily influenced by four factors: transportation systems, land use, time conditions, and individual characteristics. When evaluating the spatial allocation of various resources, accessibility is a crucial indicator for effectively assessing resource availability. Calculating the accessibility of medical resources requires considering the supply capacity of medical service facilities, the distribution of the population requiring medical services, and the transportation infrastructure connecting the supply facilities with the demanding population. Accessibility largely reflects the spatial accessibility of resources from the point of demand; that is, the higher the accessibility of medical services, the easier it is for residents to obtain medical resources.

[0005] In assessing cross-city accessibility to medical care, current research primarily focuses on patients seeking medical care across cities or intercity transportation, aiming to address the issues faced by these patients. However, there is limited research on the impact of cross-city medical visits on local residents' access to healthcare. Furthermore, current studies on healthcare accessibility often employ the same mode of transportation across different travel distances, lacking accuracy. Summary of the Invention

[0006] To address the aforementioned problems, this invention provides a method for calculating the accessibility of medical resources for local residents, taking into account the mobility of medical visits and various transportation modes. This method calculates scientific and accurate accessibility results, thus providing a reliable basis for the rational planning and allocation of urban medical resources and the optimization of transportation infrastructure.

[0007] To achieve the above objectives, the present invention provides a method for calculating the accessibility of medical care for local residents that takes into account the mobility of medical patients. The method includes:

[0008] Determine the spatial location of each element for accessibility calculation, including the location of the tertiary hospital, the location of the residential community, and five modes of transportation; calculate the distance decay function for each mode of transportation; identify the maximum time threshold that each mode of transportation can reach; and filter the residential communities within the service area of ​​the tertiary hospital.

[0009] The number of medical staff in tertiary hospitals and the proportion of people seeking medical treatment across cities are obtained to calculate the actual supply capacity of tertiary hospitals; the accessibility of medical treatment is calculated considering the mobility of patients and multiple modes of transportation to determine the level of medical services provided by each tertiary hospital to local residents.

[0010] Furthermore, this will determine the spatial location of each element for calculating accessibility, including the location of the tertiary hospital, the location of the residential area, and five modes of transportation, and calculate the distance decay function for each mode of transportation, specifically including:

[0011] By using the electronic map database, the geographical latitude and longitude coordinates of tertiary hospitals and residential communities can be obtained;

[0012] Five modes of transportation are classified, including public transportation, private cars, taxis, cycling, and walking, and the modal share of each mode of transportation at different distances is obtained.

[0013] Based on the spatial location of each tertiary hospital and residential community, the distance attenuation function of each travel mode is calculated under five modes of transportation.

[0014] Furthermore, the spatial locations of tertiary hospitals and residential communities are analyzed under five different modes of transportation, and the distance attenuation function for each mode of travel is calculated, specifically including:

[0015] Using the latitude and longitude coordinates and map data of the tertiary hospital and the community, all possible travel routes from the community to the tertiary hospital are constructed in GIS, including information such as road connectivity, distance, and road conditions;

[0016] The model was built to determine the travel attenuation function of different modes of travel as distance increases;

[0017] Establish accurate actual travel routes.

[0018] Furthermore, the model will determine the travel attenuation function of different travel modes as distance increases, and the calculation function expression is as shown in equation (1), specifically including:

[0019]

[0020] In the formula The distance decay function from residential area k to hospital j under travel mode m, calculated based on the Gaussian equation. This represents the actual time taken to travel from apartment i to the tertiary hospital under travel mode m. It is the time threshold for travel mode m.

[0021] Furthermore, the system will obtain the number of medical staff in tertiary hospitals and the proportion of people seeking medical treatment across cities to calculate the actual supply capacity of the hospitals, specifically including:

[0022] Collect data on the number of medical staff in the hospital, and determine the proportion of cross-city patients to the total number of patients through relevant statistical data;

[0023] Furthermore, based on the proportion of cross-city medical patients and the number of medical staff in tertiary hospitals, the actual supply capacity of hospitals will be calculated. The calculation function expression is shown in equation (2), which specifically includes:

[0024] S′ j =(1-P j )S j (2)

[0025] In the formula S' j Supply capacity is represented by the number of medical staff in tertiary hospitals; S j This indicates the number of medical staff in tertiary hospitals before the correction; P j This indicates the proportion of non-local residents seeking medical treatment at tertiary hospitals.

[0026] Furthermore, this will identify the maximum travel time thresholds for various modes of transportation and filter the residential areas within the service area of ​​the tertiary hospital, specifically including:

[0027] Starting from the location of the residential community, the maximum service range of the aforementioned travel mode is used to determine the area of ​​the community that it can cover, and the number of travelers at different distances for each travel mode is calculated.

[0028] Furthermore, the maximum service range of each travel mode is determined to cover the corresponding residential area, and the number of travelers for each mode at different distances is calculated, specifically including:

[0029] The number of residents in the community can be obtained by matching the community with latitude and longitude coordinates.

[0030] By utilizing the modal share of each mode of transportation at different distances, the number of passengers traveling by each mode of transportation at different distances can be calculated.

[0031] Furthermore, the accessibility of medical care will be calculated by considering the mobility of patients and multimodal transportation to determine the level of medical services provided by each tertiary hospital to local residents. The accessibility calculation formula is (3)-(5), which specifically includes:

[0032]

[0033] In the formula R jThe supply-demand ratio of tertiary hospital J after correction; P k Let K be the number of people in the k-th neighborhood. A represents the modal share of mode m for a travel distance from k to j; i For the i-th residential community, the accessibility of local residents to tertiary hospitals under various transportation modes for patients seeking medical treatment across cities is considered, with the unit being the number of medical staff per thousand people; This represents the travel time from hospital l to residential area i under travel mode m; This represents the maximum travel time under travel mode m; This represents the travel impedance under travel mode m.

[0034] The beneficial effects of this invention are:

[0035] This method comprehensively considers multiple factors affecting accessibility to medical care, and is more accurate and scientific than traditional methods, providing a reliable basis for the rational allocation of urban medical resources.

[0036] Secondly, by accurately calculating the medical treatment situation under different modes of travel, it can help urban transportation planning departments optimize transportation facilities, such as setting up bus stops, planning bicycle lanes, and adjusting parking lot layouts, thereby improving the convenience of residents' medical treatment.

[0037] Finally, it helps government departments and medical institutions understand the distribution of medical needs in the region, make advance preparations for the reserve and allocation of medical resources, and respond to sudden medical events. Attached Figure Description

[0038] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this invention, illustrate exemplary embodiments of the invention and are used to explain the invention, but do not constitute an undue limitation of the invention. In the drawings:

[0039] Figure 1 This is a flowchart of a method for calculating the accessibility of local residents to medical care, taking into account the mobility of medical visits, according to the first embodiment of the present invention.

[0040] Figure 2 This is a spatial distribution map of the residential area and hospital according to the first embodiment of the present invention.

[0041] Figure 3 This is a partial latitude and longitude information table of a residential area according to the first embodiment of the present invention.

[0042] Figure 4 This is a table of latitude and longitude information, number of medical staff, and proportion of cross-city patients for some hospitals in the first embodiment of the present invention.

[0043] Figure 5 This represents the modal share of each mode of transportation at different distances according to the first embodiment of the present invention.

[0044] Figure 6 This is a distribution map showing the accessibility of tertiary hospitals for local residents according to the first embodiment of the present invention. Detailed Implementation

[0045] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0046] Figure 1 This is a flowchart of a method for calculating the accessibility of medical care for local residents, taking into account the mobility of medical visits, according to the first embodiment of this application. The method includes the following steps:

[0047] Step 1: Determine the spatial location of each element for accessibility calculation, including the location of the tertiary hospital, the location of the residential area, and the five modes of transportation, and calculate the distance decay function for each mode of transportation;

[0048] Step 2: Confirm the maximum travel time threshold for each mode of transportation, filter the communities within the service area of ​​the tertiary hospital, and calculate the population under each mode of transportation;

[0049] Step 3: Obtain the number of medical staff in tertiary hospitals and the proportion of people seeking medical treatment across cities, and calculate the actual supply capacity of hospitals;

[0050] Step 4: Calculate the accessibility of medical care by taking into account the mobility of patients and multimodal transportation to determine the level of medical services provided by each tertiary hospital to local residents.

[0051] The first embodiment of this application provides a method for calculating the accessibility of medical resources for local residents, taking into account the mobility of medical visits and various transportation modes. This method can calculate scientific and accurate accessibility results, thereby providing a reliable basis for the rational planning and allocation of urban medical resources and the optimization of transportation infrastructure.

[0052] Step 1: Determine the elements of reachability calculation;

[0053] (1-1) Location determination of tertiary hospitals: Using a GIS system, the precise latitude and longitude coordinates of tertiary hospitals are obtained. The coordinate information of tertiary hospitals is matched with the city map to determine the specific geographical location of tertiary hospitals in the city.

[0054] (1-2) Location determination of the community: The center coordinates of the community are located with the help of a GIS system.

[0055] (1-3) Determining the mode of travel: Clearly define the modes of travel as public transportation, private cars, taxis, bicycles, and walking.

[0056] (1-4) Calculate the distance decay function for each travel mode: Based on a large amount of resident travel survey data, the distance decay function for each travel mode is calculated. The expression of the calculation function is shown in equation (1):

[0057]

[0058] In the formula The distance decay function from residential area k to hospital j under travel mode m, calculated based on the Gaussian equation. This represents the actual time taken to travel from apartment i to the tertiary hospital under travel mode m. It is the time threshold for travel mode m.

[0059] (1-5) Determine the road network from the residential area to the tertiary hospital: Utilize professional electronic map data to obtain road network information, including road grade, width, and direction of travel. Combine this with traffic flow data and apply a distance attenuation function to weight the road network to more accurately reflect actual travel routes.

[0060] Step 2: Confirm the maximum travel time threshold for each mode of transportation, filter the communities within the service area of ​​the tertiary hospital, and calculate the population under each mode of transportation;

[0061] (2-1) Confirm the maximum travel time threshold for each mode of transportation: Confirm the maximum travel time threshold for each of the five modes of transportation: public transportation, private cars, taxis, bicycles, and walking.

[0062] (2-2) Screening of communities within the service area of ​​tertiary hospitals:

[0063] Based on the maximum travel time thresholds for various modes of transportation, the buffer analysis function of GIS is used to determine the residential areas within the service radius.

[0064] (2-3) Calculate the population under each mode of transportation: Collect traffic flow data to obtain the modal share of different modes of transportation at different distances. Obtain the number of residents in each community from (2-2). The number of travelers under each mode of transportation at different distances = the number of residents in the community × the modal share of each mode of transportation at the corresponding distance, and calculate the specific number of travelers.

[0065] Step 3: Obtain the number of medical staff in tertiary hospitals and the proportion of people seeking medical treatment across cities, and calculate the actual supply capacity of tertiary hospitals.

[0066] (3-1) Obtain the number of medical staff in tertiary hospitals: Connect with the information systems of tertiary hospitals to obtain the number of medical staff. Obtain the proportion of cross-city patients seeking medical treatment at each tertiary hospital through network data.

[0067] (3-2) Proportion of patients seeking medical treatment across cities: The proportion of patients seeking medical treatment across cities in each tertiary hospital was obtained through online data.

[0068] (3-3) Actual supply capacity of tertiary hospitals: Based on the proportion of cross-city medical patients and the number of medical staff in tertiary hospitals, the actual supply capacity of hospitals is calculated. The calculation function expression is shown in equation (2):

[0069] S′ j =(1-P j )S j (2)

[0070] In the formula S' j Supply capacity is represented by the number of medical staff in tertiary hospitals; S j This indicates the number of medical staff in tertiary hospitals before the correction; P j This indicates the proportion of non-local residents seeking medical treatment at tertiary hospitals.

[0071] Step 4: Calculate the accessibility of medical care by taking into account the mobility of patients and multimodal transportation to determine the level of medical services provided by each tertiary hospital to local residents;

[0072] (4-1) Using the corrected number of medical staff as the supply capacity, and based on the population of all communities that each tertiary hospital can serve under the five modes of transportation, the supply-demand ratio of medical resources for each tertiary hospital is obtained, and the calculation function is shown in equations (3)-(4):

[0073]

[0074] In the formula R j The supply-demand ratio of tertiary hospital J after correction; P k Let K be the number of people in the k-th neighborhood. This represents the modal share of mode of transport m for a travel distance from k to j.

[0075] (4-2) Starting from the community, search for all tertiary hospitals reachable by the five modes of transportation, and sum their supply-demand ratios. Using a distance decay function for weighted processing, obtain the accessibility of medical resources for each community. The calculation function is shown in equation (5):

[0076]

[0077] In the formula A i For the i-th residential community, the accessibility of local residents to tertiary hospitals under various transportation modes for patients seeking medical treatment across cities is considered, with the unit being the number of medical staff per thousand people. This represents the travel time from hospital l to residential area i under travel mode m; This represents the maximum travel time under travel mode m; This represents the travel impedance under travel mode m.

[0078] (4-3) Statistics on the accessibility of medical resources in each community: Based on the accessibility results, the distribution of low, relatively low, medium, relatively high, and high accessibility was determined according to the 25th, 50th, and 75th percentiles. The statistical results are as follows: Figure 6 As shown. Classification using the quantile method has high objectivity and is not affected by the minimum and maximum values ​​in the data.

Claims

1. A method for calculating the accessibility of medical care for local residents that considers the mobility of medical patients, characterized in that, Includes the following steps: Determine the spatial location of each element for accessibility calculation, including the location of the tertiary hospital, the location of the residential area, and five modes of transportation, and calculate the distance decay function for each mode of transportation; Confirm the maximum travel time thresholds for various modes of transportation and filter the communities within the service area of ​​tertiary hospitals; Obtain the number of medical staff in tertiary hospitals and the proportion of people seeking medical treatment across cities, and calculate the actual supply capacity of tertiary hospitals; The calculation takes into account the mobility of patients and the accessibility of medical care using multiple modes of transportation to determine the level of medical services provided by each tertiary hospital to local residents.

2. The method for calculating medical accessibility according to claim 1, characterized in that: The spatial location of each element used to determine accessibility calculation includes the location of a tertiary hospital, the location of the residential area, and five modes of transportation, specifically including: By using the electronic map database, the geographical latitude and longitude coordinates of tertiary hospitals and residential communities can be obtained; Five modes of transportation are classified, including public transportation, private cars, taxis, cycling, and walking, and the modal share of each mode of transportation at different distances is obtained. Based on the spatial location of each tertiary hospital and residential community, the distance attenuation function of each travel mode is calculated under five modes of transportation.

3. The method for calculating medical accessibility according to claim 2, characterized in that: The process involves determining the travel attenuation function of different travel modes as distance increases through model construction. The calculation function expression is shown in equation (1), and specifically includes: In the formula The distance decay function from residential area k to hospital j under travel mode m, calculated based on the Gaussian equation. This represents the actual time taken to travel from apartment i to the tertiary hospital under travel mode m. It is the time threshold for travel mode m.

4. The method for calculating medical accessibility according to claim 1, characterized in that: The process of obtaining the number of medical staff in tertiary hospitals and the proportion of people seeking medical treatment across cities to calculate the actual supply capacity of hospitals specifically includes: Collect data on the number of medical staff in tertiary hospitals, and determine the proportion of people seeking medical treatment across cities to the total number of people seeking medical treatment through relevant statistical data; The actual supply capacity of hospitals is calculated based on the proportion of people seeking medical treatment across cities and the number of medical staff in tertiary hospitals themselves.

5. The actual supply capacity of the hospital according to claim 4, characterized in that: The actual supply capacity of the hospital is calculated based on the proportion of cross-city medical patients and the number of medical staff in the tertiary hospital itself. The calculation function expression is shown in equation (2), which specifically includes: S′ j =(1-P j )S j (2) In the formula S' j Supply capacity is represented by the number of medical staff in tertiary hospitals; S j This indicates the number of medical staff in tertiary hospitals before the correction; P j This indicates the proportion of non-local residents seeking medical treatment at tertiary hospitals.

6. The method for calculating medical accessibility according to claim 1, characterized in that: The process of confirming the maximum travel time thresholds for various modes of transportation and filtering communities within the service area of ​​tertiary hospitals specifically includes: Starting from the location of the residential community, the maximum service range of the aforementioned travel mode is used to determine the range of communities it can cover, and the number of travelers at different distances for each travel mode is calculated.

7. The method for calculating medical accessibility according to claim 1, characterized in that: The maximum service range of each travel mode determines the area of ​​the residential communities it can cover, and the number of travelers for each travel mode at different distances is calculated, specifically including: The number of residents in a community is obtained by matching the community with latitude and longitude coordinates; By utilizing the modal share of each mode of transportation at different distances, the number of passengers traveling by each mode of transportation at different distances can be calculated.

8. According to claim 1, the accessibility of medical care is calculated by considering the mobility of patients and multimodal transportation to determine the level of medical services provided by each tertiary hospital to local residents. The accessibility calculation formula is (3)-(5), specifically including: In the formula R j The supply-demand ratio of tertiary hospital J after correction; P k Let K be the number of people in the k-th neighborhood. A represents the modal share of mode m for a travel distance from k to j; i For the i-th residential community, the accessibility of local residents to tertiary hospitals under various transportation modes for patients seeking medical treatment across cities is considered, with the unit being the number of medical staff per thousand people; This represents the travel time from hospital l to residential area i under travel mode m; This represents the maximum travel time under travel mode m; This represents the travel impedance under travel mode m.

Images