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使用索赔数据库和地理信息系统分析家庭医疗保健地理可及性的差异:模拟研究

Analyzing Disparity in Geographical Accessibility to Home Medical Care Using a Claims Database and Geographical Information System: Simulation Study.

作者信息

Morii Yasuhiro, Nakanishi Yasuhiro, Nishioka Yuichi, Tsugihashi Yukio, Noda Tatsuya, Myojin Tomoya, Imamura Tomoaki, Akahane Manabu

机构信息

Center for Outcomes Research and Economic Evaluation for Health, National Institute of Public Health, Wako, Japan.

Department of Health and Welfare Services, National Institute of Public Health, 2-3-6 Minami, Wako, 351-0197, Japan, +81 484586347, +81 484687985.

出版信息

JMIR Aging. 2025 Aug 6;8:e70040. doi: 10.2196/70040.

Abstract

BACKGROUND

The demand for home medical care services has increased in aging societies. Therefore, allocating health care resources optimally to meet the needs of each community is essential. Geographical accessibility is an important factor affecting access to home medical care services; however, little research has been conducted on regional disparities in geographical accessibility.

OBJECTIVE

This study aims to analyze the regional disparities in geographical accessibility to home medical care services using the Kokuho database (KDB), a comprehensive medical claims database for a prefecture in Japan.

METHODS

This study included 39 municipalities in Nara Prefecture, Japan. Using a geographical information system, accessibility to home medical care services, that is, travel distance and time from hospitals and clinics to hypothetical patients, was analyzed in two scenarios: (1) an ideal scenario, where we assumed that all hospitals or clinics in Nara Prefecture provided those services and (2) an actual scenario, where hospitals or clinics in Nara Prefecture that actually provided home medical care services, identified from KDB data analysis, were used in the analysis. Hypothetical patients were randomly distributed on the geographical information system in accordance with the usage rates of home medical care services and with the distributions of the population aged ≥75 years. The usage rate by municipalities was aggregated from the analysis of KDB data of Nara Prefecture in FY2019.

RESULTS

The median travel distance was longer than 16 km, the reference limit value specified in the Japanese fee table, and the median travel time exceeded 30 min in certain rural municipalities in the southern part of Nara Prefecture, in the actual scenario, whereas the travel distance and time were improved in the ideal scenario. The differences in travel time between the ideal and actual scenarios were the largest in the depopulated municipalities in the southern part, such as Totsukawa (32.6 vs 5.8 min), Kawakami (30.1 vs 11.8 min), Kurotaki (21.3 vs 5.2 min), and Kamikitayama (20.7 vs 3.5 min). The usage rates were also lower in rural municipalities in the southern part.

CONCLUSIONS

The results revealed that geographical accessibility was lower in depopulated municipalities in the southern part, and the disparity could be partly solved in the ideal scenario, especially in that area, highlighting the necessity of increasing supply in the southern areas. KDB is a comprehensive database that includes medical claims information for home medical care patients and details of the provision of medical institutions, enabling geographical analysis that reflects actual health care usage.

摘要

背景

在老龄化社会中,对家庭医疗服务的需求有所增加。因此,优化配置医疗保健资源以满足每个社区的需求至关重要。地理可达性是影响家庭医疗服务获取的一个重要因素;然而,关于地理可达性的区域差异的研究却很少。

目的

本研究旨在利用日本某县的综合医疗索赔数据库——国保数据库(KDB),分析家庭医疗服务地理可达性的区域差异。

方法

本研究纳入了日本奈良县的39个市町村。使用地理信息系统,在两种情况下分析了家庭医疗服务的可达性,即从医院和诊所到假设患者的出行距离和时间:(1)理想情况,即假设奈良县的所有医院或诊所都提供这些服务;(2)实际情况,即根据KDB数据分析确定的奈良县实际提供家庭医疗服务的医院或诊所用于分析。假设患者根据家庭医疗服务的使用率和75岁及以上人口的分布随机分布在地理信息系统上。市町村的使用率是根据2019财年奈良县KDB数据的分析汇总得出的。

结果

在实际情况下,奈良县南部某些农村市町村的中位出行距离超过了日本收费表规定的参考限值16公里,中位出行时间超过了30分钟,而在理想情况下出行距离和时间有所改善。理想情况和实际情况之间出行时间的差异在南部人口减少的市町村最大,如十津川(32.6对5.8分钟)、川上(30.1对11.8分钟)、黑滝(21.3对5.2分钟)和上北山(20.7对3.5分钟)。南部农村市町村的使用率也较低。

结论

结果显示,南部人口减少的市町村地理可达性较低,在理想情况下这种差距可以部分得到解决,尤其是在该地区,这突出了增加南部地区供应的必要性。KDB是一个综合数据库,包含家庭医疗患者的医疗索赔信息和医疗机构的提供详情,能够进行反映实际医疗保健使用情况的地理分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c905/12327904/acef2c3820d0/aging-v8-e70040-g001.jpg

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