[논문]지역별 회복기 재활 의료서비스 필요도 결정요인 분석 연구

김정훈; 김희년; 최용석; 정형선

doi:10.4332/kjhpa.2023.33.1.40

지역별 회복기 재활 의료서비스 필요도 결정요인 분석 연구
A Study on the Determinants of Convalescent Rehabilitation Medical Service Needs at Regional Level 원문보기

Health policy and management = 보건행정학회지, v.33 no.1, 2023년, pp.40 - 54

김정훈 (연세대학교 일반대학원 보건행정학과) , 김희년 (한국보건사회연구원 보건정책연구실 보건의료연구센터) , 최용석 (국민건강보험공단 건강보험연구원 장기요양연구실 장기요양수요연구센터) , 정형선 (연세대학교 SWDH융합대학 보건행정학부)

Abstract ▼ AI-Helper

Background: Based on the increase in the needs for convalescent rehabilitation medical services in Korea, this study aims to calculate the needs for rehabilitation services and examine its determinants for 229 regions. Methods: Claim data from the Health Insurance Review and Assessment Service were used to estimate patients who need to receive rehabilitation services, and data from various sources were also used for analysis. The number of cases and incidence rates of hospitalization related to convalescent rehabilitation were calculated to estimate the needs for services by region, and the results were visualized via a map. Multivariate regression and fixed effects regression using panel data were performed to identify the determinants of regional variation of the incidence rate. Results: First, the incidence rate of rural areas such as Jeolla-do, Gyeongsang-do, and Chungcheong-do was higher than urban areas (metropolitan cities). Second, the population, proportion of the elder, medical aid recipients, financial independence, traffic deaths, smoking, diabetes rate, and medical infrastructure correlated significantly with the incidence rate. Third, 'rho' values which mean the fraction of variance due to individual terms in panel data regression models were 0.965 and 0.976, respectively. Conclusion: The incidence rate of hospitalizations was correlated with most independent variables in this study and there is a gap between urban and rural areas. These regional disparities are fixed in our society. An improved regional convalescent rehabilitation system is suggested to cover the entire area including rural areas with a high rate of aging.

주제어

표/그림 (12)

표 Table 1. Variables and source of data
표 Table 2. Target patient criteria
표 Table 3. Basic statistics on the mean (5 years) of independent variables by region
그림 Figure 1. Number of hospitalizations on the 5-year mean by region.
그림 Figure 2. Incidence rates of hospitalization on the 5-year mean by region.
표 Table 4. Number of hospitalizations on the 5-year mean by region
표 Table 5. Incidence rates of hospitalization on the 5-year mean by region
표 Table 6. Summary of regression analysis between Incidence rates of hospitalization and each independent variables
표 Table 7. Auto-correlation and Hausman test
그림 Figure 3. (A-D) Scatter plot between incidence rates of hospitalization and major independent variables. (Continued on next page).
그림 Figure 4. Coefficient plot. OLS, ordinary least squares; FE, fixed effects; AR, autoregressive.
표 Table 8. Summary of panel data regression analysis by each model

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