ArticleHealthcare (Basel, Switzerland)2022
Regional Variation in National Healthcare Expenditure and Health System Performance in Central Cities and Suburbs in Japan.
Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Urban veterinary accessibility and community well-being in Japan: a cross-sectional analysis using regional indicators.The Journal of veterinary medical science · 2026Article
- Nationwide trends in physician consultation and surgical management for pelvic organ prolapse in Japan, 2014 to 2024: a health insurance claims database analysis.AJOG global reports · 2026Article
- Rural and urban disparities in access and quality of healthcare in the Japanese healthcare system: a scoping review.BMC health services research · 2025Article
- A Classification Method for General Medicine Physicians to Advance Field Research in Japan.International journal of general medicine · 2025Article
- The distribution structure of medical and care resources based on regional characteristics throughout Japan in 2020.BMC health services research · 2024Article
- Geographic variation in inpatient medical expenditure among older adults aged 75 years and above in Japan: a three-level multilevel analysis of nationwide data.Frontiers in public health · 2024Article
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Authors and funding
2 authors.
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Abstract
The increasing national healthcare expenditure (NHE) with the aging rate is a significant social problem in Japan, and efficient distribution and use of NHE is an urgent issue. It is assumed that comparisons in subregions would be important to explore the regional variation in NHE and health system performance in targeted municipalities of the metropolitan area of Tokyo (central cities) and the neighboring municipalities of Chiba Prefecture (suburbs). This study aimed to clarify the differences of the socioeconomic factors affecting NHE and the health system performances between subregions. A multiple regression analysis was performed to extract the factors affecting the total medical expenses of NHE (Total), comprising the medical expenses of inpatients (MEI), medical expenses of outpatients (MEO), and consultation rates of inpatients (CRI) and outpatients (CRO). Using the stepwise method, dependent variables were selected from three categories: health service, socioeconomic, and lifestyle. Then, health system performance analysis was performed, and the differences between regions were clarified using the Mann-Whitney
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