ArticleBMC musculoskeletal disorders2023
The inter-prefectural regional disparity of healthcare resources and representative surgical procedures in orthopaedics and general surgery: a nationwide study in Japan during 2015-2019.
Article in BMC musculoskeletal disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
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- Trends, demographic patterns, and regional disparities in gastrostomy: a nationwide population-based cohort study in Japan from 2014 to 2022.Surgery today · 2025Article
- Trends of shoulder arthroplasty and rotator cuff repair in Japan: national database analysis.JSES international · 2025Article
- Regional disparities in shoulder surgery related to distribution of specialists: national database analysis.JSES international · 2025Article
- Seasonal Variations and a Demographic Analysis of Digital Evacuation Incidence for Constipation Management: A Japanese Population-based Cohort Study.Internal medicine (Tokyo, Japan) · 2025Observational
- Rural and urban disparities in access and quality of healthcare in the Japanese healthcare system: a scoping review.BMC health services research · 2025Article
- Inter-prefectural and urban-rural regional disparities in rectal cancer and rectal resections: A Japanese nationwide population-based cohort study from 2014 to 2019.Annals of gastroenterological surgery · 2025Article
- Global trends and hotspots in artificial intelligence for high myopia: a bibliometric analysis.Frontiers in medicine · 2025Article
- Inter-prefectural and urban-rural regional disparities in lung cancer surgery: a Japanese nationwide population-based cohort study from 2017 to 2019.Surgery today · 2024Article
- Inter-prefectural regional disparities in gastric cancer surgery: A Japanese nationwide population-based cohort study from 2014 to 2019.Annals of gastroenterological surgery · 2024Article
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9 authors.
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Abstract
backgroundFew reports have examined the localized regional disparity in representative surgical procedures in orthopaedics and general surgery globally. This study aimed to clarify the inter-prefectural regional disparity and relationships between healthcare resources and representative surgical procedures using a nationwide database in Japan.
methodsThe number of medical specialists in orthopaedics, general surgery, and anaesthesiology, as well as the number of hospitals, and the incidence of representative surgical procedures in orthopaedics and general surgery were evaluated annually per 100,000 inhabitants/people by prefecture in Japan during 2015-2019. Medium-sized regional disparities were evaluated using the Gini coefficient. Correlation coefficients were calculated for the defined variables and ageing rate. We also compared the urban and rural regional disparities in all study variables.
resultsThe annual average number/incidence and Gini coefficients were 110.6 and 0.11 for femur fracture surgery, 106.3 and 0.09 for cholecystectomy, 14.2 and 0.11 for orthopaedic surgeon specialists, 17.6 and 0.09 for general surgeon specialists, 5.9 and 0.13 for anaesthesiology specialists, and 8.1 and 0.21 for hospitals, respectively. The correlation coefficients by the incidence of femur fracture surgery were 0.74 for orthopaedic surgeon specialists (p < 0.001), 0.63 for hospitals (p < 0.001), and 0.62 for the ageing rate (p < 0.001); those by the incidence of cholecystectomy were 0.60 for general surgeon specialists (p < 0.001) and 0.59 for hospitals (p < 0.001). The number/incidence of orthopaedic surgeon specialists, hospitals, femur fracture surgery, and cholecystectomy, as well as the ageing rate, were significantly higher in rural prefectures than in urban prefectures (p < 0.05).
conclusionsInter-prefectural regional disparity was small, although certain items were unevenly distributed in the rural prefectures, which is contrary to our expectations. Higher prevalence was recognised in rural prefectures due to the higher ageing rate; however, supply and demand are balanced. This study provides basic data for healthcare policy development in a medium-sized community. LEVEL OF EVIDENCE: III.
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