ArticleFrontiers in public health2022
Regional maldistribution of human resources of rehabilitation institutions in China Mainland based on spatial analysis.
Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- The Impact of the "Healthy China 2030" planning outline strategy on the development of China's medical and health resources-based on interrupted time series analysis from 1990 to 2023.Scientific reports · 2026Article
- Mapping the Availability of Rehabilitation Providers Using Public Licensure and Population Data for a Geographic Information System-Based Approach to Workforce Planning: Cross-Sectional Feasibility Study.JMIR formative research · 2025Article
- Study on the spatial and temporal differences and influencing factors of out-of-pocket payments as a share of total health expenditure in China.BMC health services research · 2025Article
- Understanding facilitators and barriers to adherence in home-based pulmonary rehabilitation for chronic obstructive pulmonary disease patients using the Health Belief Model: a qualitative study.Frontiers in public health · 2025Article
- Spatial distribution and influencing factors of CDC health resources in China: a study based on panel data from 2016-2021.Frontiers in public health · 2024Article
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4 authors.
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Abstract
Objective: With the demand for rehabilitation has been increasing faster for the aging of China's population, the equity of rehabilitation resource has aroused great concern. This study aimed to analyze the spatial distribution and evolution of the human resources of rehabilitation institutions and propose targeted countermeasures and suggestions to promote optimal allocation. Methods: A total of 31 provinces in China Mainland were identified and geocoded. The spatial weight matrix was introduced to analyze the spatial correlation. Spatial autocorrelation analysis and tests were used to analyze the spatial distribution and evolution characteristics of rehabilitation institutions' human resources in China from 2016 to 2019. Results: The average density of rehabilitation staff from 2016 to 2019 has been rising yearly (From 1.60 to 1.88). From 2018 to 2019, the proportion of rehabilitation professionals was higher than 75% in only 5 provinces, and no provinces met 75% from 2016 to 2017. Global Moran's I index from 2016 to 2019 showed no apparent aggregation phenomenon in the allocation of management personnel resources ( Conclusions: Although the overall spatial distribution gap of human resource allocation of rehabilitation institutions is shrinking, there are still internal structural defects and a maldistribution at the provincial level. It is necessary to improve the overall number of staff in rehabilitation institutions and to ameliorate the proportion of different types of staffing.
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