1. Trends in the mobility of primary healthcare human resources in underdeveloped regions of western China from 2000 to 2021: Evidence from Nanning.
- Author
-
Xu, Xinyi, Huang, Jingyi, Zhao, Xiaoqian, Luo, Yumin, Wang, Linxuan, Ge, Yishan, Yu, Xingyin, and Zhu, Pinghua
- Subjects
- *
STATISTICAL correlation , *COMMUNITY health services , *MEDICAL personnel , *RESEARCH funding , *SECONDARY care (Medicine) , *FAMILY medicine , *PRIMARY health care , *LOGISTIC regression analysis , *SEX distribution , *LABOR mobility , *POPULATION geography , *DESCRIPTIVE statistics , *TERTIARY care , *HEALTH care reform , *RURAL health clinics , *RURAL conditions , *ECONOMIC impact , *GEOGRAPHIC information systems , *URBAN hospitals , *RESEARCH , *HEALTH facilities , *SOCIODEMOGRAPHIC factors , *DATA analysis software , *PSYCHOSOCIAL factors , *EDUCATIONAL attainment , *MANAGEMENT - Abstract
Objective: This research aimed to identify the fundamental and geographic characteristics of the primary healthcare personnel mobility in Nanning from 2000 to 2021 and clarify the determinants that affect their transition to non-primary healthcare institutions. Methods: Through utilizing the Primary Healthcare Personnel Database (PHPD) for 2000–2021, the study conducts descriptive statistical analysis on demographic, economic, and professional aspects of healthcare personnel mobility across healthcare reform phases. Geographic Information Systems (QGIS) were used to map mobility patterns, and R software was employed to calculate spatial autocorrelation (Moran's I). Logistic regression identified factors that influenced the transition to non-primary institutions. Results: Primary healthcare personnel mobility is divided into four phases: initial (2000–2008), turning point (2009–2011), rapid development (2012–2020), and decline (2021). The rapid development stage saw increased mobility with no spatial clustering in inflow and outflow. From 2016 to 2020, primary healthcare worker mobility reached its peak, in which the most significant movement occurred between township health centers and other institutions. Aside from their transition to primary medical institutions, the primary movement of grassroots health personnel predominantly directs towards secondary general hospitals, tertiary general hospitals, and secondary specialized hospitals. Since 2012, the number and mobility distance of primary healthcare workers have become noticeably larger and remained at a higher level from 2016 to 2020. The main migration of primary healthcare personnel occurred in their districts (counties). Key transition factors include gender, education, ethnicity, professional category, general practice registration, and administrative division. Conclusions: This study provides evidence of the features of primary healthcare personnel mobility in the less developed western regions of China, in which Nanning was taken as a case study. It uncovers the factors that impact the flow of primary healthcare personnel to non-primary healthcare institutions. These findings are helpful to policy refinement and support the retention of primary healthcare workers. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF