five

Rehabilitation workforce.

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://figshare.com/articles/dataset/Rehabilitation_workforce_/25147526
下载链接
链接失效反馈
官方服务:
资源简介:
Background and objective The need for rehabilitation is growing due to health and demographic trends, especially the rise of non-communicable diseases and the rapid ageing of the global population. However, the extent to which rehabilitation is integrated into health systems is mostly unclear. Our objective is to describe and compare the nature and extent of integration of rehabilitation within health systems across nine middle-income countries using available Systematic Assessment of Rehabilitation Situation (STARS) reports. Methods Cross-country comparative study with variable-oriented design using available rehabilitation health system assessment reports from nine middle income countries. Findings The integration of rehabilitation into health systems is limited across countries. Governance and financing for rehabilitation are mostly established within health ministries but weakly so, while health information systems are characterized by no available data or data that is insufficient or not routinely generated. The overall numbers of rehabilitation workforce per capita are low, with frequent reports of workforce challenges. In most countries the availability of longer-stay, high-intensity rehabilitation is extremely low, the availability of rehabilitation in tertiary hospitals is modest and in government supported primary care its almost non-existent. Multiple concerns about rehabilitation quality arose but the lack of empirical data hinders formal appraisal. Conclusion The study sheds light on the limited integration of rehabilitation in health systems and common areas of difficulty and challenge across nine middle income countries. All countries were found to have a basis on which to strengthen rehabilitation and there were often multiple areas within each health system building block that required action in order to improve the situation. Findings can inform governments, regional and global agencies to support future efforts to strengthen rehabilitation. Additionally, our study demonstrates the value of STARS reports for health policy and systems research and can serve as a model for further comparative studies.
创建时间:
2024-02-05
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作