Developing a district level supportive supervision framework for community health workers through co-production in South Africa

在南非通过共同参与的方式,为社区卫生工作者制定区级支持性督导框架

阅读:2

Abstract

BACKGROUND: One of the key challenges of community health worker (CHW) programmes across the globe is inadequate supervision. Evidence on effective approaches to CHW supervision is limited and intervention research has up to now focused primarily on outcomes and less on intervention development processes. This paper reports on participatory and iterative research on the supervision of CHWs, conducted in several phases and culminating in a co-produced district level supportive supervision framework for Ward Based Outreach Teams in a South African district. METHODS: Drawing on a conceptual framework of domains of co-production, the paper reflects on the implications of the research process adopted for participants, generation of research knowledge and recommendations for practice, as well as lessons for research on the supervision of CHWs. RESULTS: Through the research process, participants reflected and engaged meaningfully, honestly and productively across hierarchies, and were able to forge new, dialogic relationships. The iterative, back forth feedback, involving a core group of participants across phases, enabled additions and validations, and informed further data collection. The culmination of the process was consensus on the key issues facing the programme and the generation of a set of recommendations for a local, context-specific framework of supportive supervision. The process of engagement, relationships built and consensus forged proved to be more significant than the framework itself. CONCLUSION: The co-production approach can enable local impact of research findings by providing a bottom-up collaborative platform of active participation, iterative feedback, knowledge generation and mutual learning that can complement guidance and frameworks from above. Although time consuming and not without its limitations, this approach to research has much to offer in advancing understanding of CHW supervision.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。