The contribution of community health systems to resilience: Case study of the response to the drought in Ethiopia
JOURNAL OF GLOBAL HEALTH(2022)
Abstract
Background Ethiopia's exposure to the El Nino drought (2015-2016) resulted in high malnutrition, internally displaced people, and epidemics of communicable diseases, all of which strained the health system. The drought was especially challenging for mothers and children. We aimed to identify salient factors that can improve health system resilience by exploring the successes and challenges experienced by a community-based health system during the drought response. Methods We collected data via key informant interviews and focus group discussions to capture diverse perspectives across the health system (eg, international, national, district, facility, and community perspectives). Data were collected from communities in drought-affected regions of: 1) Somali, Sitti Zone, 2) Hawassa, Southern Nations, Nationalities, and Peoples' Region (SNNPR), and 3) Tigray, Eastern Zone. Data were analysed using a deductive-inductive approach using thematic content analysis applied to a conceptual framework. Results A total of 94 participants were included (71 from the communities and 23 from other levels). Key themes included the importance of: 1) organized community groups linked to the health system, 2) an effective community health workforce within strong health systems, 3) adaptable human resource structures and service delivery models, 4) training and preparedness, and 5) strong government leadership with decentralized decision making. Conclusions The results of this study provide insights from across the health system into the successes and challenges of building resilience in community-based health systems in Ethiopia during the drought. As climate change exacerbates extreme weather events, further research is needed to understand the determinants of building resilience from a variety of shocks in multiple contexts, especially focusing on harnessing the power of communities as reservoirs of resilience.
MoreTranslated text
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined