A Community Health Worker “logic model”: towards a theory of enhanced performance in low- and middle-income countries

This article published in Human Resources for Health (2014; 12:56  doi:10.1186/1478-4491-12-56) describes a generic logic model for community health worker (CHW) performance that posits that optimal CHW performance is a function of high quality CHW programming, which is reinforced, sustained, and brought to scale by robust, high-performing health and community systems, both of which mobilize inputs and put in place processes needed to fully achieve performance objectives. The article discusses the multiple contextual factors that influence CHW programming, system functioning, and CHW performance.

The value of this model is that it places CHW performance at the center of the discussion about how to strengthen CHW programming, reflecting the current evidence and experience about support for improving CHW performance. The model is also a practical tool that offers guidance for continuous learning about what works. Despite the model’s limitations and several challenges in translating the potential for learning into tangible learning, the CHW generic logic model provides a solid basis for exploring and testing a causal pathway to improved performance.
Generic CHW Logic Model
Report Author(s): 
Joseph F Naimoli | Diana E Frymus | Tana Wuliji | Lynne M Franco | Martha H Newsome
Organization(s): 
USAID and USAID Applying Science to Strengthen and Improve Systems Project
ASSIST publication: 
no
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