A retrospective review of the Honduras AIN-C program guided by a community health worker performance logic model. Issue 1 (December 2016)

• Record Type: Journal Article
• Authors: Rodríguez, Daniela; Peterson, Lauren
• Is Part Of: Human resources for health. Volume 14:Issue 1(2015)
• Page Start: 1
• Page End: 11
• Publication Date: 2016-12
• Subjects: Community health workers -- Performance -- Community-based program -- Malnutrition -- Honduras; Health services administration -- Periodicals; 362.1068
• DOI: 10.1186/s12960-016-0115-x
• Languages: English
• ISSNs: 1478-4491

Abstract

Abstract Background Factors that influence performance of community health workers (CHWs) delivering health services are not well understood. A recent logic model proposed categories of support from both health sector and communities that influence CHW performance and program outcomes. This logic model has been used to review a growth monitoring program delivered by CHWs in Honduras, known asAtención Integral a la Niñez en la Comunidad (AIN-C). Methods A retrospective review of AIN-C was conducted through a document desk review and supplemented with in-depth interviews. Documents were systematically coded using the categories from the logic model, and gaps were addressed through interviews. Authors reviewed coded data for each category to analyze program details and outcomes as well as identify potential issues and gaps in the logic model. Results Categories from the logic model were inconsistently represented, with more information available for health sector than community. Context and input activities were not well documented. Information on health sector systems-level activities was available for governance but limited for other categories, while not much was found for community systems-level activities. Most available information focused on program-level activities with substantial data on technical support. Output, outcome, and impact data were drawn from various resources and suggest mixed results of AIN-C on indicators of interest. Conclusions Assessing CHW performance through a desk review left gaps that could not be addressed about the relationship of activities and performance. There were critical characteristics of program design that made it contextually appropriate; however, it was difficult to identify clear links between AIN-C and malnutrition indicators. Regarding the logic model, several categories were too broad (e.g., technical support, context) and some aspects of AIN-C did not fit neatly in logic model categories (e.g., political commitment, equity, flexibility in implementation). The CHW performance logic model has potential as a tool for program planning and evaluation but would benefit from additional supporting tools and materials to facilitate and operationalize its use.