Predictors community health workers retention in proposal submitted to the department of Makueni county, Kenya
Kithuka, Peter Munyao
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Globally, the reported attrition rates of CHWs are between 3.2% and 77%, and these high rates are generally associated with volunteer CHWs. The success of such volunteer-based programs is often hampered because of high dropout rates. Those volunteers dropping out of such programs reduce the stability of the programs and increase training costs, since it needs continuous replacement which makes the program difficult to manage. This study seeks to determine the predictors of retention among CHWs in selected sub-counties in Makueni County. The design of the study will be cross-sectional and will involve 292 CHWs. Data will be collected using face to face interviews, focus group discussions and key informant interviews. Analysis of data will involve quantitative and qualitative approaches. In qualitative analysis, content analysis will be undertaken to identify emerging themes using QSRlNvivo. Exploratory Factor Analysis will be applied to examine the construct validity of retention measurements. The extracted principle components will be tested for reliability using Cronbach alpha statistics. Components with Cronbach alpha coefficient> 0.6 will be deemed adequate. In the multivariate analysis, binary logistic regression will be used to determine factors predictive of retention among CHWs. This study will generate information that will inform policy, programmatic and further research actions in addressing retention of CHWs in Kenya and beyond.