Predictive validity of Living Goods selection tools for community health workers in Kenya: cohort study

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Introduction: Digitally-empowered community health workers (CHWs) can effectively address preventable disease. To achieve impact, digital CHW programme design needs to consider selection criteria of CHWs including knowledge, skills and attributes like time-management, respect and diligence. In eight local areas in Kenya, Living Goods conducted a cohort study of 546 CHWs. This session will present and discuss the results and implications in CHW programme design to ensure robust human resources for community health. Methods: Data on the selection scores, pre and post-training assessment scores and subsequent on-the-job performance was collected. Kendall’s tau-b correlations between each selection score and performance outcome were calculated. Results: Though not statistically significant, there was a small negative correlation (tau-b = -0.04, p=0.25, p = 0.02) between total scores in the written and interview components. There was a range of post-training assessment scores and all indicators for on-the-job performance had positively skewed distributions. 94% (n=515) had registered at least one household or pregnancy in the first 4 to 6 months while 86% (n=469) had undertaken at least a child assessment. Although relatively low, all correlations between sales and health activity were positive and statistically significant at p 
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GDHF92365
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Living Goods
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Living Goods

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