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Improving Community Health Worker performance by using a personalised feedback dashboard for supervision: a randomised controlled trial

BACKGROUND: Countries across sub-Saharan Africa are scaling up Community Health Worker (CHW) programmes, yet there remains little high-quality research assessing strategies for CHW supervision and performance improvement. This randomised controlled trial aimed to determine the effect of a personalis...

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Detalles Bibliográficos
Autores principales: Whidden, Caroline, Kayentao, Kassoum, Liu, Jenny X, Lee, Scott, Keita, Youssouf, Diakité, Djoumé, Keita, Alexander, Diarra, Samba, Edwards, Jacqueline, Yembrick, Amanda, Holeman, Isaac, Samaké, Salif, Plea, Boureima, Coumaré, Mama, Johnson, Ari D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Edinburgh University Global Health Society 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6162089/
https://www.ncbi.nlm.nih.gov/pubmed/30333922
http://dx.doi.org/10.7189/jogh.08.020418
Descripción
Sumario:BACKGROUND: Countries across sub-Saharan Africa are scaling up Community Health Worker (CHW) programmes, yet there remains little high-quality research assessing strategies for CHW supervision and performance improvement. This randomised controlled trial aimed to determine the effect of a personalised performance dashboard used as a supervision tool on the quantity, speed, and quality of CHW care. METHODS: We conducted a randomised controlled trial in a large health catchment area in peri-urban Mali. One hundred forty-eight CHWs conducting proactive case-finding home visits were randomly allocated to receive individual monthly supervision with or without the CHW Performance Dashboard from January to June 2016. Randomisation was stratified by CHW supervisor, level of CHW experience, and CHW baseline performance for monthly quantity of care (number of household visits). With regression analysis, we used a difference-in-difference model to estimate the effect of the intervention on monthly quantity, timeliness (percentage of children under five treated within 24 hours of symptom onset), and quality (percentage of children under five treated without protocol error) of care over a six-month post-intervention period relative to a three-month pre-intervention period. RESULTS: Use of the Dashboard during monthly supervision significantly increased the mean number of home visits by 39.94 visits per month (95% CI = 3.56-76.3; P = 0.031). Estimated effects on secondary outcomes of timeliness and quality were positive but not statistically significant. Across both study arms, CHW quantity, timeliness, and quality of care significantly improved over the study period, during which time all CHWs received dedicated monthly supervision, although effects plateaued over time. CONCLUSIONS: Our findings suggest that dedicated monthly supervision and personalised feedback using performance dashboards can increase CHW productivity. Further operational research is needed to understand how to sustain the performance improvements over time. TRIAL REGISTRATION: ClinicalTrials.gov (NCT03684551).