Improving Community Health Worker Performance With a Supervision Dashboard

Not Applicable

Completed

• Conditions: Community Health Worker Performance

• Registration Number: NCT03684551
• Lead Sponsor: Ari Johnson, MD

Brief Summary

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 aims to determine the effect of a personalised performance dashboard used as a supervision tool on the quantity, speed, and quality of CHW care. This study is 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.

Detailed Description

Not available

Study Timeline

• Study Start: 2015-11-01
• Primary Completion: 2016-06-30
• Study Completion: 2016-10-31
• Status Verified: 2018-09
• Study First Submitted: 2018-09-14
• Study First Submitted QC: 2018-09-24
• Last Update Submitted: 2018-09-24
• Study First Posted: 2018-09-25
• Last Update Posted: 2018-09-25

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 148

Inclusion Criteria

• To be a CHW in the study site at the time of enrolment (n=148)

Exclusion Criteria

• CHW who pretested the Dashboard tool (n=2)

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: PARALLEL

Primary Outcome Measures

Name	Time	Method
Quantity of care	9 months	The number of proactive case-finding home visits during the month

Secondary Outcome Measures

Name	Time	Method
Timeliness of care	9 months	The percentage of sick children under five treated within 24 hours of symptom onset during the month
Quality of care	9 months	The percentage of sick children under five treated without protocol error among 23 potential errors during the month