Introduction of digital reporting platform to integrate community-level data into health information systems is feasible and acceptable among various community health stakeholders: A mixed-methods pilot study in Mopti, Mali.

BACKGROUND: Integration of community-level health data within Mali's web-based District Health Information System (DHIS2) is underexplored. This study conducted in Mopti, Mali examined challenges and enablers affecting integration and investigated how digital technology optimizes data quality, availability, and use. METHODS: This pre-post mixed-methods study compared community health workers' (CHWs') experiences reporting routine community-level data using the DHIS2 digital application on tablets and paper forms. 141 CHWs participated in quantitative surveys and focus group discussions at baseline and endline. In-depth interviews were conducted with 18 and eight CHW supervisors and 12 and 11 other stakeholders at baseline and endline, respectively. We calculated changes in CHW performance, and job satisfaction among intervention and comparison groups using the difference-in-difference (DID) estimator controlling for baseline characteristics. Routine longitudinal DHIS2 data described timeliness and completeness of CHW reporting. Thematic analysis of qualitative data explained implementation challenges and enablers, and considerations for data use. RESULTS: The median number of health talks and household visits among intervention group CHWs increased from baseline to endline compared to the comparison group (DID estimator; P < 0.05 for both), as did aspects of job satisfaction (satisfaction with opportunities to contribute ideas to improve services and coordination with supervisors and stakeholders, P < 0.1). CHWs reported high levels of comfort and confidence navigating the tablet for data collection and on-time reporting. While CHWs experienced challenges -tablet quality, limited network connection and increased workload, they preferred the digital to paper system. Stakeholder, supervisor and CHW roles in data review and decision-making appear unchanged from baseline to endline, though some supervisors found the tablets improved data timeliness and completeness. Routine longitudinal DHIS2 data confirm high rates of data timeliness and completeness before and after the intervention, with little or no change over time. CONCLUSIONS: CHW tablet use for data collection and reporting is feasible and desirable, however, program and policy changes are needed for this to be a fully-functional system. Future efforts need to consider how to ensure site-level network connectivity; quality, compatibility and functionality of digital technology; and routine supportive systems for CHWs and community health actors on data use.

Development and validation of a multi-dimensional scale to assess community health worker motivation.

BACKGROUND: Ensuring that Community Health Workers (CHWs) are motivated is critical to their performance, retention and well-being - and ultimately to the effectiveness of community health systems worldwide. While CHW motivation is as multi-dimensional construct, there is no multi-dimensional measure available to guide programming. In this study, we developed and validated a pragmatic, multi-dimensional measure of CHW motivation. METHODS: Scale validation entailed qualitative and survey research in Mali and Bangladesh. We developed a pool of work satisfaction items as well as several items assessing the importance of hypothesized sub-dimensions of motivation, based on the literature and expert consultations. Qualitative research helped finalize scale sub-dimensions and items. We tested the scale in surveys with CHWs in Mali (n = 152, 40% female, mean age 32) and Bangladesh (n = 76 women, mean age 46). We applied a split-sample exploratory/confirmatory factor analysis (EFA/CFA) in Mali, and EFA in Bangladesh, then assessed reliability. We also gauged convergent/predictive validity, assessing associations between scale scores with conceptually related variables. RESULTS: The final 22-item scale has four sub-dimensions: Quality of supervision, Feeling valued and capacitated in your work, Peer respect and support, and Compensation and workload. Model fit in CFAs was good, as were reliabilities for the full scale (alpha: 0.84 in Mali, 0.93 in Bangladesh) and all sub-dimensions. To construct scores for the final scale, we weighted the scores for each sub-dimension by CHW-reported importance of that sub-dimension. Final possible range was -6 to +6 (sub-dimensions), -24 to +24 (full scale). Mean (standard deviation) of full-scale scores were 5.0 (3.3) in Mali and 14.5 (5.3) in Bangladesh. In both countries, higher motivation was significantly associated with higher overall interest in their work, feeling able to improve health/well-being in their community, as well as indicators of higher performance and retention. CONCLUSIONS: We found that the Multi-dimensional Motivation (MM) scale for CHWs is a valid and reliable measure that comprehensively assesses motivation. We recommend the scale be employed in future research around CHW performance and community health systems strengthening worldwide. The scale should be further evaluated within longitudinal studies assessing CHW performance and retention outcomes over time.