Documenting Community Health Worker Compensation Schemes and Their Perceived Effectiveness in Seven sub-Saharan African Countries: A Qualitative Study.

INTRODUCTION: Community health worker (CHW) incentives and remuneration are core issues affecting the performance of CHWs and health programs. There is limited documentation on the implementation details of CHW financial compensation schemes used in sub-Saharan African countries, including their mechanisms of delivery and effectiveness. We aimed to document CHW financial compensation schemes and understand CHW, government, and other stakeholder perceptions of their effectiveness. METHODS: A total of 68 semistructured interviews were conducted with a range of purposefully selected key informants in 7 countries: Benin, Burkina Faso, Ghana, Malawi, Mali, Niger, and Zambia. Thematic analysis of coded interview data was conducted, and relevant country documentation was reviewed, including any documents referenced by key informants, to provide contextual background for qualitative interpretation. RESULTS: Key informants described compensation schemes as effective when payments are regular, distributions are consistent, and amounts are sufficient to support health worker performance and continuity of service delivery. CHW compensation schemes associated with an employed worker status and government payroll mechanisms were most often perceived as effective by stakeholders. Compensation schemes associated with a volunteer status were found to vary widely in their delivery mechanisms (e.g., cash or mobile phone distribution) and were perceived as less effective. Lessons learned in implementing CHW compensation schemes involved the need for government leadership, ministerial coordination, community engagement, partner harmonization, and realistic transitional financing plans. CONCLUSION: Policymakers should consider these findings in designing compensation schemes for CHWs engaged in routine, continuous health service delivery within the context of their country's health service delivery model. Systematic documentation of the tasks and time commitment of volunteer status CHWs could support more recognition of their health system contributions and better determination of commensurate compensation as recommended by the 2018 World Health Organization Guidelines on Health Policy and System Support to Optimize Community Health Worker Programs.

How Outreach Training and Supportive Supervision (OTSS) Affect Health Facility Readiness and Health-Care Worker Competency to Prevent and Treat Malaria in Niger: A Secondary Analysis of OTSS Data.

The quality of health services is key to the goal of averting morbidity and mortality from malaria. From July 2020 to August 2021, PMI Impact Malaria supported the implementation of four rounds of Outreach Training and Supportive Supervision (OTSS) in 12 health districts in the two regions of Niger: Dosso and Tahoua. Through OTSS, trained supervisors conducted onsite visits to observe an average of 174 healthcare workers (HCWs) per round in 96 public primary health facilities, managing persons with fever or conducting antenatal care (ANC) consultations, and then provided instant and individualized feedback and onsite training. Data from health facility readiness, case management, and malaria in pregnancy (MiP) checklists across the four rounds were analyzed using Wilcoxon's and the χ2 tests. These analyses highlighted improved facility readiness, including an increased likelihood that HCWs had received classroom training, and facilities had increased availability of guidelines and algorithms by round 4 compared with round 1. Median HCW performance scores showed an improvement in the correct performance and interpretation of malaria rapid diagnostic tests, in classification of malaria as uncomplicated or severe, and in the management of uncomplicated malaria across the four rounds. For MiP services, malaria prevention and the management of pregnant women with malaria also improved from round 1 to round 4. These findings provide further evidence that OTSS can achieve rapid improvements in health facility readiness and HCW competency in managing outpatients and ANC clients.

Use of Supervision Data to Improve Quality of Care for Malaria in Pregnancy: Experience in Six African Countries.

Malaria in pregnancy (MiP) intervention coverage, especially intermittent preventive treatment in pregnancy (IPTp), lags behind other global malaria indicators. In 2020, across Africa, only 32% of eligible pregnant women received at least three IPTp doses, despite high antenatal care attendance. We conducted a secondary analysis of data collected during Outreach Training and Supportive Supervision visits from 2019 to 2020 to assess quality of care and explore factors contributing to providers' competence in providing IPTp, insecticide-treated nets, malaria case management, and respectful maternity care. Data were collected during observations of provider-patient interactions in six countries (Cameroon, Cote d'Ivoire, Ghana, Kenya, Mali, and Niger). Competency scores (i.e., composite scores of supervisory checklist observations) were calculated across three domains: MiP prevention, MiP treatment, and respectful maternity care. Scores are used to understand drivers of competency, rather than to assess individual health worker performance. Country-specific multilinear regressions were used to assess how competency score was influenced by commodity availability, training, provider gender and cadre, job aid availability, and facility type. Average competency scores varied across countries: prevention (44-90%), treatment (78-90%), and respectful maternity care (53-93%). The relative association of each factor with competency score varied. Commodity availability, training, and access to job aids correlated positively with competency in multiple countries. To improve MiP service quality, equitable access to training opportunities for different cadres, targeted training, and access to job aids and guidelines should be available for providers. Collection and analysis of routine supervision data can support tailored actions to improve quality MiP services.