Multilevel determinants of community health workers for an effective maternal and child health programme in sub-Saharan Africa: a systematic review
Bibliographic record
Abstract
BACKGROUND: Countries in sub-Saharan Africa (SSA) continue to have the highest maternal and under-five child deaths in the world. The ongoing COVID-19 pandemic is amplifying the problems and overwhelming already fragile health systems. Community health workers (CHWs) are increasingly being acknowledged as crucial members of the healthcare workforce in improving maternal and child health (MCH). However, evidence is limited on multilevel determinants of an effective CHWs programme using CHWs' perspective. The objective of this systematic review is to examine perceived barriers to and enablers of different levels of the determinants of the CHWs' engagement to enhance MCH equity and a resilient community health system in SSA. METHODS: We systematically conducted a literature search from inception in MEDLINE complete, EMBASE, CINAHL complete and Global Health for relevant studies. Qualitative studies that presented information on perceived barriers to and facilitators of effectiveness of CHWs in SSA were eligible for inclusion. Quality appraisal was conducted according to the Critical Appraisal Skills Programme qualitative study checklist. We used a framework analysis to identify key findings. FINDINGS: From the database search, 1561 articles were identified. Nine articles met the inclusion criteria and were included in the final review. Using socio-ecological framework, we identified the determinants of CHWs' effectiveness at 4 levels: individual/CHWs, interpersonal, community and health system logistics. Under each level, we identified themes of perceived barriers such as competency gaps, lack of collaboration, fragmentation of empowerment programmes. In terms of facilitators, we identified themes such as CHW empowerment, interpersonal effectiveness, community trust, integration of CHWs into health systems and technology. CONCLUSION: Evidence from this review revealed that effectiveness of CHW/MCH programme is determined by multilevel contextual factors. The socio-ecological framework can provide a lens of understanding diverse context that impedes or enhances CHWs' engagement and effectiveness at different levels. Hence, there is a need for health programme policy makers and practitioners to adopt a multilevel CHW/MCH programme guided by the socio-ecological framework to transform CHW programmes. The framework can help to address the barriers and scale up the facilitators to ensuring MCH equity and a resilient community health system in SSA.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.072 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.007 |
| Bibliometrics | 0.014 | 0.016 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".