Implementation of a community-based intervention in the most rural and remote districts of Zambia: a process evaluation of safe motherhood action groups
Bibliographic record
Abstract
BACKGROUND: A community-based intervention known as Safe Motherhood Action Groups (SMAGs) was implemented to increase coverage of maternal and neonatal health (MNH) services among the poorest and most remote populations in Zambia. While the outcome evaluation demonstrated statistically significant improvement in the MNH indicators, targets for key indicators were not achieved, and reasons for this shortfall were not known. This study was aimed at understanding why the targeted key indicators for MNH services were not achieved. METHODS: A process evaluation, in accordance with the Medical Research Council (MRC) framework, was conducted in two selected rural districts of Zambia using qualitative approaches. Focus group discussions were conducted with SMAGs, volunteer community health workers, and mothers and in-depth interviews with healthcare providers. Content analysis was done. RESULTS: We found that SMAGs implemented much of the intervention as was intended, particularly in the area of women's education and referral to health facilities for skilled MNH services. The SMAGs went beyond their prescribed roles to assist women with household chores and personal problems and used their own resources to enhance the success of the intervention. Deficiencies in the intervention were reported and included poor ongoing support, inadequate supplies and lack of effective transportation such as bicycles needed for the SMAGs to facilitate their work. Factors external to the intervention, such as inadequacy of health services and skilled healthcare providers in facilities where SMAGs referred mothers and poor geographical access, may have led SMAGs to engage in the unintended role of conducting deliveries, thus compromising the outcome of the intervention. CONCLUSION: We found evidence suggesting that although SMAGs continue to play pivotal roles in contribution towards accelerated coverage of MNH services among hard-to-reach populations, they are unable to meet some of the critical sets of MNH service-targeted indicators. The complexities of the implementation mechanisms coupled with the presence of setting specific socio-cultural and geographical contextual factors could partially explain this failure. This suggests a need for innovating existing implementation strategies so as to help SMAGs and any other community health system champions to effectively respond to MNH needs of most-at-risk women and promote universal health coverage targeting hard-to-reach groups.
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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 | 0.031 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".