Saving mothers and newborns in communities: strengthening community midwives to provide high quality essential newborn and maternal care in Baluchistan, Pakistan in a financially sustainable manner
Bibliographic record
Abstract
BACKGROUND: To address it's persistently high maternal mortality rate of 276/100,000 live births, the government of Pakistan created a new cadre of community based midwives (CMW). One expectation is that CMWs will improve access to maternal health services for underserved women. Recent research shows the CMWs have largely failed to establish midwifery practices, because CMW's lack of skills, both clinical and entrepreneurial and funds necessary to develop their practice infrastructure and logistics. Communities also lack trust in their competence to conduct safe births. To address these issues, the Saving Mothers and Newborn (SMNC) intervention will implement three key elements to support the CMWs to establish their private practices: (1) upgrade CMW clinical skills (2) provide business-skills training and small loans (3) generate demand for CMW services using cellular phone SMS technology and existing women's support groups. METHODS/DESIGN: This 3-year project aims to investigate whether CMWs enrolled in this initiative are providing the essential maternal and newborn health care to women and children living in districts of Quetta, and Gwadar in a financially self-sustaining manner. Specifically the research will use quasi-experimental impact assessment to document whether the SMNC initiative is having an impact on CMW services uptake, financial analysis to assess if the initiative enabled CMWs to develop financially self-sustainable practices and observation methods to assess the quality of care the CMWs are providing. DISCUSSION: A key element of the SMNC initiative - the provision of business skills training and loans to establish private practices - is an innovative initiative in Pakistan and little is known about its effectiveness. This research will provide emperic evidence of the effectiveness of the intervention as well as contribute to the body of evidence around potential solutions to improve sustainable coverage of high impact Maternal, Neonatal and Child Health interventions in vulnerable populations living in remote rural areas.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".