Perspectives on reproductive healthcare delivered through a basic package of health services in Afghanistan: a qualitative study
Bibliographic record
Abstract
BACKGROUND: Contracting-out non-state providers to deliver a minimum package of essential health services is an increasingly common health service delivery mechanism in conflict-affected settings, where government capacity and resources are particularly constrained. Afghanistan, the longest-running example of Basic Package of Health Services (BPHS) contracting in a conflict-affected setting, enables study of how implementation of a national intervention influences access to prioritised health services. This study explores stakeholder perspectives of sexual and reproductive health (SRH) services delivered through the BPHS in Afghanistan, using Bamyan Province as a case study. METHODS: Twenty-six in-depth interviews were conducted with health-system practitioners (e.g. policy/regulatory, middle management, frontline providers) and four focus groups with service-users. Inductive thematic coding used the WHO Health System Framework categories (i.e. service delivery, workforce, medicines, information, financing, stewardship), while allowing for emergent themes. RESULTS: Improvements were noted by respondents in all health-system components discussed, with significant improvements identified in service coverage and workforce, particularly improved gender balance, numbers, training, and standardisation. Despite improvements, remaining weaknesses included service access and usage - especially in remote areas, staff retention, workload, and community accountability. CONCLUSIONS: By including perspectives on SRH service provision and BPHS contracting across health-system components and levels, this study contributes to broader debates on the effects of contracting on perceptions and experiences among practitioners and service-users in conflict-affected countries.
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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 | 0.012 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.012 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".