Global stakeholder perspectives of home birth: a systematic scoping review.
Bibliographic record
Abstract
Abstract Home birth is experienced by people very differently worldwide. These experiences likely differ by the type of stakeholder involved (women, their support persons, birth attendants, policy-makers), the experience itself (low-risk birth, transfer to hospital, previous deliveries), and by the health system within which home birth occurs (e.g. high-resource versus low- and middle-resource countries). Research evidence of stakeholders’ perspectives of home birth could usefully inform personal and policy decisions about choosing and providing home birth, but the current literature is fragmented and its breadth is not fully understood. We conducted a systematic scoping review to understand how the research literature on stakeholders’ perspectives of home birth is characterized in terms of populations, settings and identified issues, and what potential gaps exist in the research evidence. A range of electronic, web-based and key informant sources of evidence were searched. Located references were assessed, data extracted and analysed using robust methods. Our analysis included 387 full reports. Findings from 181 reports of studies in high-resource countries suggested that research with fathers, midwives and vulnerable populations and perspectives of freebirth and transfer to hospital could be synthesized, but gaps in primary research exist with respect to family members, policy makers, and those living in rural and remote locations. A further 206 reports of studies in low- and middle-resource countries suggested evidence for syntheses related to fathers and other family members, policy makers and other health care providers, and examination of issues related to emergency transfer to hospital, rural and remote home birth and those who birth out of hospital, often at home, despite receiving antenatal care intended to increase healthcare-seeking behaviour. Gaps in primary research suggest an examination is needed of perspectives in countries with higher maternal mortality, and among first-time mothers and young mothers. Our scoping review identified a considerable body of research evidence on stakeholder perspectives of home birth. These could inform the complex factors influencing personal decisions and health system planning around home birth in both high- and low- and middle-resource countries. Future primary research is warranted on specific stakeholders worldwide and with vulnerable populations in areas of high maternal mortality.
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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 | 0.039 | 0.129 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.030 | 0.026 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 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".