Factors that influence the uptake of postnatal care from the perspective of fathers, partners and other family members: a qualitative evidence synthesis
Bibliographic record
Abstract
Background Postnatal care (PNC) is a key component of maternity provision and presents opportunities for healthcare providers to optimise the health and well-being of women and newborns. However, PNC is often undervalued by parents, family members and healthcare providers. As part of a larger qualitative review exploring the factors that influence PNC uptake by relevant stakeholders, we examined a subset of studies highlighting the views of fathers, partners and family members of postpartum women. Methods We undertook a qualitative evidence synthesis using a framework synthesis approach. We searched multiple databases and included studies with extractable qualitative data focusing on PNC utilisation. We identified and labelled a subset of articles reflecting the views of fathers, partners and other family members. Data abstraction and quality assessment were carried out using a bespoke data extraction form and established quality assessment tools. The framework was developed a priori based on previous research on the topic and adapted accordingly. Findings were assessed for confidence using the GRADE-CERQual approach and are presented by country income group. Results Of 12 678 papers identified from the original search, 109 were tagged as ‘family members views’ and, of these, 30 were eligible for this review. Twenty-nine incorporated fathers’ views, 7 included the views of grandmothers or mothers-in-law, 4 incorporated other family member views and 1 included comothers. Four themes emerged: access and availability; adapting to fatherhood; sociocultural influences and experiences of care. These findings highlight the significant role played by fathers and family members on the uptake of PNC by women as well as the distinct concerns and needs of fathers during the early postnatal period. Conclusion To optimise access to postnatal care, health providers should adopt a more inclusive approach incorporating flexible contact opportunities, the availability of more ‘family-friendly’ information and access to psychosocial support services for both parents.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".