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Record W4290851352 · doi:10.1371/journal.pone.0270264

Factors that influence uptake of routine postnatal care: Findings on women’s perspectives from a qualitative evidence synthesis

2022· article· en· W4290851352 on OpenAlexaff
Emma Sacks, Kenneth Finlayson, Vanessa Brizuela, Nicola Crossland, Daniela Ziegler, Caroline Sauvé, Étienne V Langlois, Dena Javadi, Soo Downe, Mercedes Bonet

Bibliographic record

VenuePLoS ONE · 2022
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsCentre Hospitalier de l’Université de Montréal
FundersUNICEFWorld Health Organization
KeywordsCINAHLData extractionMEDLINEInclusion (mineral)Qualitative researchPopulationHealth carePsychosocialMedicineFamily medicineGrey literaturePsychologyNursingPsychological interventionEnvironmental healthPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

BACKGROUND: Effective postnatal care is important for optimal care of women and newborns-to promote health and wellbeing, identify and treat clinical and psychosocial concerns, and to provide support for families. Yet uptake of formal postnatal care services is low and inequitable in many countries. As part of a larger study examining the views of women, partners, and families requiring both routine and specialised care, we analysed a subset of data on the views and experiences of women related to routine postnatal care. METHODS: We undertook a qualitative evidence synthesis, using a framework analysis approach. We included studies published up to December 2019 with extractable qualitative data, with no language restriction. We focused on women in the general population and their accounts of routine postnatal care utilization. We searched MEDLINE, PUBMED, CINAHL, EMBASE, EBM-Reviews, and grey literature. Two reviewers screened each study independently; inclusion was agreed by consensus. Data abstraction and scientific quality assessment were carried out using a study-specific extraction form and established quality assessment tools. The analysis framework was developed a priori based on previous knowledge and research on the topic and adapted. Due to the number of included texts, the final synthesis was developed inductively from the initial framework by iterative sampling of the included studies, until data saturation was achieved. Findings are presented by high versus low/middle income country, and by confidence in the finding, applying the GRADE-CERQual approach. FINDINGS: Of 12,678 papers, 512 met the inclusion criteria; 59 articles were sampled for analysis. Five themes were identified: access and availability; physical and human resources; external influences; social norms; and experience of care. High confidence study findings included the perceived low value of postnatal care for healthy women and infants; concerns around access and quality of care; and women's desire for more emotional and psychosocial support during the postnatal period. These findings highlight multiple missed opportunities for postnatal care promotion and ensuring continuity of care. CONCLUSIONS: Factors that influence women's utilization of postnatal care are interlinked, and include access, quality, and social norms. Many women recognised the specific challenges of the postnatal period and emphasised the need for emotional and psychosocial support in this time, in addition to clinical care. While this is likely a universal need, studies on mental health needs have predominantly been conducted in high-income settings. Postnatal care programmes and related research should consider these multiple drivers and multi-faceted needs, and the holistic postpartum needs of women and their families should be studied in a wider range of settings. REGISTRATION: This protocol is registered in the PROSPERO database for systematic reviews: CRD42019139183.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.407
Threshold uncertainty score0.801

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.076
GPT teacher head0.315
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations57
Published2022
Admission routes1
Has abstractyes

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