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Record W3124901761

A systematic review of women's experiences of planning a homebirth in consultation with maternity care providers

2020· review· en· W3124901761 on OpenAlexaboutno aff
Patricia Mackin, Maria Healy, Olufikayo Bamidele

Bibliographic record

VenueUlster University Research Portal (Ulster University) · 2020
Typereview
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMaternity careNursingMedicineHealth carePolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

Background A woman’s chosen place of birth impacts not only the type of birth, but also the number of unnecessary interventions that the mother and baby are exposed to during labour and birth. Lower rates of unnecessary interventions are experienced by women who give birth at home. These include oxytocin augmentation, episiotomy, epidural analgesia, instrumental vaginal birth and caesarean section. They are also less likely to experience 3rd or 4th degree perineal tear, maternal infection or postpartum haemorrhage. However, little is known regarding women’s actual experiences of engaging with maternity care providers to plan for a home birth. Aim: To synthesise findings from previous studies, which have reported on women’s experiences of planning a home birth in consultation with maternity care providers. Methods: Nine bibliographic databases were systematically searched using the search terms: Home birth, childbirth, planned home birth, pregnant women and home birth, experience and homebirth. Studies published in English Language between January 2015 and May 2020 were included. Conference abstracts lacking sufficient data were excluded. Relevant papers from back chaining references of papers evidenced within the RQIA Planning birth at home guideline and professional networks were included. We managed search results and deduplication with Endnote, Refworks and Covidence. Screening, quality appraisal and data extraction were done independently by two authors and conflicts were resolved by discussion and agreement. Data analysis is ongoing using thematic synthesis (Thomas and Harden 2008). The review is registered on the International Prospective Register of Systematic Reviews (PROSPERO: Registration ID: CRD 42018095042 – updated 28th September 2020). Findings Search results yielded 586 papers. Following deduplication, title/abstract and full-text screening, 16 eligible studies were included in the review. The studies were qualitative and involved a total of 275 women aged 18 - 40 years old. The studies were conducted across nine countries: Australia, Brazil, USA, UK, Switzerland, Canada, Netherlands, Spain and Norway. Findings showed that preference for a natural birth served as a catalyst for women to be resilient in problem-solving, information-seeking and taking positive actions to actualise a planned home birth in consultation with their midwives. Their midwives’ competence, support and prioritisation of safety and woman-centred care also enhanced women’s confidence and positive experience of planning a home birth. Conclusions/Implications This review gives a more in-depth understanding of women’s information and support needs. In particular, the influence care providers can have on women’s plan to have a home birth has implications for service providers.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.021
metaresearch head score (Gemma)0.081
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.021
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.081
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.005
Bibliometrics0.0210.028
Science and technology studies0.0010.002
Scholarly communication0.0050.004
Open science0.0020.003
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.066
GPT teacher head0.372
Teacher spread0.307 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

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