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Record W4400615139 · doi:10.22374/cjmrp.v19i3.51

Community As Client: A Qualitative Descriptive Study of the Work of Midwives to Increase Access to Midwifery Care

2024· article· en· W4400615139 on OpenAlexfundaboutno aff
Lisa Nussey, Tonya MacDonald, Beth Murray‐Davis, Meredith Vanstone, Elizabeth Darling

Bibliographic record

VenueCanadian Journal of Midwifery Research and Practice · 2024
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsnot available
FundersAssociation of Ontario MidwivesOntario Ministry of Health and Long-Term Care
KeywordsDescriptive researchWork (physics)ObstetricsQualitative researchNursingDescriptive statisticsMedicinePsychologySociologyEngineering

Abstract

fetched live from OpenAlex

Increasing access to midwifery care for disadvantaged groups was an explicit goal of the regulation of midwifery in Ontario. However, people of low socio-economic status (SES) remain less likely to receive midwifery care. We conducted a qualitative descriptive study to explore the work midwives do to make midwifery care accessible to people of low SES. We interviewed 13 Ontario midwives serving people of low SES, who practiced midwifery in settings ranging from a remote solo practice to a large urban practice. Participants described a broad range of ways in which they work to enhance the approachability, acceptability, availability and accommodation, affordability, and appropriateness of their services for people of low SES. We identified two distinct approaches to increasing access to care: (1) working to maximize the existing beneficial aspects of the midwifery model to whoever presents to care, and (2) stepping outside of the confines of the midwifery model, to provide what we call “community-centred care,” in which midwives are both a part of and responsive to the broader communities that they serve. The intentional, pro-active approach used by midwives providing community-centred care could be implemented more broadly to improve access to midwifery care for people of low SES. This article has been peer reviewed.

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)0.005
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.269
GPT teacher head0.528
Teacher spread0.259 · 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.

Study designQualitative
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

Citations2
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Midwifery Research and PracticeSame topicGlobal Maternal and Child HealthFrench-language works237,207