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Record W4402096415 · doi:10.52609/jmlph.v4i4.134

Women’s Perception of a Midwife-Led Clinic: A Qualitative Study

2024· article· en· W4402096415 on OpenAlexvenueno aff
Diana S. Lalithabai, Faheema Alsomali, Khalid Alghamdi, Waad Alzahrani

Bibliographic record

VenueThe Journal of Medicine Law & Public Health · 2024
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsnot available
Fundersnot available
KeywordsPerceptionQualitative researchPsychologyNursingMedicineSociology

Abstract

fetched live from OpenAlex

Background: While maternal and child health care is a crucial component of every healthcare system, the burden on medical staff in caring for low-risk pregnant patients could be significantly alleviated by recruiting and maintaining a substantial number of midwives. Objectives: This study aims to understand the perceptions of women recipients of antenatal services provided by midwife-led clinics (MLC). Method: The study utilised a phenomenological approach with semi-structured interviews to gather information from participants regarding their perceptions of the MLC. Results: Participants in the survey were women (n=13) who attended the MLC, the majority being over 30 years of age and graduates. The participants believed that the clinic was essential, and felt at ease with the midwife and the services. Most expressed satisfaction with the health education offered by the clinic on the subject of prenatal care, nutrition, exercise, and breastfeeding. Conclusion: The participants in this study preferred midwife-led clinics because they allowed for better communication, answered queries, and provided significant emotional support. The participants felt comfortable with the midwife, who created a forum for discussion and clarification of doubts.

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)0.019
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.195
Threshold uncertainty score0.971

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.088
GPT teacher head0.454
Teacher spread0.366 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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