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Record W4400639916 · doi:10.22374/cjmrp.v23i1.28

Midwives’ Pathways from Health to Leaves of Absence and Return to Work

2024· article· en· W4400639916 on OpenAlexafffundabout
Kellie Thiessen, Cecilia Benoit, Jelena Atanackovic, Elena Neiterman, Kelly Gregory, Henrietta Akuamoah-Boateng, Angela Freeman, A. W. C. Mellor, Ivy Lynn Bourgeault

Bibliographic record

VenueCanadian Journal of Midwifery Research and Practice · 2024
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversity of WaterlooUniversity of OttawaUniversity of VictoriaUniversity of Manitoba
FundersSocial Sciences and Humanities Research Council of CanadaCanadian Institutes of Health Research
KeywordsWork (physics)PsychologyNursingMedicineEngineering

Abstract

fetched live from OpenAlex

Background: The mental health of midwives is an area of increased investigation as these experiences affect their attrition from the profession.Aim: To examine the mental health experiences of midwives and midwifery students in Canada and how they respond to these experiences.Methods: A mixed methods study involved surveys with 202 midwives and midwifery students, complemented by qualitative interviews with 44 participants (33 midwives, 11 students).Findings: Midwives and midwifery students self-report a high percentage (79%) of personal mental health issues. Of those, over half changed their work (55%), and a similar number contemplated taking a leave (59%). Far fewer midwives took a leave (17%), and 70% who did, returned to work.Conclusion: Barriers to taking a leave of absence from work due to mental health concerns draw attention to the limited options in the models of midwifery practice currently in Canada and the need for alternatives. RÉSUMÉContexte: La santé mentale des sages-femmes est un domaine qui fait l’objet de plus en plus d’études, car ces expériences ont une incidence sur l’abandon de la profession. Objectif: Examiner les expériences de santé mentale des sages-femmes et des étudiantes en pratique sage-femme au Canada et la façon dont elles réagissent à ces expériences.Méthodes: Une étude à méthodes mixtes a comporté des enquêtes auprès de 202 sages-femmes et étudiantes en pratique sage-femme, complétées par des entretiens qualitatifs avec 44 participantes (33 sages-femmes, 11 étudiantes).Résultats: Les sages-femmes et les étudiants en pratique sage-femme déclarent un pourcentage élevé (79 %) de problèmes personnels de santé mentale. Parmi eux, plus de la moitié ont changé de travail (55%) et un nombre similaire a envisagé de prendre un congé (59%). Beaucoup moins de sages-femmes ont pris un congé (17%), et 70% de celles qui l’ont fait sont retournées au travail.Conclusion: Les obstacles à la prise d’un congé en raison de problèmes de santé mentale attirent l’attention sur les options limitées des modèles de pratique sage-femme actuellement en vigueur au Canada et sur la nécessité de trouver des solutions de rechange.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.315
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.293
GPT teacher head0.517
Teacher spread0.224 · 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 designNot applicable
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 routes3
Has abstractyes

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