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Record W4408100881 · doi:10.1371/journal.pone.0313918

The role of doulas in abortion care in Canada: A qualitative study

2025· article· en· W4408100881 on OpenAlexafffundabout
Martha Paynter, Clare Heggie, Anja McLeod, Mélina Castonguay, Melissa Fuller, Wendy V. Norman

Bibliographic record

VenuePLoS ONE · 2025
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsUniversity of British ColumbiaAction Canada for Sexual Health and RightsDalhousie UniversityUniversity of New Brunswick
FundersHealth Canada
KeywordsAbortionMedicineQualitative researchMEDLINEObstetricsPregnancyBiologySociology

Abstract

fetched live from OpenAlex

INTRODUCTION: Equitable and safe access to abortion is essential for reproductive autonomy. Despite decriminalization in 1988, barriers to accessing abortion in Canada persist, particularly for people in underserved groups. Doulas, working in a non-clinical and unregulated supportive role, may facilitate access to family planning services, but evidence about the scope, role, training, and efficacy of doulas in abortion care is lacking. The goal of this study was to understand the experience of abortion doulas in Canada with respect to their role and facilitators and challenges faced in practice. METHOD: For this community-based, qualitative national study of abortion doula practice, we first created a national directory of all doulas in Canada in 2023 using publicly available online information. From this directory, we extracted contact information for doulas who indicated they provide abortion support and sent invitations for a one-time qualitative interview. Questions addressed current role and responsibilities, gaps in doula training and knowledge, and challenges and opportunities they perceived with respect to client support. We used reflexive thematic analysis to generate key themes. Our research team includes abortion doula experts. RESULTS: Among 73 abortion doulas with public listings in Canada in 2023 to whom we sent invitations, 15 completed an interview. We developed six key themes: Inter and intra-systems navigation; After-care; In over their heads; Balancing act; Support for the supporter; and Beyond the individual. Abortion doulas navigate fragmented systems and support clients experiencing intersecting forms of oppression and exclusion. These complex logistics include locating care providers, securing transportation, and obtaining funds for clients' out-of-pocket costs. Doulas faced challenges acquiring adequate training, understanding local health systems, forging relationships and supporting clients facing structural barriers to care. Abortion doula work is facilitated by peer and organizational support, connections to clinics and providers, and comprehensive and contextually appropriate training. CONCLUSIONS: Abortion doulas express needs for comprehensive, evidence-based training, meaningful partnerships and sustainable remuneration. Future research should explore abortion provider and clinic staff perspectives with respect to the potential role of doulas in wrap-around client support services.

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)0.008
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.097
Threshold uncertainty score0.705

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0310.011
Scholarly communication0.0050.002
Open science0.0030.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.027
GPT teacher head0.326
Teacher spread0.299 · 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 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
Published2025
Admission routes3
Has abstractyes

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