Providers’ Experience of Abortion Care: Protocol for a Scoping Review
Bibliographic record
Abstract
BACKGROUND: Despite being one of the most common gynecological procedures in the world, abortion care remains highly stigmatized. Internationally, providers have noted negative impacts related to their involvement in the services, and abortion care has been described as "dirty work." Though much of the existing research focuses on the challenges of providing, many have also highlighted the positive aspects of working in abortion care. Despite the steadily increasing interest in this area over the past decade, however, no one has sought to systematically review the literature to date. OBJECTIVE: The aim of this review is to systematically explore published studies on the experiences of abortion care providers to create a narrative review on the lived experience of providing abortion care, reflecting on what is already known and what areas require further exploration. METHODS: This review will be conducted according to the framework outlined by Levac et al, which expanded on the popular Arksey and O'Malley framework. We will systematically search for peer-reviewed articles in 6 electronic databases: CINAHL, the Cochrane Library, EMBASE, PsycInfo, PubMed, and Web of Science. Following a pilot exercise, we devised a search strategy to identify relevant studies. In this protocol, we outline how citations will be assessed for eligibility and what information will be extracted from the included articles. We also highlight how this information will be combined in the review. RESULTS: As of December 2021, at the time of writing, we have searched for articles in the electronic databases and identified 6624 unique citations. We intend to fully assess these citations for eligibility by the end of January 2022, chart and analyze data from the eligible citations by the end of March 2022, and submit a journal article for peer review by late spring 2022. CONCLUSIONS: The findings of this review will provide a comprehensive overview on the known experiences of providing abortion care. We also anticipate that the findings will identify aspects of care and experiences that are not reflected in the available literature. We will disseminate the results via a publication in a peer-reviewed academic journal and by presenting the findings at conferences in the areas of abortion care, obstetrics, and midwifery. As this review is a secondary analysis of published articles, ethical approval was not required. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/35481.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".