Physicians' Perceptions of Barriers to Equal Access to Reproductive Health Promotion for Women with Mobility Impairment
Bibliographic record
Abstract
In Canada, 15% of women report having a disability, most frequently mobility-related. Research with women with disabilities has for decades brought attention to barriers to reproductive health promotion. Research with physicians regarding why these barriers exist and how they can be dissolved has not occurred. Physicians were recruited through email and pamphlets to participate in 30-45 minute in-person interviews, audiotaped and transcribed verbatim. Charmaz-based qualitative analysis was supported by NVivo10TM software. Twenty-five interviews were conducted before theoretical sufficiency. Six themes were co-constructed: I-Physicians’ Perceptions of Barriers; II-Physicians' Perceptions of Consequences of Barriers; III-Resolving Barriers; IV-Physicians’ Sub-Understanding of Legal Right to Accommodation; V-Obligation of Physicians to Advocate for Accommodation; and VI-Language Suggesting Physicians’ Lack of Understanding of How Persons with Disabilities See Themselves and Want to be Seen. Physicians identified physical access barriers previously identified in critical disability studies literature, but did not identify the barriers of physician attitudes and lack of information provision as reported in this literature. Physicians perceived their additional time for pap smears and other surveillance strategies as barriers, particularly when not remunerated. Physicians were unaware of their legal obligation to accommodate under human rights codes, perceiving that taking extra time to provide accommodation was doing so out of the "goodness of your heart". Physicians used language illustrating many were unaware of how disabled persons see themselves and want to be seen. Education regarding disability rights and culture must be introduced immediately and prominently into all levels of medical education, with the educators being people with disabilities.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".