Barriers and Facilitators to Family Planning Access in Canada
Bibliographic record
Abstract
BACKGROUND: Contraceptives are underutilized in Canada, and nearly one in three Canadian women will have an abortion in her lifetime. To help delineate a national family planning research agenda, the authors interviewed healthcare providers and organizational stakeholders to explore their perspective on barriers to contraception across regions of Canada. METHODS: Semi-structured interviews were conducted based on validated frameworks for assessing family planning access and quality. The authors purposefully selected 14 key stakeholders from government agencies, professional organizations and non-governmental organizations for in-person interviews. Fifty-eight healthcare providers and representatives of stakeholder organizations in reproductive health who self-selected through an online survey were also interviewed. Transcripts were analyzed for repeated and saturated themes. RESULTS: Cost was the most important barrier to contraception. Sexual health education was reported as inconsistent, even within provinces. Regional differences were highlighted, including limited access to family physicians in rural Canada and throughout Quebec. Physician bias and outdated practices were cited as significant barriers to quality. New immigrants, youth, young adults and women in small rural, Northern and Aboriginal communities were all identified as particularly vulnerable. Informants identified multiple opportunities for health policy and system restructuring, including subsidized contraception, and enhancing public and healthcare provider education. Sexual health clinics were viewed as a highly successful model. Task-sharing and expanded scope of practice of nurses, nurse practitioners and pharmacists, alongside telephone and virtual healthcare consultations, were suggested to create multiple points of entry into the system. CONCLUSION: Results underscore the need for a national strategic approach to family planning health policy and health services delivery in Canada.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.011 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".