Reasons for Self-Reported Unmet Healthcare Needs in Canada: A Population-Based Provincial Comparison
Bibliographic record
Abstract
In this study, we compare self-perceived unmet need across Canadian provinces and assess how the reasons for unmet need -problems with availability, accessibility and acceptability -vary. This cross-sectional study uses data from the Canadian Community Health survey (2.1) conducted in 2003. Overall, 11.7% perceived having had unmet healthcare needs in the previous 12 months. The adjusted provincial rates varied from 13.3% in manitoba to 7.8% in Prince Edward Island. Among those reporting unmet health service needs, the leading reason was problems of availability of services (54.9%), followed by acceptability (42.8%) and accessibility related to cost or transportation (12.7%). unmet need due to problems of availability was most likely in quebec, Newfoundland and manitoba, while Alberta and British Columbia had the highest likelihood of unmet need due to accessibility problems. Those in British Columbia, saskatchewan and manitoba were more likely to report problems of acceptability. The reasons for unmet need vary across provinces, with each reason having different policy implications.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".