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Record W2051998468 · doi:10.12927/hcpol.2007.18527

Waiting for Care in Canada: Findings from the Health Services Access Survey

2006· article· en· W2051998468 on OpenAlexaffvenueabout
Claudia Sanmartin, F Pierre, Stéphane Tremblay

Bibliographic record

VenueHealthcare policy · 2006
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsStatistics Canada
Fundersnot available
KeywordsWaiting listHealth careMedicineWaiting periodFamily medicineNursingPolitical science

Abstract

fetched live from OpenAlex

Waiting for care has been and continues to be a major issue for the healthcare sector in Canada. While considerable gains have been made regarding valid and reliable information on waiting times, gaps remain. Statistics Canada continues to provide information regarding patients' experiences in accessing care at the national and provincial levels, including how long individuals waited for specialized services, through the Health Services Access Survey. The survey offers several advantages, including waiting time information that is comparable across time and space, enhanced patient information and information regarding patients' experiences in waiting for care. The results for 2005 indicate that median waiting time for all specialized services was between 3 and 4 weeks and remained relatively stable between 2003 and 2005. Waiting times for specialist visits did not vary by income. In addition to being asked how long they waited, individuals were asked about their experiences in waiting for care. While the majority of individuals waiting for care indicated that their waiting time was acceptable, there continues to be a proportion of Canadians who feel they are waiting an unacceptably long time for care. Between 11% and 18% of individuals waiting for care indicated that their life was affected by waiting.

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)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.282

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.012
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.074
GPT teacher head0.323
Teacher spread0.248 · 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 designObservational
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

Citations14
Published2006
Admission routes3
Has abstractyes

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