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Record W2057678188 · doi:10.1353/cja.2005.0057

Use of Physician Services by Older Adults: 1991/1992 to 2000/2001

2005· article· en· W2057678188 on OpenAlexaffabout
Diane Watson, Petra Heppner, Robert J. Reid, Bogdan Bogdanovic, Noralou P. Roos

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2005
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsUniversity of ManitobaVancouver Hospital and Health Sciences CentreUniversity of British Columbia
Fundersnot available
KeywordsMedicineDemographyPopulationGerontologyEnvironmental health

Abstract

fetched live from OpenAlex

Canadians have expressed concern that access to family physicians (FP) has declined. Anonymized physician services data for 1991/1992 to 2000/2001 were used to evaluate changes in supply and age-specific rates of use of FPs and specialists in Winnipeg, Manitoba. Physician-to-population ratios declined 7.5 per cent, FP-to-population ratios declined 4.8 per cent, and specialist-to-population ratios declined 10.0 per cent. Among the general population, FP visit rates declined 3 per cent. Among older adults, physician visit rates increased 2.3 per cent, FP visit rates increased 10.9 per cent, and specialist visit rates declined 15.7 per cent. By comparison, we document declines in FP use by those younger than 5 years (25.5%) and those 6 to 19 years of age (18.6%). Increases in FP and declines in specialist use occurred primarily among those aged 65 to 84 years. By 2000/2001 older adults accounted for 25 per cent of all FP encounters. Gains in FP use among older adults was less attributable to the presence of more seniors and more related to the fact that a higher proportion of them are visiting a FP each year and, potentially, substituting primary for secondary care.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.026
Threshold uncertainty score0.187

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.218
Teacher spread0.199 · 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

Citations8
Published2005
Admission routes2
Has abstractyes

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Same venueCanadian Journal on Aging / La Revue canadienne du vieillissementSame topicHealthcare Policy and ManagementFrench-language works237,207