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Record W2131623311 · doi:10.2190/hs.40.1.h

Visits to Family Physicians or Specialists by Elderly Persons in Canada and the United States: An Exploratory Comparative Study

2010· article· en· W2131623311 on OpenAlexaboutno aff
Mark S. Kaplan, Nathalie Huguet, David Feeny, Bentson H. McFarland, Stacey S. Williams

Bibliographic record

VenueInternational Journal of Health Services · 2010
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsnot available
FundersRetirement Research Foundation
KeywordsFamily medicineExploratory researchMedicineGerontologySociology

Abstract

fetched live from OpenAlex

The objective of this exploratory study was to compare elderly persons likelihood of visiting a family doctor/general practitioner or a medical specialist and the association of that likelihood with socioeconomic factors and health-related quality of life (a measure of perceived need) in Canada and the United States. The data were obtained from the 2002-2003 Joint Canada/United States Survey of Health. The main dependent measure was whether respondents saw a medical specialist or a general practitioner during their last health care visit. U.S. patients in the highest household income group were more likely to have seen a specialist during their last health care visit, after adjusting for potential confounding factors. Further, visits to a specialist in Canada were determined by need rather than by household income. In Canada, likelihood of specialist visits by elderly persons is systematically related to the burden of illness (need) and not systematically related to income. In the United States, the opposite is the case. These results suggest that there may be important lessons from Canada on the organization of health care services.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.115
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.051
GPT teacher head0.432
Teacher spread0.381 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations7
Published2010
Admission routes1
Has abstractyes

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