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Record W2099228898 · doi:10.1215/03616878-1191117

Health Care for Older Persons in England and the United States: A Contrast of Systems and Values

2011· article· en· W2099228898 on OpenAlexaff
Michael K. Gusmano, Sara Allin

Bibliographic record

VenueJournal of Health Politics Policy and Law · 2011
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Care Issues
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsProxy (statistics)InequalitySpecialtyHealth careRationingContext (archaeology)MedicineGerontologyDemographic economicsEconomic growthFamily medicineGeographyEconomics

Abstract

fetched live from OpenAlex

This article extends previous comparisons of access to health care for older persons in England and the United States by comparing rates of avoidable hospital conditions as a proxy for primary care access and by examining the distribution of care within these older populations. Drawing on hospital data from the two countries, we find that older persons in the United States, particularly those over the age of seventy-five, receive far more revascularizations than do older persons in England. Differences in the use of lower-joint replacement are not as great, but we are unable to assess differences in the need for these procedures. Although older persons have greater access to specialty care in the United States, there appears to be much better access to primary care in England. We are unable to draw comparisons on the extent of inequalities in access to health care, although in the United States there is evidence of inequalities in access by race, and in England we confirm earlier studies that find inequalities by level of deprivation. These findings are discussed in the context of the political debates over access to care and rationing in the two countries.

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)0.003
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 score0.462
Threshold uncertainty score0.849

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.076
GPT teacher head0.450
Teacher spread0.374 · 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

Citations12
Published2011
Admission routes1
Has abstractyes

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