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Record W75934966

Influence of local provision of specialty health care service on patient access to care.

2007· article· en· W75934966 on OpenAlexaffabout
Vivian C. McAlister

Bibliographic record

VenuePubMed · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHealthcare Systems and Technology
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineNova scotiaSpecialtyReferralLiver transplantationService (business)Health carePopulationFamily medicineDemographyTransplantationEmergency medicineEnvironmental healthInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION: The impact of local provision of specialty service on patients' access to care was studied in Canada's 13 health care jurisdictions where distance may be a barrier limiting access. METHODS: A cross-sectional study of routinely collected registry data in Ontario and Nova Scotia was performed. Liver transplant was chosen as an indicator service. Transplant rate, disease severity, urgency and outcome were studied in adult recipients of first liver transplants from 1993 to 2002. Provinces that provided liver transplants were compared with those that did not; Ontario regions that provided the service were compared with those that did not; and the period of time when liver transplants were available in Nova Scotia was compared with the time when they were not. RESULTS: Use varied widely between jurisdictions but was consistently higher in provider provinces, at 10.9 per million population (pmp) compared with 8.9 pmp in nonprovider provinces (p < 0.005). Use was higher in district health councils of Ontario that provided transplantation. A larger proportion of patients in provider regions had viral or alcoholic etiologies of disease than did those from nonprovider regions, who tended to have superior survival after transplant. Service interruption in Nova Scotia did not change use rates, with transplant rates remaining above average, at 12.0 pmp. CONCLUSIONS: Differences in use between provider and nonprovider regions may reflect local service availability as well as local patterns of disease and patient referral. Expectations of patients that are established by local service availability persist after service is removed.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.969
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.021
GPT teacher head0.268
Teacher spread0.247 · 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 designOther design
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

Citations4
Published2007
Admission routes2
Has abstractyes

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