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Record W3011835939 · doi:10.9778/cmajo.20190188

The ecology of medical care for adults in Alberta, 2002/03 to 2016/17: a retrospective cohort study

2020· article· en· W3011835939 on OpenAlexaffvenueabout
Finlay A. McAlister, Marcello Tonelli, Natasha Wiebe, Meng Lin, Lawrence W. Svenson, Stafford Dean

Bibliographic record

VenueCMAJ Open · 2020
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsAlberta HealthUniversity of AlbertaAlberta Health Services
Fundersnot available
KeywordsRetrospective cohort studyCohortEcologyGeographyMedicineDemographyBiologySociologyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: If we are to improve the patient experience, knowing where and with whom people receive professional health advice and treatment (the ecology of medical care) is the first step. We designed this study to define the ecology of medical care in Alberta and to examine whether province-wide implementation of 5 policy changes between 2003 and 2012 changed patterns of care among adults in the province. METHODS: This was a retrospective cohort study of adults (age ≥ 18 yr) in Alberta using routinely collected data from 6 linked administrative health databases, the 2016 Canadian Community Health Survey and the Alberta Health Link teletriage system. We collected data on all encounters with pharmacists, primary care physicians, specialists, emergency departments and hospitals in 2002/03, 2009/10 and 2016/17. RESULTS: < 0.001). The proportion admitted to an acute care hospital (5.6%-6.5%) or academic hospital (1.2%) was relatively stable over time. INTERPRETATION: Despite implementation of 5 system-wide changes designed to affect the delivery of primary and specialty medical care as well as the use of pharmacist and nursing services in Alberta, patterns of health care delivery changed little between 2002/03 and 2016/17. Rather than searching for a policy "magic bullet," health care planners may be better served by focusing on upscaling and implementing interventions proven to be efficacious.

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)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.476
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.281
GPT teacher head0.631
Teacher spread0.350 · 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.

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
Published2020
Admission routes3
Has abstractyes

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