MétaCan
Menu
Back to cohort
Record W2405480398

Community factors, hospital characteristics and inter-regional outcome variations following acute myocardial infarction in Canada.

2005· article· en· W2405480398 on OpenAlexaffabout
David A. Alter, Peter C. Austin, Jack V. Tu

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
FieldMedicine
TopicAcute Myocardial Infarction Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineSocioeconomic statusMyocardial infarctionLogistic regressionCommunity hospitalDemographyRevascularizationResidenceEmergency medicineEthnic groupInternal medicineEnvironmental healthPopulation
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: While various community and hospital characteristics have been demonstrated to have an impact on individual cardiovascular outcomes, the extent to which such factors account for inter-regional and interhospital outcome variations following acute myocardial infarction (AMI) remains unknown. OBJECTIVES: To examine the impact of community and hospital factors on individual AMI outcomes and procedure use, and to determine the extent to which such characteristics account for inter-regional and interinstitutional AMI outcome and procedure variations across Canada. METHODS: Patients hospitalized with AMI between April 1, 1997, and March 31, 2000, across Canada were examined. The community and hospital characteristics studied included three indicators of socioeconomic status, two indicators of ethnicity, rural-urban status of residence, hospital academic affiliation, and the presence or absence of on-site angiography or revascularization capabilities at the admitting institution. Outcomes included in-hospital mortality, one-year cardiac readmissions and 30-day revascularization rates post-AMI. All analyses were adjusted for age, sex and age-sex interaction. The relationships between community/hospital factors and individual outcomes were examined using random-effects hierarchical logistic regression analysis, while the relationships between community/hospital characteristics and inter-regional/hospital risk-adjusted outcomes were examined using least squares regression and the coefficient of determination (r2). RESULTS: After adjusting for demographic factors, a patient's neighbourhood socioeconomic status was inversely correlated with the likelihood of death and downstream cardiac readmissions (P<0.001); patients residing in lower educated regions were less likely to receive revascularization post-AMI (P<0.001). Patients living in regions with higher concentrations of new immigrants and/or visible minorities, as well as those admitted to academically affiliated hospitals or hospitals with on-site procedural capacity, had fewer cardiac readmissions (P<0.001) and greater use of revascularization post-AMI (P<0.001) after adjusting for age and sex. Despite their associations with outcomes on an individual patient level, community and hospital factors explained no more than 7% of the variation in the risk-adjusted outcomes across hospitals or regions. Finally, adjustments for community and hospital factors and procedure use, beyond adjustments for age and sex alone, had marginal impact on a province's risk-adjusted outcomes. CONCLUSIONS: While community and hospital factors are important determinants of individual outcomes after AMI, they account for only a minimal degree of outcome variation across regions. Further studies are required to examine whether AMI outcome variations in Canada are explained by differences in patient clinical profiles and/or by differences in the decision-making behaviours of providers across jurisdictions.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score0.882

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.036
GPT teacher head0.280
Teacher spread0.244 · 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 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

Citations56
Published2005
Admission routes2
Has abstractyes

Explore more

Same venuePubMedSame topicAcute Myocardial Infarction ResearchFrench-language works237,207