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Record W2004054023 · doi:10.1183/09031936.00007714

Friday and weekend hospital stays: effects on mortality

2014· article· en· W2004054023 on OpenAlexafffundabout
Samy Suissa, Sophie Dell’Aniello, Daniel Suissa, Pierre Ernst

Bibliographic record

VenueEuropean Respiratory Journal · 2014
Typearticle
Languageen
FieldMedicine
TopicHospital Admissions and Outcomes
Canadian institutionsUniversité de MontréalMcGill UniversityJewish General Hospital
FundersCanadian Institutes of Health ResearchMcGill University
KeywordsThursdayMedicineWeekend effectCOPDHazard ratioProportional hazards modelPneumoniaMortality rateCohortEmergency medicineNames of the days of the weekDemographyPediatricsInternal medicineConfidence interval

Abstract

fetched live from OpenAlex

While weekend hospital admissions are associated with higher mortality, the effects of weekend hospital stays are not known. We assessed whether patients hospitalised for chronic obstructive pulmonary disease (COPD) or pneumonia have higher mortality during weekend and Friday stays. Our cohort consisted of all hospitalisations for COPD or pneumonia during 1990-2007 from the healthcare databases of the province of Quebec, Canada. The hazard ratio (HR) of in-patient death associated with Friday and weekend stay was estimated by the Cox model with time-dependent covariates, adjusted for age, sex and comorbidity. The cohort included 323 895 hospitalisations for COPD or pneumonia during which 32 414 deaths occurred (rate of death 8.06 per 1000 per day). Mortality was higher for weekend (HR 1.06, 95% CI 1.03-1.09) but not Friday admissions (HR 0.97, 95% CI 0.95-1.00), relative to Monday-Thursday admissions. Independently of the admission day, mortality was higher during weekend stays (HR 1.07, 95% CI 1.04-1.09) and Friday stays (HR 1.05, 95% CI 1.02-1.08), relative to Monday-Thursday stays. Patients hospitalised for COPD or pneumonia are at increased risk of death when staying over on a Friday or a weekend. The additional 40-56 deaths per 100 000 patients staying in hospital on those days are most likely due to reduced access to healthcare at that time.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.243
Threshold uncertainty score0.541

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.018
GPT teacher head0.274
Teacher spread0.257 · 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

Citations15
Published2014
Admission routes3
Has abstractyes

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