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Record W1986633867 · doi:10.1177/0885066614521973

Assessing the Influence of Intensive Care Unit Organizational Factors on Outcomes in Canada

2014· article· en· W1986633867 on OpenAlexafffundabout
Peter Dodek, Monica Norena, Hubert Wong, Sean Keenan, Claudio M. Martin

Bibliographic record

VenueJournal of Intensive Care Medicine · 2014
Typearticle
Languageen
FieldMedicine
TopicSepsis Diagnosis and Treatment
Canadian institutionsWestern UniversityCentre for Advancing Health OutcomesUniversity of British ColumbiaProvidence Health Care
FundersCanadian Institutes of Health ResearchMinistry of Health, British ColumbiaAmerican Thoracic Society
KeywordsMedicineConfoundingConfidence intervalOdds ratioIntensive care unitIntensive careEmergency medicineComorbidityIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To illustrate the complexities of assessing the influence of individual organizational factors on outcomes for intensive care unit (ICU) patients in Canada. METHODS: In this cross-sectional study, we used retrospectively collected data from all patients admitted to all ICUs in British Columbia between April 01, 1994, and March 31, 1999, or to 20 ICUs in Ontario during 2002. We used responses to a survey about organizational factors for all ICUs in British Columbia and Ontario that was done in 2001. Clustered data regression models were used to assess the influence of organizational factors on outcomes after adjustment for patient-level confounders. RESULTS: Despite adjustment for age, sex, comorbidity score of patients, and limitation of the data sets to minimize confounding, we found variable relationships between ICU outcomes (hospital mortality, ICU length of stay, and hospital length of stay) and any of "closed" administrative model, daily rounds, presence of an ICU medical director, medical director trained in critical care medicine, presence of a nurse leader in the ICU, nurse-patient ratio, and presence of an ICU pharmacist. Closed administrative model was associated with lower hospital mortality (odds ratio [95% confidence interval]: 0.75 [0.66-0.85]), shorter length of ICU stay (rate ratio [95% confidence interval]: 0.76 [0.62-0.92]), and shorter length of hospital stay (rate ratio [5% confidence interval]: 0.78 [0.72-0.84]) in nontertiary ICUs but many other "advantageous" factors were associated with higher mortality. CONCLUSIONS: The lack of a consistent relationship between organizational factors and ICU outcomes, and relationships that show increased mortality associated with some advantageous factors, suggests that there is residual confounding in these relationships. Models that adjust for only conventional patient-level confounders are unlikely to provide valid estimates of the influence of organizational factors.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.980
Threshold uncertainty score0.142

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.055
GPT teacher head0.353
Teacher spread0.298 · 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 source (direct Gemma or distilled Codex), 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

Citations6
Published2014
Admission routes3
Has abstractyes

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