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Record W2606201190 · doi:10.1097/ccm.0000000000002373

The Association Between Visiting Intensivists and ICU Outcomes*

2017· article· en· W2606201190 on OpenAlexaff
Tony Whitehouse, James Hodson, Philip W. Pemberton, Tonny Veenith, Catherine Snelson, Julian Bion, Gordon D. Rubenfeld

Bibliographic record

VenueCritical Care Medicine · 2017
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineEmergency medicineIntensivistIntensive care unitIntensive careContext (archaeology)Psychological interventionCritically illIntensive care medicineNursing

Abstract

fetched live from OpenAlex

OBJECTIVES: We hypothesized that intensivists unfamiliar with an ICU team and the context of that ICU would affect patient outcomes. We examined differences in mortality when ICU patients were admitted under intensivists routinely working in that ICU and compared with those admitted by intensivists familiar with an ICU elsewhere in the same hospital. DESIGN, SETTINGS, AND PATIENTS: A 5-year natural experimental crossover study involving patients admitted to four ICUs in a large U.K. teaching hospital. INTERVENTIONS: During a period of service reconfiguration, intensivists routinely rostered to work in one ICU worked in another of the hospital's four ICUs. "Home" intensivists were those who continued to work in their usual ICU; "visitor" intensivists were those who delivered care in an unfamiliar ICU. Patient data were obtained from electronic patient records to provide analysis on sex, age, admission Sequential Organ Failure Assessment score, date and time of admission, and admission type (elective, transfer, or unplanned). MEASUREMENTS AND MAIN RESULTS: We analyzed 9,981 admissions to four separate ICUs over a 5-year period. In total, 34.5% of patients were admitted by intensivists working in nonfamiliar surroundings. Visitor intensivists admitted patients with similar age and gender distributions but with greater physiologic derangement (mean Sequential Organ Failure Assessment score, 4.1 ± 2.8 vs 3.9 ± 2.8; p < 0.001) than home intensivists. Overall ICU mortality rates were higher in visitor intensivists, albeit not significantly so (11.5% vs 10.2%; p = 0.052). However, when the ICUs were analyzed separately, visitor mortality rates were found to be significantly higher than for home intensivists in two of the four ICUs (p = 0.017, 0.006). A multivariable analysis adjusting for confounding factors and the clustering of consultants revealed that the overall mortality rate was significantly higher for visitors (odds ratio, 1.18; 95% CI, 1.02-1.37; p = 0.024). A significant interaction between the ICU and visitor status was also detected (p = 0.046), with the visitor effect remaining significant in the two ICUs identified previously (both p = 0.009). CONCLUSIONS: Visitor intensivists in some ICUs were associated with higher mortality. The reasons are unknown but could relate to intensivists' practices, unfamiliarity with the patients, or the interaction with the interprofessional team.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.113
GPT teacher head0.475
Teacher spread0.362 · 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

Citations7
Published2017
Admission routes1
Has abstractyes

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