Evidence map›Paper›PMID 24081285›Full record

ArticleAnnals of internal medicine2013

Outcomes among patients discharged from busy intensive care units.

Jason Wagner, Nicole B Gabler, Sarah J Ratcliffe, Sydney E S Brown, Brian L Strom, Scott D Halpern

Abstract read
In one paragraph

Article in Annals of internal medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

72 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Patients and staff perspectives on hospital ward strain and its impacts on patient care and the workforce: a mixed-methods systematic review.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2026
    Pooled it
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  5. Contributors to perceived workload strain in the pediatric intensive care unit.Intensive care medicine. Paediatric and neonatal · 2026
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  13. Association of ICU Admission and Outcomes in Sepsis and Acute Respiratory Failure.American journal of respiratory and critical care medicine · 2022
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12 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jason Wagner
Nicole B Gabler
Sarah J Ratcliffe
Sydney E S Brown
Brian L Strom
Scott D Halpern

Funding

Training in Critical Care Health Policy ResearchT32HL098054 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Scott D Halpern · 2010 to 2026
$8.2M
Measuring and Mitigating Patient Safety Threats Due to Strains on ICU CapacityK08HS018406 · AHRQ · UNIVERSITY OF PENNSYLVANIA · PI HALPERN, SCOTT D · 2009 to 2013
$763k
ICU Discharge: A Critical Juncture for Survivors of Acute Respiratory FailureF30HL107020 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI BROWN, SYDNEY ELIZABETH SHERMAN · 2011 to 2013
$80k
AHRQ HHS K08 HS018406AHRQ HHS K08HS018406NHLBI NIH HHS F30 HL107020NHLBI NIH HHS T32 HL098054NHLBI NIH HHS T32HL098054
6 · The paper itself

Abstract

backgroundStrains on the capacities of intensive care units (ICUs) may influence the quality of ICU-to-floor transitions.

objectiveTo determine how 3 metrics of ICU capacity strain (ICU census, new admissions, and average acuity) measured on days of patient discharges influence ICU length of stay (LOS) and post-ICU discharge outcomes.

designRetrospective cohort study from 2001 to 2008.

setting155 ICUs in the United States. PATIENTS: 200 730 adults discharged from ICUs to hospital floors. MEASUREMENTS: Associations between ICU capacity strain metrics and discharged patient ICU LOS, 72-hour ICU readmissions, subsequent in-hospital death, post-ICU discharge LOS, and hospital discharge destination.

resultsIncreases in the 3 strain variables on the days of ICU discharge were associated with shorter preceding ICU LOS (all P < 0.001) and increased odds of ICU readmissions (all P < 0.050). Going from the 5th to 95th percentiles of strain was associated with a 6.3-hour reduction in ICU LOS (95% CI, 5.3 to 7.3 hours) and a 1.0% increase in the odds of ICU readmission (CI, 0.6% to 1.5%). No strain variable was associated with increased odds of subsequent death, reduced odds of being discharged home from the hospital, or longer total hospital LOS. LIMITATION: Long-term outcomes could not be measured.

conclusionWhen ICUs are strained, triage decisions seem to be affected such that patients are discharged from the ICU more quickly and, perhaps consequentially, have slightly greater odds of being readmitted to the ICU. However, short-term patient outcomes are unaffected. These results suggest that bed availability pressures may encourage physicians to discharge patients from the ICU more efficiently and that ICU readmissions are unlikely to be causally related to patient outcomes. PRIMARY FUNDING SOURCE: Agency for Healthcare Research and Quality; National Heart, Lung, and Blood Institute; and Society of Critical Care Medicine.

Indexed as

Outcome Assessment, Health CarePatient DischargeAgedAged, 80 and overFemaleHospital MortalityHumansIntensive Care UnitsLength of StayMaleMiddle AgedPatient ReadmissionRetrospective StudiesTriageUnited States

Identifiers

PMID24081285
PMCPMC4212937

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.