Evidence map›Paper›PMID 25822402›Full record

ArticleJAMA internal medicine2015

Variability Among US Intensive Care Units in Managing the Care of Patients Admitted With Preexisting Limits on Life-Sustaining Therapies.

Joanna L Hart, Michael O Harhay, Nicole B Gabler, Sarah J Ratcliffe, Caroline M Quill, Scott D Halpern

Abstract readMulticenter Study
In one paragraph

Article in JAMA internal medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 2 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

65 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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5 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Joanna L HartDivision of Pulmonary, Allergy & Critical Care Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia2Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia3Fostering Imp.
Michael O HarhayLeonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia4Center for Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Nicole B GablerFostering Improvement in End-of-Life Decision Science Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia4Center for Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Sarah J RatcliffeCenter for Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Caroline M QuillDepartment of Medicine, Pulmonary Diseases and Critical Care, School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, New York.
Scott D HalpernDivision of Pulmonary, Allergy & Critical Care Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia2Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia3Fostering Imp.

Funding

Training in Critical Care Health Policy ResearchT32HL098054 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Scott D Halpern · 2010 to 2026
$8.2M
Comparative Efficacy, Acceptance and Effectiveness of Health Incentive StructuresR01CA159932 · NCI · UNIVERSITY OF PENNSYLVANIA · PI HALPERN, SCOTT D · 2010 to 2014
$3.0M
NCI NIH HHS R01 CA159932NCI NIH HHS R01CA159932NHLBI NIH HHS T32 HL098054
6 · The paper itself

Abstract

importanceAlthough the end-of-life care patients receive is known to vary across nations, regions, and centers, these differences are best explored within a group of patients with presumably similar care preferences.

objectiveTo examine the proportions of patients admitted to the intensive care unit (ICU) with limitations on life-sustaining treatments and the proportions of such patients who receive aggressive care across individual ICUs. DESIGN, SETTINGS, AND

participantsRetrospective cohort study using the Project IMPACT database (from April 1, 2001, to December 31, 2008) including 141 ICUs in 105 hospitals in the United States and 277,693 ICU patient visits. We used logistic regression analysis models adjusted for available patient characteristics and clustered visits by individual ICU. The full analysis was last performed in October 2014. MAIN OUTCOMES AND MEASURES: Outcomes included the provision of (1) cardiopulmonary resuscitation, (2) new forms of life support, and the (3) addition or (4) reversal of treatment limitations.

resultsOf the ICU admissions evaluated, 4.8% (95% CI, 4.7%-4.9%) had previously established treatment limitations. Patients admitted with treatment limitations were more likely to be older with more functional limitations and comorbidities. Among patients who survived to hospital discharge, more experienced reversals of existing treatment limitations during the ICU stay (17.8% [95% CI, 17.0%-18.7%]) than additions of new limits (11.7% [95% CI, 11.1%-12.4%]) (P < .01). Among patients who died, 15.7% (95% CI, 14.7-16.8%) had received cardiopulmonary resuscitation. After risk adjustment, ICUs varied widely in the proportions of patients admitted with treatment limitations (median, 4.0%; range, <1.0%-20.9%), the proportions of those who received cardiopulmonary resuscitation (37.7% [95% CI, 3.8%-92.4%]), the proportions of new forms of life support (30.0% [95% CI, 6.0%-84.2%]), and, among survivors, the proportion who had new treatment limitations established (11.2% [95% CI, 1.9%-57.3%]) and reversal of treatment limitations during or following ICU admission (20.2% [95% CI, 1.8%-76.2%]). The observed variability could not be consistently explained using measurable center-level characteristics. CONCLUSIONS AND RELEVANCE: Intensive care units vary dramatically in how they manage care for patients admitted with treatment limitations. Among patients who survive, escalations in the aggressiveness of care are more common during the ICU stay than are de-escalations in aggressiveness. This study cannot directly measure whether care received was consistent with patients' preferences but suggests that ICU culture and physicians' practice styles contribute to the aggressiveness of care.

Indexed as

Advance Directive AdherenceAdvance DirectivesAgedAged, 80 and overCardiopulmonary ResuscitationFemaleHumansIntensive Care UnitsLife Support CareLogistic ModelsMaleMiddle AgedRetrospective StudiesUnited States

Identifiers

PMID25822402
PMCPMC4451380

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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.