Evidence map›Paper›PMID 32495192›Full record

ArticleLung2020

A Cross-sectional Study of Hospital Performance on ICU Utilization Practices for Patients with Chronic Obstructive Pulmonary Disease.

Kusum S Mathews, Neha N Goel, Carmen Vargas-Torres, Ashley D Olson, Jing Zhou, Charles A Powell, Madhu Mazumdar, Gregory N Stock, Christopher M McDermott

Abstract read
In one paragraph

Article in Lung, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Article
  2. Article
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

9 authors.

Kusum S MathewsDivision of Pulmonary, Critical Care, & Sleep Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1232, New York, NY, USA.
Neha N GoelDivision of Pulmonary, Critical Care, & Sleep Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1232, New York, NY, USA. neha.goel@mountsinai.org.ORCID 0000-0001-7295-2033
Carmen Vargas-TorresDepartment of Emergency Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Ashley D OlsonDepartment of Population Health Science and Policy, Institute for Healthcare Delivery Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jing ZhouDepartment of Population Health Science and Policy, Institute for Healthcare Delivery Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Charles A PowellDivision of Pulmonary, Critical Care, & Sleep Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1232, New York, NY, USA.
Madhu MazumdarDepartment of Population Health Science and Policy, Institute for Healthcare Delivery Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Gregory N StockCollege of Business, University of Colorado at Colorado Springs, Colorado Springs, CO, USA.
Christopher M McDermottLally School of Management, Rensselaer Polytechnic Institute, Troy, NY, USA.

Funding

MOUNT SINAI EMERGENCY MEDICINE RESEARCH CAREER DEVELOPMENT PROGRAMK12HL109005 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI RICHARDSON, LYNNE D. · 2011 to 2015
$3.9M
Optimizing ED to ICU triage decisions for critically ill patients in respiratory distressK23HL130648 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MATHEWS, KUSUM SARA · 2016 to 2021
$744k
NHLBI NIH HHS K12 HL109005NHLBI NIH HHS K23 HL130648
6 · The paper itself

Abstract

purposeIntensive care unit (ICU) resources are a costly but effective commodity used in the management of critically ill patients with chronic obstructive pulmonary disease (COPD). ICU admission decisions are determined by patient diagnosis and severity of illness, but also may be affected by hospital differences in quality and performance. We investigate the variability in ICU utilization for patients with COPD and its association with hospital characteristics.

methodsUsing a 3M administrative dataset spanning 2008-2013, we conducted a retrospective cohort study of adult patients discharged with COPD at hospitals in three state to determine variability in ICU utilization. Quality metrics were calculated for each hospital using observed-to-expected (O/E) ratios for overall mortality and length of stay. Logistic and multilevel multivariate regression models were constructed, estimating the association between hospital quality metrics on ICU utilization, after adjustment for available clinical factors and hospital characteristics.

resultsIn 434 hospitals with 570,517 COPD patient visits, overall ICU admission rate was 33.1% [range 0-89%; median (IQR) 24% (8, 54)]. The addition of patient, hospital, and quality characteristics decreased the overall variability attributable to individual hospital differences seen within our cohort from 40.9 to 33%. Odds of ICU utilization were increased for larger hospitals and those seeing lower pulmonary case volume. Hospitals with better overall O/E ratios for length of stay or mortality had lower ICU utilization.

conclusionsHospital characteristics, including quality metrics, are associated with variability in ICU utilization for COPD patients, with higher ICU utilization seen for lower performing hospitals.

Indexed as

MortalityQuality of Health CareAgedCross-Sectional StudiesFemaleHospitalizationHospitalsHospitals, High-VolumeHospitals, Low-VolumeHumansIntensive Care UnitsLength of StayLogistic ModelsMaleMiddle AgedMultilevel AnalysisCOPDICU managementICU outcomePatient outcomes

Identifiers

PMID32495192
PMCPMC7791596

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Registered trials

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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.