Evidence map›Paper›PMID 27661861›Full record

ArticleCritical care medicine2017

Hospital-Level Changes in Adult ICU Bed Supply in the United States.

David J Wallace, Christopher W Seymour, Jeremy M Kahn

Abstract read
In one paragraph

Article in Critical care medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

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

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  20. Gastrostomy Tube Use in the Critically Ill, 1994-2014.Annals of the American Thoracic Society · 2019
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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

3 authors.

David J Wallace1Clinical Research, Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA. 2Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA. 3Department of Health Policy and Management, University of Pittsburgh Graduate School of Public Health, Pittsburgh PA.
Christopher W Seymour
Jeremy M Kahn

Funding

Sepsis subtypes: biology, treatment, and bedside applicationR35GM119519 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Christopher W. Seymour · 2016 to 2026
$4.9M
Pre-hospital identification of high-risk sepsisK23GM104022 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SEYMOUR, CHRISTOPHER WARREN · 2013 to 2016
$674k
Understanding Regional Critical Care Delivery in Acute Respiratory FailureK08HL122478 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WALLACE, DAVID JOHN · 2015 to 2018
$606k
NHLBI NIH HHS K08 HL122478NIGMS NIH HHS K23 GM104022NIGMS NIH HHS R35 GM119519
6 · The paper itself

Abstract

objectivesAlthough the number of intensive care beds in the United States is increasing, little is known about the hospitals responsible for this growth. We sought to better characterize national growth in intensive care beds by identifying hospital-level factors associated with increasing numbers of intensive care beds over time.

designWe performed a repeated-measures time series analysis of hospital-level intensive care bed supply using data from Centers for Medicare and Medicaid Services.

settingAll United States acute care hospitals with adult intensive care beds over the years 1996-2011. PATIENTS: None.

interventionsNone. MEASUREMENTS AND MAIN

resultsWe described the number of beds, teaching status, ownership, intensive care occupancy, and urbanicity for each hospital in each year of the study. We then examined the relationship between increasing intensive care beds and these characteristics, controlling for other factors. The study included 4,457 hospitals and 55,865 hospital-years. Overall, the majority of intensive care bed growth occurred in teaching hospitals (net, +13,471 beds; 72.1% of total growth), hospitals with 250 or more beds (net, +18,327 beds; 91.8% of total growth), and hospitals in the highest quartile of occupancy (net, +10,157 beds; 54.0% of total growth). In a longitudinal multivariable model, larger hospital size, teaching status, and high intensive care occupancy were associated with subsequent-year growth. Furthermore, the effects of hospital size and teaching status were modified by occupancy: the greatest odds of increasing ICU beds were in hospitals with 500 or more beds in the highest quartile of occupancy (adjusted odds ratio, 18.9; 95% CI, 14.0-25.5; p < 0.01) and large teaching hospitals in the highest quartile of occupancy (adjusted odds ratio, 7.3; 95% CI, 5.3-9.9; p < 0.01).

conclusionsIncreasingly, intensive care bed expansion in the United States is occurring in larger hospitals and teaching centers, particularly following a year with high ICU occupancy.

Indexed as

AdultBed OccupancyCenters for Medicare and Medicaid Services, U.S.Hospital Bed CapacityHospitalsHumansIntensive Care UnitsUnited States

Identifiers

PMID27661861
PMCPMC5514420

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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.