Evidence map›Paper›PMID 26308432›Full record

ReviewCritical care medicine2015

Critical Care Medicine Beds, Use, Occupancy, and Costs in the United States: A Methodological Review.

Neil A Halpern, Stephen M Pastores

Abstract readComparative StudyReview
In one paragraph

Review in Critical care medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing 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

68 citing papers in PubMed.

  1. An Established Early Rehabilitation Therapy Demonstrating Higher Efficacy and Safety for Care of Intensive Care Unit Patients.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Trial
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  5. Critical illness expands a transcriptionally distinct hypometabolic CD8bioRxiv : the preprint server for biology · 2026
    Article
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  7. Observational
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  13. Observational
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  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Neil A Halpern1Department of Anesthesiology and Critical Care Medicine, Memorial Sloan Kettering Cancer Center, New York, NY. 2Departments of Anesthesiology and Medicine, Weill Cornell Medical College New York, NY.
Stephen M Pastores

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

This article is a methodological review to help the intensivist gain insights into the classic and sometimes arcane maze of national databases and methodologies used to determine and analyze the ICU bed supply, use, occupancy, and costs in the United States. Data for total ICU beds, use, and occupancy can be derived from two large national healthcare databases: the Healthcare Cost Report Information System maintained by the federal Centers for Medicare and Medicaid Services and the proprietary Hospital Statistics of the American Hospital Association. Two costing methodologies can be used to calculate U.S. ICU costs: the Russell equation and national projections. Both methods are based on cost and use data from the national hospital datasets or from defined groups of hospitals or patients. At the national level, an understanding of U.S. ICU bed supply, use, occupancy, and costs helps provide clarity to the width and scope of the critical care medicine enterprise within the U.S. healthcare system. This review will also help the intensivist better understand published studies on administrative topics related to critical care medicine and be better prepared to participate in their own local hospital organizations or regional critical care medicine programs.

Indexed as

Hospital CostsBed OccupancyCost-Benefit AnalysisCritical CareDatabases, FactualEmergency MedicineFemaleHumansIntensive Care UnitsMaleUnited States

Identifiers

PMID26308432
PMCPMC5520980

What OpenQuestion holds

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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.