Evidence map›Paper›PMID 34872546›Full record

ArticleBMC health services research2021

Characteristics and resource utilization of high-cost users in the intensive care unit: a population-based cohort study.

Claudia Dziegielewski, Robert Talarico, Haris Imsirovic, Danial Qureshi, Yasmeen Choudhri, Peter Tanuseputro, Laura H Thompson, Kwadwo Kyeremanteng

Abstract read
In one paragraph

Article in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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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

15 citing papers in PubMed.

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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

8 authors.

Claudia DziegielewskiDepartment of Medicine, University of Ottawa, Ontario, Ottawa, Canada. cldziegielewski@toh.ca.
Robert TalaricoICES, University of Ottawa, Ottawa, Ontario, Canada.
Haris ImsirovicICES, University of Ottawa, Ottawa, Ontario, Canada.
Danial QureshiICES, University of Ottawa, Ottawa, Ontario, Canada.
Yasmeen ChoudhriDepartment of Life Sciences, Queen's University, Kingston, Ontario, Canada.
Peter TanuseputroICES, University of Ottawa, Ottawa, Ontario, Canada.
Laura H ThompsonICES, University of Ottawa, Ottawa, Ontario, Canada.
Kwadwo KyeremantengDivision of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare expenditure within the intensive care unit (ICU) is costly. A cost reduction strategy may be to target patients accounting for a disproportionate amount of healthcare spending, or high-cost users. This study aims to describe high-cost users in the ICU, including health outcomes and cost patterns.

methodsWe conducted a population-based retrospective cohort study of patients with ICU admissions in Ontario from 2011 to 2018. Patients with total healthcare costs in the year following ICU admission (including the admission itself) in the upper 10th percentile were defined as high-cost users. We compared characteristics and outcomes including length of stay, mortality, disposition, and costs between groups.

resultsAmong 370,061 patients included, 37,006 were high-cost users. High-cost users were 64.2 years old, 58.3% male, and had more comorbidities (41.2% had ≥3) when likened to non-high cost users (66.1 years old, 57.2% male, 27.9% had ≥3 comorbidities). ICU length of stay was four times greater for high-cost users compared to non-high cost users (22.4 days, 95% confidence interval [CI] 22.0-22.7 days vs. 5.56 days, 95% CI 5.54-5.57 days). High-cost users had lower in-hospital mortality (10.0% vs.14.2%), but increased dispositioning outside of home (77.4% vs. 42.2%) compared to non-high-cost users. Total healthcare costs were five-fold higher for high-cost users ($238,231, 95% CI $237,020-$239,442) compared to non-high-cost users ($45,155, 95% CI $45,046-$45,264). High-cost users accounted for 37.0% of total healthcare costs.

conclusionHigh-cost users have increased length of stay, lower in-hospital mortality, and higher total healthcare costs when compared to non-high-cost users. Further studies into cost patterns and predictors of high-cost users are necessary to identify methods of decreasing healthcare expenditure.

Indexed as

HospitalizationIntensive Care UnitsAgedCohort StudiesFemaleHumansLength of StayMaleMiddle AgedRetrospective StudiesCostsCritically illHealthcare expenditureHigh-cost usersIntensive care unit

Identifiers

PMID34872546
PMCPMC8647444

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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.