Evidence map›Paper›PMID 32822492›Full record

Observational studyJAMA network open2020

Assessment of Costs of Avoidable Delays in Intensive Care Unit Discharge.

Sean M Bagshaw, Dat T Tran, Dawn Opgenorth, Xiaoming Wang, Danny J Zuege, Armann Ingolfsson, Henry T Stelfox, Nguyen X Thanh

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
4.8field-weighted citation impact, top 4% of its field
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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 42 citations in OpenAlex.

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  13. Approach to Intensive Care Costing and Provision of Cost-effective Care.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2023
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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 at 4 institutions in 1 country.

Sean M BagshawDepartment of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada.
Dat T TranInstitute of Health Economics, Edmonton, Alberta, Canada.
Dawn OpgenorthDepartment of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada.
Xiaoming WangHealth Services Statistical and Analytic Methods, Alberta Health Services, Edmonton, Canada.
Danny J ZuegeCritical Care Strategic Clinical Network, Alberta Health Services, Edmonton, Canada.
Armann IngolfssonAlberta School of Business, University of Alberta, Edmonton, Canada.
Henry T StelfoxCritical Care Strategic Clinical Network, Alberta Health Services, Edmonton, Canada.
Nguyen X ThanhSchool of Public Health, University of Alberta, Edmonton, Canada.
University of Alberta · CAAlberta Health Services · CAInstitute of Health Economics · CALibin Cardiovascular Institute of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Delays in transfer for discharge-ready patients from the intensive care unit (ICU) are increasingly described and contribute to strained capacity. Objective: To describe the epidemiological features and health care costs attributable to potentially avoidable delays in ICU discharge in a large integrated health care system. Design, Setting, and Participants: This population-based cohort study was performed in 17 adult ICUs in Alberta, Canada, from June 19, 2012, to December 31, 2016. Participants were patients 15 years or older admitted to a study ICU during the study period. Data were analyzed from October 19, 2018, to May 20, 2020. Exposures: Avoidable time in the ICU, defined as the portion of total ICU patient-days accounted for by avoidable delay in ICU discharge (eg, waiting for a ward bed). Main Outcomes and Measures: The primary outcome was health care costs attributable to avoidable time in the ICU. Secondary outcomes were factors associated with avoidable time, in-hospital mortality, and measures of use of health care resources, including the number of hours in the ICU and the number of days of hospitalization. Multilevel mixed multivariable regression was used to assess associations between avoidable time and outcomes. Results: In total, 28 904 patients (mean [SD] age, 58.3 [16.8] years; 18 030 male [62.4%]) were included. Of these, 19 964 patients (69.1%) had avoidable time during their ICU admission. The median avoidable time per patient was 7.2 (interquartile range, 2.4-27.7) hours. In multivariable analysis, male sex (odds ratio [OR], 0.92; 95% CI, 0.87-0.98), comorbid hemiplegia or paraplegia (OR 1.47; 95% CI, 1.23-1.75), liver disease (OR 1.20; 95% CI, 1.04-1.37), admission Acute Physiology and Chronic Health Evaluation II score (OR, 1.03; 95% CI, 1.02-1.03), surgical status (OR, 0.90; 95% CI, 0.82-0.98), medium community hospital type (OR, 0.12; 95% CI, 0.04-0.32), and admission year (OR, 1.16; 95% CI, 1.13-1.19) were associated with avoidable time. The cumulative avoidable time was 19 373.9 days, with estimated attributable costs of CAD$34 323 522. Avoidable time accounted for 12.8% of total ICU bed-days and 6.4% of total ICU costs. Patients with avoidable time before ICU discharge showed higher unadjusted in-hospital mortality (1115 [5.6%] vs 392 [4.4%]; P < .001); however, in multivariable analysis, avoidable time was associated with reduced in-hospital mortality (adjusted hazard ratio, 0.74; 95% CI, 0.64-0.85). Results were similar in sensitivity analyses. Conclusions and Relevance: In this study, potentially avoidable discharge delay occurred for most patients admitted to ICUs across a large integrated health system and translated into substantial associated health care costs.

Indexed as

Critical CarePatient DischargeAdultAgedAlbertaCohort StudiesFemaleHealth Care CostsHumansMaleMiddle AgedTime Factors

Identifiers

PMID32822492
PMCPMC7439109
OpenAlexW3073291700

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.