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Observational Study
. 2020 Aug 3;3(8):e2013913.
doi: 10.1001/jamanetworkopen.2020.13913.

Assessment of Costs of Avoidable Delays in Intensive Care Unit Discharge

Sean M Bagshaw  1   2   3 , Dat T Tran  4   5 , Dawn Opgenorth  1 , Xiaoming Wang  6 , Danny J Zuege  2   7 , Armann Ingolfsson  8 , Henry T Stelfox  2   7   9 , Nguyen X Thanh  3   10
Affiliations
Observational Study

Assessment of Costs of Avoidable Delays in Intensive Care Unit Discharge

Sean M Bagshaw et al. JAMA Netw Open. .

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.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr Bagshaw reported receiving a Canada Research Chair in Critical Care Nephrology, grants and personal fees from Baxter International, Inc, nonfinancial support from Spectral Medical, Inc, and personal fees from CNA Diagnostics, Inc, outside the submitted work. Dr Stelfox reported receiving a Canadian Institutes of Health Research Embedded Clinician Researcher Award. No other disclosures were reported.

Figures

Figure 1.
Figure 1.. Patient Selection Flowchart
ICU indicates intensive care unit.
Figure 2.
Figure 2.. Monthly Mean Avoidable Time During the Study Period
See this image and copyright information in PMC

References

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