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. 2022 Nov 1;50(11):1566-1576.
doi: 10.1097/CCM.0000000000005638. Epub 2022 Aug 16.

A Multiple Baseline Trial of an Electronic ICU Discharge Summary Tool for Improving Quality of Care

Henry T Stelfox  1   2   3 , Rebecca Brundin-Mather  1 , Andrea Soo  1 , Liam Whalen-Browne  1 , Devika Kashyap  1 , Khara M Sauro  1   2 , Sean M Bagshaw  4 , Kirsten M Fiest  1   2   3 , Monica Taljaard  5   6 , Jeanna Parsons Leigh  1   2   3   7
Affiliations

A Multiple Baseline Trial of an Electronic ICU Discharge Summary Tool for Improving Quality of Care

Henry T Stelfox et al. Crit Care Med. .

Abstract

Objective: Effective communication between clinicians is essential for seamless discharge of patients between care settings. Yet, discharge summaries are commonly not available and incomplete. We implemented and evaluated a structured electronic health record-embedded electronic discharge (eDischarge) summary tool for patients discharged from the ICU to a hospital ward.

Design: Multiple baseline trial with randomized and staggered implementation.

Setting: Adult medical-surgical ICUs at four acute care hospitals serving a single Canadian city.

Patients: Health records of patients 18 years old or older, in the ICU 24 hours or longer, and discharged from the ICU to an in-hospital patient ward between February 12, 2018, and June 30, 2019.

Intervention: A structured electronic note (ICU eDischarge tool) with predefined fields (e.g., diagnosis) embedded in the hospital-wide electronic health information system.

Measurements and main results: We compared the percent of timely (available at discharge) and complete (included goals of care designation, diagnosis, list of active issues, active medications) discharge summaries pre and post implementation using mixed effects logistic regression models. After implementing the ICU eDischarge tool, there was an immediate and sustained increase in the proportion of patients discharged from ICU with timely and complete discharge summaries from 10.8% (preimplementation period) to 71.1% (postimplementation period) (adjusted odds ratio, 32.43; 95% CI, 18.22-57.73). No significant changes were observed in rapid response activation, cardiopulmonary arrest, death in hospital, ICU readmission, and hospital length of stay following ICU discharge. Preventable (60.1 vs 5.7 per 1,000 d; p = 0.023), but not nonpreventable (27.3 vs 40.2 per 1,000d; p = 0.54), adverse events decreased post implementation. Clinicians perceived the eDischarge tool to produce a higher quality discharge process.

Conclusions: Implementation of an electronic tool was associated with more timely and complete discharge summaries for patients discharged from the ICU to a hospital ward.

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Conflict of interest statement

Dr. Stelfox’s institution received funding from the Canadian Institutes of Health Research; he received funding from Workers’ Compensation Board, Alberta; he disclosed that this work was conducted in partnership with Alberta Health Services. Ms. Brundin-Mather received Research Associate salary support from grants supporting this work. Dr. Bagshaw received funding from Baxter and BioPorto; he reports grants, consulting fees, and honoraria from Baxter, outside the submitted work; he participates on the data safety monitoring board of An Adaptive Platform Trial for Critically Ill Patients (I-SPY COVID) trial and the advisory board of BioPorto. The remaining authors have disclosed that they do not have any potential conflicts of interest.

Comment in

References

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