Admitting Hospital Influences on Withdrawal of Life-Sustaining Treatment Decision for Patients With Severe Traumatic Brain Injury

Author:

Malhotra Armaan K123,Shakil Husain123,Smith Christopher W.12,Mathieu Francois14,Merali Zamir1,Jaffe Rachael H.3,Harrington Erin M.12,He Yingshi12,Wijeysundera Duminda N.2356,Kulkarni Abhaya V.37,Ladha Karim2356,Wilson Jefferson R.123,Nathens Avery B.38,Witiw Christopher D.123ORCID

Affiliation:

1. Division of Neurosurgery, St. Michael's Hospital, Toronto, Ontario, Canada;

2. Li Ka Shing Knowledge Institute, Toronto, Ontario, Canada;

3. Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada;

4. Interdepartmental Division of Critical Care, University of Toronto, Toronto, Ontario, Canada;

5. Department of Anesthesia, St. Michael's Hospital, Toronto, Ontario, Canada;

6. Department of Anesthesiology and Pain Medicine, University of Toronto, Toronto, Ontario, Canada;

7. Division of Neurosurgery, Hospital for Sick Children, Toronto, Ontario, Canada;

8. Division of General Surgery, Sunnybrook Health Sciences Center, Toronto, Ontario, Canada

Abstract

BACKGROUND AND OBJECTIVES: Withdrawal of life-sustaining treatment (WLST) in severe traumatic brain injury (TBI) is complex, with a paucity of standardized guidelines. We aimed to assess the variability in WLST practices between trauma centers in North America. METHODS: This retrospective study used data from trauma centers through the American College of Surgeons Trauma Quality Improvement Program between 2017 and 2020. We included adult patients (>16 years) with severe TBI and a documented decision for WLST. We constructed a series of hierarchical logistic regression models to adjust for patient, injury, and hospital attributes influencing WLST; residual between-center variability was characterized using the median odds ratio. The impact of disparate WLST practices was further assessed by ranking centers by their conditional random intercept and assessing mortality, length of stay, and WLST between quartiles. RESULTS: We identified a total of 85 511 subjects with severe TBI treated across 510 trauma centers, of whom 20 300 (24%) had WLST. Patient-level factors associated with increased likelihood of WLST were advanced age, White race, self-pay, or Medicare insurance status (compared with private insurance). Black race was associated with reduced tendency for WLST. Treatment in nonprofit centers and higher-severity intracranial and extracranial injuries, midline shift, and pupil asymmetry also increased the likelihood for WLST. After adjustment for patient and hospital attributes, the median odds ratio was 1.45 (1.41-1.49 95% CI), suggesting residual variation in WLST between centers. When centers were grouped into quartiles by their propensity for WLST, there was increased adjusted mortality and shorter length of stay in fourth compared with first quartile centers. CONCLUSION: We highlighted the presence of contextual phenomena associated with disparate WLST practice patterns between trauma centers after adjustment for case-mix and hospital attributes. These findings highlight a need for standardized WLST guidelines to improve equity of care provision for patients with severe TBI.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Neurology (clinical),Surgery

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