Publications by Year: 2020

2020

Mitra, Anish R, Donald E G Griesdale, Gregory Haljan, Ashley O’Donoghue, and Jennifer P Stevens. (2020) 2020. “How the High Acuity Unit Changes Mortality in the Intensive Care Unit: A Retrospective Before-and-After Study.”. Canadian Journal of Anaesthesia = Journal Canadien D’anesthesie 67 (11): 1507-14. https://doi.org/10.1007/s12630-020-01775-5.

PURPOSE: High acuity units (HAU) are hospital units that provide patients with more acute care and closer monitoring than a general hospital ward but are not as resource intensive as an intensive care unit (ICU). Nevertheless, the impact of opening a HAU on ICU patient outcomes remains poorly defined. We investigated how the creation of a HAU impacted patient outcomes in the ICU.

METHODS: This historical cohort study compared ICU patient in-hospital mortality, ICU length of stay (LOS), and hospital LOS before and after the creation of a HAU in a tertiary-care hospital with a medical/surgical ICU between 1 January 2013 and 31 December 2017.

RESULTS: Data from 4,380 patients (984 in the pre-HAU group and 3,396 in the post-HAU group) were analyzed. In this cohort of ICU patients, 360 (37%) died in the pre-HAU group before the creation of a HAU, and 1,074 (32%) died in the post-HAU group after the creation of a HAU. The creation of a HAU was associated with lower relative risk of in-hospital mortality (adjusted risk ratio, 0.80; 95% confidence interval [CI], 0.72 to 0.89; P < 0.001). The creation of a HAU was also associated with reduced ICU and hospital LOS with a 12% increase in the rate of ICU discharge (adjusted sub-distribution hazard ratio [SHR], 1.12; 95% CI, 1.02 to 1.23; P = 0.02) and a 26% increase in the rate of hospital discharge (adjusted SHR, 1.26; 95% CI, 1.14 to 1.39; P < 0.001), when accounting for the competing risk of death.

CONCLUSIONS: These data support the hypothesis that the creation of a HAU may be associated with reduced in-hospital mortality, ICU LOS, and hospital LOS for ICU patients.

Schulson, Lucy B, Victor Novack, Patricia H Folcarelli, Jennifer P Stevens, and Bruce E Landon. (2020) 2020. “Inpatient Patient Safety Events in Vulnerable Populations: A Retrospective Cohort Study.”. BMJ Quality & Safety. https://doi.org/10.1136/bmjqs-2020-011920.

BACKGROUND: Widespread attention to structural racism has heightened interest in disparities in the quality of care delivered to racial/ethnic minorities and other vulnerable populations. These groups may also be at increased risk of patient safety events.

OBJECTIVE: To examine differences in inpatient patient safety events for vulnerable populations defined by race/ethnicity, insurance status and limited English proficiency (LEP).

DESIGN: Retrospective cohort study.

SETTING: Single tertiary care academic medical centre.

PARTICIPANTS: Inpatient admissions of those aged ≥18 years from 1 October 2014 to 31 December 2018.

MEASUREMENTS: Primary exposures of interest were self-identified race/ethnicity, Medicaid insurance/uninsured and LEP. The primary outcome of interest was the total number of patient safety events, defined as any event identified by a modified version of the Institute for Healthcare Improvement global trigger tool that automatically identifies patient safety events ('automated') from the electronic record or by the hospital-wide voluntary provider reporting system ('voluntary'). Negative binomial models were used to adjust for demographic and clinical factors. We also stratified results by automated and voluntary.

RESULTS: We studied 141 877 hospitalisations, of which 13.6% had any patient safety event. In adjusted analyses, Asian race/ethnicity was associated with a lower event rate (incident rate ratio (IRR) 0.89, 95% CI 0.83 to 0.96); LEP patients had a lower risk of any patient safety event and voluntary events (IRR 0.91, 95% CI 0.87 to 0.96; IRR 0.89, 95% CI 0.85 to 0.94). Asian and Latino race/ethnicity were also associated with a lower rate of voluntary events but no difference in risk of automated events. Black race was associated with an increased risk of automated events (IRR 1.11, 95% CI 1.03 to 1.20).

LIMITATIONS: This is a single centre study.

CONCLUSIONS: A commonly used method for monitoring patient safety problems, namely voluntary incident reporting, may underdetect safety events in vulnerable populations.