A Quality Improvement Project to Reduce Rapid Response System Inequities for Patients with Limited English Proficiency at a Quaternary Academic Medical Center.


Journal

Journal of general internal medicine
ISSN: 1525-1497
Titre abrégé: J Gen Intern Med
Pays: United States
ID NLM: 8605834

Informations de publication

Date de publication:
21 Feb 2024
Historique:
received: 26 04 2023
accepted: 06 02 2024
medline: 21 2 2024
pubmed: 21 2 2024
entrez: 21 2 2024
Statut: aheadofprint

Résumé

Recognition of clinically deteriorating hospitalized patients with activation of rapid response (RR) systems can prevent patient harm. Patients with limited English proficiency (LEP), however, experience less benefit from RR systems than do their English-speaking counterparts. To improve outcomes among hospitalized LEP patients experiencing clinical deteriorations. Quasi-experimental pre-post design using quality improvement (QI) statistics. All adult hospitalized non-intensive care patients with LEP who were admitted to a large academic medical center from May 2021 through March 2023 and experienced RR system activation were included in the evaluation. All patients included after May 2022 were exposed to the intervention. Implementation of a modified RR system for LEP patients in May 2022 that included electronic dashboard monitoring of early warning scores (EWSs) based on electronic medical record data; RR nurse initiation of consults or full RR system activation; and systematic engagement of interpreters. Process of care measures included monthly rates of RR system activation, critical response nurse consultations, and disease severity scores prior to activation. Main outcomes included average post-RR system activation length of stay, escalation of care, and in-hospital mortality. Analyses used QI statistics to identify special cause variation in pre-post control charts based on monthly data aggregates. In total, 222 patients experienced at least one RR system activation during the study period. We saw no special cause variation for process measures, or for length of hospitalization or escalation of care. There was, however, special cause variation in mortality rates with an overall pre-post decrease in average monthly mortality from 7.42% (n = 8/107) to 6.09% (n = 7/115). In this pilot study, prioritized tracking, utilization of EWS-triggered evaluations, and interpreter integration into the RR system for LEP patients were feasible to implement and showed promise for reducing post-RR system activation mortality.

Sections du résumé

BACKGROUND BACKGROUND
Recognition of clinically deteriorating hospitalized patients with activation of rapid response (RR) systems can prevent patient harm. Patients with limited English proficiency (LEP), however, experience less benefit from RR systems than do their English-speaking counterparts.
OBJECTIVE OBJECTIVE
To improve outcomes among hospitalized LEP patients experiencing clinical deteriorations.
DESIGN METHODS
Quasi-experimental pre-post design using quality improvement (QI) statistics.
PARTICIPANTS METHODS
All adult hospitalized non-intensive care patients with LEP who were admitted to a large academic medical center from May 2021 through March 2023 and experienced RR system activation were included in the evaluation. All patients included after May 2022 were exposed to the intervention.
INTERVENTIONS METHODS
Implementation of a modified RR system for LEP patients in May 2022 that included electronic dashboard monitoring of early warning scores (EWSs) based on electronic medical record data; RR nurse initiation of consults or full RR system activation; and systematic engagement of interpreters.
MAIN MEASURES METHODS
Process of care measures included monthly rates of RR system activation, critical response nurse consultations, and disease severity scores prior to activation. Main outcomes included average post-RR system activation length of stay, escalation of care, and in-hospital mortality. Analyses used QI statistics to identify special cause variation in pre-post control charts based on monthly data aggregates.
KEY RESULTS RESULTS
In total, 222 patients experienced at least one RR system activation during the study period. We saw no special cause variation for process measures, or for length of hospitalization or escalation of care. There was, however, special cause variation in mortality rates with an overall pre-post decrease in average monthly mortality from 7.42% (n = 8/107) to 6.09% (n = 7/115).
CONCLUSIONS CONCLUSIONS
In this pilot study, prioritized tracking, utilization of EWS-triggered evaluations, and interpreter integration into the RR system for LEP patients were feasible to implement and showed promise for reducing post-RR system activation mortality.

Identifiants

pubmed: 38381243
doi: 10.1007/s11606-024-08678-x
pii: 10.1007/s11606-024-08678-x
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill
ID : ECBR2107

Informations de copyright

© 2024. The Author(s), under exclusive licence to Society of General Internal Medicine.

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Auteurs

Lauren Raff (L)

Department of Surgery, Division of Trauma and Acute Care Surgery, University of North Carolina School of Medicine, 4008 Burnett-Womack Building, Campus Box 70, Chapel Hill, NC, 27599, USA.

Andrew G Blank (AG)

Division of Hospital Medicine, Department of Medicine, University of North Carolina School of Medicine, 101 Manning Drive, Campus Box 7085, Chapel Hill, NC, 27599, USA.

Ricardo Crespo Regalado (R)

University of North Carolina School of Medicine, 321 South Columbia Street, Chapel Hill, NC, 27599, USA.

Emily Bulik-Sullivan (E)

University of North Carolina School of Medicine, 321 South Columbia Street, Chapel Hill, NC, 27599, USA.

Lindsey Phillips (L)

Division of Hospital Medicine, Department of Medicine, University of North Carolina School of Medicine, 101 Manning Drive, Campus Box 7085, Chapel Hill, NC, 27599, USA.

Carlton Moore (C)

Division of Hospital Medicine, Department of Medicine, University of North Carolina School of Medicine, 101 Manning Drive, Campus Box 7085, Chapel Hill, NC, 27599, USA.

Lilia Galvan Miranda (L)

Department of Interpreter Services, University of North Carolina Health, 101 Manning Drive, Chapel Hill, NC, 27514, USA.

Evan Raff (E)

Division of Hospital Medicine, Department of Medicine, University of North Carolina School of Medicine, 101 Manning Drive, Campus Box 7085, Chapel Hill, NC, 27599, USA. evan_raff@med.unc.edu.

Classifications MeSH