Measuring Emergency Department Workload Perception Using Electronic Medical Record Measures of Patient Volume and Acuity.

EMR administration attending perception crowding emergency medicine measures evaluation measures electronic medical record metrics residency feedback form workload

Journal

The Journal of emergency medicine
ISSN: 0736-4679
Titre abrégé: J Emerg Med
Pays: United States
ID NLM: 8412174

Informations de publication

Date de publication:
Mar 2024
Historique:
received: 30 11 2022
revised: 18 09 2023
accepted: 01 10 2023
pubmed: 1 3 2024
medline: 1 3 2024
entrez: 29 2 2024
Statut: ppublish

Résumé

Workload in the emergency department (ED) fluctuates and there is no established model for measurement of clinician-level ED workload. The aim of this study was to measure perceived ED workload and assess the relationship between perceived workload and objective measures of workload from the electronic medical record (EMR). This study was conducted at a tertiary care, academic ED from July 1, 2020 through April 13, 2021. Attending workload perceptions were collected using a 5-point scale in three care areas with variable acuity. We collected eight EMR measures thought to correlate with perceived workload. EMR values were compared across areas of the department using ANOVA and correlated with attending workload ratings using linear regression. We collected 315 unique workload ratings, which were normally distributed. For the entire department, there was a weak positive correlation between reported workload perception and mean percentage of inpatient admissions (r = 0.23; p < 0.001), intensive care unit admissions (r = 0.2; p < 0.001), patient arrivals per shift (r = 0.14; p = 0.017), critical care billed visits (r = 0.22; p < 0.001), cardiopulmonary resuscitation code activations (r = 0.2; p < 0.001), and level 5 visits (r = 0.13; p = 0.02). There was weak negative correlation for ED discharges (r = -0.23; p < 0.001). Several correlations were stronger in individual care areas, including percent admissions in the lowest-acuity area (r = 0.43; p = 0.033) and patient arrivals in the highest-acuity area (r = 0.44; p < .01). No significant correlation was found in any area for observation admissions or trauma activations. In this study, EMR measures of workload were not closely correlated with ED attending physician workload perception. Future study should examine additional factors contributing to physician workload outside of the EMR.

Sections du résumé

BACKGROUND BACKGROUND
Workload in the emergency department (ED) fluctuates and there is no established model for measurement of clinician-level ED workload.
OBJECTIVE OBJECTIVE
The aim of this study was to measure perceived ED workload and assess the relationship between perceived workload and objective measures of workload from the electronic medical record (EMR).
METHODS METHODS
This study was conducted at a tertiary care, academic ED from July 1, 2020 through April 13, 2021. Attending workload perceptions were collected using a 5-point scale in three care areas with variable acuity. We collected eight EMR measures thought to correlate with perceived workload. EMR values were compared across areas of the department using ANOVA and correlated with attending workload ratings using linear regression.
RESULTS RESULTS
We collected 315 unique workload ratings, which were normally distributed. For the entire department, there was a weak positive correlation between reported workload perception and mean percentage of inpatient admissions (r = 0.23; p < 0.001), intensive care unit admissions (r = 0.2; p < 0.001), patient arrivals per shift (r = 0.14; p = 0.017), critical care billed visits (r = 0.22; p < 0.001), cardiopulmonary resuscitation code activations (r = 0.2; p < 0.001), and level 5 visits (r = 0.13; p = 0.02). There was weak negative correlation for ED discharges (r = -0.23; p < 0.001). Several correlations were stronger in individual care areas, including percent admissions in the lowest-acuity area (r = 0.43; p = 0.033) and patient arrivals in the highest-acuity area (r = 0.44; p < .01). No significant correlation was found in any area for observation admissions or trauma activations.
CONCLUSIONS CONCLUSIONS
In this study, EMR measures of workload were not closely correlated with ED attending physician workload perception. Future study should examine additional factors contributing to physician workload outside of the EMR.

Identifiants

pubmed: 38423864
pii: S0736-4679(23)00489-4
doi: 10.1016/j.jemermed.2023.10.004
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e374-e380

Informations de copyright

Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of competing interest None.

Auteurs

DaMarcus E Baymon (DE)

Department of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts. Electronic address: dbaymon@bwh.harvard.edu.

Eric Shappell (E)

Harvard Medical School, Boston, Massachusetts; Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts.

Yoon Soo Park (YS)

Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts.

Emily Aaronson (E)

Harvard Medical School, Boston, Massachusetts; Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts.

Daniel J Egan (DJ)

Harvard Medical School, Boston, Massachusetts; Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts.

Ali S Raja (AS)

Harvard Medical School, Boston, Massachusetts; Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts.

Brian J Yun (BJ)

Department of Emergency Medicine, Boston Medical Center, Boston, Massachusetts.

Classifications MeSH