Using Quality Indicator Codes to Identify Patients' Fall Risk in Inpatient Rehabilitation Facilities.

Accidental falls Healthcare Projections and predictions Quality indicators Rehabilitation centers

Journal

Archives of physical medicine and rehabilitation
ISSN: 1532-821X
Titre abrégé: Arch Phys Med Rehabil
Pays: United States
ID NLM: 2985158R

Informations de publication

Date de publication:
09 2023
Historique:
received: 30 09 2022
revised: 01 03 2023
accepted: 04 03 2023
medline: 5 9 2023
pubmed: 7 4 2023
entrez: 6 4 2023
Statut: ppublish

Résumé

To discover if quality indicator (QI) codes are associated with patient falls in inpatient rehabilitation facilities (IRFs). This retrospective cohort study explored differences between patients who fell and those who did not fall. We analyzed potential associations between QI codes and falls using univariable and multivariable logistic regression models. We collected data from electronic medical records at 4 IRFs. In 2020, our 4 data collection sites admitted and discharged a total of 1742 patients older than 14 years . We only excluded patients (N=43) from statistical analysis if they were discharged before admission data had been assigned. Not applicable. Using a data extraction report, we collected age, sex, race and ethnicity, diagnosis, falls, and QI codes for communication, self-care, and mobility performance. Staff documented communication codes on a 1-4 scale and self-care and mobility codes on a 1-6 scale, with higher codes representing greater independence. Ninety-seven patients (5.71%) fell in the 4 IRFs over a 12-month period. The group who fell had lower QI codes for communication, self-care, and mobility. When adjusting for bed mobility, transfer, and stair-climbing ability, low performance with understanding, walking 10 feet, and toileting were significantly associated with falls. Patients with admission QI codes below 4 for understanding had 78% higher odds of falling. If they were assigned admission QI codes below 3 for walking 10 feet or toileting, they had 2 times greater odds of falling. We did not find a significant association between falls and patients' diagnosis, age, sex, or race and ethnicity in our sample. Communication, self-care, and mobility QI codes appear to be significantly associated with falls. Future research should explore how to use these required codes to better identify patients likely to fall in IRFs.

Identifiants

pubmed: 37024006
pii: S0003-9993(23)00182-X
doi: 10.1016/j.apmr.2023.03.011
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1394-1401

Informations de copyright

Copyright © 2023 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Auteurs

Jonathan R Wright (JR)

Rehabilitation Services, Intermountain Healthcare, Salt Lake City, Utah; Doctor of Physical Therapy Department, Rocky Mountain University, Provo, Utah. Electronic address: jonathan.wright@rm.edu.

Jamie D'Ausilio (J)

Rehabilitation Services, Intermountain Healthcare, Salt Lake City, Utah.

Janene M Holmberg (JM)

Rehabilitation Services, Intermountain Healthcare, Salt Lake City, Utah.

Misti Timpson (M)

Rehabilitation Services, Intermountain Healthcare, Salt Lake City, Utah; Doctor of Physical Therapy Department, Rocky Mountain University, Provo, Utah.

Trevor Preston (T)

Enterprise Analytics, Intermountain Medical Center, Murray, Utah.

Devyn Woodfield (D)

Enterprise Analytics, Intermountain Medical Center, Murray, Utah.

Gregory L Snow (GL)

Statistical Data Center, Intermountain Medical Center, Murray, Utah.

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Classifications MeSH