Identifying patients who access musculoskeletal physical therapy: a retrospective cohort analysis.

Access to care health services musculoskeletal/connective tissue disorder orthopaedics patient adherence physical therapy/physiotherapy

Journal

Family practice
ISSN: 1460-2229
Titre abrégé: Fam Pract
Pays: England
ID NLM: 8500875

Informations de publication

Date de publication:
17 06 2021
Historique:
pubmed: 13 10 2020
medline: 26 10 2021
entrez: 12 10 2020
Statut: ppublish

Résumé

Musculoskeletal conditions are common and cause high levels of disability and costs. Physical therapy is recommended for many musculoskeletal conditions. Past research suggests that referral rates appear to have increased over time, but the rate of accessing a physical therapist appears unchanged. Our retrospective cohort study describes the rate of physical therapy use after referral for a variety of musculoskeletal diagnoses while comparing users and non-users of physical therapy services after referral. The study sample included patients in the University of Utah Health system who received care from a medical provider for a musculoskeletal condition. We included a comprehensive set of variables available in the electronic data warehouse possibly associated with attending physical therapy. Our primary analysis compared differences in patient factors between physical therapy users and non-users using Poisson regression. 15 877 (16%) patients had a referral to physical therapy, and 3812 (24%) of these patients accessed physical therapy after referral. Most of the factors included in the model were associated with physical therapy use except for sex and number of comorbidities. The receiver operating characteristic curve was 0.63 suggesting poor predictability of the model but it is likely related to the heterogeneity of the sample. We found that obesity, ethnicity, public insurance and urgent care referrals were associated with poor adherence to physical therapy referral. However, the limited predictive power of our model suggests a need for a deeper examination into factors that influence patients access to a physical therapist.

Sections du résumé

BACKGROUND
Musculoskeletal conditions are common and cause high levels of disability and costs. Physical therapy is recommended for many musculoskeletal conditions. Past research suggests that referral rates appear to have increased over time, but the rate of accessing a physical therapist appears unchanged.
OBJECTIVE
Our retrospective cohort study describes the rate of physical therapy use after referral for a variety of musculoskeletal diagnoses while comparing users and non-users of physical therapy services after referral.
METHODS
The study sample included patients in the University of Utah Health system who received care from a medical provider for a musculoskeletal condition. We included a comprehensive set of variables available in the electronic data warehouse possibly associated with attending physical therapy. Our primary analysis compared differences in patient factors between physical therapy users and non-users using Poisson regression.
RESULTS
15 877 (16%) patients had a referral to physical therapy, and 3812 (24%) of these patients accessed physical therapy after referral. Most of the factors included in the model were associated with physical therapy use except for sex and number of comorbidities. The receiver operating characteristic curve was 0.63 suggesting poor predictability of the model but it is likely related to the heterogeneity of the sample.
CONCLUSIONS
We found that obesity, ethnicity, public insurance and urgent care referrals were associated with poor adherence to physical therapy referral. However, the limited predictive power of our model suggests a need for a deeper examination into factors that influence patients access to a physical therapist.

Identifiants

pubmed: 33043360
pii: 5920938
doi: 10.1093/fampra/cmaa104
pmc: PMC8679185
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

203-209

Subventions

Organisme : NCATS NIH HHS
ID : KL2 TR002539
Pays : United States

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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Auteurs

Jason A Sharpe (JA)

University of Utah, Department of Physical Therapy and Athletic Training.

Brook I Martin (BI)

University of Utah School of Medicine, Department of Orthopaedics.
University of Utah, Department of Population Health Sciences, Division of Health System Innovation and Research.

Julie M Fritz (JM)

University of Utah, Department of Physical Therapy and Athletic Training.

Michael G Newman (MG)

Data Science Services, University of Utah, Data Science Services.

John Magel (J)

University of Utah, Department of Physical Therapy and Athletic Training.

Megan E Vanneman (ME)

University of Utah, Department of Population Health Sciences, Division of Health System Innovation and Research.
University of Utah School of Medicine, Department of Internal Medicine, Division of Epidemiology.
Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS), Veterans Affairs Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS), Salt Lake City, UT, USA.

Anne Thackeray (A)

University of Utah, Department of Physical Therapy and Athletic Training.
University of Utah, Department of Population Health Sciences, Division of Health System Innovation and Research.

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Classifications MeSH