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Identifying patients who access musculoskeletal physical therapy: a retrospective cohort analysis.
Sharpe, Jason A; Martin, Brook I; Fritz, Julie M; Newman, Michael G; Magel, John; Vanneman, Megan E; Thackeray, Anne.
Afiliação
  • Sharpe JA; University of Utah, Department of Physical Therapy and Athletic Training.
  • Martin BI; University of Utah School of Medicine, Department of Orthopaedics.
  • Fritz JM; University of Utah, Department of Population Health Sciences, Division of Health System Innovation and Research.
  • Newman MG; University of Utah, Department of Physical Therapy and Athletic Training.
  • Magel J; Data Science Services, University of Utah, Data Science Services.
  • Vanneman ME; University of Utah, Department of Physical Therapy and Athletic Training.
  • Thackeray A; University of Utah, Department of Population Health Sciences, Division of Health System Innovation and Research.
Fam Pract ; 38(3): 203-209, 2021 06 17.
Article em En | MEDLINE | ID: mdl-33043360
ABSTRACT

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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças Musculoesqueléticas / Medicina Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças Musculoesqueléticas / Medicina Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article