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Paul F. Beattie
Researcher at University of South Carolina
Publications - 63
Citations - 2831
Paul F. Beattie is an academic researcher from University of South Carolina. The author has contributed to research in topics: Low back pain & Lumbar. The author has an hindex of 28, co-authored 58 publications receiving 2502 citations. Previous affiliations of Paul F. Beattie include American Physical Therapy Association & University of New Mexico.
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Journal ArticleDOI
Associations between patient report of symptoms and anatomic impairment visible on lumbar magnetic resonance imaging.
TL;DR: A cross-sectional study comparing the relationship of symptoms with anatomic impairment visible on lumbar magnetic resonance imaging in 408 symptomatic subjects found that segmental distributions of pain can be determined reliably from pain drawings, but this finding alone is of little use in predicting lumbr impairment.
Journal ArticleDOI
Heel Pain—Plantar Fasciitis: Revision 2014
RobRoy L. Martin,RobRoy L. Martin,Todd E. Davenport,Stephen F. Reischl,Stephen F. Reischl,Thomas G. McPoil,James W. Matheson,Dane K. Wukich,Christine M. McDonough,Christine M. McDonough,Christine M. McDonough,Roy D. Altman,Paul F. Beattie,Mark W. Cornwall,Irene S. Davis,John DeWitt,James M. Elliott,James J. Irrgang,Sandra L. Kaplan,Sandra L. Kaplan,Stephen Paulseth,Stephen Paulseth,Leslie Torburn,James Zachazewski,Joseph J. Godges,Joseph J. Godges +25 more
TL;DR: The Orthopaedic Section of the American Physical Therapy Association (APTA) has an ongoing effort to create evidence-based practice guidelines for orthopedic physical therapy management of patients with musculoskeletal impairments described in the International Classification of Functioning, Disability, and Health (ICF).
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Patient Satisfaction With Outpatient Physical Therapy: Instrument Validation
TL;DR: Emphasis on cost-cutting, high patient volume, and the use of "care extenders" may jeopardize satisfaction, and an instrument used to determine which variables are associated with the satisfaction of patients receiving outpatient physical therapy was developed and tested.
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Stress reactions of the lumbar pars interarticularis: the development of a new MRI classification system.
TL;DR: In this paper, the authors developed a new grading system for lumbar pars interarticularis stress reaction and spondylolysis, which can be used as a mechanism for classifying patients.
Journal ArticleDOI
Clinical prediction rules: What are they and what do they tell us?
Paul F. Beattie,Roger M. Nelson +1 more
TL;DR: Clinical prediction rules are research-based tools that quantify the contributions of relevant patient characteristics to provide numeric indices that assist clinicians in making predictions and can provide quick and inexpensive estimates of probability.