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1.
J Orthop Sports Phys Ther ; : 1-45, 2024 Jun 04.
Article in English | MEDLINE | ID: mdl-38832666

ABSTRACT

OBJECTIVE: To summarize the FITT (frequency, intensity, time, type) components of exercise programs included in randomized controlled trials (RCTs) that compared 2 or more programs for managing rotator cuff related shoulder pain (RCRSP). DESIGN: Scoping review. LITERATURE SEARCH: Electronic searches were conducted up to May 2023. STUDY SELECTION CRITERIA: RCTs comparing the effects of 2 or more types of exercise programs, differing in prescription according to the FITT principle, in people with RCRSP. DATA SYNTHESIS: We extracted data from each trial report so that we could answer items 1-10 and 13-15 from the Consensus on Exercise Reporting Template (CERT). Descriptive analysis of the exercise programs was performed by summarising and presenting the FITT characteristics, and other relevant CERT characteristics (material, provider, delivery, tailoring). RESULTS: FITT characteristics from 46 exercise programs included in 22 trials were extracted. The exercise programs were divided into 4 categories (defined in accordance to the original authors' description and proposed rationale): motor control (n=8), scapula-focused (n=7), eccentric (n=8), and non-specific exercise programs (n=28). Five programs were allocated to 2 different categories. The different program types had similar parameters. Exercise programs frequency ranged from 2 to 7 times per week, dose ranged from 1 to 3 sets and 4 to 30 repetitions per sets and exercise program duration ranged from 4 to 16 weeks. CONCLUSION: There was considerable variability in the parameters used to prescribe exercises for RCRSP. Clinicians seeking guidance on FITT parameters derived from trials should do so cautiously because there was no one size-fits-all approach.

2.
Physiother Theory Pract ; 40(4): 704-713, 2024 Apr.
Article in English | MEDLINE | ID: mdl-36594598

ABSTRACT

INTRODUCTION: In this novel advanced practice physiotherapy (APP) model of care, advanced practice physiotherapists (APPTs) assess, triage, and manage adults with spinal disorders to alleviate the growing demands in specialized spine medical care. OBJECTIVES: To describe this APP model of care, to assess change in disability 3 months after rehabilitation care and to assess surgical triage and diagnostic concordance between APPTs and spine surgeons. METHODS: In this retrospective observational study, consecutive patients who completed the 3-month follow-up data were analyzed. Sociodemographic, clinical characteristics, and self-reported disabilities including the Oswestry Disability Index (ODI) and Neck Disability Index (NDI) at baseline and 3 months were extracted. Paired t-tests were used to assess changes in disability. Surgical triage and diagnostic concordance between APPTs and surgeons were measured with raw agreement, Cohen's Kappa, and PABAK. RESULTS: In this model, trained APPTs triaged surgical candidates and provided rehabilitation care including education and exercises to patients with spinal disorders. The APPTs referred only 18/46 participants to spine surgeons. Surgical triage and diagnostic concordance were high with raw agreement of 94% and 89%. At the 3-month follow-up, significant improvements in disability were observed among nonsurgical candidates with back (mean difference (MD): -13.0/100 [95%CI: -19.8 to -6.3], n = 23) or neck disorders (MD: -16.0/100 [95%CI: -29.6 to -2.4], n = 5), but not among surgical candidates referred by APPTs to spine surgeons. CONCLUSION: In this limited sample, adults with spinal disorders that were initially referred to a spine surgeon by family physicians were effectively assessed, triaged, and managed by an APPT.


Subject(s)
Spinal Diseases , Triage , Adult , Humans , Spinal Diseases/surgery , Spine , Exercise Therapy , Retrospective Studies
3.
J Physiother ; 69(4): 220-231, 2023 Oct.
Article in English | MEDLINE | ID: mdl-37714771

ABSTRACT

QUESTIONS: What is the diagnostic and surgical triage concordance between advanced practice physiotherapists (APPTs) and physicians? What is the clinical efficacy of advanced practice physiotherapy care compared with usual medical care? DESIGN: Systematic review with meta-analyses. LITERATURE SEARCH: Medline, Embase, Cochrane CENTRAL and CINAHL were searched up to March 2022. STUDY SELECTION CRITERIA: Concordance studies on diagnostic or surgical triage between APPTs and physicians and randomised controlled trials comparing the clinical efficacy of an advanced practice physiotherapy (APP) model of care compared with usual medical care for participants with musculoskeletal disorders. DATA SYNTHESIS: Meta-analyses were performed for concordance and clinical outcomes. Grading of Recommendations, Assessment, Development and Evaluations (GRADE) was used to evaluate the certainty of evidence. RESULTS: Nineteen concordance studies (n = 1,745) and six randomised trials (n = 1,960) were included. Based on moderate-certainty evidence, the pooled Kappa for diagnostic concordance between APPTs and physicians was 0.76 (95% CI 0.68 to 0.85, n = 1,108). Based on high-certainty evidence, the pooled Kappa for surgical triage concordance was 0.71 (95% CI 0.63 to 0.78, n = 1,128). Based on moderate-certainty evidence, APP care resulted in a comparable or greater reduction in pain (MD -0.92 out of 10, 95% CI -1.75 to -0.10, n = 494) when compared with usual medical care at medium-term follow-up. Based on low-certainty evidence, APP care resulted in a comparable or greater reduction in disability (SMD -0.31, 95% CI -0.67 to 0.04, n = 535) when compared with usual medical care at medium-term follow-up. CONCLUSION: Concordance between APPTs and physicians is probably good to very good for diagnosis and good to very good for surgical triage of musculoskeletal disorders. Patients with musculoskeletal disorders managed in an APP model of care probably report comparable or greater pain and disability reductions when compared with usual medical care. REGISTRATION: CRD42022320950.

4.
J Orthop Sports Phys Ther ; 52(10): 647-664, 2022 Oct.
Article in English | MEDLINE | ID: mdl-35881707

ABSTRACT

OBJECTIVE: To develop a clinical practice guideline covering the assessment, management, and return to work of adults with rotator cuff disorders. DESIGN: Clinical practice guideline. METHODS: Using systematic reviews, appraisal of the literature, and an iterative approach to obtain consensus from key stakeholders, clinical recommendations and algorithms were developed in the context of the health care system and work environment of the province of Quebec (Canada). RESULTS: Recommendations (n = 73) and clinical decision algorithms (n = 3) were developed to match the objectives. The initial assessment should include the patient's history, a subjective assessment, and a physical examination. Diagnostic imaging is only necessary in select circumstances. Acetaminophen, nonsteroidal anti-inflammatory drugs, and injection therapies may be useful to reduce pain in the short term. Clinicians should prescribe an active and task-oriented rehabilitation program (exercises and education) to reduce pain and disability in adults with rotator cuff disorders. Subacromial decompression is not recommended to treat rotator cuff tendinopathy. Surgery is appropriate for selected patients with a full-thickness rotator cuff tear. A return-to-work plan should be developed early, in collaboration with the worker and other stakeholders, and must combine multiple strategies to promote return to work. CONCLUSION: This clinical practice guideline was developed to assist the multidisciplinary team of clinicians who provide health care for adults with a rotator cuff disorder. The CPG guides clinical decisionmaking for diagnosis and treatment, and planning for successful return to work. J Orthop Sports Phys Ther 2022;52(10):647-664. Epub: 27 July 2022. doi:10.2519/jospt.2022.11306.


Subject(s)
Rotator Cuff Injuries , Rotator Cuff , Acetaminophen , Adult , Anti-Inflammatory Agents , Humans , Return to Work , Rotator Cuff Injuries/surgery , Rotator Cuff Injuries/therapy , Shoulder Pain/therapy
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