A Treatment-Based Classification Algorithm to Treat Achilles Tendinopathy: An Exploratory Case Series.
Context: Achilles tendinopathy is relatively common in both the general and athletic populations. The current gold standard for the treatment of Achilles tendinopathy is eccentric exercise, which can be painful and time consuming. While there is limited research on indirect treatment approaches, it...
| Publicado en: | Journal of Sport Rehabilitation Vol. 26; no. 3; pp. 260 - 269 |
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| Autores principales: | , , , , , , , |
| Formato: | algorithm research tables/charts Journal Article |
| Publicado: |
Human Kinetics Publishers, Inc.
May2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=124269044&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 124269044 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10566716 JSB jtl: Journal of Sport Rehabilitation issn: 10566716 maglogo: N pubinfo: dt: May2017 vid: 26 iid: 3 pid: 553 pub: Human Kinetics Publishers, Inc. place: Champaign, Illinois artinfo: ui: 124269044 124269044 124269044 10.1123/jsr.2016-0033 124269044 ppf: 260 ppct: 9 formats: tig: atl: A Treatment-Based Classification Algorithm to Treat Achilles Tendinopathy: An Exploratory Case Series. aug: au: Syvertson, Patti Dietz, Emily Matocha, Monica McMurray, Janet Baker, Russell Nasypany, Alan Reordan, Don Paddack, Michael affil: Dept of Sports Medicine, Crystal Springs Uplands School, Hillsborough, CA sug: subj: Achilles Tendinopathy Therapy Algorithms Utilization Achilles Tendinopathy Classification Decision Making, Clinical Methods Human Adult Adolescence Young Adult Pain Measurement Scales Convenience Sample Male Female United States Multicenter Studies Data Analysis Software Analysis of Variance Repeated Measures Paired T-Tests Confidence Intervals Effect Size Descriptive Statistics P-Value Exploratory Research Statistical Significance Adult: 19-44 years Adolescent: 13-18 years Male Female ab: Context: Achilles tendinopathy is relatively common in both the general and athletic populations. The current gold standard for the treatment of Achilles tendinopathy is eccentric exercise, which can be painful and time consuming. While there is limited research on indirect treatment approaches, it has been proposed that tendinopathy patients do respond to indirect approaches in fewer treatments without provoking pain. Objective: To determine the effectiveness of using a treatment-based-classification (TBC) algorithm as a strategy for classifying and treating patients diagnosed with Achilles tendinopathy. Participants: 11 subjects (mean age 28.0 ± 15.37 y) diagnosed with Achilles tendinopathy. Design: Case series. Setting: Participants were evaluated, diagnosed, and treated at multiple clinics. Main Outcome Measures: Numeric Rating Scale (NRS), Disablement in the Physically Active Scale (DPA Scale), Victorian Institute of Sport Assessment-- Achilles (VISA-A), Global Rating of Change (GRC), and Nirschl Phase Rating Scale were recorded to establish baseline scores and evaluate participant progress. Results: A repeated-measures ANOVA was conducted to analyze NRS scores from initial exam to discharge and at 1-mo follow-up. Paired t tests were analyzed to determine the effectiveness of using a TBC algorithm from initial exam to discharge on the DPA Scale and VISA-A. Descriptive statistics were evaluated to determine outcomes as reported on the GRC. Conclusion: The results of this case series provide evidence that using a TBC algorithm can improve function while decreasing pain and disability in Achilles tendinopathy participants. pubtype: Academic Journal doctype: algorithm research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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