TY - JOUR
T1 - Classifying Nonspecific Low Back Pain for Better Clinical Outcomes
T2 - Current Challenges and Paths Forward
AU - Tagliaferri, Scott D.
AU - Owen, Patrick J.
AU - Miller, Clint T.
AU - Mitchell, Ulrike H.
AU - Ehrenbrusthoff, Katja
AU - Belavy, Daniel L.
N1 - Funding Information:
1Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Burwood, Australia. 2Orygen, Parkville, Australia. 3Centre of Youth Mental Health, University of Melbourne, Melbourne, Australia. 4Department of Exercise Sciences, Brigham Young University, Provo, UT. 5Division of Physiotherapy, Department of Applied Health Sciences, Hochschule für Gesundheit (University of Applied Sciences), Bochum, Germany. ORCID: Tagliaferri, 0000-0003-3669-4131. The authors certify that they have no affiliations with or financial involvement in any organization or entity with a direct financial interest in the subject matter or materials discussed in the article. Scott Tagliaferri was supported by an Australian Government Research Training Program (RTP) Scholarship for this research. No other funding was received for this research. Address correspondence to Scott Tagliaferri, Orygen, 35 Poplar Rd, Parkville, VIC 3052 Australia. E-mail: [email protected] t Copyright 2023 JOSPT ®, Inc
Publisher Copyright:
Copyright ©2023 JOSPT®, Inc.
PY - 2023/5
Y1 - 2023/5
N2 - Low back pain classification systems are structured assessments used to guide choices of more specific treatments. Classification systems examined in randomized controlled trials have limited effects on pain intensity and disability compared to nonclassified interventions. Potential reasons for the lack of efficacy include (1) failing to assess multidimensional factors that contribute to pain, (2) relying on clinician judgement, (3) low accessibility, and (4) poor classification reliability. Overcoming these limitations is critical to deciding whether classification systems can improve clinical practice. Only once these limitations are addressed, can we feel certain about the efficacy, or lack thereof, of classification systems. This Viewpoint guides the reader through some limitations of common classification approaches and presents a path forward to open-access, reliable, and multidimensional precision medicine for managing low back pain.
AB - Low back pain classification systems are structured assessments used to guide choices of more specific treatments. Classification systems examined in randomized controlled trials have limited effects on pain intensity and disability compared to nonclassified interventions. Potential reasons for the lack of efficacy include (1) failing to assess multidimensional factors that contribute to pain, (2) relying on clinician judgement, (3) low accessibility, and (4) poor classification reliability. Overcoming these limitations is critical to deciding whether classification systems can improve clinical practice. Only once these limitations are addressed, can we feel certain about the efficacy, or lack thereof, of classification systems. This Viewpoint guides the reader through some limitations of common classification approaches and presents a path forward to open-access, reliable, and multidimensional precision medicine for managing low back pain.
KW - physical therapy
KW - physiotherapy
KW - rehabilitation
KW - stratify
UR - http://www.scopus.com/inward/record.url?scp=85159242253&partnerID=8YFLogxK
U2 - 10.2519/JOSPT.2023.11658
DO - 10.2519/JOSPT.2023.11658
M3 - Review Article
C2 - 37017933
AN - SCOPUS:85159242253
SN - 0190-6011
VL - 53
SP - 239
EP - 243
JO - Journal of Orthopaedic and Sports Physical Therapy
JF - Journal of Orthopaedic and Sports Physical Therapy
IS - 5
ER -