Journal article
Subgrouping patients with low back pain: A treatment-based approach to classification
Sports Health: A Multidisciplinary Approach, Vol.3(6), pp.534-542
2011
Abstract
Context: Low back pain (LBP) is a prevalent condition imposing a large socioeconomic burden. Despite intensive research aimed at the efficacy of various therapies for patients with LBP, most evidence has failed to identify a superior treatment approach. One proposed solution to this dilemma is to identify subgroups of patients with LBP and match them with targeted therapies. Among the subgrouping approaches, the system of treatment-based classification (TBC) is promoted as a means of increasing the effectiveness of conservative interventions for patients with LBP.Evidence acquisition: MEDLINE and PubMed databases were searched from 1985 through 2010, along with the references of selected articles.Results: TBC uses a standardized approach to categorize patients into 1 of 4 subgroups: spinal manipulation, stabilization exercise, end-range loading exercise, and traction. Although the TBC subgroups are in various stages of development, recent research lends support to the effectiveness of this approach.Conclusions: While additional research is required to better elucidate this method, the TBC approach enhances clinical decision making, as evidenced by the improved clinical outcomes experienced by patients with LBP.
Details
- Title
- Subgrouping patients with low back pain: A treatment-based approach to classification
- Authors/Creators
- J.J. Hebert (Author/Creator)S.L. Koppenhaver (Author/Creator)B.F. Walker (Author/Creator)
- Publication Details
- Sports Health: A Multidisciplinary Approach, Vol.3(6), pp.534-542
- Publisher
- SAGE Publications
- Identifiers
- 991005543949507891
- Copyright
- © 2011 The Author(s).
- Murdoch Affiliation
- School of Chiropractic and Sports Science
- Language
- English
- Resource Type
- Journal article
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites
Metrics
52 Record Views