Literature DB >> 29456446

Prevalence and reliability of treatment-based classification for subgrouping patients with low back pain.

Isadora Orlando de Oliveira1,2, Rodrigo Antunes de Vasconcelos1,2, Bruna Pilz1,2, Paulo Eduardo Portes Teixeira2, Eduarda de Faria Ferreira2, Wilson Mello2, Débora Bevilaqua Grossi1,2.   

Abstract

OBJECTIVES: To observe the distribution of patients who presented with low back pain (LBP) and to determine the between therapists' interrater reliability of assessments in a private outpatient setting using treatment-based classification (TBC) subgroups.
METHODS: An observational and methodological study was conducted. Four hundred and twenty-nine patients (231 male; 198 female) presenting LBP symptoms and referred to conservative treatment were assessed by 13 physical therapists who conducted a 60-min examination process utilizing TBC subgroups. Interrater reliability analyses from six raters were assessed using Fleiss' kappa and previously recorded data (n = 30).
RESULTS: In this study, 65.74% of patients were classified in only one subgroup, the most prevalent being stabilization (21.91%), followed by extension (15.38%), traction (11.89%), flexion (10.96%), manipulation (5.13%), and lateral shift (0.47%). Approximately 20.98% of patients were classified in two subgroups, where the most frequent overlaps were flexion + stabilization (7.46%), extension + stabilization (6.06%), flexion + traction (4.20%), extension + manipulation (1.86%), and 13.29% of patients were not classified in any TBC subgroup. Analysis of interrater reliability showed a kappa value of 0.62 and an overall agreement of 66% between raters. DISCUSSION: LBP is a heterogeneous clinical condition and several classification methods are proposed in the attempt to observe better outcomes for patients. Eighty-five percent of patients assessed were able to be classified when using the TBC assessment and reliability analysis showed a substantial agreement between raters. LEVEL OF EVIDENCE: 2c.

Entities:  

Keywords:  Evidence-based Practice; Musculoskeletal; Physical Therapy; Treatment-based classification; back pain; lumbar spine; rehabilitation; reliability

Year:  2017        PMID: 29456446      PMCID: PMC5810770          DOI: 10.1080/10669817.2017.1350328

Source DB:  PubMed          Journal:  J Man Manip Ther        ISSN: 1066-9817


  40 in total

1.  Preliminary development of a clinical prediction rule for determining which patients with low back pain will respond to a stabilization exercise program.

Authors:  Gregory E Hicks; Julie M Fritz; Anthony Delitto; Stuart M McGill
Journal:  Arch Phys Med Rehabil       Date:  2005-09       Impact factor: 3.966

2.  Does it matter which exercise? A randomized control trial of exercise for low back pain.

Authors:  Audrey Long; Ron Donelson; Tak Fung
Journal:  Spine (Phila Pa 1976)       Date:  2004-12-01       Impact factor: 3.468

3.  Evaluation of a treatment-based classification algorithm for low back pain: a cross-sectional study.

Authors:  Tasha R Stanton; Julie M Fritz; Mark J Hancock; Jane Latimer; Christopher G Maher; Benedict M Wand; Eric C Parent
Journal:  Phys Ther       Date:  2011-02-17

4.  Comparison of the effectiveness of three manual physical therapy techniques in a subgroup of patients with low back pain who satisfy a clinical prediction rule: a randomized clinical trial.

Authors:  Joshua A Cleland; Julie M Fritz; Kornelia Kulig; Todd E Davenport; Sarah Eberhart; Jake Magel; John D Childs
Journal:  Spine (Phila Pa 1976)       Date:  2009-12-01       Impact factor: 3.468

5.  Effectiveness of an extension-oriented treatment approach in a subgroup of subjects with low back pain: a randomized clinical trial.

Authors:  David A Browder; John D Childs; Joshua A Cleland; Julie M Fritz
Journal:  Phys Ther       Date:  2007-09-25

6.  Evidence for use of an extension-mobilization category in acute low back syndrome: a prescriptive validation pilot study.

Authors:  A Delitto; M T Cibulka; R E Erhard; R W Bowling; J A Tenhula
Journal:  Phys Ther       Date:  1993-04

7.  Clinimetric testing of three self-report outcome measures for low back pain patients in Brazil: which one is the best?

Authors:  Leonardo Oliveira Pena Costa; Chris G Maher; Jane Latimer; Paulo Henrique Ferreira; Manuela Loureiro Ferreira; Giovanni Campos Pozzi; Ludmilla Motta Andrade Freitas
Journal:  Spine (Phila Pa 1976)       Date:  2008-10-15       Impact factor: 3.468

8.  Health locus of control questionnaire for patients with chronic low back pain: psychometric properties of the Brazilian-Portuguese version.

Authors:  Vinícius Cunha Oliveira; Thiago Furiati; Ana Sakamoto; Paulo Ferreira; Manuela Ferreira; Chris Maher
Journal:  Physiother Res Int       Date:  2008-03

9.  A clinical prediction rule for classifying patients with low back pain who demonstrate short-term improvement with mechanical lumbar traction.

Authors:  Congcong Cai; Yong Hao Pua; Kian Chong Lim
Journal:  Eur Spine J       Date:  2009-03-03       Impact factor: 3.134

10.  Subgrouping patients with low back pain: a treatment-based approach to classification.

Authors:  Jeffrey J Hebert; Shane L Koppenhaver; Bruce F Walker
Journal:  Sports Health       Date:  2011-11       Impact factor: 3.843

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  1 in total

1.  Are movement-based classification systems more effective than therapeutic exercise or guideline based care in improving outcomes for patients with chronic low back pain? A systematic review.

Authors:  Sean P Riley; Brian T Swanson; Elizabeth Dyer
Journal:  J Man Manip Ther       Date:  2018-10-17
  1 in total

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