Literature DB >> 18496307

Multidisciplinary rehabilitation treatment of patients with chronic low back pain: a prognostic model for its outcome.

Marije van der Hulst1, Miriam M R Vollenbroek-Hutten, Karin G M Groothuis-Oudshoorn, Hermie J Hermens.   

Abstract

OBJECTIVES: (1) To determine if treatment outcome in chronic low back pain can be predicted by a predefined multivariate prognostic model based on consistent predictors from the literature and (2) to explore the value of potentially prognostic factors further.
METHODS: Data were derived from a randomized controlled trial on the effect of a multidisciplinary rehabilitation program for chronic low back pain compared with usual care. The primary outcome measure was the Roland and Morris Disability Questionnaire and secondary outcomes were the Physical and Mental Component Summary Scales, derived from the Short Form Health Survey. Outcomes were expressed as the differences between baseline and follow-up (8 wk and 6 mo) values. A confirmatory and an exploratory model were defined. Baseline predictors included in the confirmatory model were pain intensity, work status, and Multidimensional Pain Inventory subgroup membership. The exploratory model included sick leave, compensation, depression, and fear-avoidance beliefs. Statistical analysis was performed using multiple linear regression analysis.
RESULTS: One hundred and sixty-three patients participated in the study. More pain was prognostic for more improvement in the rehabilitation group. No value was found for work status or the Multidimensional Pain Inventory subgroups. For the exploratory model, more depression and fear-avoidance beliefs predicted more improvement after rehabilitation. The explained variance ranged from 18.5% to 43.8% depending on the length of follow-up evaluation, the treatment group, and the outcome variable of interest. DISCUSSION: The results of this study do not support the construction of a clinical prediction model. Future confirmative studies of homogeneous rehabilitation treatments and outcome measures are needed to shed more light on relevant prognostic factors.

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Year:  2008        PMID: 18496307     DOI: 10.1097/AJP.0b013e31816719f5

Source DB:  PubMed          Journal:  Clin J Pain        ISSN: 0749-8047            Impact factor:   3.442


  12 in total

1.  Prescriptive clinical prediction rules in back pain research: a systematic review.

Authors:  Stephen May; Richard Rosedale
Journal:  J Man Manip Ther       Date:  2009

2.  [Evaluation of the German new back school: pain-related and psychological characteristics].

Authors:  C Borys; S Nodop; R Tutzschke; C Anders; H C Scholle; B Strauß
Journal:  Schmerz       Date:  2013-12       Impact factor: 1.107

3.  Prognostic factors for perceived recovery or functional improvement in non-specific low back pain: secondary analyses of three randomized clinical trials.

Authors:  Pieter H Helmhout; J Bart Staal; Martijn W Heymans; Chris C Harts; Erik J M Hendriks; Rob A de Bie
Journal:  Eur Spine J       Date:  2009-12-25       Impact factor: 3.134

4.  Importance of participation in major life areas matters for return to work.

Authors:  Lisbeth Kvam; Kjersti Vik; Arne Henning Eide
Journal:  J Occup Rehabil       Date:  2015-06

5.  Can patient-reported profiles avoid unnecessary referral to a spine surgeon? An observational study to further develop the Nijmegen Decision Tool for Chronic Low Back Pain.

Authors:  Miranda L van Hooff; Johanna M van Dongen; Veerle M Coupé; Maarten Spruit; Raymond W J G Ostelo; Marinus de Kleuver
Journal:  PLoS One       Date:  2018-09-19       Impact factor: 3.240

6.  Depression According to ICD-10 Clinical Interview vs. Depression According to the Epidemiologic Studies Depression Scale to Predict Pain Therapy Outcomes.

Authors:  Sabine Fiegl; Claas Lahmann; Teresa O'Rourke; Thomas Probst; Christoph Pieh
Journal:  Front Psychol       Date:  2019-08-20

7.  Predictive factors for successful clinical outcome 1 year after an intensive combined physical and psychological programme for chronic low back pain.

Authors:  Miranda L van Hooff; Maarten Spruit; John K O'Dowd; Wim van Lankveld; Jeremy C T Fairbank; Jacques van Limbeek
Journal:  Eur Spine J       Date:  2013-06-16       Impact factor: 3.134

8.  Improved life satisfaction and pain reduction: follow-up of a 5-week multidisciplinary long-term pain rehabilitation programme.

Authors:  Annika Silvemark; Håkan Källmén; Carl Molander
Journal:  Ups J Med Sci       Date:  2014-05-30       Impact factor: 2.384

9.  Do Patients With Chronic Low Back Pain Benefit From Early Intervention Regarding Absence From Work?: A Randomized, Controlled, Single-Center Pilot Study.

Authors:  Anja Davis Norbye; Aina Vedvik Omdal; Marit Eikrem Nygaard; Ulla Romild; Guttorm Eldøen; Rune Midgard
Journal:  Spine (Phila Pa 1976)       Date:  2016-11-01       Impact factor: 3.241

10.  Prediction of clinical outcomes in individuals with chronic low back pain: a protocol for a systematic review with meta-analysis.

Authors:  Liliane Mendonça; Matilde Monteiro-Soares; Luís Filipe Azevedo
Journal:  Syst Rev       Date:  2018-10-02
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