Literature DB >> 29229056

Determining Predictive Outcome Factors for a Multimodal Treatment Program in Low Back Pain Patients: A Retrospective Cohort Study.

Rahmat Adnan1, Jessica Van Oosterwijck1, Barbara Cagnie1, Evy Dhondt1, Stijn Schouppe1, Jens Van Akeleyen2, Tine Logghe2, Lieven Danneels3.   

Abstract

OBJECTIVE: The purpose of this study was to determine the factors predictive of outcomes in a multifaceted rehabilitation program for acute and chronic low back pain (LBP) patients.
METHODS: A retrospective cohort study was performed on 565 LBP patients (153 acute and 412 chronic) who participated in a multimodal treatment program at an outpatient clinic in Belgium between 2007 and 2010. The predictive value of several factors, including age, sex, body mass index, fat percentage, Oswestry Disability Index score, Beck Depression Index score, Numeric Pain Rating Scale score for back and leg pain intensity, and Tampa Scale for Kinesiophobia score on favorable treatment outcomes was examined using logistic regression analysis.
RESULTS: The results from the multivariate regression indicated that a higher score on the Tampa Scale for Kinesiophobia (odds ratio [OR] = 0.92) decreases the odds of a favorable outcome following a multimodal treatment program in acute LBP. Older age (OR = 0.97), low LBP intensity (OR = 1.191), and higher scores on the Beck Depression Index (OR = 0.96) and the Oswestry LBP Disability Index (OR = 0.93) decreased the odds of a favorable treatment outcome in chronic LBP.
CONCLUSIONS: The findings of this study indicate that factors predictive of a (un)favorable treatment outcome differ between acute and chronic LBP. Specifically, kinesiophobia is predictive of poor treatment outcome in acute LBP. In chronic LBP, older age, low LBP intensity, and higher degrees of depression and LBP-related disability are predictive of poor treatment outcome. Therapists should consider assessing these predictive factors at intake to tailor the content of the multimodal treatment program to individual patient needs.
Copyright © 2017. Published by Elsevier Inc.

Entities:  

Keywords:  Logistic Models; Low Back Pain; Prognosis; Rehabilitation; Treatment Outcome

Mesh:

Year:  2017        PMID: 29229056     DOI: 10.1016/j.jmpt.2017.09.001

Source DB:  PubMed          Journal:  J Manipulative Physiol Ther        ISSN: 0161-4754            Impact factor:   1.437


  4 in total

1.  Is there a relationship between self-efficacy, disability, pain and sociodemographic characteristics in chronic low back pain? A multicenter retrospective analysis.

Authors:  Silvano Ferrari; Carla Vanti; Marta Pellizzer; Luca Dozza; Marco Monticone; Paolo Pillastrini
Journal:  Arch Physiother       Date:  2019-10-12

2.  The association between depressive symptoms or depression and health outcomes in adults with low back pain with or without radiculopathy: protocol of a systematic review.

Authors:  Jessica J Wong; Andrea C Tricco; Pierre Côté; Laura C Rosella
Journal:  Syst Rev       Date:  2019-11-08

3.  Predictors of response following standardized education and self-management recommendations for low back pain stratified by dominant pain location.

Authors:  Anthony V Perruccio; Jessica T Y Wong; Elizabeth M Badley; J Denise Power; Calvin Yip; Y Raja Rampersaud
Journal:  N Am Spine Soc J       Date:  2021-11-07

4.  Trajectories of Disability and Low Back Pain Impact: 2-year Follow-up of the Groningen Spine Cohort.

Authors:  Alisa L Dutmer; Henrica R Schiphorst Preuper; Roy E Stewart; Remko Soer; Michiel F Reneman; André P Wolff
Journal:  Spine (Phila Pa 1976)       Date:  2020-12-01       Impact factor: 3.241

  4 in total

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