Literature DB >> 26409414

The importance of identifying and modifying unemployment predictor variables in the evolution of a novel model of care for low back pain in the general population.

Simon A Harris1, Y Raja Rampersaud2.   

Abstract

BACKGROUND CONTEXT: Care for low back pain (LBP) is costly, fragmented and, in non-compensation populations, rarely specifically addresses factors associated with maintaining employment status or return to work (RTW).
PURPOSE: This study aimed to identify modifiable independent risk factors for (1) a negative work status at presentation and (2) a change in work status during treatment in a cohort of LBP patients. The results are intended to inform improvement in best-evidence care pathways to maximize societal outcomes and overall value of a new model of care. STUDY DESIGN/
SETTING: A prospective observational study was carried out. INCLUSION CRITERIA: Work-eligible, non-workers compensation patients with recurrent or persistent LBP ≥6 weeks and ≤12 months.
SETTING: The Inter-professional Spine Assessment and Education Clinics (ISAEC)-a novel Government-funded shared-care model of management for LBP.
METHODS: This study used the following methods: (1) Cross-sectional analysis of baseline data from the initial ISAEC consultation (t0) from December 2012 to April 2014. Work status at t0 was dichotomized as employed (E) or underemployed (UE; unemployed, modified work duty, or disability). Multivariate logistic regression modeling was used to determine independent predictors of UE status at t0. (2) Bivariate analysis of longitudinal data from t0 to 6 months (t1) to identify risk factors for work status change. Employment journey categorized into four groups: Et0/Et1-employed at t0 and employed at t1; Et0/UEt1-employed at t0 and underemployed at t1; UEt0/Et1-underemployed at t0 and employed at t1; UEt0/UEt1-underemployed at t0 and underemployed at t1.
RESULTS: This study yielded the following results: (1) Initial consultation data on 462 consecutive patients (Et0=344, UEt0=118). Multivariate logistic regression identified legal claim, depression, smoking, and higher STarT Back (or Oswestry Disability Index [ODI]) score as independent risk factors for UEt0. (2) Overall UE rate did not significantly change during longitudinal analysis (n=178, UEt0=25.5%, UEt1=22.9%). However, 10.5% of Et0 became UEt1 (Et0/Et1=102, Et0/UEt1=12). Bivariate analysis identified elevated baseline ODI score as the only significant predictor variable for UEt1 in Et0 cohort (p=.0101). Conversely, ISAEC improved the employment status in 41% of UEt0 to Et1 (UEt0/Et1=16, UEt0/UEt1=23), and the absence of depression was significant for predicting RTW (p=.0001).
CONCLUSIONS: From a societal perspective, employment status as an outcome measure is paramount in assessing the value of a new model of care for LBP. Mitigation strategies for the predictor variables identified will be included in ISAEC pathways to translate clinical improvement into societal added value.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Depression; Employment; Low back pain; Model of care; Smoking; Value

Mesh:

Year:  2015        PMID: 26409414     DOI: 10.1016/j.spinee.2015.09.034

Source DB:  PubMed          Journal:  Spine J        ISSN: 1529-9430            Impact factor:   4.166


  3 in total

1.  Improving spine surgical access, appropriateness and efficiency in metropolitan, urban and rural settings.

Authors:  Mohammad Zarrabian; Andrew Bidos; Caroline Fanti; Barry Young; Brian Drew; David Puskas; Raja Rampersaud
Journal:  Can J Surg       Date:  2017-10       Impact factor: 2.089

2.  Health-care utilisation for low back pain: a systematic review and meta-analysis of population-based observational studies.

Authors:  Getahun Kebede Beyera; Jane O'Brien; Steven Campbell
Journal:  Rheumatol Int       Date:  2019-08-28       Impact factor: 2.631

3.  Health, work and demographic factors associated with a lower risk of work disability and unemployment in employees with lower back, neck and shoulder pain.

Authors:  Lisa Mather; Annina Ropponen; Ellenor Mittendorfer-Rutz; Jurgita Narusyte; Pia Svedberg
Journal:  BMC Musculoskelet Disord       Date:  2019-12-26       Impact factor: 2.362

  3 in total

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