Literature DB >> 25503587

When Matching Fails: Understanding the Process of Matching Pain-Disability Treatment to Risk Profile.

Sofia Bergbom1, Katja Boersma, Steven J Linton.   

Abstract

PURPOSE: A previous study (Bergbom et al. in J Occup Rehabil, 2013) showed that matching people at risk for pain-related disability to an intervention aimed at targeting their psychological problem profile did not, as hypothesized, improve the effect of the intervention. Methodological issues were suggested to explain the lack of differential effect. It was questioned whether the profiles used to allocate people to treatment were adequate. The aim of this study was to investigate if the risk profiles used to determine matching were sufficiently stable and valid by comparing the original profiles with profiles constructed using other methods.
METHODS: Ninety-five people suffering musculoskeletal problems were screened, profiled, and matched to workplace based early interventions according to profiles. We studied stability and validity of their psychological risk profiles by investigating their concordance at different time points. People were originally assigned to profiles at inclusion, using a brief screening questionnaire. Then, they were profiled just before treatment start, using the same items. Finally, they were profiled again at treatment start, using extensive questionnaires. Concordance among the three sets of profiles was investigated.
RESULTS: Profiles at inclusion were unstable until treatment start. People moved from profiles with more severe elevations in psychological variables, to a profile with moderate elevations. Concordance between the two means of profiling at treatment start was better; the brief screening and the extensive questionnaires assigned people to similar profiles.
CONCLUSIONS: Risk level may be determined with brief instruments at an early stage of problem development. However, profiles and targets for interventions should be determined immediately prior to treatment start, preferably using full questionnaires.

Entities:  

Mesh:

Year:  2015        PMID: 25503587     DOI: 10.1007/s10926-014-9558-x

Source DB:  PubMed          Journal:  J Occup Rehabil        ISSN: 1053-0487


  29 in total

Review 1.  Reducing sickness absence from work due to low back pain: how well do intervention strategies match modifiable risk factors?

Authors:  William S Shaw; Steven J Linton; Glenn Pransky
Journal:  J Occup Rehabil       Date:  2006-12

2.  Can we screen for problematic back pain? A screening questionnaire for predicting outcome in acute and subacute back pain.

Authors:  S J Linton; K Halldén
Journal:  Clin J Pain       Date:  1998-09       Impact factor: 3.442

3.  Early psychologically informed interventions for workers at risk for pain-related disability: does matching treatment to profile improve outcome?

Authors:  Sofia Bergbom; Ida K L Flink; Katja Boersma; Steven J Linton
Journal:  J Occup Rehabil       Date:  2014-09

4.  When the wind goes out of the sail - declining recovery expectations in the first weeks of back pain.

Authors:  J K P Carstens; W S Shaw; K Boersma; S E Reme; G Pransky; S J Linton
Journal:  Eur J Pain       Date:  2013-07-03       Impact factor: 3.931

5.  Relationship among pain catastrophizing, depressed mood, and outcomes across physical therapy treatments.

Authors:  Sofia Bergbom; Katja Boersma; Thomas Overmeer; Steven J Linton
Journal:  Phys Ther       Date:  2011-03-30

6.  Psychological processes underlying the development of a chronic pain problem: a prospective study of the relationship between profiles of psychological variables in the fear-avoidance model and disability.

Authors:  Katja Boersma; Steven J Linton
Journal:  Clin J Pain       Date:  2006-02       Impact factor: 3.442

7.  Early identification of patients at risk of developing a persistent back problem: the predictive validity of the Orebro Musculoskeletal Pain Questionnaire.

Authors:  Steven J Linton; Katja Boersma
Journal:  Clin J Pain       Date:  2003 Mar-Apr       Impact factor: 3.442

8.  Cognitive factors influence outcome following multidisciplinary chronic pain treatment: a replication and extension of a cross-lagged panel analysis.

Authors:  J W Burns; B Glenn; S Bruehl; R N Harden; K Lofland
Journal:  Behav Res Ther       Date:  2003-10

9.  Research methods for subgrouping low back pain.

Authors:  Peter Kent; Jennifer L Keating; Charlotte Leboeuf-Yde
Journal:  BMC Med Res Methodol       Date:  2010-07-03       Impact factor: 4.615

10.  A randomized trial of behavioral physical therapy interventions for acute and sub-acute low back pain (NCT00373867).

Authors:  Steven Z George; Giorgio Zeppieri; Anthony L Cere; Melissa R Cere; Michael S Borut; Michael J Hodges; Dalton M Reed; Carolina Valencia; Michael E Robinson
Journal:  Pain       Date:  2008-09-10       Impact factor: 6.961

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  1 in total

1.  Implementation of Questionnaire-Based Risk Profiling for Clients in a Workers' Compensation Environment: An Example in Australian Physiotherapy Practice.

Authors:  Darren Beales; Luke McManus; Jay-Shian Tan; Craig Elliott; Tim Mitchell
Journal:  J Occup Rehabil       Date:  2019-09
  1 in total

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