Literature DB >> 25148537

Changes in multidimensional pain inventory profile after a pain rehabilitation programme indicate the risk of receiving sick leave benefits one year later.

Vanja E Nyberg1, Mehmed Novo, Bengt H Sjölund.   

Abstract

OBJECTIVES: To determine whether coping profile changes after rehabilitation, assessed with the Multidimensional Pain Inventory (MPI), can predict which persons disabled by chronic musculoskeletal pain will be in receipt of sick leave benefits in the long term.
METHODS: Study of MPI data from 2,784 patients (709 men and 2,075 women) collected from the Swedish Quality Register for Pain Rehabilitation (SQRP) before and at the end of rehabilitation and compared with independent sick leave data for 1 year later.
RESULTS: After rehabilitation there was a significantly decreased share of Dysfunctional profiles (DYS) among both men (44% before, 31% after) and women (39% before, 26% after), but an increased share of Adaptive Coper profiles (men 15% before, 24% after, women 14% before, 24% after). The number of patients on full-time sick leave decreased significantly among men (from 57% to 46%) and women (from 57% to 50%). Persons with a DYS profile after rehabilitation had a low probability of having no or part-time sick leave.
CONCLUSION: The number of persons with DYS profiles decreased after rehabilitation. Those with other profiles had less full-time sick leave one year later than those with DYS profiles, indicating that leaving the DYS profile is a positive prognostic sign long-term. Furthermore, the gender differences observed suggest the need to tailor rehabilitative strategies differently for men and women.

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Year:  2014        PMID: 25148537     DOI: 10.2340/16501977-1872

Source DB:  PubMed          Journal:  J Rehabil Med        ISSN: 1650-1977            Impact factor:   2.912


  1 in total

1.  Evaluation of a multimodal pain rehabilitation programme in primary care based on clinical register data: a feasibility study.

Authors:  Charlotte Post Sennehed; Kjerstin Stigmar; Birgitta Grahn; Marcelo Rivano Fischer; Malin Forsbrand; Anja Nyberg; Ingemar F Petersson; Sara Holmberg
Journal:  Prim Health Care Res Dev       Date:  2020-01-14       Impact factor: 1.458

  1 in total

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