Literature DB >> 15949777

How to identify patients with a poor prognosis in daily clinical practice.

C Cedraschi1, A F Allaz.   

Abstract

Predicting poor outcomes in daily practice is challenging. As well as prior episodes of low back pain and pain intensity, various psychosocial risk factors have been identified, although the independent prognostic value of these is rather low. This supports the necessity for a multidimensional view of the transition from acute to chronic pain and/or the development of disability. Psychological distress has been found to increase the risk of such a transition. Patients' beliefs and expectations about their pain seem to influence the recovery process; pain-related fear and fear avoidance can be influential psychological variables, from pain inception to its chronic stage. The influence of occupational factors such as job satisfaction, low workplace support or physical workload has also been emphasized. Treatment provider factors and the relationship between patients and care providers also contribute to the realistic or unrealistic expectations and meaningful or acceptable outcomes.

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Year:  2005        PMID: 15949777     DOI: 10.1016/j.berh.2005.03.002

Source DB:  PubMed          Journal:  Best Pract Res Clin Rheumatol        ISSN: 1521-6942            Impact factor:   4.098


  9 in total

1.  Which Regional Pain Rating Best Predicts Patient-Reported Improvement in Lumbar Radiculopathy?

Authors:  Mark C Bicket; Paul F Pasquina; Steven P Cohen
Journal:  Pain Pract       Date:  2017-03-17       Impact factor: 3.183

2.  [Comorbidity in patients with chronic low back pain].

Authors:  M Buchner; E Neubauer; A Barie; M Schiltenwolf
Journal:  Schmerz       Date:  2007-06       Impact factor: 1.107

3.  Prognostic factors for recovery from postpartum pelvic girdle pain.

Authors:  Nina K Vøllestad; Britt Stuge
Journal:  Eur Spine J       Date:  2009-02-24       Impact factor: 3.134

Review 4.  The Global Spine Care Initiative: a narrative review of psychological and social issues in back pain in low- and middle-income communities.

Authors:  Christine Cedraschi; Margareta Nordin; Scott Haldeman; Kristi Randhawa; Deborah Kopansky-Giles; Claire D Johnson; Roger Chou; Eric L Hurwitz; Pierre Côté
Journal:  Eur Spine J       Date:  2018-01-27       Impact factor: 3.134

5.  Early patient screening and intervention to address individual-level occupational factors ("blue flags") in back disability.

Authors:  William S Shaw; Danielle A van der Windt; Chris J Main; Patrick Loisel; Steven J Linton
Journal:  J Occup Rehabil       Date:  2008-12-12

6.  The acceptability of acupuncture for low back pain: a qualitative study of patient's experiences nested within a randomised controlled trial.

Authors:  Ann Hopton; Kate Thomas; Hugh MacPherson
Journal:  PLoS One       Date:  2013-02-21       Impact factor: 3.240

7.  Childhood risk factors for developing fibromyalgia.

Authors:  Patrick Olivieri; Bruce Solitar; Michel Dubois
Journal:  Open Access Rheumatol       Date:  2012-12-17

8.  Frequency and interrelations of risk factors for chronic low back pain in a primary care setting.

Authors:  Marie-Martine Lefevre-Colau; Fouad Fayad; François Rannou; Jacques Fermanian; Fernand Coriat; Yann Mace; Michel Revel; Serge Poiraudeau
Journal:  PLoS One       Date:  2009-03-16       Impact factor: 3.240

9.  Differences across health care systems in outcome and cost-utility of surgical and conservative treatment of chronic low back pain: a study protocol.

Authors:  Markus Melloh; Christoph Röder; Achim Elfering; Jean-Claude Theis; Urs Müller; Lukas P Staub; Emin Aghayev; Thomas Zweig; Thomas Barz; Thomas Kohlmann; Simon Wieser; Peter Jüni; Marcel Zwahlen
Journal:  BMC Musculoskelet Disord       Date:  2008-06-06       Impact factor: 2.362

  9 in total

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