rss
Occup Environ Med 62:851-860 doi:10.1136/oem.2004.015842
  • Original article

Prognostic factors for duration of sick leave in patients sick listed with acute low back pain: a systematic review of the literature

  1. I A Steenstra1,
  2. J H Verbeek2,
  3. M W Heymans1,
  4. P M Bongers3
  1. 1Institute for Research in Extramural Medicine and Department of Public and Occupational Health, VU University Medical Center, Amsterdam, Netherlands
  2. 2Finnish Institute of Occupational Health, Cochrane Occupational Health Field, Department of Research and Development in Occupational Health Services, Kuopio, Finland
  3. 3TNO Quality of life, Hoofddorp, Netherlands
  1. Correspondence to:
 Dr I A Steenstra
 Coronel Institute for Occupational and Environmental Health, Academic Medical Center/University of Amsterdam, PO Box 23900, 1200 DE Amsterdam, Netherlands; i.a.steenstraamc.uva.nl
  • Accepted 18 May 2005

Abstract

Background: The percentages of patients with acute low back pain (LBP) that go on to a chronic state varies between studies from 2% to 34%. In some of these cases low back pain leads to great costs.

Aims: To evaluate the evidence for prognostic factors for return to work among workers sick listed with acute LBP.

Methods: Systematic literature search with a quality assessment of studies, assessment of levels of evidence for all factors, and pooling of effect sizes.

Results: Inclusion of studies in the review was restricted to inception cohort studies of workers with LBP on sick leave for less than six weeks, with the outcome measured in absolute terms, relative terms, survival curve, or duration of sick leave. Of the studies, 18 publications (14 cohorts) fulfilled all inclusion criteria. One low quality study, four moderate quality studies, and nine high quality studies were identified; 79 prognostic factors were studied and grouped in eight categories for which the evidence was assessed.

Conclusions: Specific LBP, higher disability levels, older age, female gender, more social dysfunction and more social isolation, heavier work, and receiving higher compensation were identified as predictors for a longer duration of sick leave. A history of LBP, job satisfaction, educational level, marital status, number of dependants, smoking, working more than 8 hour shifts, occupation, and size of industry or company do not influence duration of sick leave due to LBP. Many different constructs were measured to identify psychosocial predictors of long term sick leave, which made it impossible to determine the role of these factors.

Footnotes

  • Funding: This study is funded by the Netherlands Organisation for Health Research and Development (Zon/Mw). The funding organisation had no role in design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review, or approval of the manuscript.

  • Competing interests: none declared

Responses to this article