Literature DB >> 19579152

Low back pain and determinants of sickness absence.

Erik L Werner1, Pierre Cote.   

Abstract

BACKGROUND: Low back pain (LBP) is a frequent diagnosis for sickness absence. The process of sick-listing is complex, and the doctor must integrate information from several levels in the decision.
OBJECTIVE: The aim of this paper is to describe the main determinants of sickness absence for LBP.
METHODS: We conducted a non-systematic search in Medline and personal files to identify determinants of sickness absence, and structured these into four levels of the sick-listing process. These levels are characteristics of 1) the sick-listed worker, 2) the sick-listing doctor, 3) the workplace, and 4) the cultural and economic conditions of the society.
RESULTS: Important characteristics of the sick-listed person seem to be poor mental health, including negative beliefs about LBP. Also, comorbidity and lack of coping abilities are found associated to sickness absence. The impact of the doctors' personal beliefs about LBP is not clear. Doctors in general seem to be frustrated by their gatekeeper role and the influence of other healthcare providers on the sick-listing decision. The workplace is an important factor in the sick-listing process, but the impact of physical working conditions is of less importance than social support, job control, and demands. On the society level, the economic awards in sickness absence and the general acceptance of being sick listed seem to be of importance for the individual's decision to claim sick leave.
CONCLUSION: The sick-listing process for LBP is complex, and the determinants are mostly non-medical. It seems important to adopt a broad perspective of how a worker copes with pain and how these coping strategies interact with cultural, economic, and societal determinants of sickness certification.

Entities:  

Mesh:

Year:  2009        PMID: 19579152     DOI: 10.1080/13814780903051866

Source DB:  PubMed          Journal:  Eur J Gen Pract        ISSN: 1381-4788            Impact factor:   1.904


  19 in total

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