Title |
Towards comprehensive and transparent reporting: context-specific additions to the ICF taxonomy for medical evaluations of work capacity involving claimants with chronic widespread pain and low back pain
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Published in |
BMC Health Services Research, August 2014
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DOI | 10.1186/1472-6963-14-361 |
Pubmed ID | |
Authors |
Urban Schwegler, Jessica Anner, Andrea Glässel, Mirjam Brach, Wout De Boer, Alarcos Cieza, Bruno Trezzini |
Abstract |
Medical evaluations of work capacity provide key information for decisions on a claimant's eligibility for disability benefits. In recent years, the evaluations have been increasingly criticized for low transparency and poor standardization. The International Classification of Functioning, Disability and Health (ICF) provides a comprehensive spectrum of categories for reporting functioning and its determinants in terms of impairments and contextual factors and could facilitate transparent and standardized documentation of medical evaluations of work capacity. However, the comprehensiveness of the ICF taxonomy in this particular context has not been empirically examined. In this study, we wanted to identify potential context-specific additions to the ICF for its application in medical evaluations of work capacity involving chronic widespread pain (CWP) and low back pain (LBP). |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Korea, Republic of | 1 | 3% |
Unknown | 38 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 7 | 18% |
Student > Bachelor | 6 | 15% |
Student > Master | 5 | 13% |
Student > Doctoral Student | 4 | 10% |
Researcher | 3 | 8% |
Other | 9 | 23% |
Unknown | 5 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 9 | 23% |
Nursing and Health Professions | 7 | 18% |
Neuroscience | 3 | 8% |
Social Sciences | 3 | 8% |
Computer Science | 2 | 5% |
Other | 8 | 21% |
Unknown | 7 | 18% |