Literature DB >> 35093042

The perceived importance of prognostic aspects considered by physicians during work disability evaluation: a survey.

Sylvia P Snoeck-Krygsman1,2,3, Frederieke G Schaafsma4,5, Birgit H P M Donker-Cools6,4,7, Carel T J Hulshof6,4, Lyanne P Jansen6,4, René J Kox7, Jan L Hoving6,4.   

Abstract

BACKGROUND: Assessing prognosis is challenging for many physicians in various medical fields. Research shows that physicians who perform disability assessments consider six areas when evaluating a prognosis: disease, treatment, course of the disease, external information, patient-related and physician-related aspects. We administered a questionnaire to evaluate how physicians rate the importance of these six prognosis areas during work disability evaluation and to explore what kind of support they would like during prognosis assessment.
METHODS: Seventy-six physicians scored the importance of 23 prognostic aspects distributed over six prognosis areas. Participants scored the importance of each aspect both "in general" and from the perspective of a case vignette of a worker with a severe degenerative disease. The questionnaire also covered needs and suggestions for support during the evaluation of prognoses.
RESULTS: Medical areas that are related to the disease, or the treatment or course of the disease, appeared important (scores of 7.0-9.0), with less differing opinions among participants (IQR 1.0-3.0). Corresponding verbatim remarks supported the importance of disease and treatment as prognostic aspects. In comparison, patient- and physician-related aspects scored somewhat lower, with more variability (range 4.0-8.0, with IQR 2.0-5.0 for patient- and physician-related considerations). Participants indicated a need for a tool or online database that includes prognostic aspects and prognostic evidence.
CONCLUSIONS: Despite some variation in scores, the physicians rated all six prognosis areas as important for work disability evaluations. This study provides suggested aids to prognosis assessment, including an online support tool based on evidence-based medicine features.
© 2022. The Author(s).

Entities:  

Keywords:  Disability and health (MeSH); Disability evaluation (MeSH); Evidence-based medicine (MeSH); International classification of functioning; Prognosis (MeSH); Work (MeSH)

Mesh:

Year:  2022        PMID: 35093042      PMCID: PMC8801115          DOI: 10.1186/s12911-022-01758-0

Source DB:  PubMed          Journal:  BMC Med Inform Decis Mak        ISSN: 1472-6947            Impact factor:   2.796


  26 in total

1.  Evaluation of a workshop on evidence-based medicine for social insurance physicians.

Authors:  Rob Kok; Jan L Hoving; Jos H Verbeek; Frederieke G Schaafsma; Paul B A Smits; Frank J H van Dijk
Journal:  Occup Med (Lond)       Date:  2008-01-18       Impact factor: 1.611

2.  Development of ICF core set for disability evaluation in social security.

Authors:  Søren Brage; Peter Donceel; Freddy Falez
Journal:  Disabil Rehabil       Date:  2008       Impact factor: 3.033

3.  Integrating evidence in disability evaluation by social insurance physicians.

Authors:  Rob Kok; Jan L Hoving; Jos Verbeek; Frederieke G Schaafsma; Frank Jh van Dijk
Journal:  Scand J Work Environ Health       Date:  2011-04-26       Impact factor: 5.024

4.  Reconsideration ICF scheme.

Authors:  Yvonne F Heerkens; Marjolein de Weerd; Machteld Huber; Carin P M de Brouwer; Sabina van der Veen; Rom J M Perenboom; Coen H van Gool; Huib Ten Napel; Marja van Bon-Martens; Hillegonda A Stallinga; Nico L U van Meeteren
Journal:  Disabil Rehabil       Date:  2017-09-13       Impact factor: 3.033

5.  Preferences regarding the way of use and design of a work ability prognosis support tool: a focus group study among professionals.

Authors:  Ilse Louwerse; Maaike A Huysmans; Jolanda H J van Rijssen; Joyce Overvliet; Allard J van der Beek; Johannes R Anema
Journal:  Disabil Rehabil       Date:  2019-11-26       Impact factor: 3.033

6.  Evaluation of work disability and the international classification of functioning, disability and health: what to expect and what not.

Authors:  Jessica Anner; Urban Schwegler; Regina Kunz; Bruno Trezzini; Wout de Boer
Journal:  BMC Public Health       Date:  2012-06-21       Impact factor: 3.295

7.  Search filters for finding prognostic and diagnostic prediction studies in Medline to enhance systematic reviews.

Authors:  Geert-Jan Geersing; Walter Bouwmeester; Peter Zuithoff; Rene Spijker; Mariska Leeflang; Karel G M Moons; Karel Moons
Journal:  PLoS One       Date:  2012-02-29       Impact factor: 3.240

8.  A search strategy to identify studies on the prognosis of work disability: a diagnostic test framework.

Authors:  Rob Kok; Jos A H M Verbeek; Babs Faber; Frank J H van Dijk; Jan L Hoving
Journal:  BMJ Open       Date:  2015-05-19       Impact factor: 2.692

9.  Improved quality and more attractive work by applying EBM in disability evaluations: a qualitative survey.

Authors:  Jan L Hoving; Rob Kok; Sarah M Ketelaar; Paul B A Smits; Frank J H van Dijk; Jos H Verbeek
Journal:  BMC Med Educ       Date:  2016-02-29       Impact factor: 2.463

10.  Assessment of prognosis by physicians involved in work disability evaluation: A qualitative study.

Authors:  René J Kox; Jan L Hoving; Jos H Verbeek; Maria J E Schouten; Carel T J Hulshof; Haije Wind; Monique H W Frings-Dresen
Journal:  PLoS One       Date:  2019-02-08       Impact factor: 3.240

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