↓ Skip to main content

Use of a structured functional evaluation process for independent medical evaluations of claimants presenting with disabling mental illness: rationale and design for a multi-center reliability study

Overview of attention for article published in BMC Psychiatry, July 2016
Altmetric Badge

Readers on

mendeley
50 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Use of a structured functional evaluation process for independent medical evaluations of claimants presenting with disabling mental illness: rationale and design for a multi-center reliability study
Published in
BMC Psychiatry, July 2016
DOI 10.1186/s12888-016-0967-6
Pubmed ID
Authors

Monica Bachmann, Wout de Boer, Stefan Schandelmaier, Andrea Leibold, Renato Marelli, Joerg Jeger, Ulrike Hoffmann-Richter, Ralph Mager, Heinz Schaad, Thomas Zumbrunn, Nicole Vogel, Oskar Bänziger, Jason W. Busse, Katrin Fischer, Regina Kunz

Abstract

Work capacity evaluations by independent medical experts are widely used to inform insurers whether injured or ill workers are capable of engaging in competitive employment. In many countries, evaluation processes lack a clearly structured approach, standardized instruments, and an explicit focus on claimants' functional abilities. Evaluation of subjective complaints, such as mental illness, present additional challenges in the determination of work capacity. We have therefore developed a process for functional evaluation of claimants with mental disorders which complements usual psychiatric evaluation. Here we report the design of a study to measure the reliability of our approach in determining work capacity among patients with mental illness applying for disability benefits. We will conduct a multi-center reliability study, in which 20 psychiatrists trained in our functional evaluation process will assess 30 claimants presenting with mental illness for eligibility to receive disability benefits [Reliability of Functional Evaluation in Psychiatry, RELY-study]. The functional evaluation process entails a five-step structured interview and a reporting instrument (Instrument of Functional Assessment in Psychiatry [IFAP]) to document the severity of work-related functional limitations. We will videotape all evaluations which will be viewed by three psychiatrists who will independently rate claimants' functional limitations. Our primary outcome measure is the evaluation of claimant's work capacity as a percentage (0 to 100 %), and our secondary outcomes are the 12 mental functions and 13 functional capacities assessed by the IFAP-instrument. Inter-rater reliability of four psychiatric experts will be explored using multilevel models to estimate the intraclass correlation coefficient (ICC). Additional analyses include subgroups according to mental disorder, the typicality of claimants, and claimant perceived fairness of the assessment process. We hypothesize that a structured functional approach will show moderate reliability (ICC ≥ 0.6) of psychiatric evaluation of work capacity. Enrollment of actual claimants with mental disorders referred for evaluation by disability/accident insurers will increase the external validity of our findings. Finding moderate levels of reliability, we will continue with a randomized trial to test the reliability of a structured functional approach versus evaluation-as-usual.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 2%
Unknown 49 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 16%
Student > Bachelor 8 16%
Student > Ph. D. Student 5 10%
Professor 3 6%
Unspecified 3 6%
Other 9 18%
Unknown 14 28%
Readers by discipline Count As %
Medicine and Dentistry 8 16%
Nursing and Health Professions 8 16%
Social Sciences 4 8%
Unspecified 3 6%
Psychology 3 6%
Other 7 14%
Unknown 17 34%