RESUMO
PURPOSE: Insurers often commission psychiatric experts to evaluate the eligibility of workers with mental disorders for disability benefits, by estimating their residual work capacity (RWC). We investigated the validity of a standardized, computer-based battery of established diagnostic instruments, for evaluating the personality, cognition, performance, symptom burden, and symptom validity of claimants. METHODS: One hundred and fifty-three claimants for benefits were assessed by the assembled test battery, which was applied in addition to a conventional clinical work disability evaluation. RESULTS: A principal component analysis of the test and questionnaire battery data revealed six factors (Negative Affectivity, Self-Perceived Work Ability, Behavioral Dysfunction, Working Memory, Cognitive Processing Speed, and Excessive Work Commitment). Claimants with low, medium, and high RWC exclusively varied in the factor Negative Affectivity. Importantly, this factor also showed a strong association to psychiatric ratings of capacity limitations in psychosocial functioning. CONCLUSIONS: The findings demonstrate that the used test battery allows a substantiation of RWC estimates and of psychiatric ratings by objective and standardized data. If routinely incorporated in work disability evaluations, the test battery could increase their transparency for all stakeholders (insurers, claimants, medical experts, expert case-coordinators, and legal practitioners) and would open new avenues for research in the field of insurance medicine.Implications for rehabilitationThe residual work capacity (RWC) estimation by medical experts is internationally good practice, but plagued by a relatively low interrater agreement.The current study shows that psychiatric RWC estimates and capacity limitation ratings can be substantiated by data from objective, standardized psychometric instruments.Systematically using such instruments might help to improve the poor interrater agreement for RWC estimates in work disability evaluations.Such data could also be used for adopting vocational trainings and return-to-work programs to the individual needs of workers with mental health problems.
