Abstract
The aim of the present study was to report on the prevalence of disability and its association with sociodemographic factors among welfare benefit applicants in Greece. The study alsocompared the disability scores between different health conditions using the WHODAS 2.0 (12-item version), a biopsychosocial-model-based measure. The Greek WHODAS 2.0, 12-item version, was administered by interview. A three-member medical committee assessed the medical records of the applicants and assigned a disability percentage based on the biomedical measure of disability percentage determination (Barema scale). The majority of the participants were female (56.65%). Certain health conditions were presented more frequently among welfare benefit applicants (mental health disorders and neoplasms). The domains with the highest rate of difficulty were the "participation" and "life activities" domains. Significant differences were found between WHODAS 2.0 and Barema scores for all eight different health condition categories. The factorial ANOVA (8x2) showed a significant interaction effect between health condition category and gender with respect to the WHODAS 2.0 score (F = 19.033, p <.001, η2 = 0.13). The WHODAS 2.0 score was negatively correlated to gender, years of studies, and marital status and positively correlated to age, working status, and the Barema score. The results revealed that male participants with a partner who were younger, had more studies, were actively working, and had a lower Barema score would have lower WHODAS scores. Sociodemographic characteristics of welfare benefit applicants are associated with disability levels based on WHODAS 2.0. Certain health conditions, like mental health or neuromusculoskeletal conditions, are associated with higher disability scores. There are differences between the biopsychosocial and the biomedical approaches to disability assessment. The implementation of WHODAS 2.0 may contribute to a better understanding of the lived experience of patients and is a feasible and efficient tool. Combining biomedical and biopsychosocial approaches may enhance the procedures of disability assessment and help in the development of policies that support people with disabilities.
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