Validity of the Brazilian version of WHOQOL-BREF in depressed patients using Rasch modelling

Abstract

OBJECTIVE:To assess the validity of the Brazilian version of the World Health Organization Quality of Life Instrument -Abbreviated version (WHOQOL-BREF) in adults with major depression, using Rasch modelling. METHODS:Study analyzing data from the baseline sample of the Longitudinal Investigation of Depression Outcomes in Brazil, including a total of 208 patients with major depression recruited in a primary care service in Porto Alegre (Southern Brazil), in 1999. The Center for Epidemiological Studies Depression Scale was used to assess intensity of depression; the WHOQOL-BREF to assess generic quality of life; and the Composite International Diagnostic Interview version 2.1 for the diagnosis of depression. RESULTS:In the Rasch analysis, the four domains of WHOQOL-BREF showed appropriate fi t to this model. Some items needed adjustments: four items were rescored (pain, fi nances, services, and transport); two items (work and activity) were identifi ed as having dependency of responses, and one item was deleted (sleep) due to multidimensionality. CONCLUSIONS:The validation of the WHOQOL-BREF Brazilian version using Rasch analysis complements previous validation studies, evidencing the robustness of this instrument as a generic cross-cultural quality of life measure.

A Case Control Study of Subjective Quality of Life in Outpatients with Depression

“…This female predominance applies to both cases and controls. This conforms to the findings of Rocha et al [41] who reported that 156 (75.0%) of their study subjects were females while validating the WHOQOL-BREF in depressed Brazilians.…”

“…The mean age of the participants was 39.11 ± 12.40 years. This is similar to what was found by Rocha et al [41] where the mean age was 39.12 ± 13.6 years while validating the WHOQOL-BREF among depressed patients in Brazil. Another reason for the characteristic young age of the study population is because it is a common phenomenon in developing countries including Nigeria.…”

Psychometric properties of the EUROHIS-QOL 8-item index (WHOQOL-8) in a Brazilian sample

“…The other two fit statistics are item-trait interaction with the total item chi-square, which needs to present a low score, and the p-value, which must not be significant (p 4 0.05) for good fit to the Rasch model. [33][34][35] SEM (using maximum likelihood as the estimation method) was used to analyze the factor structure. The measures of fit used were the chi-square statistic (ideally demonstrating nonsignificance, i.e., p 4 0.001), the comparative fit index [CFI] (values close to 1 indicate a good fit), the root mean square error of approximation [RMSEA] (a value of 0 indicates perfect fit), the goodness of fit index [GFI] (values close to 1 indicate perfect fit), and the RMSR (a value of 0 indicates perfect fit).…”

Construct validity of the Chinese version of WHOQOL-BREF & Disabilities module in 1000 adults with disabilities: An Item Response Theory analysis

“…Both Rasch model for dichotomous/ polytomous data and GRM have been comprised in IRT modeling methods of evaluating validity of a scale [12,22,23], and which model performing better for the ordinal polytomous responses still needs further and indepth studies. Rasch model analysis has been used for validity evaluation of the WHOQOL-BREF [23,24]. In our study, we chose GRM instead of Rasch model.…”