D. Rex Billington

Purpose The WHOQOL tools are widely used, multi-faceted, patient-rated, quality of life (QoL) measures, developed by the World Health Organization. The WHOQOL questionnaires are used to assess generic quality of life issues affected by all health problems. This study developed a module to use with the WHOQOL tools to improve their sensitivity to Health Related QoL issues relevant to mental health recovery. Methods Using a sequential mixed-methods approach, two research stages occurred. A qualitative stage invited 88 participants with experience of mental health recovery, into focus groups and importance rating activities, to identify candidate items for the new module. Following this, a quantitative stage involved 667 participants with, and without, mental health/addiction issues completing online or paper-based questionnaires to analyze which candidate items differentiated between those with and without mental health/addiction issues. Classical test theory and iterative Partial Credit Rasch Analysis were used to identify the most suitable candidate items for a reliable and valid mental health recovery module to be used with the WHOQOL tools. Results Seventeen candidate items captured important HRQoL facets relevant to mental health recovery. Rasch analysis removed 10 misfitting items. The final 7-item module, which demonstrated the best Rasch model fit, enquires about recovery beliefs, identifying strengths, self-awareness, acceptance, capacity to relate, feeling understood, and recovery progress. Ordinal-to-interval conversion tables have been developed to optimize measurement precision when using the module. Conclusions Important HRQoL issues central to mental health recovery can be reliably evaluated by using the recovery module with the WHOQOL tools.

The WHOQOL-SRPB has been a useful module to measure aspects of QOL related to spirituality, religiousness, and personal beliefs, but recent research has pointed to potential problems with its proposed factor structure. Three of the eight facets of the WHOQOL-SRPB have been identified as potentially different from the others, and to date only a limited number of factor analyses of the instrument have been published. Analyses were conducted using data from a sample of 679 university students who had completed the WHOQOL-BREF quality of life questionnaire, the WHOQOL-SRPB module, the Perceived Stress scale, and the Brief COPE coping strategies questionnaire. Informed by these analyses, confirmatory factor analyses suitable for ordinal-level data explored the potential for a two-factor solution as opposed to the originally proposed one-factor solution. The facets WHOQOL-SRPB facets connected, strength, and faith were highly correlated with each other as well as with the religious coping sub-scale of the Brief COPE. Combining these three facets to one factor in a two-factor solution for the WHOQOL-SRPB yielded superior goodness-of-fit indices compared to the original one-factor solution. A two-factor solution for the WHOQOL-SRPB is more tenable, in which three of the eight WHOQOL-SRPB facets group together as a spiritual coping factor and the remaining facets form a factor of spiritual quality of life. While discarding the facets connectedness, strength, and faith without additional research would be premature, users of the scale need to be aware of this alternative two-factor structure, and may wish to analyze scores using this structure.

Purpose The present study validated the abbreviated version of the World Health Organization Quality of Life (WHOQOL-BREF) questionnaire for general use in New Zealand. Methods A random postal sample from the national electoral roll was used, and 808 questionnaires were returned. Psychometric properties of the instrument were assessed, including tests of the four-domain factor structure using confirmatory factor analysis and Rasch analysis. Results Goodness-of-fit from the confirmatory factor analysis were good, and the overall conclusion of the Rasch analysis supported the confirmatory factor analysis (CFA) findings after dealing with problems of threshold ordering, local dependency, and differential item functioning (DIF). Conclusions The WHOQOL-BREF is valid for general use in New Zealand. In the future work, the WHOQOL-BREF domain scores should either be analyzed using non-parametric statistics or data should be fitted to the Rasch model to derive interval person estimates.

With the approval of the World Health Organization (WHO), AUT University has established a new centre to develop and promote the use of the World Health Organization Quality of Life (WHOQOL) assessment instruments for health and health-related studies in New Zealand. The purpose of this paper is to introduce the NZ WHOQOL Group and to describe the structure and properties of the questionnaires in order to help the reader decide whether the instruments are suitable for their research and their use.