ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2019
Development of a mental health recovery module for the WHOQOL.
Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Quality of life dimensions in people living with mental disorders: moving beyond global scores.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025Article
- The impact of nursing intervention on the quality of life of patients with major depressive disorder: a narrative review.Frontiers in psychiatry · 2025Review
- All around suboptimal health - a joint position paper of the Suboptimal Health Study Consortium and European Association for Predictive, Preventive and Personalised Medicine.The EPMA journal · 2021Article
- Trajectories of mental health symptoms predict long-term quality of life among Wenchuan adolescent survivors: A 10-year follow-up study.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2021Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe 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.
methodsUsing 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.
resultsSeventeen 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.
conclusionsImportant HRQoL issues central to mental health recovery can be reliably evaluated by using the recovery module with the WHOQOL tools.
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