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dc.contributor.authorRowthorn, Melissa J.en_NZ
dc.contributor.authorBillington, D. Rexen_NZ
dc.contributor.authorKrägeloh, Christian U.en_NZ
dc.contributor.authorLandon, Jasonen_NZ
dc.contributor.authorMedvedev, Oleg N.en_NZ
dc.date.accessioned2019-08-12T23:55:20Z
dc.date.available2019-08-12T23:55:20Z
dc.date.issued2019en_NZ
dc.identifier.citationRowthorn, M. J., Billington, D. R., Krägeloh, C. U., Landon, J., & Medvedev, O. N. (2019). Development of a mental health recovery module for the WHOQOL. Quality of Life Research. https://doi.org/10.1007/s11136-019-02265-yen
dc.identifier.issn0962-9343en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/12778
dc.description.abstractPurpose 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.
dc.format.mimetypeapplication/pdf
dc.language.isoenen_NZ
dc.publisherSpringer Science and Business Media LLCen_NZ
dc.rights© 2019 Springer Science and Business Media LLC. This is the author's accepted version. The final publication is available at Springer via dx.doi.org/10.1007/s11136-019-02265-y
dc.subjectQuality of life
dc.subjectPatient-reported outcome
dc.subjectMeasurement
dc.subjectRasch model
dc.subjectWHOQOL
dc.subjectMental health recovery
dc.titleDevelopment of a mental health recovery module for the WHOQOLen_NZ
dc.typeJournal Article
dc.identifier.doi10.1007/s11136-019-02265-yen_NZ
dc.relation.isPartOfQuality of Life Researchen_NZ
pubs.declined2019-08-12T14:42:49.709+1200
pubs.elements-id240177
pubs.publication-statusPublished onlineen_NZ
dc.identifier.eissn1573-2649en_NZ


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