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dc.contributor.authorJarden, RJ
dc.contributor.authorSandham, M
dc.contributor.authorSiegert, RJ
dc.contributor.authorKoziol-McLain, J
dc.date.accessioned2020-12-10T00:00:54Z
dc.date.available2020-12-10T00:00:54Z
dc.date.issued2018-12-20
dc.identifierpii: 10.1186/s13643-018-0905-4
dc.identifier.citationJarden, R. J., Sandham, M., Siegert, R. J. & Koziol-McLain, J. (2018). Quality appraisal of workers' wellbeing measures: a systematic review protocol. SYSTEMATIC REVIEWS, 7 (1), https://doi.org/10.1186/s13643-018-0905-4.
dc.identifier.issn2046-4053
dc.identifier.urihttp://hdl.handle.net/11343/253389
dc.description.abstractBACKGROUND: Measuring wellbeing has never been so important. With the rapid growth of workplace wellbeing interventions, determining their effectiveness is not only good science but also good practice. A wide variety of wellbeing measures exist in the literature but it is not always clear what they are measuring, nor which measures best meet study objectives. This study seeks to identify the most valid and reliable measure/s of workers' wellbeing. METHODS: Measures will be included if they were (1) designed for measuring workers' wellbeing and (2) available in English. We will use a three-staged electronic search strategy to identify studies that include measures that meet the inclusion criteria: (1) electronic bibliographic databases for published work, (2) reference lists of studies with included measures, and (3) the reference list of previously published reviews. The following electronic bibliographic databases will be searched: OVID: psycINFO, psycTESTS, Cochrane library, AMED, Health and Psychosocial instruments; PubMed; PubPsych; Europe PMC; Scopus and Google Scholar. Database key search terms will include [wellbeing OR "well-being"] AND [employee* OR worker* OR staff OR personnel], and a validated search filter will be applied for the measurement properties. The methodological quality of the included studies will be assessed and rated. Then, this quality assessment of the included studies will be considered in the quality assessment of the measurement instruments. Finally, recommendations for the most appropriate instrument to measure workers' wellbeing will be reported. DISCUSSION: This systematic review will evaluate the quality of instruments that measure workers' wellbeing. The findings of this review will improve clarity for researchers and clinicians in the appropriate instrument selection in the measurement of workers' wellbeing. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42018079044.
dc.languageEnglish
dc.publisherBMC
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.titleQuality appraisal of workers' wellbeing measures: a systematic review protocol
dc.typeJournal Article
dc.identifier.doi10.1186/s13643-018-0905-4
melbourne.affiliation.departmentNursing
melbourne.source.titleSystematic Reviews
melbourne.source.volume7
melbourne.source.issue1
dc.rights.licenseCC BY
melbourne.elementsid1363466
melbourne.contributor.authorJarden, Rebecca
dc.identifier.eissn2046-4053
melbourne.accessrightsOpen Access


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