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dc.contributor.authorKoppernaes, Julia
dc.date.accessioned2023-04-10T16:53:32Z
dc.date.available2023-04-10T16:53:32Z
dc.date.issued2023-04-06
dc.identifier.urihttp://hdl.handle.net/10222/82360
dc.description.abstractIntro: Post-secondary students need accessible, high-quality e-mental health services now more than ever. Q-Life is an evidence-informed, online, self-directed well-being and resilience program that is highly accessible. The purpose of this project is to evaluate the online well-being and resilience program for post-secondary students called Q-Life to make data-driven recommendations for program development. Methods: 424 post-secondary students with pre to post Q-Life assessment data were grouped across engagement levels, program versions, and COVID-19 impact. Subgroup comparisons of effectiveness and reach were made. The relationship between engagement, logged lifestyle behaviours, and mentalities and self-reported well-being scores were investigated. Engagement was compared across demographic groups and program versions. Results: A sign test and two-way mixed factorial ANOVAs showed that Q-Life was effective with improvements of 8-10% in well-being and resilience scores (i.e., Q-Life Experience Score) across time for all subgroups of program version and COVID-19 impact. Engagement was weakly associated with well-being scores from Time One (T1) to Time Two (T2), but there was no discernible dose effect. Logged lifestyle behaviours and mentalities were not predictive of T2 well-being scores. Participants were mostly Caucasian and female. Discussion: There are many practical implications to be gleaned from the evaluation of Q-Life for Q-Life specifically, and for e-mental health program development and research in general. This evaluation served as a reminder of the importance of conscientiousness in collection of demographic data, engagement data, and self-monitoring data. Baseline well-being and resilience was most predictive of T2 scores which underscores the importance of meeting participants where they are and targeting systemic influencers of well-being and resilience. Conclusion: E-mental health programs such as Q-Life show potential for easing the strain on the mental healthcare system, but there is still room for improvement in reaching marginalized populations and monitoring effectiveness if we are to meet the CSA Group’s ‘National Standard’ of Post-Secondary Student Mental Health.en_US
dc.language.isoenen_US
dc.subjectwell-beingen_US
dc.subjectresilienceen_US
dc.subjectpost-secondary studentsen_US
dc.subjecte-mental healthen_US
dc.subjecttelehealthen_US
dc.titleEVALUATING AN ONLINE, SELF-ADMINISTERED STUDENT WELL-BEING AND RESILIENCE PROGRAMen_US
dc.date.defence2023-02-23
dc.contributor.departmentSchool of Health & Human Performanceen_US
dc.contributor.degreeMaster of Scienceen_US
dc.contributor.external-examinerN/Aen_US
dc.contributor.graduate-coordinatorDr. Melanie Keatsen_US
dc.contributor.thesis-readerDr. Chris Shieldsen_US
dc.contributor.thesis-readerDr. Shannon Johnsonen_US
dc.contributor.thesis-readerDr. Angela Kolenen_US
dc.contributor.thesis-supervisorDr. Jonathon Fowlesen_US
dc.contributor.thesis-supervisorDr. Jeffery Zahavichen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.copyright-releaseNot Applicableen_US
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