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Published on: February 22, 2018
The impact of providing personalized depression risk information on self-help and help-seeking behaviors: Results
Jian Li Wang1,2, Heidi Eccles1, Norbert Schmitz3,4
1Work & Mental Health Research Unit, Institute of Mental Health Research, University of Ottawa, Ottawa, Ontario, Canada.
Objectives:
To evaluate the impact of providing personalized depression risk information on self-help and help-seeking behaviors among individuals who are at high risk of having a major depressive episode (MDE).
Materials And Methods:
In a mixed methods randomized controlled trial, participants who were at high risk of having a MDE, were recruited from across Canada, and were randomized into intervention (n = 358) and control (n = 354) groups. Participants in the intervention group received their personalized depression risk estimated by sex-specific risk prediction models for MDE. All participants were assessed at baseline, 6 and 12 months.
Results:
Repeated measure mixed effects modeling showed significant between group differences in self-help scores. In the complete case analysis, the between group difference in mean self-help change score was 1.13 at 12 months (effect size = 0.16). Among participants who reported "fair" or "poor health," the between group difference in mean self-help change score was 2.78 at 12 months (effect size = 0.35). The qualitative data revealed three themes and the findings are consistent with the quantitative results.
Conclusions:
Providing personalized depression risk information has a positive impact on self-help in high-risk individuals, particularly in those with poor health.
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