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Harnessing Human-Centered Design for Evidence-Based Psychosocial Interventions and Implementation Strategies in Community Settings: Protocol for Redesign to Improve Usability, Engagement, and Appropriateness

Harnessing Human-Centered Design for Evidence-Based Psychosocial Interventions and Implementation Strategies in Community Settings: Protocol for Redesign to Improve Usability, Engagement, and Appropriateness

For the meta-analysis, each project’s mechanism and outcome will be summarized as a Cohen d effect size comparing localized DDBT with original clinical intervention and implementation strategy and corresponding 95% CI, using random effects weighting by the inverse of the within- and between-studies variance. Standard data screening and adjustments will be made to the data (eg, to limit the effect of outliers, they will be winsorized).

Aaron R Lyon, Sean A Munson, Michael D Pullmann, Brittany Mosser, Tricia Aung, John Fortney, Alex Dopp, Katie P Osterhage, Helen G Haile, Kathryn E Bruzios, Brittany E Blanchard, Ryan Allred, Macey R Fuller, Patrick J Raue, Ian Bennett, Jill Locke, Karen Bearss, Denise Walker, Elizabeth Connors, Eric Bruns, Jenna Van Draanen, Doyanne Darnell, Patricia A Areán

JMIR Res Protoc 2025;14:e65446

Using Virtual Reality to Reduce Stress in Adolescents: Mixed Methods Usability Study

Using Virtual Reality to Reduce Stress in Adolescents: Mixed Methods Usability Study

Screenshots of gameplay illustrating each of the 6 activities: (A) riverboat, (B) painting, (C) scavenger hunt, (D) bird search, (E) rabbit hole, (F) rock stacking. The University of Washington Institutional Review Board approved this study (Study 00003795: Virtual Relaxation Experience). A convenience sample of teens was recruited from April 2021 through June 2021 via social media (Facebook, Twitter), listservs, and snowball sampling.

Elin A Björling, Jennifer Sonney, Himanshu Zade, Sofia Rodriguez, Michael D Pullmann, Soo Hyun Moon

JMIR XR Spatial Comput 2024;1:e49171

Effectiveness of Mental Health Apps for Distress During COVID-19 in US Unemployed and Essential Workers: Remote Pragmatic Randomized Clinical Trial

Effectiveness of Mental Health Apps for Distress During COVID-19 in US Unemployed and Essential Workers: Remote Pragmatic Randomized Clinical Trial

A priori power analysis for an ANOVA F test indicated that a sample size of 800 (n=200 participants in each of the active and control app conditions) would be sufficient with power=0.80 and α=.05 for a minimum detectable effect size (MDES) of Cohen d=0.24 for main effect comparisons between any 2 conditions. The post hoc power analysis for 643 participants with complete data found an MDES of Cohen d=0.29 for main effect comparisons between any 2 conditions.

Katherine Anne Comtois, Felicia Mata-Greve, Morgan Johnson, Michael D Pullmann, Brittany Mosser, Patricia Arean

JMIR Mhealth Uhealth 2022;10(11):e41689