A personal sensing technology enabled service versus a digital psychoeducation control for primary care patients with depression and anxiety: a pilot randomized controlled trial

Abstract Background Technology-enabled services (TES; clinical services that include both technology-driven [e.g., personal sensing technologies] and person-powered support elements) may address gaps in depression and anxiety treatments in healthcare settings. The current study: (1) developed a TES...

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Main Authors: Colleen Stiles-Shields, Karen M. Reyes, Tanvi Lakhtakia, Shannon R. Smith, Olga E. Barnas, Elizabeth L. Gray, Charles J. Krause, Kaylee P. Kruzan, Mary J. Kwasny, Zara Mir, Sameer Panjwani, Steven K. Rothschild, Lisa Sánchez-Johnsen, Nathan W. Winquist, Emily G. Lattie, Nicholas B. Allen, Madhu Reddy, David C. Mohr
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Psychiatry
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Online Access:https://doi.org/10.1186/s12888-024-06284-z
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Summary:Abstract Background Technology-enabled services (TES; clinical services that include both technology-driven [e.g., personal sensing technologies] and person-powered support elements) may address gaps in depression and anxiety treatments in healthcare settings. The current study: (1) developed a TES tailored for Primary Care patients with depression and/or anxiety, and (2) conducted a pilot randomized controlled trial to assess the efficacy of the TES compared to a digital psychoeducation control app. Methods Participants were randomized to either: (1) TES: the “Vira” smartphone app (Ksana Health Inc.), informed by behavioral activation and using passive sensing technology to provide behavioral “insights” and target behaviors associated with mental health symptoms, alongside lay-provider coaching, or (2) Control: the Mood Education mobile app (ME), containing static psychoeducational resources designed to target mental health symptoms. Both apps collected usage data. Participants completed assessments on depression (PHQ-9), anxiety (GAD-7), health-related quality of life (PedsQL), and engagement (TWEETs) at baseline, mid-treatment (week 4), end-of-treatment (week 8), and post-treatment (week 12). Results Participants (N = 130) were randomized to receive either the TES (Vira; Mage= 30) or ME (Mage= 33). Linear mixed-effects models determined significant improvements in PHQ-9 and GAD-7 scores for participants across both conditions (ps < 0.001). There was no interactive effect of intervention and time for the PHQ-9 (p = .90) nor the GAD-7 (p = .49). Adjusting for baseline differences and randomization strata, TES participants reported a greater change in a quality of life rating of Physical Functioning (PedsQL) across time (p = .018). TES participants also reported higher levels of engagement and demonstrated higher app usage. However, adjusting for baseline symptom severity, neither app usage nor coach interaction frequency moderated outcomes (ps ≥ 0.2). Conclusions While the TES demonstrated superior engagement, improvements in depressive and anxious symptoms for both conditions speak to the potential benefit of both TES and low-intensity psychoeducation treatments in care settings. Future research is needed to better understand which patients might differentially benefit from TESs and broader personal sensing technologies over low-intensity treatments. Trial registration ClinicalTrials.gov NCT05406791.
ISSN:1471-244X