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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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Personalization Strategies for Increasing Engagement With Digital Mental Health Resources: Sequential Multiple

Julien Rouvere1, Isabell R Griffith Fillipo1, Meghan Romanelli2

  • 1Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, 1959 NE Pacific Street, Box 356560, Seattle, WA, 98195-6560, United States, 1 206-221-5498.

JMIR Mental Health
|November 4, 2025
PubMed
Summary
This summary is machine-generated.

Personalizing mental health websites with demographic tailoring significantly boosted user engagement and resource clicks. Tailoring to perceived need or next steps showed less impact, highlighting demographics as key for online mental health resource effectiveness.

Keywords:
MHAMental Health AmericaSMARTmental health websitepersonalizationsequential multiple assignment randomized trialtailoring strategies

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Area of Science:

  • Digital Health
  • Human-Computer Interaction
  • Mental Health Interventions

Background:

  • Web-based mental health resources offer scalable solutions but suffer from low user engagement.
  • Many users disengage before accessing beneficial mental health tools online.
  • Barriers to traditional treatment increase the importance of effective online resources.

Purpose of the Study:

  • To evaluate if personalized tailoring improves engagement on a self-guided mental health website.
  • To compare the effectiveness of tailoring based on demographics versus perceived need and intended next steps.

Main Methods:

  • A sequential multiple assignment randomized trial was conducted on the Mental Health America website.
  • Participants were randomized into conditions involving demographic surveys or 'Next Steps' surveys for tailoring.
  • Engagement was measured by disengagement rates and clicks on featured versus general resources.

Main Results:

  • Adding tailoring questions initially increased disengagement odds by 14%.
  • Tailoring resources to demographics significantly reduced disengagement by 10% and increased featured resource clicks by 90%.
  • Tailoring to perceived need or next steps did not significantly reduce disengagement but showed modest increases in resource clicks.

Conclusions:

  • Personalization, particularly tailoring to demographics, can enhance engagement with online mental health resources.
  • While initial tailoring questions may slightly increase disengagement, demographic tailoring proves most effective.
  • Findings offer design implications for optimizing user engagement in digital mental health platforms.