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Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method

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Motive-Oriented, Personalized, Internet-Based Interventions for Depression: Nonclinical Experimental Study.

Lara Bücker¹, Thomas Berger², Alina Bruhns¹

¹Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

JMIR Formative Research

|September 13, 2022

Summary

This summary is machine-generated.

Personalizing internet-based interventions to match user motives, particularly the need for support, significantly boosts adherence and satisfaction. This approach enhances engagement in self-help for depression.

Keywords:

adherence depression internet-based interventions motive orientation personalization

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Area of Science:

Psychology
Digital Health
Intervention Science

Background:

Low adherence in internet-based self-help interventions for depression is often due to a mismatch between user needs and program design.
Personalized, motive-oriented interventions may improve user experience and adherence by aligning program content with individual motivations.
Understanding motivational fit is crucial for developing effective digital mental health tools.

Purpose of the Study:

To experimentally investigate the impact of motivational person-program fit on adherence, working alliance, and satisfaction in a nonclinical sample.
To test whether aligning intervention content with user's needs for autonomy or support influences engagement and satisfaction.

Main Methods:

A nonclinical sample (N=55) evaluated tailored excerpts of a depression self-help program designed to match either autonomy or support motives.
Participants were quasi-experimentally assigned to autonomy or support groups based on their dominant motive.
Measures included anticipated adherence, working alliance, and treatment satisfaction after evaluating congruent and incongruent program excerpts.

Main Results:

A congruent person-program fit for the 'being supported' motive significantly increased anticipated adherence, working alliance, and satisfaction compared to a non-congruent fit.
No significant impact was found for the 'being autonomous' motive on these outcomes.
Correlations supported hypotheses, indicating complex interactions between motives and program fit.

Conclusions:

Motive orientation appears to positively influence adherence, working alliance, and satisfaction in internet-based self-help interventions.
Tailoring interventions to support-seeking individuals shows promise for improving engagement in digital mental health.
Future research should utilize randomized controlled trials with clinical populations to validate these findings and assess clinical outcomes.