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A randomized controlled trial comparing brief online self-guided interventions for loneliness.
Benjamin T Kaveladze1, Sara F Gastelum2, Dong-Anh C Ngo2
1Department of Medical Social Sciences, Northwestern University.
Journal of Consulting and Clinical Psychology
|September 26, 2024
Summary
Brief online interventions for loneliness showed similar effectiveness to a control, despite higher acceptability. A single-session intervention (SSI) for loneliness had a better completion rate than a longer program but did not outperform the control.
Area of Science:
- Psychology
- Public Health
- Digital Health
Background:
- Loneliness is a significant global health concern.
- Existing interventions face scalability challenges.
- Brief online interventions offer a potential solution for wider access.
Purpose of the Study:
- To compare the effectiveness and acceptability of two self-guided online loneliness interventions against an active control.
- To evaluate a single-session intervention (SSI) and a 3-week, three-session intervention for loneliness.
Main Methods:
- A preregistered three-armed trial with 908 participants (ages 16-78) was conducted.
- Interventions included a loneliness SSI, a 3-week loneliness program, and a supportive therapy SSI (control).
- Outcomes measured were loneliness reduction, intervention acceptability, and completion rates.
Main Results:
- Loneliness decreased across all groups, with no significant difference between loneliness interventions and the control.
- Both loneliness interventions were rated as more acceptable than the control.
- Completion rates were highest for the control SSI (86.6%) and loneliness SSI (69.4%) compared to the 3-week intervention (14.9%).
Conclusions:
- A single-session intervention (SSI) for loneliness was comparable in effectiveness to a longer program and had higher completion rates.
- Neither online loneliness intervention significantly reduced loneliness more than the active control.
- Future research should focus on developing more effective SSIs and identifying suitable populations.

