Peer Recommendation Interventions for Health-related Social Support: a Feasibility Assessment

Online health communities (OHCs) offer the promise of connecting with supportive peers. Forming these connections first requires finding relevant peers—a process that can be time-consuming. Peer recommendation systems are a computational approach to make finding peers easier during a health journey. By encouraging OHC users to alter their online social networks, peer recommendations could increase available support. But these benefits are hypothetical and based on mixed, observational evidence. To experimentally evaluate the effect of peer recommendations, we conceptualize these systems as health interventions designed to increase specific beneficial connection behaviors. In this paper, we designed a peer recommendation intervention to increase two behaviors: reading about peer experiences and interacting with peers. We conducted an initial feasibility assessment of this intervention by conducting a 12-week field study in which 79 users of CaringBridge.org received weekly peer recommendations via email. Our results support the usefulness and demand for peer recommendation and suggest benefits to evaluating larger peer recommendation interventions. Our contributions include practical guidance on the development and evaluation of peer recommendation interventions for OHCs.

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Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2025-05-02
DOI
https://doi.org/10.1145/3711044
Primary Topic
Social Media and Politics
Type
article
Field-Weighted Citation Impact
0.00
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article

Peer Recommendation Interventions for Health-related Social Support: a Feasibility Assessment

Matthew Zent, Loren Terveen, Svetlana Yarosh, Matthew McNamara et al.
Proceedings of the ACM on Human-Computer Interaction
Social Media and Politics
article

Peer Recommendation Interventions for Health-related Social Support: a Feasibility Assessment

Matthew Zent, Loren Terveen, Svetlana Yarosh, Matthew McNamara, Zachary Levonian, Ngan Thanh Trang Nguyen
article en

Abstract

Online health communities (OHCs) offer the promise of connecting with supportive peers. Forming these connections first requires finding relevant peers—a process that can be time-consuming. Peer recommendation systems are a computational approach to make finding peers easier during a health journey. By encouraging OHC users to alter their online social networks, peer recommendations could increase available support. But these benefits are hypothetical and based on mixed, observational evidence. To experimentally evaluate the effect of peer recommendations, we conceptualize these systems as health interventions designed to increase specific beneficial connection behaviors. In this paper, we designed a peer recommendation intervention to increase two behaviors: reading about peer experiences and interacting with peers. We conducted an initial feasibility assessment of this intervention by conducting a 12-week field study in which 79 users of CaringBridge.org received weekly peer recommendations via email. Our results support the usefulness and demand for peer recommendation and suggest benefits to evaluating larger peer recommendation interventions. Our contributions include practical guidance on the development and evaluation of peer recommendation interventions for OHCs.

Proceedings of the ACM on Human-Computer InteractionVol. 9(2)
University of Minnesota (US)
Quality Education
Openalex Percentile: Top 89%
Social Media and Politics
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