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J Am Med Inform Assoc. 2016 May;23(3):496-507. doi: 10.1093/jamia/ocv175. Epub 2016 Feb 5.

Leveraging cues from person-generated health data for peer matching in online communities.

Author information

1
Group Health Research Institute, Seattle, USA hartzler.a@ghc.org.
2
Human Centered Design and Engineering, University of Washington, Seattle, USA.
3
Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, USA.
4
The Information School, University of Washington, Seattle, USA.

Abstract

OBJECTIVE:

Online health communities offer a diverse peer support base, yet users can struggle to identify suitable peer mentors as these communities grow. To facilitate mentoring connections, we designed a peer-matching system that automatically profiles and recommends peer mentors to mentees based on person-generated health data (PGHD). This study examined the profile characteristics that mentees value when choosing a peer mentor.

MATERIALS AND METHODS:

Through a mixed-methods user study, in which cancer patients and caregivers evaluated peer mentor recommendations, we examined the relative importance of four possible profile elements: health interests, language style, demographics, and sample posts. Playing the role of mentees, the study participants ranked mentors, then rated both the likelihood that they would hypothetically contact each mentor and the helpfulness of each profile element in helping the make that decision. We analyzed the participants' ratings with linear regression and qualitatively analyzed participants' feedback for emerging themes about choosing mentors and improving profile design.

RESULTS:

Of the four profile elements, only sample posts were a significant predictor for the likelihood of a mentee contacting a mentor. Communication cues embedded in posts were critical for helping the participants choose a compatible mentor. Qualitative themes offer insight into the interpersonal characteristics that mentees sought in peer mentors, including being knowledgeable, sociable, and articulate. Additionally, the participants emphasized the need for streamlined profiles that minimize the time required to choose a mentor.

CONCLUSION:

Peer-matching systems in online health communities offer a promising approach for leveraging PGHD to connect patients. Our findings point to interpersonal communication cues embedded in PGHD that could prove critical for building mentoring relationships among the growing membership of online health communities.

KEYWORDS:

data display; human-computer interaction; online health communities; peer mentoring; peer support; user interfaces

PMID:
26911825
PMCID:
PMC4901377
DOI:
10.1093/jamia/ocv175
[Indexed for MEDLINE]
Free PMC Article

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