Evidence map›Paper›PMID 26911825›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2016

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

Andrea L Hartzler, Megan N Taylor, Albert Park, Troy Griffiths, Uba Backonja, David W McDonald, Sam Wahbeh, Cory Brown, Wanda Pratt

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
7.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 51 citations in OpenAlex.

  1. Who is your ideal peer mentor? A qualitative study to identify cancer patient preferences for a digital peer support app.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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  12. Exploring the Design of an Inpatient Peer Support Tool: Views of Adult Patients.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018
    Article
  13. Article
  14. Opportunities and Design Considerations for Peer Support in a Hospital Setting.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2017
    Article
  15. Tracking Health Related Discussions on Reddit for Public Health Applications.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Andrea L HartzlerGroup Health Research Institute, Seattle, USA hartzler.a@ghc.org.
Megan N TaylorHuman Centered Design and Engineering, University of Washington, Seattle, USA.
Albert ParkDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, USA.
Troy GriffithsThe Information School, University of Washington, Seattle, USA.
Uba BackonjaDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, USA.
David W McDonaldHuman Centered Design and Engineering, University of Washington, Seattle, USA.
Sam WahbehThe Information School, University of Washington, Seattle, USA.
Cory BrownThe Information School, University of Washington, Seattle, USA.
Wanda PrattThe Information School, University of Washington, Seattle, USA.
Seattle University · USUniversity of Washington · USUniversity of Washington Medical Center · US

Funding

University of Washington Biomedical Informatics and Data Science Research Training ProgramT15LM007442 · NLM · UNIVERSITY OF WASHINGTON · PI JOHN H. GENNARI, Andrea L. Hartzler · 2002 to 2026
$19.6M
Managing Health Information in Your LifeR01LM009143 · NLM · UNIVERSITY OF WASHINGTON · PI PRATT, WANDA · 2007 to 2009
$1.5M
NLM NIH HHS R01 LM009143NLM NIH HHS T15 LM007442
6 · The paper itself

Abstract

objectiveOnline 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

methodsThrough 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.

resultsOf 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.

conclusionPeer-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.

Indexed as

MentorsPeer GroupSocial SupportAdultFemaleHumansInternetMaleMentoringMiddle AgedSelf-Help Groupsdata displayhuman-computer interactiononline health communitiespeer mentoringpeer supportuser interfaces

Identifiers

PMID26911825
PMCPMC4901377
OpenAlexW2271006548

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.