Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
6500 participants
INTERVENTIONAL
2016-06-30
2019-08-16
Brief Summary
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Detailed Description
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We will develop and pilot-test interventions to encourage effective communication processes identified in our empirical research. Participants from the American Cancer Society's Cancer Support Network will access this support group using either the default interface that orders content by disease diagnosis and date or with a new interface that sometimes highlights communication content and people who match their interests and needs. We will test whether mood, satisfaction with interactions and engagement in the group increase following interventions that (a) increase participants' receipt of individualized support from others; (b) provide participants with opportunities to offer support to others; (c) facilitate participants' expression of emotions; and (d) help participants form relationships with compatible peers. In a series of small, randomized experiments, we will examine how these interventions affect participants' communication behaviors as well as short-term engagement and satisfaction with their online interactions.
Conditions
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Study Design
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RANDOMIZED
SINGLE_GROUP
SUPPORTIVE_CARE
DOUBLE
Study Groups
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Order by time and topic
Volunteers from the American Cancer Society's Cancer Survivors' Network (CSN) will see some of their messages delivered using CSN's default ordering, which shows messages within a conversational thread ordered by time stamp. Conversational threads are nested within a broad topic-based forum, like breast cancer or colorectal cancer survivors.
Note that this is a within-participant trial, so that all participants participate in all arms of the trial. Messages, not people, are randomly assigned to condition.
Order by time and topic
Order by information relevance
In this condition some messages will be highlighted if they match the type of content the user has previously shown interest in, by previously contributing or reading semantically similar material.
Order by information relevance
Order by social relationship
In this condition some messages will be highlighted because they come from people the user has previously shown interest in, by previously reading their posts or communicating with them.
Order by social relationship
Order by help giving
In this condition some messages will be highlighted because they seek help and therefore provide an opportunity for participants to provide social support to others.
Order by help giving
Order by self-disclosure
In this condition some messages will be highlighted because in them the writer is self-disclosing, and they provide provide an opportunity for participants to self-disclose in return.
Order by self-disclosure
Interventions
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Order by time and topic
Order by information relevance
Order by social relationship
Order by help giving
Order by self-disclosure
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
ALL
Yes
Sponsors
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University of Pittsburgh
OTHER
National Institute of Mental Health (NIMH)
NIH
American Cancer Society, Inc.
OTHER
Carnegie Mellon University
OTHER
Responsible Party
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Principal Investigators
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Robert E Kraut, PhD
Role: PRINCIPAL_INVESTIGATOR
Carnegie Mellon University
Locations
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Carnegie Mellon University
Pittsburgh, Pennsylvania, United States
Countries
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References
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Wang YC, Kraut RE, Levine JM. Eliciting and receiving online support: using computer-aided content analysis to examine the dynamics of online social support. J Med Internet Res. 2015 Apr 20;17(4):e99. doi: 10.2196/jmir.3558.
Vlahovic, T., Wang, Y.-C., Kraut, R. E., & Levine, J. M. (2014). Support matching and satisfaction in an online breast cancer support community. CHI'14: Proceedings of the ACM Conference on Human Factors in Computing Systems (pp. 1625-1634 ). NY: ACM.
Wang, Y., Kraut, R., & Levine, J. (2012). To stay or leave? the relationship of emotional and informational support to commitment in online health support groups CSCW '12 Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work (pp. 833-842). NY: ACM.
Yang D, Kraut R, Smith T, Mayfield E, Jurafsky D. Seekers, Providers, Welcomers, and Storytellers: Modeling Social Roles in Online Health Communities. Proc SIGCHI Conf Hum Factor Comput Syst. 2019 May;2019:344. doi: 10.1145/3290605.3300574.
Yang D, Yao Z, Seering J, Kraut R. The Channel Matters: Self-disclosure, Reciprocity and Social Support in Online Cancer Support Groups. Proc SIGCHI Conf Hum Factor Comput Syst. 2019 May;2019:31. doi: 10.1145/3290605.3300261.
Yang D, Yao Z, Kraut R. Self-disclosure and Channel Difference in Online Health Support Groups. Proc Int AAAI Conf Weblogs Soc Media. 2017 May;2017:704-707.
Yang D, Kraut R, Levine JM. Commitment of Newcomers and Old-timers to Online Health Support Communities. Proc SIGCHI Conf Hum Factor Comput Syst. 2017 May;2017:6363-6375. doi: 10.1145/3025453.3026008.
Related Links
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Robert Kraut's recent articles and book chapters
Other Identifiers
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CarnegieMU
Identifier Type: -
Identifier Source: org_study_id
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