- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02396472
Mental Health Pathways in Internet Support Groups
Internet Support Groups: Identifying and Improving Pathways for Mental Health
Study Overview
Status
Conditions
Detailed Description
Internet support groups (ISGs) are online communities where people come together to exchange information, emotional support and other resources. They are an important resource for patients grappling with serious medical conditions. Although participation in health-related ISGs has been associated with significant reductions in participant-reported depression, anxiety and other indicators of psychological distress, many ISG members leave too soon to benefit. In a parallel study, we are using state-of-the art machine learning and automated language analysis techniques to assess the types of interactions that keep people participating in these groups and that lead to improved psychosocial well-being and health quality of life and how these interactions develop. The clinical trial described here uses these technologies and insights from our empirical research to build, deploy, and evaluate interventions that improve the interactions in Internet health support groups.
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.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Pennsylvania
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Pittsburgh, Pennsylvania, United States, 15213
- Carnegie Mellon University
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Is an existing or new registrant to the American Cancer Society's Cancer Support Network.
Exclusion Criteria:
-
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Supportive Care
- Allocation: Randomized
- Interventional Model: Single Group Assignment
- Masking: Double
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
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Placebo Comparator: 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. |
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Active Comparator: 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.
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Active Comparator: 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.
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Active Comparator: 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.
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Active Comparator: 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.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
---|---|
Read message (Does the user read the message they were exposed to?)
Time Frame: 1 day
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1 day
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Interaction satisfaction (Self-report measure of satisfaction 3-item survey)
Time Frame: 1 day
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Self-report measure of satisfaction with a random sample of messages.
This is a 3-item survey that will be delivered as a pop-up questionnaire following a random sample of the messages users were exposed to.
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1 day
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Reply to message (How long does it take the users to reply to a message they were exposed to, if they reply at all.)
Time Frame: 2 days
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How long does it take the users to reply to a message they were exposed to, if they reply at all.
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2 days
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Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Robert E Kraut, PhD, Carnegie Mellon University
Publications and helpful links
General Publications
- 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.
Helpful Links
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- CarnegieMU
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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