Supporting and Incentivizing Peer Leaders for an Internet-Based Private Peer Community for Youths With Type 1 Diabetes: Social Network and Directed Content Analysis.

Facebook adolescents chronic disease communities internet-based communities peer support type 1 diabetes young adults

Journal

Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882

Informations de publication

Date de publication:
12 Dec 2023
Historique:
received: 20 04 2023
accepted: 27 10 2023
revised: 04 10 2023
medline: 12 12 2023
pubmed: 12 12 2023
entrez: 12 12 2023
Statut: epublish

Résumé

Youths with type 1 diabetes (T1D) frequently experience stigma. Internet-based peer communities can mitigate this through social support but require leaders to catalyze exchange. Whether nurturing potential leaders translates into a central role has not been well studied. Another issue understudied in such communities is lurking, the viewing of exchanges without commenting or posting. We aimed to assess the centrality of the peer leaders we selected, trained, and incentivized within the Canadian Virtual Peer Network (VPN)-T1D. This is a private Facebook (Meta Platforms, Inc) group that we created for persons aged 14 to 24 years with T1D. We specifically sought to (1) compare a quantitative estimate of network centrality between peer leaders and regular members, (2) assess the proportions of network exchanges that were social support oriented, and (3) assess proportions of high engagement (posts, comments, reactions, and votes) and low engagement (lurking) exchanges. We recruited peer leaders and members with T1D from prior study cohorts and clinics. We trained 10 leaders, provided them with a monthly stipend, and encouraged them to post on the private Facebook group we launched on June 21, 2017. We extracted all communications (posts, messages, reactions, polls, votes, and views) that occurred until March 20, 2020. We calculated each member's centrality (80% of higher engagement communications comprising posts, comments, and reactions plus 20% of members with whom they connected). We divided each member's centrality by the highest centrality to compute the relative centrality, and compared the mean values between leaders and members (linear regression). We calculated the proportions of communications that were posts, comments, reactions, and views without reaction. We performed content analysis with a social support framework (informational, emotional, esteem-related, network, and tangible support), applying a maximum of 3 codes per communication. VPN-T1D gained 212 regular members and 10 peer leaders over 33 months; of these 222 members, 26 (11.7%) exited. Peer leaders had 10-fold higher relative centrality than regular members (mean 0.53, SD 0.26 vs mean 0.04, SD 0.05; 0.49 difference; 95% CI 0.44-0.53). Overall, 91.4% (203/222) of the members connected at least once through posts, comments, or reactions. Among the 75,051 communications, there were 5109 (6.81%) posts, comments, and polls, 6233 (8.31%) reactions, and 63,709 (84.9%) views (lurking). Moreover, 54.9% (3430/6253) of codes applied were social support related, 66.4% (2277/3430) of which were informational (eg, insurance and travel preparation), and 20.4% (699/3430) of which were esteem related (eg, relieving blame). Designating, training, and incentivizing peer leaders may stimulate content exchange and creation. Social support was a key VPN-T1D deliverable. Although lurking accounted for a high proportion of the overall activity, even those demonstrating this type of passive participation likely derived benefits, given that the network exit rate was low. RR2-10.2196/18714.

Sections du résumé

BACKGROUND BACKGROUND
Youths with type 1 diabetes (T1D) frequently experience stigma. Internet-based peer communities can mitigate this through social support but require leaders to catalyze exchange. Whether nurturing potential leaders translates into a central role has not been well studied. Another issue understudied in such communities is lurking, the viewing of exchanges without commenting or posting.
OBJECTIVE OBJECTIVE
We aimed to assess the centrality of the peer leaders we selected, trained, and incentivized within the Canadian Virtual Peer Network (VPN)-T1D. This is a private Facebook (Meta Platforms, Inc) group that we created for persons aged 14 to 24 years with T1D. We specifically sought to (1) compare a quantitative estimate of network centrality between peer leaders and regular members, (2) assess the proportions of network exchanges that were social support oriented, and (3) assess proportions of high engagement (posts, comments, reactions, and votes) and low engagement (lurking) exchanges.
METHODS METHODS
We recruited peer leaders and members with T1D from prior study cohorts and clinics. We trained 10 leaders, provided them with a monthly stipend, and encouraged them to post on the private Facebook group we launched on June 21, 2017. We extracted all communications (posts, messages, reactions, polls, votes, and views) that occurred until March 20, 2020. We calculated each member's centrality (80% of higher engagement communications comprising posts, comments, and reactions plus 20% of members with whom they connected). We divided each member's centrality by the highest centrality to compute the relative centrality, and compared the mean values between leaders and members (linear regression). We calculated the proportions of communications that were posts, comments, reactions, and views without reaction. We performed content analysis with a social support framework (informational, emotional, esteem-related, network, and tangible support), applying a maximum of 3 codes per communication.
RESULTS RESULTS
VPN-T1D gained 212 regular members and 10 peer leaders over 33 months; of these 222 members, 26 (11.7%) exited. Peer leaders had 10-fold higher relative centrality than regular members (mean 0.53, SD 0.26 vs mean 0.04, SD 0.05; 0.49 difference; 95% CI 0.44-0.53). Overall, 91.4% (203/222) of the members connected at least once through posts, comments, or reactions. Among the 75,051 communications, there were 5109 (6.81%) posts, comments, and polls, 6233 (8.31%) reactions, and 63,709 (84.9%) views (lurking). Moreover, 54.9% (3430/6253) of codes applied were social support related, 66.4% (2277/3430) of which were informational (eg, insurance and travel preparation), and 20.4% (699/3430) of which were esteem related (eg, relieving blame).
CONCLUSIONS CONCLUSIONS
Designating, training, and incentivizing peer leaders may stimulate content exchange and creation. Social support was a key VPN-T1D deliverable. Although lurking accounted for a high proportion of the overall activity, even those demonstrating this type of passive participation likely derived benefits, given that the network exit rate was low.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) UNASSIGNED
RR2-10.2196/18714.

Identifiants

pubmed: 38085568
pii: v25i1e48267
doi: 10.2196/48267
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e48267

Informations de copyright

©Nancy Wu, Susan Joanne Wang, Anne-Sophie Brazeau, Deborah Chan, Joseph Mussa, Meranda Nakhla, Mariam Elkeraby, Maryna Ell, Melinda Prevost, Laurie Lepine, Constadina Panagiotopoulos, Geetha Mukerji, Sonia Butalia, Mélanie Henderson, Deborah Da Costa, Elham Rahme, Kaberi Dasgupta. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 12.12.2023.

Auteurs

Nancy Wu (N)

Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.

Susan Joanne Wang (SJ)

Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.

Anne-Sophie Brazeau (AS)

School of Human Nutrition, Faculty of Agricultural and Environmental Sciences, McGill University, Ste Anne de Bellevue, QC, Canada.

Deborah Chan (D)

Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.

Joseph Mussa (J)

Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.

Meranda Nakhla (M)

Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.

Mariam Elkeraby (M)

Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
Patient partner, Montreal, QC, Canada.

Maryna Ell (M)

Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
Patient partner, Montreal, QC, Canada.

Melinda Prevost (M)

Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
Patient partner, Montreal, QC, Canada.

Laurie Lepine (L)

Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
Patient partner, Montreal, QC, Canada.

Constadina Panagiotopoulos (C)

Endocrinology & Diabetes Unit, British Columbia Children's Hospital and Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada.
Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada.

Geetha Mukerji (G)

Institute of Health Policy, Management and Evaluation, Health Sciences Building, University of Toronto, Toronto, ON, Canada.

Sonia Butalia (S)

Department of Medicine, Cumming School of Medicine, Health Sciences Centre, Foothills Campus, University of Calgary, Calgary, AB, Canada.
Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.

Mélanie Henderson (M)

Department of Pediatrics, Université de Montréal, Montreal, QC, Canada.
Centre de Recherche CHU Sainte-Justine, Montreal, QC, Canada.
School of Public Health, Department of Social and Preventive Medicine, Université de Montréal, Montreal, QC, Canada.

Deborah Da Costa (D)

Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
Department of Medicine, McGill University Health Centre, Montreal, QC, Canada.

Elham Rahme (E)

Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
Department of Medicine, McGill University Health Centre, Montreal, QC, Canada.

Kaberi Dasgupta (K)

Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
Department of Medicine, McGill University Health Centre, Montreal, QC, Canada.

Classifications MeSH