Evidence map›Paper›PMID 34673527›Full record

ArticleJMIR diabetes2021

Augmenting Traditional Support Groups for Adolescents With Type 1 Diabetes Using Instagram: Mixed Methods Feasibility Study.

Faisal S Malik, Cara Lind, Sarah Duncan, Connor Mitrovich, Michael Pascual, Joyce P Yi-Frazier

Abstract read
In one paragraph

Article in JMIR diabetes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

6 authors.

Faisal S MalikDepartment of Pediatrics, University of Washington, Seattle, WA, United States.ORCID https://orcid.org/0000-0002-2543-4214
Cara LindSeattle Children's Research Institute, Seattle, WA, United States.ORCID https://orcid.org/0000-0001-8865-9704
Sarah DuncanSeattle Children's Research Institute, Seattle, WA, United States.ORCID https://orcid.org/0000-0001-9323-3214
Connor MitrovichSeattle Children's Research Institute, Seattle, WA, United States.ORCID https://orcid.org/0000-0002-4619-4811
Michael PascualSeattle Children's Research Institute, Seattle, WA, United States.ORCID https://orcid.org/0000-0003-3939-8231
Joyce P Yi-FrazierSeattle Children's Research Institute, Seattle, WA, United States.ORCID https://orcid.org/0000-0002-7057-7249

Funding

Institute of Translational Health SciencesUL1TR000423 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$49.4M
Leveraging Social Media to Improve Health Outcomes in Adolescents with DiabetesK23DK119465 · NIDDK · SEATTLE CHILDREN'S HOSPITAL · PI MALIK, FAISAL SALEEM · 2018 to 2022
$943k
NCATS NIH HHS UL1 TR000423NIDDK NIH HHS K23 DK119465
6 · The paper itself

Abstract

backgroundIn-person support groups have been shown to benefit adolescents with type 1 diabetes (T1D) by helping to decrease perceived diabetes burden and improving knowledge related to chronic disease management. However, barriers exist to participation in traditional support groups, including the timing and location of meetings and resources needed to attend. Adolescents are increasingly utilizing online support groups, which may provide solutions to some of the challenges faced when implementing in-person support groups.

objectiveThe purpose of this study was to assess the feasibility and acceptability of a hybrid support group model where traditional in-person support groups were augmented with Instagram participation between monthly support group sessions for adolescents with T1D.

methodsParticipants (13-18 years old with T1D for ≥6 months) were asked to post photos each week for 3 months based on predetermined topics related to diabetes management. At the end of each month, participants attended an in-person support group to discuss their photos using the Photovoice method. Feasibility was assessed through enrollment and retention, number of Instagram posts, poststudy questionnaire, and a template analysis of the focus groups.

resultsOf 24 eligible participants, 16 (67%) enrolled in the study, with 3 dropping out prior to support group participation. The number of photos posted over 3 months ranged from 14 to 41. Among the 11 participants who completed a follow-up questionnaire, the majority of participants (6/11, 55%) reported that they very much enjoyed participating in the hybrid support group, and more than three-quarters (9/11, 82%) of participants reported that they "related to the photos posted." Over half of participants (8/11, 73%) reported "learning something new from the photos posted," which arose from sharing knowledge and experiences related to navigating the common challenges of diabetes management. Additionally, the use of Instagram posts helped facilitate peer discussions during the in-person support groups.

conclusionsThe novel combination of using Instagram to augment traditional in-person support groups was feasible and acceptable to adolescents with T1D. The overall satisfaction with the hybrid support group model, combined with the observed engagement with peers between support group sessions over social media, suggests that a hybrid support group model may have the potential to provide more pronounced benefits to adolescents than in-person meetings alone. Future research should investigate the use of social media as part of the support group model and examine the potential improvement of self-esteem, benefit-finding, and social support using validated tools in adolescents with diabetes.

Indexed as

adolescentdiabetes mellitus, type 1self-help groupssocial media

Identifiers

PMID34673527
PMCPMC8569531

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.