Published on in Vol 24, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36739, first published .
Toward a Better Understanding of Quality Social Connections. Comment on “Quality Social Connection as an Active Ingredient in Digital Interventions for Young People With Depression and Anxiety: Systematic Scoping Review and Meta-analysis”

Toward a Better Understanding of Quality Social Connections. Comment on “Quality Social Connection as an Active Ingredient in Digital Interventions for Young People With Depression and Anxiety: Systematic Scoping Review and Meta-analysis”

Toward a Better Understanding of Quality Social Connections. Comment on “Quality Social Connection as an Active Ingredient in Digital Interventions for Young People With Depression and Anxiety: Systematic Scoping Review and Meta-analysis”

Authors of this article:

Huachu Deng1 Author Orcid Image ;   Xingan Qin1 Author Orcid Image

Letter to the Editor

Department of Gastrointestinal and Gland Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, China

Corresponding Author:

Xingan Qin, MD

Department of Gastrointestinal and Gland Surgery

First Affiliated Hospital of Guangxi Medical University

6 Shuangyong Road

Qingxiu District

Nanning, 530000

China

Phone: 86 15277114948

Email: drqinxingan@126.com



We read the paper by Dewa et al [1] with interest. The authors performed a meta-analysis to conceptualize, appraise, and synthesize evidence on quality social connection (QSC) within digital interventions (D-QSC) and the impact on depression and anxiety outcomes for young people aged 14-24 years. They demonstrated that “D-QSC is an important and underconsidered component for youth depression and anxiety outcomes. Researchers and developers should consider targeting improved QSC between clinicians and young people within digital interventions for depression. Future research should build on our framework to further examine relationships among individual attributes of QSC, various digital interventions, and different populations.” After carefully reading, I wish to put forth the following suggestions.

Two studies [2,3] in Table 2 (“Data extraction and quality assessment of included studies”) were created by the same author team (Radovic et al) with similar characteristics (year, country, study design, setting and participants, digital intervention, and outcomes and measures). This duplicate inclusion of data would affect the credibility of the final results of the meta-analysis. I recommend that the authors exclude duplicate works in the meta-analysis and that a correction and reliable checking of the data insertion is required.

Due to these mistakes, I suggest that the authors further refine the inclusion criteria for the included studies to avoid duplication of inclusion.

Acknowledgments

We are supported by the Department of Gastrointestinal and Gland Surgery at the First Affiliated Hospital of Guangxi Medical University.

Conflicts of Interest

None declared.

  1. Dewa LH, Lawrance E, Roberts L, Brooks-Hall E, Ashrafian H, Fontana G, et al. Quality Social Connection as an Active Ingredient in Digital Interventions for Young People With Depression and Anxiety: Systematic Scoping Review and Meta-analysis. J Med Internet Res 2021 Dec 17;23(12):e26584 [FREE Full text] [CrossRef] [Medline]
  2. Radovic A, DeMand AL, Gmelin T, Stein BD, Miller E. SOVA: Design of a stakeholder informed social media website for depressed adolescents and their parents. J Technol Hum Serv 2018;35(3):169-182 [FREE Full text] [CrossRef] [Medline]
  3. Radovic A, Gmelin T, Stein BD, Miller E. Depressed adolescents' positive and negative use of social media. J Adolesc 2017 Feb;55:5-15 [FREE Full text] [CrossRef] [Medline]


D-QSC: quality social connection within digital interventions
QSC: quality social connection


Edited by T Leung; This is a non–peer-reviewed article. submitted 23.01.22; accepted 24.01.22; published 11.03.22

Copyright

©Huachu Deng, Xingan Qin. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 11.03.2022.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.