Patients’ Use of Social Media for Diabetes Self-Care: Systematic Review

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Abstract

Background

Patient engagement with diabetes self-care is critical to reducing morbidity and mortality. Social media is one form of digital health that is available for diabetes self-care, although its use for peer-to-peer communication has not been systematically described, and its potential to support patient self-care is unclear.

Objective

The primary aim of this systematic review was to describe the use of social media among patients (peer-to-peer) to manage diabetes and cardiovascular disease (CVD). The secondary aim was to assess patients’ clinical outcomes, behavioral outcomes, quality of life, and self-efficacy resulting from peer-to-peer social media use.

Methods

We conducted a literature search in the following databases: PubMed, EMBASE, Web of Science, CINAHL, and PsycINFO (January 2008 through April 2019). The inclusion criteria were quantitative studies that included peer-to-peer use of social media for self-care of diabetes mellitus (with all subtypes) and CVD, including stroke.

Results

After an initial yield of 3066 citations, we selected 91 articles for a full-text review and identified 7 papers that met our inclusion criteria. Of these, 4 studies focused on type 1 diabetes, 1 study included both type 1 and 2 diabetes, and 2 studies included multiple chronic conditions (eg, CVD, diabetes, depression, etc). Our search did not yield any individual studies on CVD alone. Among the selected papers, 2 studies used commercial platforms (Facebook and I Seek You), 3 studies used discussion forums developed specifically for each study, and 2 surveyed patients through different platforms or blogs. There was significant heterogeneity in the study designs, methodologies, and outcomes applied, but all studies showed favorable results on either primary or secondary outcomes. The quality of studies was highly variable.

Conclusions

The future landscape of social media use for patient self-care is promising. However, current use is nascent. Our extensive search yielded only 7 studies, all of which included diabetes, indicating the most interest and demand for peer-to-peer interaction on diabetes self-care. Future research is needed to establish efficacy and safety in recommending social media use among peers for diabetes self-care and other conditions.

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T2DM Self-Management via Smartphone Applications: A Systematic Review and Meta-Analysis

Mingxuan Cui, Xueyan Wu, Jiangfeng Mao … (2016)

Background Mobile health interventions (mHealth) based on smartphone applications (apps) are promising tools to help improve diabetes care and self-management; however, more evidence on the efficacy of mHealth in diabetes care is needed. The objective of this study was to conduct a systematic review and meta-analysis of randomized controlled trials (RCTs) assessing the effect of mHealth apps on changes in hemoglobin A1c (HbA1c), blood glucose, blood pressure, serum lipids, and body weight in type 2 diabetes mellitus (T2DM) patients. Methods Two independent reviewers searched three online databases (PubMed, the Cochrane Library, and EMBASE) to identify relevant studies published between January 2005 and June 2016. Of the 2,596 articles retrieved, 13 RCTs were included. We used random effects model to estimate the pooled results. Results Thirteen studies were selected for the systematic review, six of which with data available containing 1,022 patients were included for the meta-analysis. There was a moderate effect on glycemic control after the mHealth app-based interventions. The overall effect on HbA1c shown as mean difference (MD) was -0.40% (-4.37 mmol/mol) (95% confidence interval [CI] -0.69 to -0.11% [-7.54 to -1.20 mmol/mol]; p = 0.007) and standardized mean differences (SMD) was -0.40% (-4.37 mmol/mol) (95% confidence interval [CI] -0.69 to -0.10% [-7.54 to -1.09 mmol/mol]; p = 0.008). A subgroup analysis showed a similar effect with -0.33% (-3.61 mmol/mol) (95% CI -0.59 to -0.06% [-6.45 to -0.66 mmol/mol]; p = 0.02) in MD and -0.38% (-4.15 mmol/mol) (95% CI -0.71 to -0.05% [-7.76 to -0.55 mmol/mol]; p = 0.02) in SMD in studies where patients’ baseline HbA1c levels were less than 8.0%. No effects of mHealth app interventions were found on blood pressure, serum lipids, or weight. Assessment of overall study quality and publication bias demonstrated a low risk of bias among the six studies. Conclusions Smartphone apps offered moderate benefits for T2DM self-management. However, more research with valid study designs and longer follow-up is needed to evaluate the impact of mHealth apps for diabetes care and self-management.

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Internet interventions to support lifestyle modification for diabetes management: a systematic review of the evidence.

Alexander P Cotter, Nefertiti H. Durant, April A Agne … (2016)

The Internet presents a widely accessible, 24-h means to promote chronic disease management. The objective of this review is to identify studies that used Internet based interventions to promote lifestyle modification among adults with type 2 diabetes. We searched PubMed using the terms: [internet, computer, phone, smartphone, mhealth, mobile health, web based, telehealth, social media, text messages] combined with [diabetes management and diabetes control] through January 2013. Studies were included if they described an Internet intervention, targeted adults with type 2 diabetes, focused on lifestyle modification, and included an evaluation component with behavioral outcomes. Of the 2803 papers identified, nine met inclusion criteria. Two studies demonstrated improvements in diet and/or physical activity and two studies demonstrated improvements in glycemic control comparing web-based intervention with control. Successful studies were theory-based, included interactive components with tracking and personalized feedback, and provided opportunities for peer support. Website utilization declined over time in all studies that reported on it. Few studies focused on high risk, underserved populations. Web-based strategies provide a viable option for facilitating diabetes self-management. Future research is needed on the use of web-based interventions in underserved communities and studies examining website utilization patterns and engagement over time. © 2014 Elsevier Inc. All rights reserved.

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Effective uses of social media in public health and medicine: a systematic review of systematic reviews

Dean Giustini, Syed Ali, Matthew Fraser … (2018)

Introduction Research examining the effective uses of social media (SM) in public health and medicine, especially in the form of systematic reviews (SRs), has grown considerably in the past decade. To our knowledge, no comprehensive synthesis of this literature has been conducted to date. Aims and methods To conduct a systematic review of systematic reviews of the benefits and harms (“effects”) of SM tools and platforms (such as Twitter and Facebook) in public health and medicine. To perform a synthesis of this literature and create a ‘living systematic review’. Results Forty-two (42) high-quality SRs were examined. Overall, evidence of SM’s effectiveness in public health and medicine was judged to be minimal. However, qualitative benefits for patients are seen in improved psychosocial support and psychological functioning. Health professionals benefited from better peer-to-peer communication and lifelong learning. Harms on all groups include the impact of SM on mental health, privacy, confidentiality and information reliability. Conclusions A range of negatives and positives of SM in public health and medicine are seen in the SR literature but definitive conclusions cannot be made at this time. Clearly better research designs are needed to measure the effectiveness of social technologies. For ongoing updates, see the wiki “Effective uses of social media in health: a living systematic review of systematic reviews”. http://hlwiki.slais.ubc.ca/index.php/Effective_uses_of_social_media_in_healthcare:_a_living_systematic_review_of_reviews

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Author and article information

Contributors

Linda G Park:

ORCID: https://orcid.org/0000-0002-9894-4039

Department of Community Health SystemsSchool of NursingUniversity of California, San FranciscoSan Francisco, CAUnited States1 415 502 6616linda.park@ucsf.edu

Journal

Journal ID (nlm-ta): J Med Internet Res

Journal ID (iso-abbrev): J. Med. Internet Res

Journal ID (publisher-id): JMIR

Title: Journal of Medical Internet Research

Publisher: JMIR Publications (Toronto, Canada )

ISSN (Print): 1439-4456

ISSN (Electronic): 1438-8871

Publication date Collection: April 2020

Publication date (Electronic): 24 April 2020

Volume: 22

Issue: 4

Electronic Location Identifier: e14209

Affiliations

[1 ] Department of Community Health Systems School of Nursing University of California, San Francisco San Francisco, CA United States

[2 ] Division of Geriatrics School of Medicine University of California, San Francisco San Francisco, CA United States

[3 ] Department of Family Health Care Nursing School of Nursing University of California, San Francisco San Francisco, CA United States

[4 ] Office of Nursing Research and Innovation Cleveland Clinic Cleveland, OH United States

Author notes

Corresponding Author: Linda G Park linda.park@ 123456ucsf.edu

Author information

Abdelaziz Elnaggar https://orcid.org/0000-0003-2591-5955

Van Ta Park https://orcid.org/0000-0001-5020-0359

Sei J Lee https://orcid.org/0000-0001-7864-5341

Melinda Bender https://orcid.org/0000-0002-1018-3387

Lee Anne Siegmund https://orcid.org/0000-0002-9606-306X

Linda G Park https://orcid.org/0000-0002-9894-4039

Article

Publisher ID: v22i4e14209

DOI: 10.2196/14209

PMC ID: 7210496

PubMed ID: 32329745

SO-VID: 39334c86-b150-4597-b98a-afce2c011159

Copyright © ©Abdelaziz Elnaggar, Van Ta Park, Sei J Lee, Melinda Bender, Lee Anne Siegmund, Linda G Park. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 24.04.2020.

License:

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 http://www.jmir.org/, as well as this copyright and license information must be included.

History

Date received : 29 March 2019

Date revision requested : 13 August 2019

Date revision received : 8 January 2020

Date accepted : 26 January 2020

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