Family-based intervention for patients with type 2 diabetes via WeChat in China: protocol for a randomized controlled trial

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Abstract

Background

China has the largest number of cases of diabetes with a high rate of uncontrolled blood sugar. Many studies show that family members’ involvement is related to better glycemic control. However, there is a significant problem with low participation of family members. The widespread use of WeChat provides an opportunity for family members to support their diabetic loved ones in their type 2 diabetes self-management practices. The main aim of this study is to examine the effectiveness of a family-based intervention via WeChat.

Methods

A parallel, two-group, randomized controlled trial will be conducted in the central urban area of Jiading district in Shanghai, China. A total of 222 type 2 diabetics will be randomly divided into an intervention group or a control group using a 1:1 ratio. Patients in the intervention group will receive the usual care, and their family will get education in diabetes control and the importance of family support by subscribing to the WeChat public account. Both the patients and the family members will be followed up at 12 months after the intervention commences. Data collection is scheduled at baseline, 6-months, and 12-months.

Discussion

Family involvement based on WeChat may generate ongoing support for type 2 diabetic patients and improve these patients’ health outcomes. A successful outcome of this study may also provide inspiration for other efforts to provide health education via WeChat.

Trial registration

ChiCTR1900020736. Registered 15 January 2019.

Electronic supplementary material

The online version of this article (10.1186/s12889-019-6702-8) contains supplementary material, which is available to authorized users.

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Most cited references 29

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A Meta-Analysis of Research on Protection Motivation Theory

DONNA FLOYD, STEVEN PRENTICE-DUNN, RONALD ROGERS (2000)

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Diabetes in China: Epidemiology and Genetic Risk Factors and Their Clinical Utility in Personalized Medication.

Cheng Hu, Weiping Jia (2018)

The incidence of type 2 diabetes (T2D) has rapidly increased over recent decades, and T2D has become a leading public health challenge in China. Compared with European descents, Chinese patients with T2D are diagnosed at a relatively young age and low BMI. A better understanding of the factors contributing to the diabetes epidemic is crucial for determining future prevention and intervention programs. In addition to environmental factors, genetic factors contribute substantially to the development of T2D. To date, more than 100 susceptibility loci for T2D have been identified. Individually, most T2D genetic variants have a small effect size (10-20% increased risk for T2D per risk allele); however, a genetic risk score that combines multiple T2D loci could be used to predict the risk of T2D and to identify individuals who are at a high risk. Furthermore, individualized antidiabetes treatment should be a top priority to prevent complications and mortality. In this article, we review the epidemiological trends and recent progress in the understanding of T2D genetic etiology and further discuss personalized medicine involved in the treatment of T2D.

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Diabetes Attitudes, Wishes and Needs second study (DAWN2™): cross-national benchmarking indicators for family members living with people with diabetes.

K. Kovacs Burns, A. Nicolucci, R. I. G. Holt … (2013)

The second Diabetes Attitudes, Wishes and Needs (DAWN2) study examined the experiences of family members of people with diabetes for benchmarking and identifying unmet needs or areas for improvement to assist family members and those with diabetes to effectively self-manage. In total, 2057 family members of people with diabetes participated in an online, telephone or in-person survey designed to assess the impact of diabetes on family life, family support for people with diabetes and educational and community support. Supporting a relative with diabetes was perceived as a burden by 35.3% (range across countries 10.6-61.7%) of respondents. Over half of respondents [51.4% (22.5-76.0%)] rated their quality of life as 'good' or 'very good'. However, distress about the person with diabetes was high, with 61.3% (31.5-86.4%) worried about hypoglycaemia. The impact of diabetes on aspects of life was felt by 51.8% (46.9-58.6%). The greatest negative effect was on emotional well-being [44.6% (31.8-63.0%)], although depression was less common [11.6% (4.2-20.0%)]. Many respondents did not know how to help the person with diabetes [37.1% (17.5-53.0%)] and wanted to be more involved in their care [39.4% (15.5-61.7%)]. Participation in diabetes educational programmes was low [23.1% (9.4-43.3%)], although most of those who participated found them helpful [72.1% (42.1-90.3%)]. Diabetes has a negative impact on family members of people with diabetes. DAWN2 provides benchmarking indicators of family members' psychosocial needs that will help identify the support required for, and from, them to improve the lives of people with diabetes and their families. © 2013 The Authors. Diabetic Medicine © 2013 Diabetes UK.

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Author and article information

Contributors

Linqi Mao: maolinqi1995@163.com

Jun Lu: lujun@shmu.edu.cn

Qi Zhang: harryqzhang@gmail.com

Yuxi Zhao: 503368717@qq.com

Gang Chen: gchen@shmu.edu.cn

Mei Sun: sunmei@fudan.edu.cn

Fengshui Chang: changfsh@fudan.edu.cn

Xiaohong Li: 86-21-33563952 , lixh@fudan.edu.cn

Journal

Journal ID (nlm-ta): BMC Public Health

Journal ID (iso-abbrev): BMC Public Health

Title: BMC Public Health

Publisher: BioMed Central (London )

ISSN (Electronic): 1471-2458

Publication date (Electronic): 5 April 2019

Publication date PMC-release: 5 April 2019

Publication date Collection: 2019

Volume: 19

Electronic Location Identifier: 381

Affiliations

[1 ]ISNI 0000 0001 0125 2443, GRID grid.8547.e, Department of Health Policy and Management, School of Public Health, , Fudan University, ; P.O. Box 177, 130 Dong’an Road, Shanghai, 200032 China

[2 ]ISNI 0000 0001 0125 2443, GRID grid.8547.e, China Research on Disability at Fudan University, ; Shanghai, 200032 People’s Republic of China

[3 ]ISNI 0000 0001 0125 2443, GRID grid.8547.e, Key Laboratory of Health Technology Assessment, National Health and Family Planning Committee (Fudan University), , Fudan University, ; Shanghai, China

[4 ]ISNI 0000 0001 2164 3177, GRID grid.261368.8, School of Community and Environmental Health, , Old Dominion University, ; Norfolk, Virginia, USA

[5 ]ISNI 0000 0001 0125 2443, GRID grid.8547.e, Department of Health Law and Inspection, School of Public Health, , Fudan University, ; Shanghai, China

Article

Publisher ID: 6702

DOI: 10.1186/s12889-019-6702-8

PMC ID: 6451245

PubMed ID: 30953483

SO-VID: b950c861-31bf-4b64-a82e-97de93964b1c

License:

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

History

Date received : 28 January 2019

Date accepted : 26 March 2019

Funding

Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;

Award ID: 71573049

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ScienceOpen disciplines: Public health

Keywords: type 2 diabetes,wechat,family member,randomized controlled trial,china

Data availability:

ScienceOpen disciplines: Public health

Keywords: type 2 diabetes, wechat, family member, randomized controlled trial, china

Family-based intervention for patients with type 2 diabetes via WeChat in China: protocol for a randomized controlled trial

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Abstract

Background

Methods

Discussion

Trial registration

Electronic supplementary material

Related collections

Chinese Journal of School Health

Most cited references 29

A Meta-Analysis of Research on Protection Motivation Theory

Diabetes in China: Epidemiology and Genetic Risk Factors and Their Clinical Utility in Personalized Medication.

Diabetes Attitudes, Wishes and Needs second study (DAWN2™): cross-national benchmarking indicators for family members living with people with diabetes.

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