Evidence map›Paper›PMID 30953483›Full record

ArticleBMC public health2019

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

Linqi Mao, Jun Lu, Qi Zhang, Yuxi Zhao, Gang Chen, Mei Sun, Fengshui Chang, Xiaohong Li

2 registry-linked trialsOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 3% of its field
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.

NCT06607497 naactive not recruitingnot on this mapstarted 2024, after this paper: background citation

Better Risk Perception Via Patient Similarity to Control Hyperglycemia and Sustained by Telemonitoring

TypeinterventionalSponsorSingHealth PolyclinicsRan2024 to 2026Enrolled360ConditionsDiabetes Mellitus, Type 2ArmsIntervention using an AI enabled risk communication tool (PERDICT.AI), Telemonitoring with Primary Tech Enhanced Care (PTEC-DM)
NCT06837428 nacompletednot on this mapstarted 2023, after this paper: background citation

Peer Comparison-based Risk Communication (PRICOM): A Study Protocol to Evaluate the Feasibility of Delivering a Risk Communication Intervention in the Primary Care Setting for Adults With Type 2 Diabetes Mellitus

TypeinterventionalSponsorSingHealth PolyclinicsRan2023 to 2024Enrolled40ConditionsDiabetes Type 2ArmsPeer comparison-based Risk Communication (PRICOM)
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Linqi MaoDepartment of Health Policy and Management, School of Public Health, Fudan University, P.O. Box 177, 130 Dong'an Road, Shanghai, 200032, China.
Jun LuDepartment of Health Policy and Management, School of Public Health, Fudan University, P.O. Box 177, 130 Dong'an Road, Shanghai, 200032, China.
Qi ZhangSchool of Community and Environmental Health, Old Dominion University, Norfolk, Virginia, USA.
Yuxi ZhaoDepartment of Health Policy and Management, School of Public Health, Fudan University, P.O. Box 177, 130 Dong'an Road, Shanghai, 200032, China.
Gang ChenChina Research on Disability at Fudan University, Shanghai, 200032, People's Republic of China.
Mei SunDepartment of Health Policy and Management, School of Public Health, Fudan University, P.O. Box 177, 130 Dong'an Road, Shanghai, 200032, China.
Fengshui ChangDepartment of Health Policy and Management, School of Public Health, Fudan University, P.O. Box 177, 130 Dong'an Road, Shanghai, 200032, China.
Xiaohong LiDepartment of Health Policy and Management, School of Public Health, Fudan University, P.O. Box 177, 130 Dong'an Road, Shanghai, 200032, China. lixh@fudan.edu.cn.
Fudan University · CNOld Dominion University · USShanghai Public Health Clinical Center · CN

Funding

National Natural Science Foundation of China 71573049
6 · The paper itself

Abstract

backgroundChina 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.

methodsA 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 registrationChiCTR1900020736 . Registered 15 January 2019.

Indexed as

FamilyHealth EducationSelf CareSocial SupportAdolescentAdultAgedBlood GlucoseChinaDiabetes Mellitus, Type 2FemaleHealth PromotionHumansMaleMiddle AgedRandomized Controlled Trials as TopicBlood GlucoseChinaFamily memberRandomized controlled trialType 2 diabetesWeChat

Identifiers

PMID30953483
PMCPMC6451245
OpenAlexW2944620071

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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 Socratic graph.