Evidence map›Paper›PMID 32228462›Full record

ArticleBMC geriatrics2020

Couple-based collaborative management model of type 2 diabetes mellitus for community-dwelling older adults in China: protocol for a hybrid type 1 randomized controlled trial.

Jing Liao, Xueji Wu, Caixuan Wang, Xiaochun Xiao, Yiyuan Cai, Min Wu, Yuyang Liu, Xiongfei Chen, Shaolong Wu, Yung Jen Yang and 1 more

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMC geriatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.8field-weighted citation impact, top 6% 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.

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

14 citing papers in PubMed, 27 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

11 authors at 2 institutions in 1 country.

Jing LiaoDepartment of Medical Statistics & Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, P.R. China.
Xueji WuDivision of Primary Health Care, Guangzhou Center for Disease Control and Prevention, Guangzhou, P.R. China.
Caixuan WangDepartment of Medical Statistics & Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, P.R. China.
Xiaochun XiaoSchool of Nursing, Sun Yat-sen University, Guangzhou, P.R. China.
Yiyuan CaiDepartment of Medical Statistics & Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, P.R. China.
Min WuDepartment of Medical Statistics & Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, P.R. China.
Yuyang LiuDepartment of Medical Statistics & Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, P.R. China.
Xiongfei ChenDivision of Primary Health Care, Guangzhou Center for Disease Control and Prevention, Guangzhou, P.R. China.
Shaolong WuDepartment of Health Policy and Management, School of Public Health, Sun Yat-sen University, Guangzhou, P.R. China.
Yung Jen YangTaiwanese Society of Geriatric Psychiatry, Taiwan, China.
Dong Roman XuSun Yat-sen Global Health Institute, School of Public Health and Institute of State Governance, Sun Yat-sen University, No.135 Xingang West Road, Guangzhou, 510275, P.R. China. xudong5@mail.sysu.edu.cn.
Sun Yat-sen University · CNGuangzhou Center for Disease Control and Prevention · CN

Funding

National Natural Science Foundation of China #71804201
6 · The paper itself

Abstract

backgroundChina's limited health care resources cannot meet the needs of chronic disease treatment and management of its rapid growing ageing population. The improvement and maintenance of patient's self-management is essential to disease management. Given disease management mainly occurs in the context of family, this study proposes to validate a Couple-based Collaborative Management Model of chronic diseases that integrates health professionals and family supporters; such as to empower the couples with disease management knowledge and skills, and to improve the couples' health and quality of life.

methodsThe proposed study will validate a couple-based collaborative management model of Type 2 Diabetes Mellitus (T2DM) in a community-based multicenter, two-arm, randomized controlled trial of block design in Guangzhou, China. Specifically, 194 T2DM patients aged ≥55 and their partners recruited from community health care centers will be randomized at the patient level for each center at a 1:1 ratio into the couple-based intervention arm and the individual-based control arm. For the intervention arm, both the patients and their spouses will receive four-weekly structured group education & training sessions and 2 months of weekly tailored behavior change boosters; while these interventions will be only provided to the patients in the control group. Behavior change incentives will be targeted at the couples or only at the patient respectively. Treatment effects on patients' hemoglobin, spouses' quality of life, alongside couples' behavior outcomes will be compared between arms. Study implementation will be evaluated considering its Reach, Effectiveness, Adoption, Implementation and Maintenance following the RE-AIM framework. DISCUSSION: This study will generate a model of effective collaboration between community health professionals and patients' family, which will shield light on chronic disease management strategy for the increasing ageing population.

trial registrationChinese Clinical Trial Registry, ChiCTR1900027137, Registered 1st Nov. 2019.

Indexed as

Diabetes Mellitus, Type 2AgedChinaHumansIndependent LivingMotivationMulticenter Studies as TopicQuality of LifeRandomized Controlled Trials as TopicTreatment OutcomeCouple-based interventionHealth behaviorSelf-managementSocial supportType 2 diabetes

Identifiers

PMID32228462
PMCPMC7106607
OpenAlexW3013460925

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Registered trials

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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.