Evidence map›Paper›PMID 29940921›Full record

Trial reportBMC public health2018

Run4Love, a mHealth (WeChat-based) intervention to improve mental health of people living with HIV: a randomized controlled trial protocol.

Yan Guo, Y Alicia Hong, Jiaying Qiao, Zhimeng Xu, Hanxi Zhang, Chengbo Zeng, Weiping Cai, Linghua Li, Cong Liu, Yiran Li and 3 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
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

26 citing papers in PubMed.

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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

13 authors.

Yan GuoSchool of Public Health, Sun Yat-sen University, #74 Zhongshan 2nd Road, Guangzhou, 510080, China. guoy8@mail.sysu.edu.cn.
Y Alicia HongDepartment of Health Promotion and Community Health Sciences, School of Public Health, Texas A&M University, 212 Adriance Lab Road, College Station, TX, 77843, USA. yhong@sph.tamhsc.edu.ORCID 0000-0002-1481-6495
Jiaying QiaoDepartment of Infectious Disease, Guangzhou Number Eight People's Hospital, #627 Dongfeng Road, Guangzhou, 510080, China.
Zhimeng XuJohns Hopkins Bloomberg School of Public Health Baltimore, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
Hanxi ZhangSchool of Public Health, Sun Yat-sen University, #74 Zhongshan 2nd Road, Guangzhou, 510080, China.
Chengbo ZengSchool of Public Health, Sun Yat-sen University, #74 Zhongshan 2nd Road, Guangzhou, 510080, China.
Weiping CaiSchool of Public Health, Sun Yat-sen University, #74 Zhongshan 2nd Road, Guangzhou, 510080, China.
Linghua LiDepartment of Infectious Disease, Guangzhou Number Eight People's Hospital, #627 Dongfeng Road, Guangzhou, 510080, China.
Cong LiuJohns Hopkins Bloomberg School of Public Health Baltimore, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
Yiran LiJohns Hopkins Bloomberg School of Public Health Baltimore, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
Mengting ZhuJohns Hopkins Bloomberg School of Public Health Baltimore, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
Nathan Asher HarrisSun Yat-sen Global Health Institute, Institute of State Governance, Sun Yat-sen University, #74 Zhongshan 2nd Road, Guangzhou, 510080, China.
Cui YangJohns Hopkins Bloomberg School of Public Health Baltimore, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.

Funding

China Medical Board 17-271National Natural Science Foundation of China 71573290
6 · The paper itself

Abstract

backgroundPeople living with HIV (PLWH) suffer from high rates of mental illness; but targeted effective interventions are limited, especially in developing countries. High penetration of smartphone usage and widespread acceptance of social media applications provide an unprecedented opportunity for mobile-based health interventions (mHealth interventions) in resource-limited settings like China. The current report describes the design and sample characteristics of the Run4Love randomized controlled trial (RCT) aimed at improving mental health in PLWH in China.

methodsA total of 300 PLWH with elevated depressive symptoms were recruited and randomized into either the intervention or control group. Participants in the intervention group received an adapted cognitive-behavioral stress management (CBSM) course delivered by the enhanced WeChat platform (for 3 months) and were motivated to engage in physical activities. Progress of the participants was automatically tracked and monitored with timely feedback and rewards. The control group received a brochure on nutrition for PLWH in addition to standard care. The outcome assessments are conducted at baseline, 3, 6, and 9 months using tablets. The primary outcome is depressive symptoms measured by the scale of the Center for Epidemiology Studies Depression (CES-D). Secondary outcomes include quality of life, chronic stress measured with biomarker of hair cortisol, and other measures of stress and depression, self-efficacy, coping, HIV-related stigma, physical activity, and patient satisfaction. Mixed effects model with repeated measures (MMRM) will be used to analyze the intervention effects. DISCUSSION: The Run4Love study is among the first efforts to develop and evaluate a multicomponent and integrated mHealth intervention to improve the mental health and quality of life of PLWH. Once proven effective, Run4Love could be scaled up and potentially integrated into the routine case management of PLWH and adapted to other populations with chronic diseases.

trial registrationChinese Clinical Trial Registry - ChiCTR-IPR-17012606 , registered on 07 September 2017.

Indexed as

Mental HealthTelemedicineAdaptation, PsychologicalAdultChinaDepressionFemaleHealth PromotionHIV InfectionsHumansMalePatient SatisfactionQuality of LifeSmartphoneSocial StigmaDepressionMental healthmHealth interventionPeople living with HIV (PLWH)Randomized controlled trial

Identifiers

PMID29940921
PMCPMC6019517

What OpenQuestion holds

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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.