Evidence map›Paper›PMID 32044751›Full record

Trial reportJournal of medical Internet research2020

Effect of a WeChat-Based Intervention (Run4Love) on Depressive Symptoms Among People Living With HIV in China: A Randomized Controlled Trial.

Yan Guo, Y Alicia Hong, Weiping Cai, Linghua Li, Yuantao Hao, Jiaying Qiao, Zhimeng Xu, Hanxi Zhang, Chengbo Zeng, Cong Liu and 4 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 12 pooled it
1.6field-weighted citation impact, top 9% 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

53 citing papers in PubMed, 12 syntheses or guidelines pooled it, 91 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

14 authors at 6 institutions in 2 countries.

Yan GuoDepartment of Epidemiology and Biostatistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-8754-1090
Y Alicia HongDepartment of Health Administration and Policy, College of Health and Human Services, George Mason University, Fairfax, VA, United States.ORCID 0000-0002-1481-6495
Weiping CaiDepartment of Infectious Diseases, Guangzhou Number Eight People's Hospital, Guangzhou, China.ORCID 0000-0002-1287-0623
Linghua LiDepartment of Infectious Diseases, Guangzhou Number Eight People's Hospital, Guangzhou, China.ORCID 0000-0001-5711-8681
Yuantao HaoDepartment of Epidemiology and Biostatistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0001-8024-5312
Jiaying QiaoDepartment of Epidemiology and Biostatistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0003-1171-5098
Zhimeng XuDepartment of Epidemiology and Biostatistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0003-1042-9786
Hanxi ZhangNational Center of AIDS/STD Control and Prevention, Beijing, China.ORCID 0000-0002-2193-9581
Chengbo ZengSouth Carolina SmartState Center of Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.ORCID 0000-0002-3512-1115
Cong LiuDepartment of Infectious Diseases, Guangzhou Number Eight People's Hospital, Guangzhou, China.ORCID 0000-0001-7147-8923
Yiran LiDepartment of Epidemiology and Biostatistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-4704-8728
Mengting ZhuDepartment of Epidemiology and Biostatistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-7247-7620
Yu ZengDepartment of Epidemiology and Biostatistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-2604-9502
Frank J PenedoDepartment of Psychology, University of Miami, Coral Gables, FL, United States.ORCID 0000-0002-2422-2391
Sun Yat-sen University · CNGuangzhou Eighth People's Hospital · CNGeorge Mason University · USNational Center for AIDS/STD Control and Prevention,China CDC · CNUniversity of Miami · USUniversity of South Carolina · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople living with HIV (PLWH) have high rates of depressive symptoms. However, only a few effective mental health interventions exist for this vulnerable population.

objectiveThe aim of this study was to assess the efficacy of a WeChat-based intervention, Run4Love, with a randomized controlled trial among 300 people living with HIV and depression (PLWHD) in China.

methodsWe recruited PLWH from the HIV outpatient clinic in South China. Participants were screened based on the Center for Epidemiologic Studies-Depression (CES-D) scale. Those who scored 16 or higher were eligible to participate. A total of 300 eligible patients were enrolled. After obtaining informed consent from the participants, completion of a baseline survey, and collection of participants' hair samples for measuring cortisol, the participants were randomly assigned to an intervention or a control group in a 1:1 ratio. The intervention group received the Run4Love program, delivered via the popular social media app WeChat. Cognitive behavioral stress management courses and weekly reminders of exercise were delivered in a multimedia format. Participants' progress was monitored with timely and tailored feedback. The control group received usual care and a brochure on nutrition for PLWH. Data were collected at 3, 6, and 9 months. The primary outcome was depression, which was measured by a validated instrument.

resultsParticipants in the intervention and control groups were comparable at baseline; about 91.3% (139/150), 88.3% (132/150), and 86.7% (130/150) participants completed the 3-, 6-, and 9-month follow-ups, respectively. At the 3-month follow-up, a significant reduction in CES-D score was observed in the intervention group (from 23.9 to 17.7 vs from 24.3 to 23.8; mean difference=-5.77, 95% CI -7.82 to -3.71; P<.001; standard effect size d=0.66). The mean changes in CES-D score from baseline to the 6- and 9-month follow-ups between the two groups remained statistically significant. No adverse events were reported.

conclusionsThe WeChat-based mobile health (mHealth) intervention Run4Love significantly reduced depressive symptoms among PLWHD, and the effect was sustained. An app-based mHealth intervention could provide a feasible therapeutic option for many PLWHD in resource-limited settings. Further research is needed to assess generalizability and cost-effectiveness of this intervention.

trial registrationChinese Clinical Trial Registry ChiCTR-IPR-17012606; http://www.chictr.org.cn/showproj.aspx?proj=21019 (Archived by WebCite at https://www.webcitation.org/78Bw2vouF).

Indexed as

AdultCase-Control StudiesChinaDepressionFemaleHIV InfectionsHumansMaleMental HealthMiddle AgedTelemedicinedepressionHIVmHealthrandomized controlled trialWeChat

Identifiers

PMID32044751
PMCPMC7058168
OpenAlexW3005650543

What OpenQuestion holds

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LicenceCC BY
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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.