Evidence map›Paper›PMID 30181109›Full record

ArticleJMIR mHealth and uHealth2018

Development and Feasibility Testing of an mHealth (Text Message and WeChat) Intervention to Improve the Medication Adherence and Quality of Life of People Living with HIV in China: Pilot Randomized Controlled Trial.

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

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 5 pooled it
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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

44 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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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

9 authors.

Yan Guo *Department of Biostatistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID http://orcid.org/0000-0002-8754-1090
Zhimeng Xu *Department of Biostatistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID http://orcid.org/0000-0003-1042-9786
Jiaying Qiao *Department of Biostatistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID http://orcid.org/0000-0003-1171-5098
Y Alicia Hong *Department of Health Promotion and Community Health Sciences, School of Public Health, Texas A&M University, College Station, TX, United States.ORCID http://orcid.org/0000-0002-1481-6495
Hanxi ZhangDepartment of Biostatistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID http://orcid.org/0000-0002-2193-9581
Chengbo ZengDepartment of Biostatistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID http://orcid.org/0000-0002-3512-1115
Weiping CaiDepartment of Infectious Disease, Eighth People's Hospital, Guangzhou, China.ORCID http://orcid.org/0000-0002-1287-0623
Linghua LiDepartment of Infectious Disease, Eighth People's Hospital, Guangzhou, China.ORCID http://orcid.org/0000-0001-5711-8681
Cong LiuDepartment of Infectious Disease, Eighth People's Hospital, Guangzhou, China.ORCID http://orcid.org/0000-0001-7147-8923

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost people living with HIV (PLWH) reside in middle- and low-income countries with limited access to health services. Thus, cost-effective interventions that can reach a large number of PLWH are urgently needed.

objectiveThe objective of our study was to assess the feasibility and acceptability of an mHealth intervention among PLWH in China.

methodsBased on previous formative research, we designed an mHealth intervention program that included sending weekly reminders to participants via text messages (short message service, SMS) and articles on HIV self-management three times a week via a popular social media app WeChat. A total of 62 PLWH recruited from an HIV outpatient clinic were randomly assigned to intervention or control group. The intervention lasted for 3 months, and all participants were assessed for their medication adherence, presence of depression, quality of life (QoL), and CD4 (cluster of differentiation 4) counts. Upon completing the intervention, we interviewed 31 participants to further assess the feasibility and acceptability of the study.

resultsAt baseline, the intervention and control groups did not differ in terms of demographic characteristics or any of the major outcome measures. About 85% (53/62) of the participants completed the intervention, and they provided valuable feedback on the design and content of the intervention. Participants preferred WeChat as the platform for receiving information and interactive communication for ease of access. Furthermore, they made specific recommendations about building trust, interactive features, and personalized feedback. In the follow-up assessment, the intervention and control groups did not differ in terms of major outcome measures.

conclusionsThis pilot study represents one of the first efforts to develop a text messaging (SMS)- and WeChat-based intervention that focused on improving the medication adherence and QoL of PLWH in China. Our data indicates that an mHealth intervention is feasible and acceptable to this population. The data collected through this pilot study will inform the future designs and implementations of mHealth interventions in this vulnerable population. We recommend more innovative mHealth interventions with rigorous designs for the PLWH in middle- and low-income countries.

trial registrationChinese Clinical Trial Registry ChiCTR1800017987; http://www.chictr.org.cn/showprojen.aspx?proj=30448 (Archived by WebCite at http://www.webcitation.org/71zC7Pdzs). REGISTERED REPORT IENTIFIER: RR1-10.2196/.

Indexed as

medication adherencemHealthpeople living with HIVrandomized controlled trialsocial media

Identifiers

PMID30181109
PMCPMC6231726

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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.