Evidence map›Paper›PMID 32293574›Full record

ArticleJMIR mHealth and uHealth2020

Treatment Adherence and Secondary Prevention of Ischemic Stroke Among Discharged Patients Using Mobile Phone- and WeChat-Based Improvement Services: Cohort Study.

Yuanjin Zhang, Dongsheng Fan, Hong Ji, Shudong Qiao, Xia Li

Erratum issued Registry-linked trialAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT02618265 (Mobile Terminal Based Management and Platelet Reactivity Modified Drug Regulation of Stroke Secondary Prevention), which is not on this map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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.

NCT02618265 naunknown statusnot on this map

Mobile Terminal Based Management and Platelet Reactivity Modified Drug Regulation of Stroke Secondary Prevention

TypeinterventionalSponsorPeking University Third HospitalRan2016 to 2018Enrolled400ConditionsStrokeArmsMobile terminal, traditional management, website platform management
3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

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  15. mHealth Intervention Applications for Adults Living With the Effects of Stroke: A Scoping Review.Archives of rehabilitation research and clinical translation · 2021
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  16. Review
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  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Yuanjin ZhangNeurology Department, Peking University Third Hospital, Beijing, China.ORCID 0000-0003-0402-5080
Dongsheng FanNeurology Department, Peking University Third Hospital, Beijing, China.ORCID 0000-0002-3965-7718
Hong JiInformation Management and Big Data Center, Peking University Third Hospital, Beijing, China.ORCID 0000-0001-6313-168X
Shudong QiaoNeurology Department, Peking University Shougang Hospital, Beijing, China.ORCID 0000-0003-1628-3976
Xia LiNeurology Department, Peking University Shougang Hospital, Beijing, China.ORCID 0000-0003-3912-8741

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReal-world studies have indicated that adherence is important for guaranteeing medication effectiveness. Few studies have tested the feasibility and efficacy of WeChat-based improvement services, via mobile phone, in secondary prevention-specific follow-up among discharged stroke patients.

objectiveWe evaluated a quadruple-domain, WeChat-based service for ischemic stroke secondary prevention designed to improve treatment adherence of discharged patients. This service focuses on sending reminders for drug use, blood pressure recording, and glucose recording; it also records medication use. We compared the endpoint event rate between WeChat self-monitoring and traditional monitoring.

methodsA cohort study was used to determine the feasibility of a physician-assisted, WeChat-based improvement service and follow-up self-monitoring platform for the secondary prevention of ischemic stroke. The platform was developed by the Peking University Third Hospital based on the information-motivation-behavioral skills model. The overall adherence rate was calculated as the proportion of medication doses verified via uploading. The ischemic endpoint event rate and medication noncompliance rate were compared between traditional prevention monitoring and WeChat self-monitoring. Factors influencing adherence were summarized.

resultsThe 1-year follow-up event rate of the WeChat self-monitoring group was 11.9% (12/101), which was less than that of the traditional group (21/157, 13.4%). Compared with the traditional group, the risk ratio of the WeChat group was 0.983 (95% CI 0.895-1.080); this difference was not noted to be significant. The 1-year medication noncompliance ratio tended to be lower in the WeChat monitoring group (3/101, 3.0%) than in the traditional group (11/157, 7.0%; χ

conclusionsUse of WeChat self-monitoring showed a trend of increasing medication compliance and decreasing ischemic endpoint event rate compared with traditional monitoring. However, there were ceiling effects in the outcomes, and a relatively small sample size was used. Male participants displayed better adherence to WeChat self-monitoring. The community-based population displayed good adherence when using WeChat self-monitoring.

trial registrationClinicalTrials.gov NCT02618265; https://clinicaltrials.gov/ct2/show/NCT02618265.

Indexed as

Brain IschemiaCell PhoneIschemic StrokeStrokeCohort StudiesHumansMalePatient DischargeSecondary Preventionsecondary preventionself-monitoringstrokeWeChat

Identifiers

PMID32293574
PMCPMC7190093

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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 OpenQuestion graph.