Evidence map›Paper›PMID 33909607›Full record

Trial reportPLoS medicine2021

Effectiveness of a primary care-based integrated mobile health intervention for stroke management in rural China (SINEMA): A cluster-randomized controlled trial.

Lijing L Yan, Enying Gong, Wanbing Gu, Elizabeth L Turner, John A Gallis, Yun Zhou, Zixiao Li, Kara E McCormack, Li-Qun Xu, Janet P Bettger and 3 more

4 registry-linked trialsOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PLoS medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Cited by 48 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 13 pooled it
10.2field-weighted citation impact, top 1% 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.

NCT03185858 nacompletednot on this map

System-integrated Technology-enabled Model of Care to Improve the Health of Stroke Patients in Rural China

TypeinterventionalSponsorDuke Kunshan UniversityRan2017 to 2019Enrolled1,299ConditionsStrokeArmsSINEMA intervention
NCT05508672 nacompletednot on this mapstarted 2023, after this paper: background citation

Community-Centered eHealth Smoking Cessation Intervention Based on the "Smoking Rationalization Beliefs" Framework for Chinese Male Smokers

TypeinterventionalSponsorDuke Kunshan UniversityRan2023 to 2023Enrolled60ConditionsSmoking Cessation, Lifestyle, HealthyArmsCommunity-Centered eHealth Smoking Cessation Intervention (CCeSCI), Traditional "smoking is harmful" education
NCT06975501 naactive not recruitingnot on this mapstarted 2025, after this paper: background citation

A Community-Based 2×2 Factorial Randomized Controlled Trial Evaluating a Multicomponent Physical and Cognitive Intervention for Older Adults With Stroke and Comorbid Chronic Conditions in Urban China

TypeinterventionalSponsorDuke Kunshan UniversityRan2025 to 2027Enrolled444ConditionsHypertension, Type 2 Diabetes Mellitus (T2DM), Multimorbidity, StrokeArmsExercise Intervention, Cognitive Intervention
NCT07076134 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

A Pilot Trial of a Community-and Primary Care-based Intervention Linked With mObile Technology for Hypertension Control in Nepal (CoPILOT Trial)

TypeinterventionalSponsorDuke Kunshan UniversityRan2025 to 2025Enrolled520ConditionsHypertensionArmsFCHVs and FLHWs in a community managing HTN using primary care based approach and mobile health technology
3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 13 syntheses or guidelines pooled it, 100 citations in OpenAlex.

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  3. Smartphone application-based interventions for cardiometabolic risk factor management: A systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
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  6. Integrated care management for patients following acute stroke: a systematic review.QJM : monthly journal of the Association of Physicians · 2025
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  8. Smartphone application-based intervention to lower blood pressure: a systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
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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 at 5 institutions in 3 countries.

Lijing L YanGlobal Health Research Center, Duke Kunshan University, Jiangsu, China.ORCID 0000-0002-3029-0462
Enying GongGlobal Health Research Center, Duke Kunshan University, Jiangsu, China.ORCID 0000-0003-2203-0369
Wanbing GuGlobal Health Research Center, Duke Kunshan University, Jiangsu, China.
Elizabeth L TurnerDuke Global Health Institute, Duke University, Durham, North Carolina, United States of America.
John A GallisDuke Global Health Institute, Duke University, Durham, North Carolina, United States of America.ORCID 0000-0003-1921-8424
Yun ZhouBeijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0003-3026-9660
Zixiao LiBeijing Tiantan Hospital, Capital Medical University, Beijing, China.
Kara E McCormackDepartment of Biostatistics & Bioinformatics, Duke University, Durham North Carolina, United States.ORCID 0000-0001-9082-9661
Li-Qun XuChina Mobile Industry Institute, Chengdu, China.ORCID 0000-0001-6315-4240
Janet P BettgerDuke Global Health Institute, Duke University, Durham, North Carolina, United States of America.ORCID 0000-0001-9708-8413
Shenglan TangDuke Global Health Institute, Duke University, Durham, North Carolina, United States of America.ORCID 0000-0001-5727-078X
Yilong WangBeijing Tiantan Hospital, Capital Medical University, Beijing, China.
Brian OldenburgMelbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia.ORCID 0000-0002-7712-5413
Duke University · USCapital Medical University · CNThe University of Melbourne · AUChina Mobile (China) · CNDuke Kunshan University · CN

Funding

Medical Research Council MR/N015967/1Wellcome Trust
6 · The paper itself

Abstract

backgroundManaging noncommunicable diseases through primary healthcare has been identified as the key strategy to achieve universal health coverage but is challenging in most low- and middle-income countries. Stroke is the leading cause of death and disability in rural China. This study aims to determine whether a primary care-based integrated mobile health intervention (SINEMA intervention) could improve stroke management in rural China. METHODS AND

findingsBased on extensive barrier analyses, contextual research, and feasibility studies, we conducted a community-based, two-arm cluster-randomized controlled trial with blinded outcome assessment in Hebei Province, rural Northern China including 1,299 stroke patients (mean age: 65.7 [SD:8.2], 42.6% females, 71.2% received education below primary school) recruited from 50 villages between June 23 and July 21, 2017. Villages were randomly assigned (1:1) to either the intervention or control arm (usual care). In the intervention arm, village doctors who were government-sponsored primary healthcare providers received training, conducted monthly follow-up visits supported by an Android-based mobile application, and received performance-based payments. Participants received monthly doctor visits and automatically dispatched daily voice messages. The primary outcome was the 12-month change in systolic blood pressure (BP). Secondary outcomes were predefined, including diastolic BP, health-related quality of life, physical activity level, self-reported medication adherence (antiplatelet, statin, and antihypertensive), and performance in "timed up and go" test. Analyses were conducted in the intention-to-treat framework at the individual level with clusters and stratified design accounted for by following the prepublished statistical analysis plan. All villages completed the 12-month follow-up, and 611 (intervention) and 615 (control) patients were successfully followed (3.4% lost to follow-up among survivors). The program was implemented with high fidelity, and the annual program delivery cost per capita was US$24.3. There was a significant reduction in systolic BP in the intervention as compared with the control group with an adjusted mean difference: -2.8 mm Hg (95% CI -4.8, -0.9; p = 0.005). The intervention was significantly associated with improvements in 6 out of 7 secondary outcomes in diastolic BP reduction (p < 0.001), health-related quality of life (p = 0.008), physical activity level (p < 0.001), adherence in statin (p = 0.003) and antihypertensive medicines (p = 0.039), and performance in "timed up and go" test (p = 0.022). We observed reductions in all exploratory outcomes, including stroke recurrence (4.4% versus 9.3%; risk ratio [RR] = 0.46, 95% CI 0.32, 0.66; risk difference [RD] = 4.9 percentage points [pp]), hospitalization (4.4% versus 9.3%; RR = 0.45, 95% CI 0.32, 0.62; RD = 4.9 pp), disability (20.9% versus 30.2%; RR = 0.65, 95% CI 0.53, 0.79; RD = 9.3 pp), and death (1.8% versus 3.1%; RR = 0.52, 95% CI 0.28, 0.96; RD = 1.3 pp). Limitations include the relatively short study duration of only 1 year and the generalizability of our findings beyond the study setting.

conclusionsIn this study, a primary care-based mobile health intervention integrating provider-centered and patient-facing technology was effective in reducing BP and improving stroke secondary prevention in a resource-limited rural setting in China.

trial registrationClinicalTrials.gov NCT03185858.

Indexed as

Mobile ApplicationsQuality of LifeAgedBlood PressureChinaExerciseFemaleHumansMaleMedication AdherenceMiddle AgedPrimary Health CareSecondary PreventionStrokeTelemedicine

Identifiers

PMID33909607
PMCPMC8115798
OpenAlexW3159965987

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.