Evidence map›Paper›PMID 31325288›Full record

ArticleJMIR mHealth and uHealth2019

A Smart and Multifaceted Mobile Health System for Delivering Evidence-Based Secondary Prevention of Stroke in Rural China: Design, Development, and Feasibility Study.

Na Wu, Enying Gong, Bo Wang, Wanbing Gu, Nan Ding, Zhuoran Zhang, Mengyao Chen, Lijing L Yan, Brian Oldenburg, Li-Qun Xu

2 registry-linked trialsOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
5.8field-weighted citation impact, top 4% 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
NCT05217329 nacompletednot on this map

Smart Phone as an Assistive Technology for Stroke Upper Limb Motor Function Training - Feasibility and Treatment Effects Analysis

TypeinterventionalSponsorKaohsiung Medical University Chung-Ho Memorial HospitalRan2018 to 2021Enrolled40ConditionsStrokeArmssmart phone App rehabilitation, conventional rehabilitation
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 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

10 authors at 3 institutions in 2 countries.

Na Wu *Center of Excellence for mHealth and Smart Healthcare, China Mobile Research Institute, China Mobile Communications Corporation, Beijing, China.ORCID 0000-0002-6163-9081
Enying Gong *Global Health Research Center, Duke Kunshan University, Kunshan, China.ORCID 0000-0003-2203-0369
Bo WangCenter of Excellence for mHealth and Smart Healthcare, China Mobile Research Institute, China Mobile Communications Corporation, Beijing, China.ORCID 0000-0002-3298-381X
Wanbing GuGlobal Health Research Center, Duke Kunshan University, Kunshan, China.ORCID 0000-0001-7673-1246
Nan DingCenter of Excellence for mHealth and Smart Healthcare, China Mobile Research Institute, China Mobile Communications Corporation, Beijing, China.ORCID 0000-0002-1908-9127
Zhuoran ZhangCenter of Excellence for mHealth and Smart Healthcare, China Mobile Research Institute, China Mobile Communications Corporation, Beijing, China.ORCID 0000-0001-5951-3597
Mengyao ChenCenter of Excellence for mHealth and Smart Healthcare, China Mobile Research Institute, China Mobile Communications Corporation, Beijing, China.ORCID 0000-0003-3373-7773
Lijing L YanGlobal Health Research Center, Duke Kunshan University, Kunshan, China.ORCID 0000-0002-3029-0462
Brian OldenburgSchool of Population and Global Health, The University of Melbourne, Victoria, Australia.ORCID 0000-0002-7712-5413
Li-Qun XuCenter of Excellence for mHealth and Smart Healthcare, China Mobile Research Institute, China Mobile Communications Corporation, Beijing, China.ORCID 0000-0001-6315-4240
China Mobile (China) · CNDuke Kunshan University · CNThe University of Melbourne · AU

Funding

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

Abstract

backgroundMobile health (mHealth) technologies hold great promise in improving the delivery of high-quality health care services. Yet, there has been little research so far applying mHealth technologies in the context of delivering stroke care in resource-limited rural regions.

objectiveThis study aimed to introduce the design and development of an mHealth system targeting primary health care providers and to ascertain its feasibility in supporting the delivery of a System-Integrated techNology-Enabled Model of cAre (SINEMA) service for strengthening secondary prevention of stroke in rural China.

methodsThe SINEMA mHealth system was designed by a multidisciplinary team comprising public health researchers, neurologists, and information and communication technology experts. The iterative co-design and development of the mHealth system involved the following 5 steps: (1) assessing the needs of relevant end users through in-depth interviews of stakeholders, (2) designing the functional modules and evidence-based care content, (3) designing and building the system and user interface, (4) improving and enhancing the system through a 3-month pilot test in 4 villages, and (5) finalizing the system and deploying it in field trial, and finally, evaluating its feasibility through a survey of the dominant user group.

resultsFrom the in-depth interviews of 49 relevant stakeholders, we found that village doctors had limited capacity in caring for village-dwelling stroke patients in rural areas. Primary health care workers demonstrated real needs in receiving appropriate training and support from the mHealth system as well as great interests in using the mHealth technologies and tools. Using these findings, we designed a multifaceted mHealth system with 7 functional modules by following the iterative user-centered design and software development approach. The mHealth system, aimed at 3 different types of users (village doctors, town physicians, and county managers), was developed and utilized in a cluster-randomized controlled trial by 25 village doctors in a resource-limited county in rural China to manage 637 stroke patients between July 2017 and July 2018. In the end, a survey on the usability and functions of the mHealth system among village doctors (the dominant group of users, response rate=96%, 24/25) revealed that most of them were satisfied with the essential functions provided (71%) and were keen to continue using it (92%) after the study.

conclusionsThe mHealth system was feasible for assisting primary health care providers in rural China in delivering the SINEMA service on the secondary prevention of stroke. Further research and initiatives in scaling up the SINEMA approach and this mHealth system to other resource-limited regions in China and beyond will likely enhance the quality and accessibility of essential secondary prevention among stroke patients. CLINICALTRIAL: ClinicalTrials.gov NCT03185858; https://clinicaltrials.gov/ct2/show/NCT03185858. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1016/j.ahj.2018.08.015.

Indexed as

AdultAgedChinaEvidence-Based MedicineFeasibility StudiesFemaleHumansMaleMiddle AgedMobile ApplicationsRandomized Controlled Trials as TopicRural Health ServicesSecondary PreventionSoftware DesignStrokeSurveys and QuestionnairesChinamobile applicationrural health servicessecondary preventionsoftware designstroke

Identifiers

PMID31325288
PMCPMC6676792
OpenAlexW2951132312

What OpenQuestion holds

Textmetadata
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.