Evidence map›Paper›PMID 31845901›Full record

Trial reportJMIR mHealth and uHealth2019

Development and Local Contextualization of Mobile Health Messages for Enhancing Disease Management Among Community-Dwelling Stroke Patients in Rural China: Multimethod Study.

Enying Gong, Wanbing Gu, Erdan Luo, Liwei Tan, Julian Donovan, Cheng Sun, Ying Yang, Longkai Zang, Peng Bao, Lijing L Yan

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report 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 trial NCT05508672 (Community-Centered eHealth Smoking Cessation Intervention Based on the "Smoking Rationalization Beliefs" Framework for Chinese Male Smokers), which is not on this map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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.

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
3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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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.

Enying Gong *Global Health Research Center, Duke Kunshan University, Kunshan, China.ORCID 0000-0003-2203-0369
Wanbing Gu *Global Health Research Center, Duke Kunshan University, Kunshan, China.ORCID 0000-0001-7673-1246
Erdan LuoGlobal Health Research Center, Duke Kunshan University, Kunshan, China.ORCID 0000-0001-9342-4547
Liwei TanGlobal Health Research Center, Duke Kunshan University, Kunshan, China.ORCID 0000-0002-5048-6243
Julian DonovanNorthumbria Healthcare National Health Service Foundation Trust, Wallsend, United Kingdom.ORCID 0000-0001-6414-7261
Cheng SunGlobal Health Research Center, Duke Kunshan University, Kunshan, China.ORCID 0000-0002-0434-9512
Ying YangGlobal Health Research Center, Duke Kunshan University, Kunshan, China.ORCID 0000-0003-0867-3878
Longkai ZangGlobal Health Research Center, Duke Kunshan University, Kunshan, China.ORCID 0000-0003-3316-4450
Peng BaoGlobal Health Research Center, Duke Kunshan University, Kunshan, China.ORCID 0000-0001-6506-197X
Lijing L YanGlobal Health Research Center, Duke Kunshan University, Kunshan, China.ORCID 0000-0002-3029-0462

Funding

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

Abstract

backgroundRural China has experienced an increasing health burden because of stroke. Stroke patients in rural communities have relatively poor awareness of and adherence to evidence-based secondary prevention and self-management of stroke. Mobile technology represents an innovative way to influence patient behaviors and improve their self-management.

objectiveThis study is part of the System-Integrated Technology-Enabled Model of Care (the SINEMA trial) to improve the health of stroke patients in resource-poor settings in China. This study aimed to develop and pilot-test a mobile phone message-based package, as a component of the SINEMA intervention.

methodsThe SINEMA trial was conducted in Nanhe County, Hebei Province, China. A total of 4 villages were selected for pretrial contextual research and pilot study. The 5 stages for developing the mobile phone messages were as follows: (1) conducting literature review on existing message banks and analyzing the characteristics of these banks; (2) interviewing stroke patients and caregivers to identify their needs; (3) drafting message contents and designing dispatching algorithms for a 3-month pilot testing; (4) collecting feedback from pilot participants through questionnaire survey and in-depth interviews on facilitators and barriers related to their acceptance and understanding of messages; and (5) finalizing the message-based intervention based on participants' feedback for the SINEMA trial.

resultsOn the basis of 5 existing message banks screened out of 120 papers and patients' needs identified from 32 in-depth interviews among stroke patients and caregivers, we developed a message bank containing 224 messages for a pilot study among 54 community-dwelling stroke patients from 4 villages. Of 54 participants, 51 (response rate: 94.4%) completed the feedback survey after receiving daily messages for 3 months. Participants' mean age was 68 years (SD 9.2), and about half had never been to school. We observed a higher proportion of participants who were in favor of voice messages (23/42, 54%) than text messages (14/40, 35%). Among participants who received voice messages (n=43) and text messages (n=40), 41 and 30, respectively, self-reported a full or partial understanding of the contents, and 39 (39/43, 91%) and 32 (32/40, 80%), respectively, rated the messages as helpful. Analyses of the 32 interviews further revealed that voice messages containing simple and single-theme content, in plain language, with a repeated structure, a slow playback speed, and recorded in local dialect, were preferred by rural stroke patients. In addition, the dispatching algorithm and tools may also influence the acceptance of message-based interventions.

conclusionsBy applying multiple methodologies and conducting a pilot study, we designed and fine-tuned a voice message-based intervention package for promoting secondary prevention among community-dwelling stroke patients in rural China. Design of the content and dispatching algorithm should engage both experts and end users and adequately consider the needs and preferences of recipients.

Indexed as

AgedAlgorithmsAwarenessCaregiversCase-Control StudiesCell PhoneChinaDelivery of Health CareDisease ManagementFemaleGlobal Burden of DiseaseHumansIndependent LivingMaleMiddle AgedPatient ComplianceChinaphone messagesrural populationsecondary preventionstroke

Identifiers

PMID31845901
PMCPMC6938591

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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.