Comprehensive Management of High-risk PopuLatIon for Stroke Based on Social Network
COMPLIANCE-MT
COmprehensive Management of High-risk PopuLatIon for Stroke bAsed oN soCial nEtwork: A Multicenter Randomized Clinical Trial
1 other identifier
interventional
720
1 country
1
Brief Summary
The purpose of this study is to evaluate the effectiveness of social network in improving drug compliance and risk factors control rate of stroke high-risk population after discharge.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable stroke
Started Jul 2023
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
April 14, 2023
CompletedStudy Start
First participant enrolled
July 19, 2023
CompletedFirst Posted
Study publicly available on registry
July 27, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 30, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
April 30, 2025
CompletedMay 12, 2026
January 1, 2026
1.8 years
April 14, 2023
May 6, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Good Medication Adherence to all guideline-recommended vascular prevention medications at 12 months post-discharge
Adherence is assessed using self-reported data, with participants asked to indicate the number of days they missed taking a dose for each medication class during the preceding 30 days. This evaluation is conducted separately for each of the five evidence-based secondary prevention drug classes: antihypertensives, hypoglycemics, lipid-lowering agents, anticoagulants, and antiplatelets. Good adherence for each class is defined as taking the prescribed medication on more than 24 days out of the previous 30 days (corresponding to an adherence rate \>80%). To meet the primary endpoint, a participant must achieve this \>80% adherence threshold simultaneously across all five medication classes at the 12-month follow-up. Any self-directed cessation or adjustment of the regimen without medical consultation is categorized as non-adherence. Conversely, patients who cease or adjust their medications according to medical advice will be considered adherent. For those who adjust their medications base
12 months post-discharge
Secondary Outcomes (12)
Proportion of good medication adherence to stroke prevention drugs post-discharge
1 month, 3 months, 6 months and 12 months post-discharge
Risk factor control, including blood glucose(mmol/L), blood pressure(mmHg), lipid profile(mmol/L), body mass index (BMI) (kg/m ^ 2), waist circumference(cm), hip circumference(cm), and smoking status post-discharge.
1 month, 3 months, 6 months and 12 months post-discharge
Health-related quality of life (HRQoL)
1 month, 3 months, 6 months and 12 months post-discharge
Anxiety symptom severity
1 month, 3 months, 6 months and 12 months post-discharge
Depressive symptom severity
1 month, 3 months, 6 months and 12 months post-discharge
- +7 more secondary outcomes
Study Arms (2)
conventional care group
OTHERPatients are managed according to the conventional methods after enrollment.
Social network-based intervention group
EXPERIMENTALPatients are managed according to to the integrated digital platform
Interventions
Patients in conventional care group will receive standardized education based on ASA/AHA 2021 guidelines prior to discharge,2 delivered verbally by a certified Brain-Heart Health Manager (BHHM) and supplemented with an expert-reviewed booklet. Content will cover medication adherence, risk factor control, stroke recognition, emergency response, and follow-up plans. A contact number will be provided for post-discharge support. A baseline archive will document demographics, lifestyle, and cardiovascular risk factors.
Participants in Social network-based intervention group are onboard to the integrated digital platform. BHHMs facilitate the activation of the digital interface via a unique QR code, assist in the creation of a comprehensive electronic health record (EHR), and guide participants through an interactive tutorial to ensure technical proficiency in data entry and communication features.
Eligibility Criteria
You may qualify if:
- Age ≥18 years.
- Hospitalized patients at high risk of stroke are those who have at least three of the following risk factors: hypertension, dyslipidemia, diabetes, atrial fibrillation/valvular disease, smoking history, overweight/obesity, physical inactivity, or family stroke history; or those with a history of prior transient ischemic attack (TIA) or stroke.12
- modified Rankin Scale (mRS) score ≤2.
- Smartphone/WeChat access (patient or caregiver).
- Informed consent obtained.
- Active long-term therapy: ≥1 medication (antihypertensive, hypoglycemic, lipid-lowering, anticoagulant, antiplatelet).
You may not qualify if:
- Inability to operate smartphones (patient or caregiver).
- Comorbidities potentially confounding outcome assessments, including Advanced malignancies (life expectancy \<12 months); Documented dementia; Severe psychiatric disorders (e.g., schizophrenia, major depressive disorder).
- Residence in areas with unreliable internet access.
- Concurrent participation in other clinical trials.
- Any condition deemed by investigators to preclude safe trial participation.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Changhai Hospital
Shanghai, Shanghai Municipality, 200433, China
Related Publications (31)
Xu, A.D. Building a bridge between guidelines and practice to standardize secondary prevention of ischemic stroke/transient ischemic attack in China [J].Stroke,20105(6):429-430. https://doi.org/10.3969/j.issn.1673-5765.2010.06.002
BACKGROUNDBridgwood B, Lager KE, Mistri AK, Khunti K, Wilson AD, Modi P. Interventions for improving modifiable risk factor control in the secondary prevention of stroke. Cochrane Database Syst Rev. 2018 May 7;5(5):CD009103. doi: 10.1002/14651858.CD009103.pub3.
PMID: 29734470BACKGROUNDBenjamin EJ, Blaha MJ, Chiuve SE, Cushman M, Das SR, Deo R, de Ferranti SD, Floyd J, Fornage M, Gillespie C, Isasi CR, Jimenez MC, Jordan LC, Judd SE, Lackland D, Lichtman JH, Lisabeth L, Liu S, Longenecker CT, Mackey RH, Matsushita K, Mozaffarian D, Mussolino ME, Nasir K, Neumar RW, Palaniappan L, Pandey DK, Thiagarajan RR, Reeves MJ, Ritchey M, Rodriguez CJ, Roth GA, Rosamond WD, Sasson C, Towfighi A, Tsao CW, Turner MB, Virani SS, Voeks JH, Willey JZ, Wilkins JT, Wu JH, Alger HM, Wong SS, Muntner P; American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Heart Disease and Stroke Statistics-2017 Update: A Report From the American Heart Association. Circulation. 2017 Mar 7;135(10):e146-e603. doi: 10.1161/CIR.0000000000000485. Epub 2017 Jan 25. No abstract available.
PMID: 28122885BACKGROUNDChen, W. W., Gao, R. L., Liu, L. S., et al.Summary of the 2017 China Cardiovascular Disease Report[J]. Chinese Circulation Journal,2018,33(1):1-8.
BACKGROUNDGBD 2017 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018 Nov 10;392(10159):1789-1858. doi: 10.1016/S0140-6736(18)32279-7. Epub 2018 Nov 8.
PMID: 30496104BACKGROUNDZhang T, Zhao J, Li X, Bai Y, Wang B, Qu Y, Li B, Zhao S; Chinese Stroke Association Stroke Council Guideline Writing Committee. Chinese Stroke Association guidelines for clinical management of cerebrovascular disorders: executive summary and 2019 update of clinical management of stroke rehabilitation. Stroke Vasc Neurol. 2020 Sep;5(3):250-259. doi: 10.1136/svn-2019-000321. Epub 2020 Jun 28.
PMID: 32595138BACKGROUNDNational Health Commission of the People's Republic of China. Management Measures for the Pilot Program on Screening and Intervention for High-RiskPopulations of Apoplexy (Trial)[EB/OL].[2023-06-28].http://www.nhc.gov.cn/wjw/gfxwj/201304/3dca42b696ad411da36e8b5b9321 d8e3.shtml.
BACKGROUNDTuran TN, Nizam A, Lynn MJ, Egan BM, Le NA, Lopes-Virella MF, Hermayer KL, Harrell J, Derdeyn CP, Fiorella D, Janis LS, Lane B, Montgomery J, Chimowitz MI. Relationship between risk factor control and vascular events in the SAMMPRIS trial. Neurology. 2017 Jan 24;88(4):379-385. doi: 10.1212/WNL.0000000000003534. Epub 2016 Dec 21.
PMID: 28003500BACKGROUNDLabarthe DR, Biggers A, LaPier T, George MG; Paul Coverdell National Acute Stroke Registry. The Paul Coverdell National Acute Stroke Registry (PCNASR): a public health initiative. Am J Prev Med. 2006 Dec;31(6 Suppl 2):S192-5. doi: 10.1016/j.amepre.2006.07.027. No abstract available.
PMID: 17178302BACKGROUNDChen, Y. X., Jiang, Y., Li, Z. X., et al. Current status of medication adherence in secondary prevention of acute ischemic stroke and transient ischemic attack in China[J].Chinese Journal of Stroke,2018,13(7):686-691.
BACKGROUNDKim GG, Chae DH, Park MS, Yoo SH. Factors Influencing 1-Year Medication Adherence of Korean Ischemic Stroke Survivors. Int J Behav Med. 2020 Apr;27(2):225-234. doi: 10.1007/s12529-020-09854-z.
PMID: 32026290BACKGROUNDRanganai E, Matizirofa L. An analysis of recent stroke cases in South Africa: Trend, seasonality and predictors. S Afr Med J. 2020 Jan 29;110(2):92-99. doi: 10.7196/SAMJ.2020.v110i2.013891.
PMID: 32657676BACKGROUNDGlader EL, Sjolander M, Eriksson M, Lundberg M. Persistent use of secondary preventive drugs declines rapidly during the first 2 years after stroke. Stroke. 2010 Feb;41(2):397-401. doi: 10.1161/STROKEAHA.109.566950. Epub 2010 Jan 14.
PMID: 20075360BACKGROUNDHe, S. (2017). Development of a medication reminder app and its study on improving medication adherence [Master's thesis/Doctoral dissertation]. Anhui Medical University.
BACKGROUNDLi, M., Gai, H. Y., & Chen, H. Application of cloud follow-up platform in continuous nursing of hemiplegic patients during recovery period of ischemic stroke[J].Chongqing Medicine,2020,49(17):2956-2961.
BACKGROUNDKamal AK, Shaikh Q, Pasha O, Azam I, Islam M, Memon AA, Rehman H, Akram MA, Affan M, Nazir S, Aziz S, Jan M, Andani A, Muqeet A, Ahmed B, Khoja S. A randomized controlled behavioral intervention trial to improve medication adherence in adult stroke patients with prescription tailored Short Messaging Service (SMS)-SMS4Stroke study. BMC Neurol. 2015 Oct 21;15:212. doi: 10.1186/s12883-015-0471-5.
PMID: 26486857BACKGROUNDAkhu-Zaheya LM, Shiyab WY. The effect of short message system (SMS) reminder on adherence to a healthy diet, medication, and cessation of smoking among adult patients with cardiovascular diseases. Int J Med Inform. 2017 Feb;98:65-75. doi: 10.1016/j.ijmedinf.2016.12.003. Epub 2016 Dec 8.
PMID: 28034414BACKGROUNDMorawski K, Ghazinouri R, Krumme A, Lauffenburger JC, Lu Z, Durfee E, Oley L, Lee J, Mohta N, Haff N, Juusola JL, Choudhry NK. Association of a Smartphone Application With Medication Adherence and Blood Pressure Control: The MedISAFE-BP Randomized Clinical Trial. JAMA Intern Med. 2018 Jun 1;178(6):802-809. doi: 10.1001/jamainternmed.2018.0447.
PMID: 29710289BACKGROUNDYap HJ, Lim JJJ, Tan SD, Ang CS. Effectiveness of digital health interventions on adherence and control of hypertension: a systematic review and meta-analysis. J Hypertens. 2024 Sep 1;42(9):1490-1504. doi: 10.1097/HJH.0000000000003793. Epub 2024 Jun 24.
PMID: 38973553BACKGROUNDLee GK, Wang HH, Liu KQ, Cheung Y, Morisky DE, Wong MC. Determinants of medication adherence to antihypertensive medications among a Chinese population using Morisky Medication Adherence Scale. PLoS One. 2013 Apr 25;8(4):e62775. doi: 10.1371/journal.pone.0062775. Print 2013.
PMID: 23638143BACKGROUNDZhao Q, Yang L, Zuo Q, Zhu X, Zhang X, Wu Y, Yang L, Gao W, Li M. Instrument development and validation of the stroke pre-hospital delay behavior intention scale in a Chinese urban population. Health Qual Life Outcomes. 2014 Nov 29;12:170. doi: 10.1186/s12955-014-0170-8.
PMID: 25432795BACKGROUNDLorig KR, Sobel DS, Ritter PL, Laurent D, Hobbs M. Effect of a self-management program on patients with chronic disease. Eff Clin Pract. 2001 Nov-Dec;4(6):256-62.
PMID: 11769298BACKGROUNDLi-Hong W,Xiao-Ni X,Jun-Hao P,et al.Development and reliability and validity testing of the Stroke Patients' Healthy Behavior Scale[J].Journal of Nursing,2017,32 (1):25-29.
BACKGROUNDZimet, G. D., Dahlem, N. W., Zimet, S. G., & Farley, G. K. (1988). The multidimensional scale of perceived social support.[J]. Journal of Personality Assessment, 52(1), 30-41.
BACKGROUNDBei-Lei L.Analysis of the current status and influencing factors of functional exercise compliance among stroke patients in the community[D].Zhengzhou University ,2012.DOI:10.7666/d.y2103175.
BACKGROUNDWan LH, Zhang XP, Hong H, et al. Health behaviors of stroke patients and their influencing factors[J]. Chinese Nursing Research, 2010, 24(1):1-4.
BACKGROUNDKroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001 Sep;16(9):606-13. doi: 10.1046/j.1525-1497.2001.016009606.x.
PMID: 11556941BACKGROUNDSpitzer RL, Kroenke K, Williams JB, Lowe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006 May 22;166(10):1092-7. doi: 10.1001/archinte.166.10.1092.
PMID: 16717171BACKGROUNDEuroQol Research Foundation. EQ-5D-5L User Guide, Version 4.0[EB/OL]. (2025-08).
BACKGROUNDMorisky DE, Ang A, Krousel-Wood M, Ward HJ. Predictive validity of a medication adherence measure in an outpatient setting. J Clin Hypertens (Greenwich). 2008 May;10(5):348-54. doi: 10.1111/j.1751-7176.2008.07572.x.
PMID: 18453793BACKGROUNDLi DM, Lu XY, Yang PF, Zheng J, Hu HH, Zhou Y, Zhang LJ, Liu JM. Coordinated Patient Care via Mobile Phone-Based Telemedicine in Secondary Stroke Prevention: A Propensity Score-Matched Cohort Study. J Nurs Care Qual. 2023 Jul-Sep 01;38(3):E42-E49. doi: 10.1097/NCQ.0000000000000693. Epub 2023 Feb 24.
PMID: 36827597RESULT
MeSH Terms
Conditions
Study Officials
- STUDY DIRECTOR
Zhang lingjuan
Changhai Hospital Affiliated to Naval Medical University
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Purpose
- PREVENTION
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
April 14, 2023
First Posted
July 27, 2023
Study Start
July 19, 2023
Primary Completion
April 30, 2025
Study Completion
April 30, 2025
Last Updated
May 12, 2026
Record last verified: 2026-01
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP
- Time Frame
- Data sharing will be available from 12 months after the publication of the main results.
- Access Criteria
- 1.The data sharing will be only for the purposes of health and medical research and within the constraints of the consent under which the data were originally gathered. 2.The Custodian of the Collection will not consider any Proposals for data sharing that unblind, or potentially unblind, randomised comparisons in active / ongoing trials. 3.Requesters should be employees of a recognised academic institution, health service organisation, commercial research organisation or from the pharmaceutical industry. Requesters must have experience in medical research. 4.Requesters must be able to demonstrate through their peer review publications in the area of interest their ability to carry out the proposed use of the requested dataset from a Collection. 5.The Requesters must not have a conflict of interest that may potentially influence their interpretation of any analyses.
Individual, de-identified participant data used in these analyses will be shared by request from any qualified investigator following approval of a protocol and signed data access agreement via both the trial steering committee.