- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05963828
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
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Stroke is the leading cause of death among residents in China, with the characteristics of high morbidity, high mortality, high disability rate, high recurrence rate and so on, which brings huge economic burden to the patients' families and society. Strengthening the comprehensive management of the high-risk population of stroke, improving the medication compliance of patients and the control rate of stroke risk factors play a key role in reducing stroke recurrence.
This study is a multicenter, prospective, randomized, single-blind study, which aims to use the tool of WeChat Mini Programs to realize the post-hospital follow-up management of the high-risk population of stroke. The follow-up time is 12 months. The main measurement result was the change of patients' medication compliance after comprehensive management.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
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Shanghai Municipality
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Shanghai, Shanghai Municipality, China, 200433
- Changhai Hospital
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- 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).
Exclusion Criteria:
- 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.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
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Other: conventional care group
Patients are managed according to the conventional methods after enrollment.
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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.
|
|
Experimental: Social network-based intervention group
Patients are managed according to to the integrated digital platform
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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.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Good Medication Adherence to all guideline-recommended vascular prevention medications at 12 months post-discharge
Time Frame: 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 Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Proportion of good medication adherence to stroke prevention drugs post-discharge
Time Frame: 1 month, 3 months, 6 months and 12 months post-discharge
|
Assessed using the Morisky-8 Medication Adherence Scale [MMAS-8].
Good adherence is defined as an MMAS-8 score greater than 6.The lowest score is 0, and the highest score is 8.
A higher score indicates better adherence.
|
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.
Time Frame: 1 month, 3 months, 6 months and 12 months post-discharge
|
The method of measurement is as follows: Blood lipids(mmol/L): fasting blood sampling measurement Blood glucose(mmol/L): fasting fingertip blood glucose Blood pressure(mmHg): using a sphygmomanometer to measure BMI (kg/m ^ 2): weight(kg) / height (m ^ 2) Waist circumference(cm), Hip circumference(cm), Smoking: Patient self-report |
1 month, 3 months, 6 months and 12 months post-discharge
|
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Health-related quality of life (HRQoL)
Time Frame: 1 month, 3 months, 6 months and 12 months post-discharge
|
Assessed using the EuroQol Five-Dimension Five-Level Scale (EQ-5D-5L),including visual analog scale (score range of 0-100, higher score indicates better health status) and utility score (score range of[ -0.391,1], higher score indicates better quality of life for patients)
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1 month, 3 months, 6 months and 12 months post-discharge
|
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Anxiety symptom severity
Time Frame: 1 month, 3 months, 6 months and 12 months post-discharge
|
assessed using the 7-item Generalized Anxiety Disorder Scale (GAD-7),the score range is 0-21 points, with higher scores indicating greater levels of anxiety.
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1 month, 3 months, 6 months and 12 months post-discharge
|
|
Depressive symptom severity
Time Frame: 1 month, 3 months, 6 months and 12 months post-discharge
|
Assessed using the 9-item Patient Health Questionnaire (PHQ-9),the score range is 0-27 points, with higher scores indicating more severe depression.
|
1 month, 3 months, 6 months and 12 months post-discharge
|
|
Stroke prevention knowledge scores
Time Frame: 1 month, 3 months, 6 months and 12 months post-discharge
|
Assessed using the Stroke Prevention Knowledge Questionnaire,the score range is 0-36 points, with higher scores indicating better mastery of stroke related knowledge.
|
1 month, 3 months, 6 months and 12 months post-discharge
|
|
Personal motivation for stroke prevention
Time Frame: 1 month, 3 months, 6 months and 12 months post-discharge
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Assessed using the Stroke Attitude Questionnaire,the total score is the sum of 16 items, and the higher the score, the better the cognitive attitude.
|
1 month, 3 months, 6 months and 12 months post-discharge
|
|
Perceived social support
Time Frame: 1 month, 3 months, 6 months and 12 months post-discharge
|
Assessed using the Perceived Social Support Scale (PSSS),there are a total of 12 items, with each item assigned a score of 1-7, for a total score of 12-84.
The higher the score, the higher the individual's level of social support.
|
1 month, 3 months, 6 months and 12 months post-discharge
|
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Stroke prevention-related health behavior scores
Time Frame: 1 month, 3 months, 6 months and 12 months post-discharge
|
Assessed using the Stroke Prevention Health Behavior Scale,the scale consists of 25 items and uses the Likert 4-point scoring method.
The higher the total score, the higher the level of healthy behavior.
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1 month, 3 months, 6 months and 12 months post-discharge
|
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Self-efficacy for chronic disease management
Time Frame: 1 month, 3 months, 6 months and 12 months post-discharge
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Assessed using the Chronic Disease Self-Efficacy Scale,the scale consists of 6 items, with each item rated on a scale of 1-10.
The average score is taken, and the higher the average score, the stronger the self-efficacy.
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1 month, 3 months, 6 months and 12 months post-discharge
|
|
Intentions regarding prehospital delay in stroke emergency care
Time Frame: 1 month, 3 months, 6 months and 12 months post-discharge
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Assessed using the Prehospital Delay Behavior Intention Scale for Stroke,the scale consists of 27 items and uses the Likert 5-point scoring method, with a score range of 27-135 points.
The higher the score, the stronger the intention and likelihood of delaying medical treatment.
|
1 month, 3 months, 6 months and 12 months post-discharge
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Incidence of major adverse cerebrovascular and cardiovascular events (MACCE)
Time Frame: 1month, 3months, 6months and 12-months post-discharge
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Including stroke, acute coronary syndrome, and vascular death
|
1month, 3months, 6months and 12-months post-discharge
|
Collaborators and Investigators
Sponsor
Investigators
- Study Director: Zhang lingjuan, Changhai Hospital Affiliated to Naval Medical University
Publications and helpful links
General Publications
- Kroenke 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.
- Spitzer 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.
- Kamal 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.
- Morisky 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.
- Lorig 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.
- Glader 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.
- Turan 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.
- Zhang 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.
- Benjamin 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.
- GBD 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.
- Morawski 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.
- 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
- Bridgwood 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.
- Chen, 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.
- National 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.
- Labarthe 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.
- Chen, 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.
- Kim 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.
- Ranganai 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.
- He, S. (2017). Development of a medication reminder app and its study on improving medication adherence [Master's thesis/Doctoral dissertation]. Anhui Medical University.
- Li, 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.
- Akhu-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.
- Yap 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.
- Lee 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.
- Zhao 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.
- Li-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.
- Zimet, 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.
- Bei-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.
- Wan 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.
- EuroQol Research Foundation. EQ-5D-5L User Guide, Version 4.0[EB/OL]. (2025-08).
- Li 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.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- COMPLIANCE-MT
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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