Screening, Early Referral and Lifestyle Tailored E_prescription for Cardiovascular Prevention
NCT ID: NCT04082091
Last Updated: 2019-09-09
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
2000 participants
OBSERVATIONAL
2019-09-30
2020-09-30
Brief Summary
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Detailed Description
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It is a mixed method, feasibility study based in Malir District of Karachi, the largest city in Pakistan, to demonstrate uptake, participation and response of our mHealth intervention.
Conditions
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Study Design
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ECOLOGIC_OR_COMMUNITY
PROSPECTIVE
Interventions
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SELECT mHealth Program
Individuals will be screened via the telephone, using a mobile-based algorithm that prompts questions about hypertension, risk of Diabetes Mellitus, use of smokeless tobacco and smoking, level of physical activity, and main nutritional choices. These questions are based on tools that have been validated in studies undertaken in this population and will be directly administered by trained research staff of Aga Khan University. Screening will prompt triage into three categories: "high" - referred to the conveniently located integrated medical center for a medical teleconsultation and fasting glucose test; "medium" - receive fasting glucose test and BP measurement; and "low" risk. All subjects in each category will be enrolled in an e\_Prescription intervention for lifestyle change tailored to their individual risk profile.
Eligibility Criteria
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Inclusion Criteria
* Own a mobile phone
* Provide written informed consent are eligible to participate
Exclusion Criteria
* A person who is decision impaired due to stroke, or aphasia or dementia .
* Serious cognitive deficits that impair the visualization or understanding of SMS, IVR and e\_prescription messages
18 Years
90 Years
ALL
Yes
Sponsors
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The George Institute
OTHER
Aga Khan University
OTHER
Responsible Party
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Dr. Ayeesha Kamran Kamal
Professor of Neurology, Department of Medicine
Principal Investigators
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Ayeesha Kamal, MD
Role: PRINCIPAL_INVESTIGATOR
Aga Khan University
Central Contacts
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References
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Jafar TH, Haaland BA, Rahman A, Razzak JA, Bilger M, Naghavi M, Mokdad AH, Hyder AA. Non-communicable diseases and injuries in Pakistan: strategic priorities. Lancet. 2013 Jun 29;381(9885):2281-90. doi: 10.1016/S0140-6736(13)60646-7. Epub 2013 May 17.
Kamal AK, Khoja A, Usmani B, Muqeet A, Zaidi F, Ahmed M, Shakeel S, Soomro N, Gowani A, Asad N, Ahmed A, Sayani S, Azam I, Saleem S. Translating knowledge for action against stroke--using 5-minute videos for stroke survivors and caregivers to improve post-stroke outcomes: study protocol for a randomized controlled trial (Movies4Stroke). Trials. 2016 Jan 27;17:52. doi: 10.1186/s13063-016-1175-x.
Mohan V, Deepa R, Deepa M, Somannavar S, Datta M. A simplified Indian Diabetes Risk Score for screening for undiagnosed diabetic subjects. J Assoc Physicians India. 2005 Sep;53:759-63.
Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, Oja P. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003 Aug;35(8):1381-95. doi: 10.1249/01.MSS.0000078924.61453.FB.
Khan M, Kamal AK, Islam M, Azam I, Virk A, Nasir A, Rehman H, Arif A, Jan M, Akhtar A, Mawani M, Razzak JA, Pasha O. Can trained field community workers identify stroke using a stroke symptom questionnaire as well as neurologists? Adaptation and validation of a community worker administered stroke symptom questionnaire in a peri-urban Pakistani community. J Stroke Cerebrovasc Dis. 2015 Jan;24(1):91-9. doi: 10.1016/j.jstrokecerebrovasdis.2014.07.030. Epub 2014 Oct 16.
Rahman MA, Spurrier N, Mahmood MA, Rahman M, Choudhury SR, Leeder S. Rose Angina Questionnaire: validation with cardiologists' diagnoses to detect coronary heart disease in Bangladesh. Indian Heart J. 2013 Jan-Feb;65(1):30-9. doi: 10.1016/j.ihj.2012.09.008. Epub 2012 Sep 12.
Other Identifiers
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2019-0599-2619
Identifier Type: -
Identifier Source: org_study_id
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