- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04082091
Screening, Early Referral and Lifestyle Tailored E_prescription for Cardiovascular Prevention (SELECT)
Screening, Early Referral and Lifestyle Tailored E_prescription for Cardiovascular Prevention in PakisTan(SELECT) - A Pilot Feasibility Study Using mHealth
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
The goal of this pilot study is to demonstrate feasibility of a scalable , population-wide, approach to early detection and management of people at high-risk of CVD using electronic screening, referral, treatment and lifestyle modification based on health theory and considerable background research for local applicability.
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.
Study Type
Enrollment (Anticipated)
Contacts and Locations
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- All adult (>18 years) residents of Malir district
- Own a mobile phone
- Provide written informed consent are eligible to participate
Exclusion Criteria:
- Not permanent residents of Malir district.
- 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
Study Plan
How is the study designed?
Design Details
- Observational Models: Ecologic or Community
- Time Perspectives: Prospective
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Health Service Delivery of Intervention Outreach via Short Text Messages
Time Frame: 3 to 6 months
|
The success rate in delivery of SMS intervention to target community 1. Number of SMS sent successfully to target Population |
3 to 6 months
|
|
Health Service Delivery of Intervention Outreach via Interactive Voice Recording
Time Frame: 3 to 6 months
|
Number of IVR ( Interactive Voice Recording ) sent to target Population
|
3 to 6 months
|
|
Health Service Measures of Intervention Uptake
Time Frame: 3 to 6 months
|
Proportion of referred participants enrolled in e_Prescription education program
|
3 to 6 months
|
|
Community Participation and Uptake of Intervention
Time Frame: 3 to 6 months
|
Number of participants responded to the IVR and SMS call
|
3 to 6 months
|
|
Early Impact Measure of Intervention for Prompt Referral
Time Frame: 3 to 6 months
|
Proportion of referred participants from screened participants referred
|
3 to 6 months
|
|
Early Impact Measure of Intervention for Detection
Time Frame: 3 to 6 months
|
Proportion of participants in each of risk strata (low, medium and high risk) as defined by the presence of stroke and/or MI ( High ), DM and / or HTN ( Medium), or poor lifestyle choices ( Low Risk) by the SELECT algorithm |
3 to 6 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in Physiological Characteristics of Intervention Participants - Blood Pressure
Time Frame: 0, 3 to 6 months
|
Mean difference in systolic and diastolic Blood Pressure before and after intervention in mm Hg.
|
0, 3 to 6 months
|
|
Change in Physiological Characteristics of Intervention Participants - Weight
Time Frame: 0, 3 to 6 months
|
Mean difference in weight before and after intervention in kg
|
0, 3 to 6 months
|
|
Change in Physiologic Characteristics of Intervention Participants- Height
Time Frame: 0, 3 to 6 months
|
Height in metres to determine Body Mass Index ( BMI )
|
0, 3 to 6 months
|
|
Change in Physiological Characteristics of Intervention Participants - BMI
Time Frame: 0, 3 to 6 months
|
Mean difference in BMI before and after intervention in kg/m2
|
0, 3 to 6 months
|
|
Change in Physiological Characteristics of Intervention Participants - Physical Activity
Time Frame: 0, 3 to 6 months
|
Increase in number of hours in physical activity from baseline (self-reported) measured by the IPAQ Short scale self reported version ( International Physical Activity Questionnaire) which will report low medium and high levels of physical activity based on 600 MET minutes /week ( Moderate),1500- 3000 MET minutes /week ( High), and low as any value less than the above.
|
0, 3 to 6 months
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Ayeesha Kamal, MD, Aga Khan University
Publications and helpful links
General Publications
- 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.
- 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.
- 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.
Study record dates
Study Major Dates
Study Start (Anticipated)
Primary Completion (Anticipated)
Study Completion (Anticipated)
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
Additional Relevant MeSH Terms
- Ischemia
- Pathologic Processes
- Necrosis
- Vascular Diseases
- Glucose Metabolism Disorders
- Metabolic Diseases
- Cerebrovascular Disorders
- Brain Diseases
- Central Nervous System Diseases
- Nervous System Diseases
- Endocrine System Diseases
- Diabetes Mellitus
- Brain Ischemia
- Stroke
- Brain Infarction
- Hypertension
- Infarction
- Cardiovascular Diseases
- Diabetes Mellitus, Type 2
- Cerebral Infarction
- Essential Hypertension
Other Study ID Numbers
- 2019-0599-2619
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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