Babu Veena, Sylaja P N, Soman Biju, Varma Ravi Prasad, Manju M S, Geethu G L, Kumar B Suresh
Comprehensive Stroke Care Program, Department of Neurology, Sree Chitra Tirunal Institute of Medical Science and Technology, Thiruvananthapuram, Kerala, India.
Department of Neurology, Sree Chitra Tirunal Institute of Medical Science and Technology, Thiruvananthapuram, Kerala, India.
Ann Indian Acad Neurol. 2022 Nov-Dec;25(6):1153-1158. doi: 10.4103/aian.aian_836_22. Epub 2022 Dec 3.
In LMICs, the medication adherence and risk factor control are suboptimal in the post-stroke follow-up period. With shortage of physicians, smartphone-based interventions can help stroke survivors in secondary stroke prevention.
We aim to validate a digital innovative technology-based intervention to improve the awareness, medication adherence, control of risk factors through timely intervention of physician among the stroke survivors.
MAMOR is a smartphone-based application to improve the stroke awareness by heath education materials, reminders to timely adherence of medication, alerts on control of risk factors, video files, and timely physician intervention. The study will involve development of the app using contextual research (Delphi qualitative method) followed by a randomized, single center, double arm-controlled trial with 1:1 assignment. The app will be evaluated over a period of 6 months with a target to enroll 192 participants. Process evaluation will be conducted. The sample size was calculated as 192, considering medication adherence of 43.8%, 20% increase in medication adherence by app, power of 80%, and 10% loss to follow-up.
The primary outcome will be medication adherence, changes in the lifestyle and behavioral and control of vascular risk factors. The secondary outcome will include vascular events and functional outcome.
This study will be one among the few studies for secondary prevention of stroke through digital technology innovation in LMICs with resource constraints. The evidences generated from this study will provide translational evidence for other similar settings for stroke survivors.
在低收入和中等收入国家(LMICs),中风后随访期间的药物依从性和危险因素控制情况欠佳。由于医生短缺,基于智能手机的干预措施有助于中风幸存者进行二级预防。
我们旨在验证一种基于数字创新技术的干预措施,以提高中风幸存者的认知度、药物依从性,并通过医生的及时干预来控制危险因素。
MAMOR是一款基于智能手机的应用程序,通过健康教育材料、药物按时服用提醒、危险因素控制警报、视频文件以及医生的及时干预来提高中风认知度。该研究将包括使用情境研究(德尔菲定性方法)开发应用程序,随后进行一项随机、单中心、双臂对照试验,分配比例为1:1。该应用程序将在6个月的时间内进行评估,目标是招募192名参与者。将进行过程评估。考虑到药物依从性为43.8%,应用程序使药物依从性提高20%,检验效能为80%,随访失访率为10%,计算出样本量为192。
主要结局将是药物依从性、生活方式和行为的改变以及血管危险因素的控制。次要结局将包括血管事件和功能结局。
本研究将是在资源有限的低收入和中等收入国家通过数字技术创新进行中风二级预防的少数研究之一。本研究产生的证据将为中风幸存者的其他类似情况提供转化证据。