Evidence map›Paper›PMID 36911480›Full record

ArticleAnnals of Indian Academy of Neurology

Medication-Adherence and Management of Risk Factors for Secondary Prevention of Stroke Using Smartphone-Based Application: Protocol for MAMORs-Randomized Controlled Trial.

Veena Babu, P N Sylaja, Biju Soman, Ravi Prasad Varma, M S Manju, G L Geethu, B Suresh Kumar

Abstract read
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Article in Annals of Indian Academy of Neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Neighborhood socio-demographic profile associated with adequate transitions of stroke care: The transitions of care stroke disparities study.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2025
    Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Veena BabuComprehensive Stroke Care Program, Department of Neurology, Sree Chitra Tirunal Institute of Medical Science and Technology, Thiruvananthapuram, Kerala, India.
P N SylajaDepartment of Neurology, Sree Chitra Tirunal Institute of Medical Science and Technology, Thiruvananthapuram, Kerala, India.
Biju SomanAchutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India.
Ravi Prasad VarmaAchutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India.
M S ManjuDepartment of Neurology, Sree Chitra Tirunal Institute of Medical Science and Technology, Thiruvananthapuram, Kerala, India.
G L GeethuDepartment of Neurology, Sree Chitra Tirunal Institute of Medical Science and Technology, Thiruvananthapuram, Kerala, India.
B Suresh KumarComputer Division, Sree Chitra Tirunal Institute of Medical Science and Technology, Thiruvananthapuram, Kerala, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: 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. Objectives: 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. Methods: 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. Results: 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. Conclusion: 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.

Indexed as

Medication adherencerisk factorssecondary preventionstroke

Identifiers

PMID36911480
PMCPMC9996505

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.