ArticleAnnals of Indian Academy of Neurology
Systematic Development of Structured Semi-interactive Stroke Prevention Package for Secondary Stroke Prevention.
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 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- Comparison of primary and secondary stroke outcomes between government and private healthcare institutions: insights from the SPRINT India trial.Frontiers in stroke · 2026Trial
- Development of a multimodal health education module for dementia prevention in at-risk rural Indian elders: a SMRUTHI INDIA initiative.Frontiers in dementia · 2026Trial
- Personalized Video-Based Educational Platform to Improve Stroke Knowledge: A Randomized Clinical Trial.Journal of the American Heart Association · 2024Trial
- Secondary prevention by structured semi-interactive stroke prevention package in INDIA (SPRINT INDIA): Findings from the process evaluation of a randomized controlled trial.European stroke journal · 2023Trial
- Lessons learned from qualitative fieldwork in a multilingual setting.Qualitative research in medicine & healthcare · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors at 9 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLack of compliance to medication and uncontrolled risk factors are associated with increased risk of recurrent stroke and acute coronary syndrome in patients with recent stroke. Multimodal patient education may be a strategy to improve the compliance to medication and early adoption of nonpharmacological measures to reduce the vascular risk factor burden in patients with stroke. We thus aim to develop multilingual short messaging services (SMS), print, and audio-visual secondary stroke prevention patient education package. The efficacy of the package will be tested in a randomized control trial to prevent major cardiovascular and cerebrovascular events.
methodsIn the
resultsSixty-nine SMS, six videos, and workbook with 11 chapters with 15 activities were developed in English language with a mean ± SD SMOG index of 9.1 ± 0.4. A total of 355 stakeholders including patients (24.8%), caregivers (24.8%), doctors (10.4%), nurses (14.1%), local language experts (2.8%), physiotherapists (13.2%), and research coordinators (9.8%) participated in 10 acceptability stage meetings. The mean Patient Education Material Assessment Tool understandability score in all languages for SMS, video scripts, and workbook was 95.2 ± 2.6%, 95.2 ± 4.4%, and 95.3 ± 3.6%, respectively. The patients [
conclusionAn implementable complex multilingual patient education material could be developed in a stepwise manner. The efficacy of the package to prevent major adverse cardiovascular events is being tested in the SPRINT INDIA study.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.