Evidence map›Paper›PMID 42403723›Full record

ArticleCureus2026

Description of an App-Based Telerehabilitation Platform After Stroke in India (ATTEND-2) Using the Template for Intervention Description and Replication (TIDieR) Checklist.

Rinita Mascarenhas, Anuj G Nair, Mohammed Alfaz, Angel C Selvaraj, John M Solomon, Jeyaraj D Pandian, Dorcas Gandhi

Abstract read
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Rinita MascarenhasDepartment of Neurology, Christian Medical College & Hospital, Ludhiana, IND.
Anuj G NairDepartment of Neurology, Christian Medical College & Hospital, Ludhiana, IND.
Mohammed AlfazDepartment of Technology, Buildreams Technologies, Udupi, IND.
Angel C SelvarajDepartment of Neurology, Christian Medical College & Hospital, Ludhiana, IND.
John M SolomonDepartment of Physiotherapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, IND.
Jeyaraj D PandianDepartment of Neurology, Christian Medical College & Hospital, Ludhiana, IND.
Dorcas GandhiDepartment of Physiotherapy, Christian Medical College & Hospital, Ludhiana, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke rehabilitation in India is challenged by shortages of rehabilitation professionals and limited access to structured post-discharge care, particularly in rural settings. Although family-led rehabilitation approaches have demonstrated feasibility in increasing therapy engagement, there remains a need for scalable systems that support continuity, monitoring, and accessibility of rehabilitation services. ATTEND-2 was developed as a culturally contextualized, app-based telerehabilitation platform to support post-stroke upper limb rehabilitation in resource-constrained settings. This study aimed to describe the ATTEND-2 intervention using the Template for Intervention Description and Replication (TIDieR) checklist. The intervention was systematically developed through stakeholder engagement involving stroke survivors, caregivers, physiotherapists, neurologists, and software developers. The updated Consolidated Framework for Implementation Research (CFIR) domains were applied to characterize implementation determinants influencing adoption and scalability within the Indian health system. The resulting intervention supports remote supervision, structured exercise prescription, and adherence monitoring within Indian home environments. CFIR-guided analysis identified key facilitators for scalability, including adaptability across urban and rural settings, compatibility with task-sharing approaches, and alignment with India's evolving digital health ecosystem. ATTEND-2 represents an evidence-informed telerehabilitation intervention designed to strengthen access to post-stroke upper limb rehabilitation. Structured reporting using TIDieR-telehealth and CFIR enhances transparency, reproducibility, and future feasibility and effectiveness evaluation.

Indexed as

contextualizationindiastroke rehabilitationtelerehabilitationupper limb

Identifiers

PMID42403723
PMCPMC13333187

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LicenceCC BY
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Registered trials

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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.