Evidence map›Paper›PMID 41782840›Full record

ReviewFrontiers in digital health2025

Tele-rehabilitation in rural Nepal: a systematic review of effectiveness, barriers, and strategic directions for digital health equity.

Amrit Dhakal, Md Shahariar Chowdhury

Abstract readReview
In one paragraph

Review in Frontiers in digital health, 2025. 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. Article
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

2 authors.

Amrit DhakalFaculty of Environmental Management, Prince of Songkla University, Songkhla, Thailand.
Md Shahariar ChowdhuryFaculty of Environmental Management, Prince of Songkla University, Songkhla, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Access to rehabilitation services in many low-and middle-income countries (LMICs) is still very unequal, especially for people living in rural or remote areas. Distance, cost, weak infrastructure, and limited digital access make it difficult for patients to receive the care they need. Tele-rehabilitation, which means providing rehabilitation support through online or digital tools, has the potential to reduce these gaps. This review brings together current evidence on how well tele-rehabilitation works in LMICs, with special attention to rural Nepal. Using the PRISMA 2020 guidelines, this study focused on major databases from 2010 to 2024 and selected 28 relevant studies, including clinical trials, cohort studies, and qualitative research. Overall, the results show that tele-rehabilitation can provide benefits similar to traditional in-person care, especially for stroke, musculoskeletal problems, and neurodevelopmental conditions. Several challenges were identified, such as weak internet networks, low digital skills, limited access for women, and lack of supportive policies. At the same time, important strengths were also seen, including increasing mobile phone use, blended service models, culturally tailored applications, and support from community-based digital helpers. Using behavioral science models-such as TAM, HBM, and DOI-the review shows that people are more likely to use tele-rehabilitation when they feel it is useful, easy to manage, supported by their community, and when they can clearly see the benefits. For Nepal, integrating tele-rehabilitation into the national e-health plan, improving digital access, and designing services that fit local needs will be crucial. Finally, results highlights that tele-rehabilitation, when guided by practical theories and local realities, can play a major role in improving fair access to rehabilitation care in rural LMICs.

Indexed as

behavioral modelsdigital healthLMICsNepalrural health equitytele-rehabilitation

Identifiers

PMID41782840
PMCPMC12953445

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.