Evidence map›Paper›PMID 42887018›Full record

ArticleJMIR mHealth and uHealth2026

Insights on Postimplementation and Delivery of Telemedicine in Remote Areas of Rajasthan: Qualitative Study.

Ramesh Kumar Huda, Rahul Singh Chowhan, Sumit Kalra, Ramesh Kumar Sangwan, Mukti Khetan

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 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
0cells of the map it votes in
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

5 authors.

Ramesh Kumar Huda *National Institute for Implementation Research on Non-Communicable Diseases, New Pali Road, Bhagat ki Kothi, Jodhpur, Rajasthan, 342005, India.ORCID http://orcid.org/0000-0002-1239-3660
Rahul Singh Chowhan *National Institute for Implementation Research on Non-Communicable Diseases, New Pali Road, Bhagat ki Kothi, Jodhpur, Rajasthan, 342005, India.ORCID http://orcid.org/0000-0001-6567-4979
Sumit KalraIndian Institute of Technology Jodhpur, Jodhpur, Rajasthan, India.ORCID http://orcid.org/0000-0002-4737-4638
Ramesh Kumar SangwanNational Institute for Implementation Research on Non-Communicable Diseases, New Pali Road, Bhagat ki Kothi, Jodhpur, Rajasthan, 342005, India.ORCID http://orcid.org/0000-0002-3127-4026
Mukti KhetanNational Institute for Implementation Research on Non-Communicable Diseases, New Pali Road, Bhagat ki Kothi, Jodhpur, Rajasthan, 342005, India.ORCID http://orcid.org/0000-0002-1017-1474

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Telemedicine has emerged as a critical strategy to address health care access gaps in hard-to-reach areas, particularly in resource-constrained settings. While telemedicine services have expanded across India, evidence on post-implementation experiences, specifically regarding the integration of portable diagnostic tools, and the assisting role of frontline health care workers, remains limited. Understanding these sociotechnical dynamics is essential for optimizing digital health interventions in remote areas. Objective: This study aimed to explore perceptions, experiences, and implementation processes of an assisted telemedicine model where frontline health care workers facilitate real-time, doorstep patient-assisted-to-doctor consultations using portable diagnostics and a customized portal among health care workers and patients in hard-to-reach villages of Rajasthan, India. Methods: A qualitative descriptive study was conducted in 5 remote villages of Balotra district, Rajasthan, between December 2025 and January 2026, following a 10-month telemedicine intervention. In-depth, semistructured interviews were conducted with 28 participants, including medical officers (n=3, 10.71%), nurses, and accredited social health activists or auxiliary nurse midwives (n=10, 35.71%), and patients (n=15, 53.57%). Cadre-specific semistructured interview guides were developed using the Consolidated Framework for Implementation Research and Technology Acceptance Model. Interviews were analyzed using a reflexive thematic analysis approach, incorporating both inductive and deductive coding approaches in NVivo 15 (Lumivero). Triangulation across participant groups and analytic perspectives was used to enhance credibility and trustworthiness. Results: The analysis revealed that the assisted telemedicine model fundamentally reconfigured treatment-seeking behavior by providing doorstep care, significantly reducing travel burdens, and out-of-pocket expenditures. Frontline health care workers acted as crucial sociotechnical mediators, bridging the digital divide and fostering patient trust, particularly among women and older adults. Health care providers reported increased clinical confidence and workflow efficiency, supported by real-time vital monitoring and cross-verification via digital chatbots. However, implementation was challenged by intermittent network connectivity, diagnostic limitations for conditions requiring physical palpation, and occasional stock-outs of essential medicines. Despite these barriers, the gradual acceptance of the system was heavily facilitated by the continuous engagement and cultural mediation of local health workers. Conclusions: Telemedicine was perceived as a feasible and acceptable model for extending primary health care services in hard-to-reach areas, provided it is embedded within an assisted model supported by trained frontline workers and responsive technical systems. The findings emphasize the need to shift health care policy toward mediated-digital models, formally recognizing community health workers as digital health navigators. Future scale-up must prioritize strengthening rural digital infrastructure and ensuring a reliable supply chain for essential medicines to sustain long-term engagement and health equity.

Indexed as

TelemedicineAdultDigital HealthFemaleHumansIndiaInterviews as TopicMaleMiddle AgedQualitative Researchdigital healthimplementation researchmedical informaticspatient perspectivesrural health caretelemedicine

Identifiers

PMID42887018
PMCPMC13675000

What OpenQuestion holds

Textmetadata
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.