{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T22:40:24Z","timestamp":1792190424279,"version":"4.4.0"},"reference-count":29,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Mhealth Uhealth"],"abstract":"Abstract<\/jats:title>\n \n Background<\/jats:title>\n 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.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n 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.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n 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.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n 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.<\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n 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.<\/jats:p>\n <\/jats:sec>","DOI":"10.2196\/93146","type":"journal-article","created":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T13:55:05Z","timestamp":1787925305000},"page":"e93146-e93146","source":"Crossref","is-referenced-by-count":0,"title":["Insights on Postimplementation and Delivery of Telemedicine in Remote Areas of Rajasthan: Qualitative Study"],"prefix":"10.2196","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1239-3660","authenticated-orcid":false,"given":"Ramesh Kumar","family":"Huda","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6567-4979","authenticated-orcid":false,"given":"Rahul Singh","family":"Chowhan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4737-4638","authenticated-orcid":false,"given":"Sumit","family":"Kalra","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3127-4026","authenticated-orcid":false,"given":"Ramesh Kumar","family":"Sangwan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1017-1474","authenticated-orcid":false,"given":"Mukti","family":"Khetan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2026,10,16]]},"reference":[{"issue":"2","key":"R1","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1056\/NEJMra1601705","article-title":"State of telehealth","volume":"375","author":"Dorsey","journal-title":"N Engl J Med"},{"key":"R2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ceh.2023.12.002","article-title":"Post pandemic analysis on comprehensive utilization of telehealth and telemedicine","volume":"7","author":"Ndwabe","journal-title":"Clinical eHealth"},{"key":"R3","doi-asserted-by":"crossref","unstructured":"Mittal AK Patel M Dwivedi R et al. 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