Evidence map›Paper›PMID 42096708›Full record

ArticleJMIR infodemiology2026

Implementation and User Evaluation of the SANGYAN Digital Health Platform to Enhance Knowledge About COVID-19 and Other Health Conditions: Quasi-Experimental Study.

Ashish Joshi, Ashruti Bhatt, Surapaneni Krishna Mohan, Gunjan Malhotra, Doilyn Oliveira, Saravanavel Kalpana Revathi, Ashoo Grover

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

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ashish JoshiSchool of Public Health, University of Memphis, Robison Hall 3825 DeSoto Avenue, Memphis, TN, 38152, United States, 1 443 570-6018.ORCID 0000-0002-5376-9839
Ashruti BhattFoundation of Healthcare Technologies Society, Delhi, India.ORCID 0000-0003-1191-7191
Surapaneni Krishna MohanPanimalar Medical College Hospital & Research Institute, Chennai, India.ORCID 0000-0002-5204-5708
Gunjan MalhotraFoundation of Healthcare Technologies Society, Delhi, India.ORCID 0009-0001-1873-8586
Doilyn OliveiraFoundation of Healthcare Technologies Society, Delhi, India.ORCID 0000-0002-6672-4365
Saravanavel Kalpana RevathiFoundation of Healthcare Technologies Society, Delhi, India.ORCID 0009-0004-9372-9307
Ashoo GroverIndian Council of Medical Research, Delhi, India.ORCID 0000-0001-8027-8608

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The spread of misinformation during the COVID-19 pandemic highlighted the importance of evidence-based information. The SANGYAN podcast promotes evidence-based knowledge on health-related issues in multiple languages in a simple, cost-effective, and concise manner. This provides individuals access to the appropriate information in an accessible manner. Objective: The study's goal is to assess user preferences for health information on a digital health platform designed to address COVID-19 misinformation. Methods: SANGYAN was developed by integrating the principles of social cognitive theory and information processing theory. The SANGYAN podcast was created to promote the importance of evidence-based information in order to address the spread of misinformation. The study design was a quasi-experimental study; prior to introducing the SANGYAN podcast, participants' sociodemographic information was collected, and health literacy was assessed using the Rapid Estimate of Adult Literacy in Medicine, Revised scale. After listening to the podcast, participants were interviewed about its usability, and they completed the System Usability Scale and the Client Satisfaction Questionnaire - 8. Data were collected from a total of 500 participants, 250 each from the Rural Health Training Center and Panimalar Medical College Hospital & Research Institute. The participants were older than 18 years when they were included. Descriptive and bivariate analyses were performed. Results: A total of 500 participants were enrolled in the study, 50% (250/500) from rural areas and 50% (250/500) from urban areas. The majority of the participants were 45 years to 64 years old (155/500, 31%), were women (289/500, 57.8%), had poor health literacy (384/500, 76.8%), and had a high school education or less than a high school certification (241/500, 48.2%). The mean overall System Usability System score was 70.9 (SD 17.73), with those aged 18 years to 24 years having the highest mean score (81.2, SD 15.48). High user satisfaction was present, with 97.6% (487/499) obtaining the desired information from the platform. Conclusions: The study revealed that the SANGYAN podcast provides information to diverse individuals, as it is multilingual, and was found useful by the participants.

Indexed as

COVID-19Health Knowledge, Attitudes, PracticeHealth LiteracyAdolescentAdultAgedDigital HealthFemaleHumansMaleMiddle AgedSARS-CoV-2Surveys and QuestionnairesYoung Adultclient satisfactionclient satisfaction questionnaireCOVID-19digital health interventionevidence-basedhealth literacymisinformationpandemicpodcastREALM scaleSANGYAN podcastSARS-CoV-2SUSSystem Usability Scaleusabilityusability system

Identifiers

PMID42096708
PMCPMC13152227

What OpenQuestion holds

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LicenceCC BY
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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.