eHEALS.com.br: Automating Digital Health Literacy Assessment and Personalized Feedback in Brazil
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Abstract
This paper describes eHEALS.com.br, a web-based platform that automates the administration of the Brazilian eHealth Literacy Scale (eHEALS-Br). The system collects responses online, scores users in real time, and provides personalized feedback based on five levels of digital health literacy. A systematic literature review was conducted to map existing instruments and identify gaps related to automation, temporal control, and inclusion. The platform architecture combines a React and TypeScript frontend with a Node.js and MongoDB backend, deployed on a secure virtual private server. In a pilot study with 12 participants, the automated eHEALS-Br scale demon-strated excellent internal consistency (Cronbach’s alpha = 0.929), and additional questionnaire dimensions also showed good reliability. The results demonstrate the feasibility of automating eHEALS-Br, supporting both population studies and individualized clinical use, and reinforcing the potential of digital health tools for monitoring and improving health literacy in Brazil.Keywords
This publication has 21 references indexed in Scilit:
- Psychometric evaluation of the Persian version of the European Health Literacy Instrument (P-HLS-EU-Q47)Health Promotion International, 2023
- Psychometric properties of the Brazilian version of the European Health Literacy Survey Questionnaire short formHealth Promotion International, 2022
- PRISMA2020 : An R package and Shiny app for producing PRISMA 2020‐compliant flow diagrams, with interactivity for optimised digital transparency and Open SynthesisCampbell Systematic Reviews, 2022
- Usability, accessibility and ambient-assisted living: a systematic literature reviewUniversal Access in the Information Society, 2013
- The 14-item health literacy scale for Japanese adults (HLS-14)Environmental Health and Preventive Medicine, 2013
- Comment: On Respondent-Driven Sampling and Snowball Sampling in Hard-to-Reach Populations and Snowball Sampling Not in Hard-to-Reach PopulationsSociological Methodology, 2011
- When designing usability questionnaires, does it hurt to be positive?2011
- Likert scales, levels of measurement and the “laws” of statisticsAdvances in Health Sciences Education, 2010
- Perceptions of Traditional Information Sources and Use of the World Wide Web to Seek Health Information: Findings From the Health Information National Trends SurveyJournal of Health Communication, 2007
- Sampling hard to reach populationsJournal of Advanced Nursing, 1997