Effectiveness of Virtual Baithak, an mHealth intervention to improve eye health literacy for the older adults in India: a protocol for a randomised controlled trial

虚拟拜塔克(Virtual Baithak)作为一种移动医疗干预手段,旨在提高印度老年人的眼健康素养,其有效性研究:一项随机对照试验方案

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Abstract

INTRODUCTION: Settings with insufficient human resources struggle to provide timely eye care services and information to the population. mHealth (mobile healthcare) is a promising solution; however, evidence on the effectiveness of interactive voice response (IVR) and real-time phone-based education remains scarce, despite their potential to be scalable and cost-effective. This study aims to implement the Virtual Baithak, an interactive mHealth platform, to improve eye-health literacy among older adults residing in rural India. The objectives are to (1) Develop and validate the Virtual Baithak for improving vision health and (2) Determine its effectiveness, feasibility and acceptability among the older adults. METHODS AND ANALYSIS: This 3-armed, parallel, randomised controlled trial of 14 months duration will enrol 381 older adults (aged 60 years and above). Participants will be blinded and randomly (computer-generated) assigned to either of the three groups based on the intervention for eye-health education they receive: both IVR and group calls moderated by a healthcare professional, only IVR and usual care. The two intervention arms will receive the information weekly over a 3-month period through the Virtual Baithak platform, which will be designed for this study using a participatory research approach to develop the content. The primary study outcomes are digital health literacy and vision health knowledge scores, measured at baseline and 14 months. The secondary outcomes include m-health technology acceptance and usage practices. A mixed-method process evaluation will be conducted to assess the intervention feasibility and implementation, including in-depth interviews with participants. The qualitative data will be thematically analysed to explore factors that promote or restrain the implementation. The inferential statistical quantitative analysis will be performed using linear mixed models. ETHICS AND DISSEMINATION: The study has been approved by the 'Institute Ethics Committee,' PGIMER, Chandigarh, India (PGI/IEC/2022/EIC000282 dated 18 February 2022). The results will be disseminated via presentations and/or publications at the national and international levels. TRIAL REGISTRATION NUMBER: CTRI/2023/02/049383, dated 1 February 2023.

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