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Enhancing Elderly Care through Health Data Innovation: Developing a Mobile Application for Seniors

Year: 2025
Type: article
Study design: Observational Study
Abstract: In an environment where the number of older individuals is increasing, innovative solutions for their independent living and improved quality of life are essential. This study assessed the health status, care needs, and technological features necessary to develop a mobile health application for the ageing population. Using a mixed-methods approach, the study collected quantitative data from 420 elderly respondents through structured questionnaires that covered demographic information, health conditions, and technology usage. Qualitative data were collected from 40 participants through in-depth interviews to gain a deeper understanding of the health experiences of the elderly and their concerns regarding digital interventions. Descriptive statistics were used to analyse the data. The majority of respondents were female (71.4%), with an average age of 69 (61.3%), and reported their health as relatively good. Additionally, 56.8% experienced at least one health problem. Most participants expressed a need for memory training and health information, including basic routine healthcare and self-monitoring of their health. Although these elderly participants sought to engage with technologies, they had usability concerns, which were identified as a key aspect to be addressed. The qualitative information revealed that the development of mobile applications should be designed to 1) monitor daily activities, provide health parameters, and notify the users of emergencies, and 2) connect older individuals to their family members, caregivers, health experts, and the community via a user-friendly interface that prioritises user-centred design and data security. This application not only ensures the safety of the elderly but also enhances their mental well-being.
Authors: Auschala Chalayonnavin, Mahesh Pandurang Chougule, Sorasich Swangslip
Language: English
Subfield: Demography
Open Access status: gold
Estimated APC paid: $367
OpenAlex ID: W4414543390
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