Objective - This research aimed to understand the factors influencing the use of Internet of Things (IoT) healthcare solutions by elderly patients with non-communicable diseases (NCDs) in Malaysia, utilising the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and the Health Belief Model (HBM) as guides for the study.

Methodology/Technique - A sample of 30 respondents aged 60 years and older participated in the pilot survey, which was conducted using a structured questionnaire on a Likert-type scale. The data analysis was performed using the Statistical Package for Social Sciences (SPSS) version 28 to conduct descriptive statistics, frequency analyses, and reliability analyses to assess instrument consistency.

Findings - Performance impact, trust, and task-technology fit were the most significant drivers of IoT adoption, while social influence and facilitating conditions played a minimal role. The results indicated that age, patients' preferences for tangible health, low benefit-centredness, user-friendliness, and data security, compared to source-based encouragement or infrastructure support.

Novelty - The novelty of this study lies in the utilisation of UTAUT2 and HBM guidelines to examine IoT adoption among elderly NCD patients in Malaysia, an area that has been largely understudied in digital health. This study also provided a potential customised application for an IoT healthcare system to aid disease control among the elderly.

Type of Paper - Empirical

Keywords: IoT healthcare, Elderly patients, Non-communicable diseases, Technology adoption, UTAUT2, Health Belief Model.

JEL Classification: O14, O33.

URI: https://gatrenterprise.com/GATRJournals/JMMR/vol10.4_1.html

DOI: https://doi.org/10.35609/jmmr.2025.10.4(1)

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