Enhancing Elderly Well-Being Through the Adoption of Medication Adherence System

Booi Chen Tan, Suk Min Pang, Teck Chai Lau, Ying Tuan Lo*, Andrew Huey Ping Tan

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review


In Malaysia, building and maintaining healthy ageing has become a significant focus given the increasing ageing population as well as longer human life span. It is important to monitor and assess medication adherence behaviour especially among the elderly to improve their health outcomes and to avoid medical non-adherence. As a result, researchers have started investigating technology-driven approaches to enhance medication adherence. However, there is a lack of research regarding the willingness of the elderly to accept and adopt these technologies. Although the Technology Acceptance Model (TAM) has been used to forecast technology usage in various studies, its application in the context of elderly individuals’ adoption of medication adherence systems remains relatively unexplored. Consequently, the objective of this study is to assess the factors that influence the elderly’s desire to use a medication adherence system by expanding TAM to include perceived risk, trust, health awareness, perceived behavioural control, attitudes, and subjective norm. Only attitudes and subjective norms have a favourable impact on the elderly's propensity to use a medication adherence system, according to the findings. The study's significant discoveries and proposed recommendations for future will contribute significantly to Malaysia's efforts in promoting and maintaining a thriving elderly population.

Original languageEnglish
Title of host publicationAdvances in Intelligent Manufacturing and Robotics - Selected Articles from ICIMR 2023
EditorsAndrew Tan, Fan Zhu, Haochuan Jiang, Kazi Mostafa, Eng Hwa Yap, Leo Chen, Lillian J. A. Olule, Hyun Myung
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages19
ISBN (Print)9789819984978
Publication statusPublished - 2024
EventInternational Conference on Intelligent Manufacturing and Robotics, ICIMR 2023 - Suzhou, China
Duration: 22 Aug 202323 Aug 2023

Publication series

NameLecture Notes in Networks and Systems
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


ConferenceInternational Conference on Intelligent Manufacturing and Robotics, ICIMR 2023


  • Adoption
  • Elderly
  • Medication adherence system
  • TAM


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