Abstract
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 language | English |
|---|---|
| Title of host publication | Advances in Intelligent Manufacturing and Robotics - Selected Articles from ICIMR 2023 |
| Editors | Andrew Tan, Fan Zhu, Haochuan Jiang, Kazi Mostafa, Eng Hwa Yap, Leo Chen, Lillian J. A. Olule, Hyun Myung |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 109-127 |
| Number of pages | 19 |
| ISBN (Print) | 9789819984978 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | International Conference on Intelligent Manufacturing and Robotics, ICIMR 2023 - Suzhou, China Duration: 22 Aug 2023 → 23 Aug 2023 |
Publication series
| Name | Lecture Notes in Networks and Systems |
|---|---|
| Volume | 845 |
| ISSN (Print) | 2367-3370 |
| ISSN (Electronic) | 2367-3389 |
Conference
| Conference | International Conference on Intelligent Manufacturing and Robotics, ICIMR 2023 |
|---|---|
| Country/Territory | China |
| City | Suzhou |
| Period | 22/08/23 → 23/08/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Adoption
- Elderly
- Medication adherence system
- TAM
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