TY - GEN
T1 - Enhancing Elderly Well-Being Through the Adoption of Medication Adherence System
AU - Tan, Booi Chen
AU - Pang, Suk Min
AU - Lau, Teck Chai
AU - Lo, Ying Tuan
AU - Tan, Andrew Huey Ping
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Adoption
KW - Elderly
KW - Medication adherence system
KW - TAM
UR - http://www.scopus.com/inward/record.url?scp=85187792353&partnerID=8YFLogxK
U2 - 10.1007/978-981-99-8498-5_9
DO - 10.1007/978-981-99-8498-5_9
M3 - Conference Proceeding
AN - SCOPUS:85187792353
SN - 9789819984978
T3 - Lecture Notes in Networks and Systems
SP - 109
EP - 127
BT - Advances in Intelligent Manufacturing and Robotics - Selected Articles from ICIMR 2023
A2 - Tan, Andrew
A2 - Zhu, Fan
A2 - Jiang, Haochuan
A2 - Mostafa, Kazi
A2 - Yap, Eng Hwa
A2 - Chen, Leo
A2 - Olule, Lillian J. A.
A2 - Myung, Hyun
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Intelligent Manufacturing and Robotics, ICIMR 2023
Y2 - 22 August 2023 through 23 August 2023
ER -
