relation: https://khub.utp.edu.my/scholars/19153/ title: Usersâ�� Perception on Quality Medication Adherence Applications creator: Zainal, M. creator: Zainal-Abidin, A.I. creator: Sulaiman, S. description: Mobile application intervention has shown good capability in increasing adherence to medication by providing medication reminders and information. However, current studies showed inconsistent effects and limited evaluation of mobile intervention in improving medication adherence. Identifying the quality medication adherence applications based on the commercial apps available on the current operating platform is crucial to ensure the app's usefulness to the intended consumers. Several quality evaluations tools had been developed to determine the quality of the medication adherence app, however, most of the tools are executed by experts such as researchers, health care professionals, and mobile developers. Therefore, this paper proposes to explore the criteria of quality medication adherence application from the potential usersâ�� (patients) perspectives. This study explored potential quality criteria based on the existing literature. Potential users will be given a set of questionnaires based on the Medication Adherence Application Quality (MedAd-AppQ) tool. The finalized criteria of the quality medication adherence app will be determined based on the results from the survey. This study is conducted to provide insights into how the potential patients perceived quality medication adherence application. However, as this research targets to evaluate the medication adherence application developed for the use of patients, thus the app that is created for the health care professionals or clinicians may have different quality measurements based on their specifications. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. publisher: Springer Science and Business Media Deutschland GmbH date: 2023 type: Article type: PeerReviewed identifier: Zainal, M. and Zainal-Abidin, A.I. and Sulaiman, S. (2023) Usersâ�� Perception on Quality Medication Adherence Applications. Lecture Notes on Data Engineering and Communications Technologies, 179. pp. 623-638. ISSN 23674512 relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169063889&doi=10.1007%2f978-3-031-36258-3_55&partnerID=40&md5=0d132c112ab47b61c19063a4849e93a5 relation: 10.1007/978-3-031-36258-3₅₅ identifier: 10.1007/978-3-031-36258-3₅₅