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Users’ Perception on Quality Medication Adherence Applications

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Advances on Intelligent Computing and Data Science (ICACIn 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 179))

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Abstract

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 users’ (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.

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Author information

Authors and Affiliations

  1. Computer and Information Sciences Department, Universiti Teknologi PETRONAS, Seri Iskandar, Perak, Malaysia

    Madihah Zainal, A. Izuddin Zainal-Abidin & Suziah Sulaiman

Authors
  1. Madihah Zainal
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  2. A. Izuddin Zainal-Abidin
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  3. Suziah Sulaiman
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Corresponding author

Correspondence to Madihah Zainal .

Editor information

Editors and Affiliations

  1. School of Computing and Digital Technology, Birmingham City University, Birmingham, UK

    Faisal Saeed

  2. Information Systems Department, School of Computing, Universiti Utara Malaysia (UUM), Sintok, Malaysia

    Fathey Mohammed

  3. Faculty of Sciences, University of Hassan II Casablanca, Casablanca, Morocco

    Errais Mohammed

  4. Department of Computing and Technology, Nottingham Trent University, Nottingham, UK

    Tawfik Al-Hadhrami

  5. College of Computer Science and Engineering, Taibah University, Medina, Saudi Arabia

    Mohammed Al-Sarem

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Zainal, M., Zainal-Abidin, A.I., Sulaiman, S. (2023). Users’ Perception on Quality Medication Adherence Applications. In: Saeed, F., Mohammed, F., Mohammed, E., Al-Hadhrami, T., Al-Sarem, M. (eds) Advances on Intelligent Computing and Data Science. ICACIn 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 179. Springer, Cham. https://doi.org/10.1007/978-3-031-36258-3_55

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