Public perspectives on digital innovations in pharmacy: A survey on health informatics and medication management

Anas Ali Alhur, Shaden Alotaibi, Daniyah Alhalwani, Rahaf Eisa, Shahad Alshahrani, Manar Alqurashi, Layan Alhamyani, Joud Al-bogami, Shuruq Alshalawi, Nidaa Alhumaidi, Noura Abusahba, Samah Alqurashi, Ahlam Althobaiti, Sara Alblwi, Mashael Asiri

Article ID: 5450
Vol 8, Issue 8, 2024

VIEWS - 152 (Abstract) 85 (PDF)

Abstract


This study investigates the public’s perceptions of digital innovations in pharmacy, with a focus on health informatics and medication management. Despite the rapid development of these technologies, a comprehensive understanding of how various demographics perceive and interact with them is lacking hence, this research aims to bridge this gap by offering insights into public attitudes and the factors influencing the adoption of digital tools in pharmacy practice, as KSA population and healthcare professionals after Covid-19 has observed the significant potential of digital health. A cross-sectional survey involving 1132 participants was conducted, employing SPSS for data analysis to ensure precise and reliable results. The findings indicate general optimism about the potential of digital innovations to enhance healthcare outcomes but concerns about data privacy and usability significantly affect user acceptance. The researchers recommended tailored educational programs and user-centered design to facilitate the adoption of digital pharmacy innovations. Key contributions include the identification of ‘Ease of Use’ and ‘Data Security and Privacy’ as predominant factors in the adoption of digital health tools.


Keywords


digital pharmacy innovations; public perceptions; health informatics; medication management; digital health adoption; data privacy; user-centered design; cluster analysis

Full Text:

PDF


References


Ahmed, I., Ahmad, N. S., Ali, S., et al. (2018). Medication Adherence Apps: Review and Content Analysis. JMIR MHealth and UHealth, 6(3), e62. https://doi.org/10.2196/mhealth.6432

Ahmad, W. M. A. W., Rohim, R. A. A., Norhayati, Y., et al. (2018). Developing A New Dimension of an Applied Exponential Model: Application in Biological Sciences. Engineering, Technology & Applied Science Research, 8(4), 3130–3134. https://doi.org/10.48084/etasr.2124

Alanazi, M., Soh, B. (2019). Behavioral Intention to Use IoT Technology in Healthcare Settings. Available online: https://pdfs.semanticscholar.org/2c44/3d4c170b7ac8c24df987ccb3f47510911fff.pdf (accessed on 25 March 2024).

Alhur, A. (2022). Exploring Saudi Arabia Individuals’ Attitudes toward Electronic Personal Health Records. Journal of Computer Science and Technology Studies, 4(1), 80–87. https://doi.org/10.32996/jcsts.2022.4.1.10

Alhur, A. (2024). Overcoming Electronic Medical Records Adoption Challenges in Saudi Arabia. Cureus. https://doi.org/10.7759/cureus.53827

Alhur, A. (2024). Redefining Healthcare With Artificial Intelligence (AI): The Contributions of ChatGPT, Gemini, and Co-pilot. Cureus. https://doi.org/10.7759/cureus.57795

Alhur, A. A. (2023). Public Health Informatics: The Importance of COVID-19 Dashboard in KSA. Journal of Health Sciences and Medical Development, 2(02), 64–79. https://doi.org/10.56741/hesmed.v2i02.324

Alhur, A. A., Aldhafeeri, M. D., Alhur, A. A., Alghamdi, S. E. (2023). Telemental health and artificial intelligence: knowledge and attitudes of Saudi Arabian individuals towards AI-integrated telemental health. Journal of Population Therapeutics and Clinical Pharmacology, 30(17), 1993–2009.

Alhur, A., Al Shahrani, F., Alasiri, K., et al. (2024). Promoting Dental Health Through Teledentistry: Assessing Awareness and Attitudes in Saudi Arabia. Cureus. https://doi.org/10.7759/cureus.55805

Alhur, A., & Aldosari, B. (2024). Strengths and Obstacles of Health Informatics and Health Information Management Education and Professions in Hail City, Kingdom of Saudi Arabia: A Qualitative Study. Cureus. https://doi.org/10.7759/cureus.52619

Ali Alhur, A. (2023). Public Health Informatics: The Importance of Covid-19 Dashboard in KSA for Sharing and Visualizing Health Information. Journal of Information Systems and Digital Technologies, 5(1), 43–59. https://doi.org/10.31436/jisdt.v5i1.344

Beets, B., Newman, T. P., Howell, E. L., et al. (2023). Surveying Public Perceptions of Artificial Intelligence in Health Care in the United States: Systematic Review. Journal of Medical Internet Research, 25, e40337. https://doi.org/10.2196/40337

Bennadi, D. (2014). Self-medication: A current challenge. Journal of Basic and Clinical Pharmacy, 5(1), 19. https://doi.org/10.4103/0976-0105.128253

Campos-Castillo, C., & Anthony, D. (2019). Situated Trust in a Physician: Patient Health Characteristics and Trust in Physician Confidentiality. The Sociological Quarterly, 60(4), 559–582. https://doi.org/10.1080/00380253.2018.1547174

Dayer, L., Heldenbrand, S., Anderson, P., et al. (2013). Smartphone medication adherence apps: Potential benefits to patients and providers. Journal of the American Pharmacists Association, 53(2), 172–181. https://doi.org/10.1331/japha.2013.12202

Deslich, S., Stec, B., Tomblin, S., Coustasse, A. (2013). Telepsychiatry in the 21st century: transforming healthcare with technology. Available online: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3709879/ (accessed on 4 May 2024).

Dhagarra, D., Goswami, M., & Kumar, G. (2020). Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective. International Journal of Medical Informatics, 141, 104164. https://doi.org/10.1016/j.ijmedinf.2020.104164

Erturk, E., & Jyoti, K. (2015). Perspectives on a Big Data Application: What Database Engineers and IT Students Need to Know. Engineering, Technology & Applied Science Research, 5(5), 850–853. https://doi.org/10.48084/etasr.592

Figueroa, C. A., Murayama, H., Amorim, P. C., et al. (2022). Applying the Digital Health Social Justice Guide. Frontiers in Digital Health, 4. https://doi.org/10.3389/fdgth.2022.807886

François, J., Audrain-Pontevia, A.-F., Boudhraâ, S., et al. (2024). Assessing the Influence of Patient Empowerment Gained Through Mental Health Apps on Patient Trust in the Health Care Provider and Patient Compliance With the Recommended Treatment: Cross-sectional Study. Journal of Medical Internet Research, 26, e48182. https://doi.org/10.2196/48182

Gaylin, D. S., Moiduddin, A., Mohamoud, S., et al. (2011). Public Attitudes about Health Information Technology, and Its Relationship to Health Care Quality, Costs, and Privacy. Health Services Research, 46(3), 920–938. https://doi.org/10.1111/j.1475-6773.2010.01233.x

Goode, J.-V., Owen, J., Page, A., et al. (2019). Community-Based Pharmacy Practice Innovation and the Role of the Community-Based Pharmacist Practitioner in the United States. Pharmacy, 7(3), 106. https://doi.org/10.3390/pharmacy7030106

Hutchings, E., Loomes, M., Butow, P., et al. (2020). A systematic literature review of health consumer attitudes towards secondary use and sharing of health administrative and clinical trial data: a focus on privacy, trust, and transparency. Systematic Reviews, 9(1). https://doi.org/10.1186/s13643-020-01481-9

Jarab, A. S., Abu Heshmeh, S. R., & Al Meslamani, A. Z. (2023). Artificial intelligence (AI) in pharmacy: an overview of innovations. Journal of Medical Economics, 26(1), 1261–1265. https://doi.org/10.1080/13696998.2023.2265245

Lee, T. H., McGlynn, E. A., & Safran, D. G. (2019). A Framework for Increasing Trust Between Patients and the Organizations That Care for Them. JAMA, 321(6), 539. https://doi.org/10.1001/jama.2018.19186

Morgan, H. (2016). ‘Pushed’ self-tracking using digital technologies for chronic health condition management: a critical interpretive synthesis. DIGITAL HEALTH, 2, 205520761667849. https://doi.org/10.1177/2055207616678498

Narynov, S., Zhumanov, Z., Gumar, A., et al. (2021). Chatbots and Conversational Agents in Mental Health: A Literature Review. 2021 21st International Conference on Control, Automation and Systems (ICCAS). https://doi.org/10.23919/iccas52745.2021.9649855

Palumbo, R., Nicola, C., & Adinolfi, P. (2021). Addressing health literacy in the digital domain: insights from a literature review. Kybernetes, 51(13), 82–97. https://doi.org/10.1108/k-07-2021-0547

Pérez-Jover, V., Sala-González, M., Guilabert, M., et al. (2019). Mobile Apps for Increasing Treatment Adherence: Systematic Review. Journal of Medical Internet Research, 21(6), e12505. https://doi.org/10.2196/12505

Powell, A., & Torous, J. (2020). A Patient-Centered Framework for Measuring the Economic Value of the Clinical Benefits of Digital Health Apps: Theoretical Modeling. JMIR Mental Health, 7(10), e18812. https://doi.org/10.2196/18812

Sharma, S., Singh, G., Sharma, R., et al. (2020). Digital health innovation: exploring adoption of COVID-19 digital contact tracing apps. IEEE Transactions on Engineering Management.

Trenfield, S. J., Awad, A., McCoubrey, L. E., et al. (2022). Advancing pharmacy and healthcare with virtual digital technologies. Advanced Drug Delivery Reviews, 182, 114098. https://doi.org/10.1016/j.addr.2021.114098

Zapata, B. C., Fernández-Alemán, J. L., Idri, A., et al. (2015). Empirical Studies on Usability of mHealth Apps: A Systematic Literature Review. Journal of Medical Systems, 39(2). https://doi.org/10.1007/s10916-014-0182-2




DOI: https://doi.org/10.24294/jipd.v8i8.5450

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Authors

License URL: https://creativecommons.org/licenses/by/4.0/

This site is licensed under a Creative Commons Attribution 4.0 International License.