2692-4048ISSN (Online)
2770-0070ISSN (Print)
Volume 20 , Issue 2 , PP: 13-25, 2025 | Cite this article as | XML | Html | PDF | Full Length Article
Iman Kadhim Ajlan 1 , Ahmad Fadhil Yusof 2 * , Fahad Taha AL-Dhief 3 , Nurhizam Saif 4 , Ali Hashim Abbas 5
Doi: https://doi.org/10.54216/FPA.200202
Chronic diseases (CDs) have become as significant as communicable diseases due to their rising mortality rates and long-term effects. Coronary artery disease (CAD), one of the most common NCDs, is increasingly concerning due to its impact on both death rates and overall health. Managing CAD typically requires professional care and lifestyle changes, which may be inaccessible to some patients due to financial constraints or difficulty in modifying their habits. However, remote health solutions, like mobile applications, could help CAD patients improve their condition and lower risks. In Iraq, the willingness of CAD patients to use mHealth apps has not been explored. This study examines existing mHealth readiness models and incorporates additional factors that consider the needs of CAD patients and the Iraqi context. This will be achieved by adapting a questionnaire based on expert feedback and distributing it to CAD patients in Iraq.
Chronic diseases , Coronary artery disease , Mobile applications , mHealth, Iraq
[1] M. K. Mahmood, E. S. Saleh, and G. M. Mahmood, "Association of hsCRP and Serum Kalirin Levels with the Development and Severity of Premature Coronary Artery Disease in Iraqi Patients," Al-Rafidain Journal of Medical Sciences (ISSN 2789-3219), vol. 7, no. 1, pp. 227-232, 2024.
[2] N. Seyala and S. N. Abdullah, "Cluster Analysis on Longitudinal Data of Patients with Kidney Dialysis using a Smoothing Cubic B-Spline Model," International Journal of Mathematics, Statistics, and Computer Science, vol. 2, pp. 85–95, 2023. https://doi.org/10.59543/ijmscs.v2i.8337
[3] J. D. Sara, M. F. Eleid, R. Gulati, and D. R. Holmes Jr, "Sudden cardiac death from the perspective of coronary artery disease," in Mayo Clinic Proceedings, 2014, vol. 89, no. 12, pp. 1685-1698.
[4] M. A. Mir, A. B. Malik, and M. A. Dar, "Navigating the Heart's Highway: Effective Management of Coronary Artery Disease," International Journal of Current Research in Physiology and Pharmacology, pp. 39-49, 2023.
[5] A. Zaree et al., "Cardiac rehabilitation in the modern era: optimizing recovery and reducing recurrence," Cureus, vol. 15, no. 9, 2023.
[6] B. A. Franklin, J. Myers, and P. Kokkinos, "Importance of lifestyle modification on cardiovascular risk reduction: counseling strategies to maximize patient outcomes," Journal of cardiopulmonary rehabilitation and prevention, vol. 40, no. 3, pp. 138-143, 2020.
[7] G. Abdualiyeva, "Employing mHealth Applications for the Self-Assessment of Selected Eye Functions and Prediction of Chronic Major Eye Diseases among the Aging Population," Université d'Ottawa/University of Ottawa, 2019.
[8] K. W. Banks, "Global Diffusion of the Internet XIV: The Internet in Iraq and Its Societal Impact," Communications of the Association for Information Systems, vol. 24, no. 1, p. 10, 2009.
[9] S. Al-Arkee et al., "Mobile apps to improve medication adherence in cardiovascular disease: systematic review and meta-analysis," Journal of medical Internet research, vol. 23, no. 5, p. e24190, 2021.
[10] I. Bianconi, R. Aschbacher, and E. Pagani, "Current uses and future perspectives of genomic technologies in clinical microbiology," Antibiotics, vol. 12, no. 11, p. 1580, 2023.
[11] S. Ghosh, S. Dhar, S. Bhattacharjee, and P. Bhattacharjee, "Contribution of environmental, genetic and epigenetic factors to obesity-related metabolic syndrome," The Nucleus, vol. 66, no. 2, pp. 215-237, 2023.
[12] R. S. Istepanian, "Mobile health (m-Health) in retrospect: the known unknowns," International journal of environmental research and public health, vol. 19, no. 7, p. 3747, 2022.
[13] K. D. Gashu, "The Digital Ecosystem and Major," Public Health Informatics: Implementation and Governance in Resource-Limited Settings, p. 97, 2024.
[14] K. D. Gashu, "The Digital Ecosystem and Major Public Health Informatics Initiatives in Resource-Limited Settings," in Public Health Informatics: Implementation and Governance in Resource-Limited Settings: Springer, 2024, pp. 97-140.
[15] T. T. Lin and J. R. Bautista, "Understanding the relationships between mHealth apps' characteristics, trialability, and mHealth literacy," Journal of health communication, vol. 22, no. 4, pp. 346-354, 2017.
[16] N. Al-Shorbaji and D. Alhuwail, "health informatics in the Middle East and North africa," in Roadmap to Successful Digital Health Ecosystems: Elsevier, 2022, pp. 375-397.
[17] A. TahaYaseen, A. R. Ahmad, and S. S. Gunasekaran, "A Systematic Review of Mobile Health Adoption Factors for Iraqi Healthcare Institutions," International journal of health sciences, vol. 6, no. S1, pp. 6693-6709, 2023.
[18] A. Biru, D. Birhan, G. Melkamu, A. Gebeyehu, and A. M. Omer, "Pathways to improve health information systems in Ethiopia: current maturity status and implications," Health Research Policy and Systems, vol. 20, no. 1, p. 78, 2022.
[19] M. Sung et al., "Using an integrated framework to investigate the facilitators and barriers of health information technology implementation in noncommunicable disease management: systematic review," Journal of medical Internet research, vol. 24, no. 7, p. e37338, 2022.
[20] R. Yao, W. Zhang, R. Evans, G. Cao, T. Rui, and L. Shen, "Inequities in health care services caused by the adoption of digital health technologies: scoping review," Journal of medical Internet research, vol. 24, no. 3, p. e34144, 2022.
[21] N. H. Corry, S. Radakrishnan, C. S. Williams, K. A. Woodall, and V. A. Stander, "Longitudinal association of health behaviors and health-related quality of life with military spouse readiness," BMC Public Health, vol. 24, no. 1, p. 1341, 2024.
[22] R. Jakob et al., "Factors influencing adherence to mHealth apps for prevention or management of noncommunicable diseases: systematic review," Journal of medical Internet research, vol. 24, no. 5, p. e35371, 2022.
[23] H. Slater, J. M. Campbell, J. N. Stinson, M. M. Burley, and A. M. Briggs, "End user and implementer experiences of mHealth technologies for noncommunicable chronic disease management in young adults: systematic review," Journal of medical Internet research, vol. 19, no. 12, p. e406, 2017.
[24] P. W. Handayani, R. Indriani, and A. A. Pinem, "Mobile health readiness factors: From the perspectives of mobile health users in Indonesia," Informatics in Medicine Unlocked, vol. 24, p. 100590, 2021.
[25] W. Czemiel-Grzybowska, M. Bąkowski, and M. Forfa, "Overcoming the Challenge of Exploration: Organizational Readiness of Technology Entrepreneurship on the Background of Energy Climate Nexus," Energies, vol. 17, no. 23, pp. 1-17, 2024.
[26] J.-A. Lee, M. Choi, S. A. Lee, and N. Jiang, "Effective behavioral intervention strategies using mobile health applications for chronic disease management: a systematic review," BMC medical informatics and decision making, vol. 18, pp. 1-18, 2018.
[27] A. Alaiad, M. Alsharo, and Y. Alnsour, "The determinants of m-health adoption in developing countries: an empirical investigation," Applied clinical informatics, vol. 10, no. 05, pp. 820-840, 2019.
[28] H. Issa, R. Jabbouri, and M. Palmer, "An artificial intelligence (AI)-readiness and adoption framework for AgriTech firms," Technological Forecasting and Social Change, vol. 182, p. 121874, 2022.
[29] I. E. Fowe, "Evaluating organizational readiness for change in the implementation of telehealth and mobile health interventions for chronic disease management," AMIA Summits on Translational Science Proceedings, vol. 2021, p. 210, 2021.
[30] T. M. Hengst, L. Lechner, D. Dohmen, and C. A. Bolman, "The facilitators and barriers of mHealth adoption and use among people with a low socio-economic position: A scoping review," Digital Health, vol. 9, p. 20552076231198702, 2023.
[31] J. Patnaik and B. Bhowmick, "Determining appropriateness for management of appropriate technology: an empirical study using factor analysis," Technology Analysis & Strategic Management, vol. 34, no. 2, pp. 125-137, 2022.
[32] Y. Baruch and B. C. Holtom, "Survey response rate levels and trends in organizational research," Human relations, vol. 61, no. 8, pp. 1139-1160, 2008.
[33] M. K. Cain, Z. Zhang, and K.-H. Yuan, "Univariate and multivariate skewness and kurtosis for measuring nonnormality: Prevalence, influence and estimation," Behavior research methods, vol. 49, pp. 1716-1735, 2017.
[34] N. Kraai and P. Mashau, "The influence of training content, learning and training transfer on training effectiveness: a case study of board members of non-profit organizations in Gauteng," Entrepreneurship and Sustainability Issues, vol. 8, no. 2, p. 947, 2020.
[35] A. Purwanto and Y. Sudargini, "Partial least squares structural squation modeling (PLS-SEM) analysis for social and management research: a literature review," Journal of Industrial Engineering & Management Research, vol. 2, no. 4, pp. 114-123, 2021.
