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Digital Health Transformation in Saudi Arabia: Examining the Impact of Health Information Seeking on M-Health Adoption during the COVID-19 Pandemic

Authors

  • Nasser Aljohani Faculty of Computer and Information Systems, Islamic University of Madinah, Madinah, Saudi Arabia
Volume: 15 | Issue: 1 | Pages: 19933-19940 | February 2025 | https://doi.org/10.48084/etasr.8747

Abstract

This study investigates the intention of Saudi Arabian users to adopt mobile health (m-health) applications through the lens of the United Theory of Acceptance and Use of Technology (UTAUT) framework. The research highlights the growing importance of m-health solutions in Saudi Arabia, especially in the context of the country's Vision 2030 development agenda and the accelerated adoption of e-health/m-health technologies during the COVID-19 pandemic. The key findings indicate that health information seeking, and social influence are significant factors driving users' intentions to adopt m-health applications, while Performance Expectancy (PE) is not a primary driver. Additionally, Effort Expectancy (EE) positively influences users' behavioral intentions. Improving health information features in these applications could facilitate broader adoption. This research contributes to the existing literature on information systems and m-health adoption by shedding light on the critical factors influencing user intentions in a developing context. However, the study does not account for all potential technological and external variables that could affect adoption behavior. Future research, particularly qualitative or mixed-method studies, should explore the impact of age on m-health adoption, as the current findings primarily reflect younger users.

Keywords:

M-health, apps, factors, adoption, health information seeking, Saudi Arabia

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References

M. Damar, O. Kop, Ö. F. Şaylan, A. Özen, Ü. E. Çakmak, and F. S. Erenay, "Digital Health: The Critical Value of Mobile Technology for the Health Sector, Different Application Examples from the World and Current Trends," Journal of Emerging Computer Technologies, vol. 4, no. 1, pp. 25–37, Dec. 2024.

N. F. N. Aljohani and D. Chandran, "Factors Affecting the Adoption of M-health Applications in Saudi Arabia: Impact of Healthcare Authority Enforcement," Pacific Asia Conference on Information Systems, 2021.

D. Chandran and N. Aljohani, "The role of cultural factors on mobile health adoption: The case of Saudi Arabia," 2020.

Z. Hussein, S. W. Oon, and A. Fikry, "Consumer Attitude: Does It Influencing the Intention to Use mHealth?," Procedia Computer Science, vol. 105, pp. 340–344, Jan. 2017.

N. Aljohani and D. Chandran, "Adoption of M-Health applications: the Saudi Arabian healthcare perspectives," Australasian Conference on Information Systems, Perth Western Australia: AIS eLibrary, pp. 180-186, 2019.

"Ministry of Health (MoH), "MoH Initiatives 2030," 2017.

General Authority for Statistics, "Population Estimates," 2019.

"Annual Report 1438H/1439H 2017", Communications, Space & Technology Commission.

M. Hassounah, H. Raheel, and M. Alhefzi, "Digital Response During the COVID-19 Pandemic in Saudi Arabia," Journal of Medical Internet Research, vol. 22, no. 9, Sep. 2020, Art. no. e19338.

P. Galetsi, K. Katsaliaki, and S. Kumar, "Exploring benefits and ethical challenges in the rise of mHealth (mobile healthcare) technology for the common good: An analysis of mobile applications for health specialists," Technovation, vol. 121, Mar. 2023, Art. no. 102598.

G. S. Aljuraiban, "Use of weight-management mobile phone apps in Saudi Arabia: a web-based survey," JMIR mHealth and uHealth, vol. 7, no. 2, 2019, Art. no. e12692.

Z. Deng, Z. Hong, C. Ren, W. Zhang, and F. Xiang, "What Predicts Patients’ Adoption Intention Toward mHealth Services in China: Empirical Study," JMIR mHealth and uHealth, vol. 6, no. 8, Aug. 2018, Art. no. e172.

A. Alghamdi, T. Alsubait, A. Baz, and H. Alhakami, "Healthcare Analytics: A Comprehensive Review," Engineering, Technology & Applied Science Research, vol. 11, no. 1, pp. 6650–6655, Feb. 2021.

S. Leigh, L. Ashall-Payne, and T. Andrews, "Barriers and Facilitators to the Adoption of Mobile Health Among Health Care Professionals From the United Kingdom: Discrete Choice Experiment," JMIR mHealth and uHealth, vol. 8, no. 7, Jul. 2020, Art. no. e17704.

X. Chen et al., "Health Literacy and Use and Trust in Health Information," Journal of Health Communication, vol. 23, no. 8, pp. 724–734, Aug. 2018.

P. Ndayizigamiye and M. Maharaj, "Determinants of Mobile Health Adoption in Burundi," The African Journal of Information Systems, vol. 9, no. 3, Sep. 2017, Art. no. 4.

J. A. Diaz, R. A. Griffith, J. J. Ng, S. E. Reinert, P. D. Friedmann, and A. W. Moulton, "Patients’ Use of the Internet for Medical Information," Journal of General Internal Medicine, vol. 17, no. 3, pp. 180–185, 2002.

S. S. Bhuyan et al., "Use of Mobile Health Applications for Health-Seeking Behavior Among US Adults," Journal of Medical Systems, vol. 40, no. 6, May 2016, Art. no. 153.

S. A. Alduraywish et al., "Sources of Health Information and Their Impacts on Medical Knowledge Perception Among the Saudi Arabian Population: Cross-Sectional Study," Journal of Medical Internet Research, vol. 22, no. 3, Mar. 2020, Art. no. e14414.

M. A. Ladan, H. Wharrad, and R. Windle, "Towards understanding healthcare professionals’ adoption and use of technologies in clinical practice: using Q-methodology and models of technology acceptance," BMJ Health & Care Informatics, vol. 25, no. 1, Jan. 2018.

V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis, "User Acceptance of Information Technology: Toward a Unified View," MIS Quarterly, vol. 27, no. 3, pp. 425–478, 2003.

R. Hoque and G. Sorwar, "Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model," International Journal of Medical Informatics, vol. 101, pp. 75–84, May 2017.

J. Tavares and T. Oliveira, "Electronic Health Record Portal Adoption: a cross country analysis," BMC Medical Informatics and Decision Making, vol. 17, no. 1, Jul. 2017, Art. no. 97.

E.-M. Schomakers, C. Lidynia, and M. Ziefle, "Exploring the Acceptance of mHealth Applications - Do Acceptance Patterns Vary Depending on Context?," in Advances in Human Factors in Wearable Technologies and Game Design, Cham, 2019, pp. 53–64.

M. Njoroge, D. Zurovac, E. A. A. Ogara, J. Chuma, and D. Kirigia, "Assessing the feasibility of eHealth and mHealth: a systematic review and analysis of initiatives implemented in Kenya," BMC Research Notes, vol. 10, no. 1, Feb. 2017, Art. no. 90.

J. T. Chu, M. P. Wang, C. Shen, K. Viswanath, T. H. Lam, and S. S. C. Chan, "How, When and Why People Seek Health Information Online: Qualitative Study in Hong Kong," Interactive Journal of Medical Research, vol. 6, no. 2, Dec. 2017, Art. no. e7000.

K. B. Shiferaw, B. C. Tilahun, B. F. Endehabtu, M. K. Gullslett, and S. A. Mengiste, "E-health literacy and associated factors among chronic patients in a low-income country: a cross-sectional survey," BMC Medical Informatics and Decision Making, vol. 20, no. 1, Aug. 2020, Art. no. 181.

R. L. Bach and A. Wenz, "Studying health-related internet and mobile device use using web logs and smartphone records," PLOS ONE, vol. 15, no. 6, 2020, Art. no. e0234663.

R. Alba-Ruiz, C. Bermúdez-Tamayo, J. J. Pernett, J. F. Garcia-Gutierrez, J. M. Cózar-Olmo, and B. Valero-Aguilera, "Adapting the Content of Cancer Web Sites to the Information Needs of Patients: Reliability and Readability," Telemedicine and e-Health, vol. 19, no. 12, pp. 956–966, Dec. 2013.

"COVID-19 Monitoring Committee Holds its 46th Meeting," Ministry Of Health Saudi Arabia, Apr. 05, 2020.

J. F. Hair Jr., G. T. M. Hult, C. M. Ringle, M. Sarstedt, N. P. Danks, and S. Ray, Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook, Cham, Switzerland: Springer Nature, 2021.

Z. V. Lambert, A. R. Wildt, and R. M. Durand, "Approximating Confidence Intervals for Factor Loadings," Multivariate Behavioral Research, vol. 26, no. 3, pp. 421–434, Jul. 1991.

M. Shevlin and J. N. V. Miles, "Effects of sample size, model specification and factor loadings on the GFI in confirmatory factor analysis," Personality and Individual Differences, vol. 25, no. 1, pp. 85–90, Jul. 1998.

J. Raubenheimer, "An item selection procedure to maximize scale reliability and validity"” SA Journal of Industrial Psychology, vol. 30, no. 4, pp. 59–64, Jan. 2004.

C. Fornell and D. F. Larcker, "Evaluating Structural Equation Models with Unobservable Variables and Measurement Error," Journal of Marketing Research, vol. 18, no. 1, pp. 39–50, Feb. 1981.

W. W. Chin, "The Partial Least Squares Approach to Structural Equation Modeling," in Modern Methods for Business Research, New York , United States: Psychology Press, 1998.

L. Hu and P. M. Bentler, "Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives," Structural Equation Modeling: A Multidisciplinary Journal, vol. 6, no. 1, pp. 1–55, Jan. 1999.

P. M. Bentler and D. G. Bonett, "Significance tests and goodness of fit in the analysis of covariance structures," Psychological Bulletin, vol. 88, no. 3, pp. 588–606, 1980.

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How to Cite

[1]
Aljohani, N. 2025. Digital Health Transformation in Saudi Arabia: Examining the Impact of Health Information Seeking on M-Health Adoption during the COVID-19 Pandemic. Engineering, Technology & Applied Science Research. 15, 1 (Feb. 2025), 19933–19940. DOI:https://doi.org/10.48084/etasr.8747.

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