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A Digital Health Equity Framework for Sustainable e-Health Services in Saudi Arabia

Author

Listed:
  • Fahdah AlShaikh

    (Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh P.O. Box 11433, Saudi Arabia)

  • Rawan Hayan Alwadai

    (Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh P.O. Box 11433, Saudi Arabia)

Abstract

As Saudi Arabia accelerates digital transformation under Vision 2030, the sustainable adoption of Health 4.0 technologies depends on equitable digital health literacy (DHL) and population-level readiness for eHealth engagement. Despite growing interest, empirical data on the behavioral, social, and contextual determinants of digital health adoption remain limited in Middle Eastern settings. This study investigates the readiness of Saudi adults for eHealth services, identifies key behavioral factors influencing digital tool adoption, and proposes an equity-centered, network-aware DHL framework to support inclusive and sustainable Health 4.0 implementation. A multi-phase, cross-sectional study was conducted among 430 Saudi adults using validated instruments including eHEALS, TRI 2.0, UTAUT, and EQ-5D. Quantitative analysis employed multiple linear regression (R 2 = 0.79), structural equation modeling (CFI = 0.96; RMSEA = 0.04), social network analysis (centrality scores), and network-based diffusion analysis (s = 0.17). Additionally, a three-round Delphi method (CI ≤ 0.25) ensured expert consensus on framework development. Significant predictors of digital health tool adoption included eHealth readiness (β = 0.18), perceived usability, and system trust. Social network metrics identified central actors who facilitated peer-driven behavioral diffusion, validated through NBDA modeling. Based on these findings, a comprehensive DHL Equity Framework was synthesized, integrating behavioral drivers, network diffusion pathways, and principles from the Triple Bottom Line (TBL) framework to mitigate structural disparities while addressing environmental, economic, and social dimensions of sustainable digital health access. The framework was also systematically mapped to relevant Sustainable Development Goals (SDGs), highlighting its alignment with global health and sustainability targets. This study presents a scalable and policy-relevant model to guide inclusive eHealth strategies in Saudi Arabia and similar developing contexts. The proposed framework advances national digital resilience, reduces inequities, and promotes sustainable Health 4.0 service delivery.

Suggested Citation

  • Fahdah AlShaikh & Rawan Hayan Alwadai, 2025. "A Digital Health Equity Framework for Sustainable e-Health Services in Saudi Arabia," Sustainability, MDPI, vol. 17(17), pages 1-23, August.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:17:p:7681-:d:1732937
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    References listed on IDEAS

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    1. Swathikan Chidambaram & Bhav Jain & Urvish Jain & Rogers Mwavu & Rama Baru & Beena Thomas & Felix Greaves & Shruti Jayakumar & Pankaj Jain & Marina Rojo & Marina Ridao Battaglino & John G Meara & Vikn, 2024. "An introduction to digital determinants of health," PLOS Digital Health, Public Library of Science, vol. 3(1), pages 1-14, January.
    2. Zakaria A. Mani & Krzysztof Goniewicz, 2024. "Transforming Healthcare in Saudi Arabia: A Comprehensive Evaluation of Vision 2030’s Impact," Sustainability, MDPI, vol. 16(8), pages 1-23, April.
    3. Camilleri, Mark Anthony, 2024. "Factors affecting performance expectancy and intentions to use ChatGPT: Using SmartPLS to advance an information technology acceptance framework," Technological Forecasting and Social Change, Elsevier, vol. 201(C).
    4. Montero-Vega, Mariana & Estrada, Miquel & Thigulla, Divya Teja, 2025. "Understanding the impact of socio-demographic differences on acceptance of last-mile delivery technologies: A comparative analysis," Journal of Transport Geography, Elsevier, vol. 126(C).
    5. Ali M. Al Shahrani & Ali Rizwan & Manuel Sánchez-Chero & Carmen Elvira Rosas-Prado & Elmer Bagner Salazar & Nancy Awadallah Awad & Amandeep Kaur, 2022. "An Internet of Things (IoT)-Based Optimization to Enhance Security in Healthcare Applications," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-11, September.
    6. Azza Alkaabi & Deena Elsori, 2025. "Navigating digital frontiers in UAE healthcare: A qualitative exploration of healthcare professionals’ and patients’ experiences with AI and telemedicine," PLOS Digital Health, Public Library of Science, vol. 4(4), pages 1-29, April.
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