Poor Compliance of Diabetic Patients with AI-Enabled E-Health Self-Care Management in Saudi Arabia

Alanazi, F; Gay, V; Alturki, R

Poor Compliance of Diabetic Patients with AI-Enabled E-Health Self-Care Management in Saudi Arabia

Alanazi, F Gay, V

Alturki, R

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Publisher:: MDPI
Publication Type:: Journal Article
Citation:: Information (Switzerland), 2022, 13, (11), pp. 509
Issue Date:: 2022-11-01

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Field	Value	Language
dc.contributor.author	Alanazi, F
dc.contributor.author	Gay, V https://orcid.org/0000-0002-4301-1995
dc.contributor.author	Alturki, R
dc.date.accessioned	2023-03-12T03:39:14Z
dc.date.available	2023-03-12T03:39:14Z
dc.date.issued	2022-11-01
dc.identifier.citation	Information (Switzerland), 2022, 13, (11), pp. 509
dc.identifier.issn	2078-2489
dc.identifier.issn	2078-2489
dc.identifier.uri	http://hdl.handle.net/10453/167056
dc.description.abstract	Still in its nascent stage, the Kingdom of Saudi Arabia’s self-care system lacks most features of a state-of-the-art e-health care system. With the Industrial Revolution 4.0 and the expanding use of artificial intelligence (AI), e-health initiatives in Saudi Arabia are increasing, which is compelling academics, clinicians, and policymakers to develop a better understanding of e-health trends, their efficacy, and their high impact areas. An increase in the number of diabetic patients in the Kingdom demands improvements to the current e-health care system, where the capability to manage diabetic patients is still in its infancy. In this survey, a total of 210 valid responses were obtained for analysis. SPSS version 27.0 was used for the quantitative analysis. The main technique used to address the aims of the data analysis was Spearman’s correlation analysis. This study indicated that the compliance rate with prescribed medication, blood glucose monitoring, and insulin injections from hospitals is increasing, with the highest rates found for Jeddah City. However, diet control and physical activity compliance levels were found to be poorly combined, predominantly due to the lower number of registered patients in the e-health care system. This non-compliance trends with selected variables (education and income) and highlights the dire need for improvement to the current health system by the inclusion of the latest technology, including big data, cloud computing, and the Internet of Things (IoT). Hence, this study suggests the implementation of government-regulated e-health care systems on mobile-based policies. The study revealed the experience of patients using e-health systems, which could be used to improve their efficacy and durability. More research needs to be conducted to address the deficiencies in the current e-health care system regarding diabetes care, and how it can be integrated into the healthcare system in general.
dc.language	en
dc.publisher	MDPI
dc.relation.ispartof	Information (Switzerland)
dc.relation.isbasedon	10.3390/info13110509
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	08 Information and Computing Sciences
dc.title	Poor Compliance of Diabetic Patients with AI-Enabled E-Health Self-Care Management in Saudi Arabia
dc.type	Journal Article
utslib.citation.volume	13
utslib.for	08 Information and Computing Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Centre for Health Technologies (CHT)
utslib.copyright.status	open_access	*
dc.date.updated	2023-03-12T03:39:13Z
pubs.issue	11
pubs.publication-status	Published
pubs.volume	13
utslib.citation.issue	11

Abstract:

Still in its nascent stage, the Kingdom of Saudi Arabia’s self-care system lacks most features of a state-of-the-art e-health care system. With the Industrial Revolution 4.0 and the expanding use of artificial intelligence (AI), e-health initiatives in Saudi Arabia are increasing, which is compelling academics, clinicians, and policymakers to develop a better understanding of e-health trends, their efficacy, and their high impact areas. An increase in the number of diabetic patients in the Kingdom demands improvements to the current e-health care system, where the capability to manage diabetic patients is still in its infancy. In this survey, a total of 210 valid responses were obtained for analysis. SPSS version 27.0 was used for the quantitative analysis. The main technique used to address the aims of the data analysis was Spearman’s correlation analysis. This study indicated that the compliance rate with prescribed medication, blood glucose monitoring, and insulin injections from hospitals is increasing, with the highest rates found for Jeddah City. However, diet control and physical activity compliance levels were found to be poorly combined, predominantly due to the lower number of registered patients in the e-health care system. This non-compliance trends with selected variables (education and income) and highlights the dire need for improvement to the current health system by the inclusion of the latest technology, including big data, cloud computing, and the Internet of Things (IoT). Hence, this study suggests the implementation of government-regulated e-health care systems on mobile-based policies. The study revealed the experience of patients using e-health systems, which could be used to improve their efficacy and durability. More research needs to be conducted to address the deficiencies in the current e-health care system regarding diabetes care, and how it can be integrated into the healthcare system in general.

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http://hdl.handle.net/10453/167056