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Review

Application of Smartphone Technologies in Disease Monitoring: A Systematic Review

1
School of Information Technology, Deakin University, 1 Gheringhap St, Geelong, VIC 3220, Australia
2
Institute for Physical Activity and Nutrition (IPAN), Deakin University, Burwood, VIC 3125, Australia
3
Iverson Health Innovation Research Institute, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
4
Department of Information Systems and Business Analytics, Deakin Business School, 221 Burwood Highway, Burwood, VIC 3125, Australia
*
Author to whom correspondence should be addressed.
Academic Editors: Mahmoud Elkhodr, Omar Darwish and Belal Alsinglawi
Healthcare 2021, 9(7), 889; https://doi.org/10.3390/healthcare9070889
Received: 20 May 2021 / Revised: 3 July 2021 / Accepted: 9 July 2021 / Published: 14 July 2021
(This article belongs to the Special Issue Emerging Technologies in Health Informatics and Management)
Technologies play an essential role in monitoring, managing, and self-management of chronic diseases. Since chronic patients rely on life-long healthcare systems and the current COVID-19 pandemic has placed limits on hospital care, there is a need to explore disease monitoring and management technologies and examine their acceptance by chronic patients. We systematically examined the use of smartphone applications (apps) in chronic disease monitoring and management in databases, namely, Medline, Web of Science, Embase, and Proquest, published from 2010 to 2020. Results showed that app-based weight management programs had a significant effect on healthy eating and physical activity (p = 0.002), eating behaviours (p < 0.001) and dietary intake pattern (p < 0.001), decreased mean body weight (p = 0.008), mean Body Mass Index (BMI) (p = 0.002) and mean waist circumference (p < 0.001). App intervention assisted in decreasing the stress levels (paired t-test = 3.18; p < 0.05). Among cancer patients, we observed a high acceptance of technology (76%) and a moderately positive correlation between non-invasive electronic monitoring data and questionnaire (r = 0.6, p < 0.0001). We found a significant relationship between app use and standard clinical evaluation and high acceptance of the use of apps to monitor the disease. Our findings provide insights into critical issues, including technology acceptance along with regulatory guidelines to be considered when designing, developing, and deploying smartphone solutions targeted for chronic patients. View Full-Text
Keywords: technology; smartphone applications; wearable sensors; disease monitoring; mobile solutions; disease management; technology acceptance; chronic disease; COVID-19; patient-generated health data technology; smartphone applications; wearable sensors; disease monitoring; mobile solutions; disease management; technology acceptance; chronic disease; COVID-19; patient-generated health data
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MDPI and ACS Style

Moses, J.C.; Adibi, S.; Shariful Islam, S.M.; Wickramasinghe, N.; Nguyen, L. Application of Smartphone Technologies in Disease Monitoring: A Systematic Review. Healthcare 2021, 9, 889. https://doi.org/10.3390/healthcare9070889

AMA Style

Moses JC, Adibi S, Shariful Islam SM, Wickramasinghe N, Nguyen L. Application of Smartphone Technologies in Disease Monitoring: A Systematic Review. Healthcare. 2021; 9(7):889. https://doi.org/10.3390/healthcare9070889

Chicago/Turabian Style

Moses, Jeban C., Sasan Adibi, Sheikh M. Shariful Islam, Nilmini Wickramasinghe, and Lemai Nguyen. 2021. "Application of Smartphone Technologies in Disease Monitoring: A Systematic Review" Healthcare 9, no. 7: 889. https://doi.org/10.3390/healthcare9070889

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