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Application of smartphone technologies in disease monitoring: A systematic review

Moses, Jeban Chandir, Adibi, Sasan, Shariful Islam, Sheikh, Wickramasinghe, Nilmini and Nguyen, Lemai 2021, Application of smartphone technologies in disease monitoring: A systematic review, Healthcare, vol. 9, no. 7, pp. 1-19, doi: 10.3390/healthcare9070889.

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Title Application of smartphone technologies in disease monitoring: A systematic review
Author(s) Moses, Jeban ChandirORCID iD for Moses, Jeban Chandir orcid.org/0000-0002-3868-6269
Adibi, SasanORCID iD for Adibi, Sasan orcid.org/0000-0001-7926-9368
Shariful Islam, SheikhORCID iD for Shariful Islam, Sheikh orcid.org/0000-0002-1314-8843
Wickramasinghe, NilminiORCID iD for Wickramasinghe, Nilmini orcid.org/0000-0003-3695-7245
Nguyen, Lemai
Journal name Healthcare
Volume number 9
Issue number 7
Article ID 889
Start page 1
End page 19
Total pages 19
Publisher MDPI
Place of publication Basel, Switzerland
Publication date 2021
ISSN 2227-9032
2227-9032
Keyword(s) CANCER
chronic disease
COVID-19
disease management
disease monitoring
ECONOMIC-EVALUATION
Health Care Sciences & Services
Health Policy & Services
HEALTH-CARE
IMPACT
Life Sciences & Biomedicine
MANAGEMENT
mobile solutions
OF-CARE
patient-generated health data
Science & Technology
smartphone applications
technology
technology acceptance
wearable sensors
Summary 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.
Language eng
DOI 10.3390/healthcare9070889
Field of Research 150301 Business Information Management (incl Records, Knowledge and Information Management, and Intelligence)
080702 Health Informatics
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30153604

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.