Literature DB >> 34356267

Application of Smartphone Technologies in Disease Monitoring: A Systematic Review.

Jeban Chandir Moses1, Sasan Adibi1, Sheikh Mohammed Shariful Islam2, Nilmini Wickramasinghe3, Lemai Nguyen4.   

Abstract

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.

Entities:  

Keywords:  COVID-19; chronic disease; disease management; disease monitoring; mobile solutions; patient-generated health data; smartphone applications; technology; technology acceptance; wearable sensors

Year:  2021        PMID: 34356267     DOI: 10.3390/healthcare9070889

Source DB:  PubMed          Journal:  Healthcare (Basel)        ISSN: 2227-9032


  8 in total

1.  Machine learning models for prediction of co-occurrence of diabetes and cardiovascular diseases: a retrospective cohort study.

Authors:  Ahmad Shaker Abdalrada; Jemal Abawajy; Tahsien Al-Quraishi; Sheikh Mohammed Shariful Islam
Journal:  J Diabetes Metab Disord       Date:  2022-01-12

Review 2.  Smartphone Apps for Diabetes Medication Adherence: Systematic Review.

Authors:  Sheikh Mohammed Shariful Islam; Vinaytosh Mishra; Muhammad Umer Siddiqui; Jeban Chandir Moses; Sasan Adibi; Lemai Nguyen; Nilmini Wickramasinghe
Journal:  JMIR Diabetes       Date:  2022-06-21

3.  covidscreen: a web app and R Package for assessing asymptomatic COVID-19 testing strategies.

Authors:  Motomi Mori; Li Tang; Jesse Smith; Yilun Sun; Diego R Hijano; James M Hoffman; Hana Hakim; Richard J Webby; Randall T Hayden; Aditya H Gaur; Gregory T Armstrong
Journal:  BMC Public Health       Date:  2022-07-15       Impact factor: 4.135

Review 4.  Smartphone as a Disease Screening Tool: A Systematic Review.

Authors:  Jeban Chandir Moses; Sasan Adibi; Nilmini Wickramasinghe; Lemai Nguyen; Maia Angelova; Sheikh Mohammed Shariful Islam
Journal:  Sensors (Basel)       Date:  2022-05-16       Impact factor: 3.847

5.  Factors Associated with Chronic Kidney Disease in Patients with Type 2 Diabetes in Bangladesh.

Authors:  Sheikh Mohammed Shariful Islam; Masudus Salehin; Sojib Bin Zaman; Tania Tansi; Rajat Das Gupta; Lingkan Barua; Palash Chandra Banik; Riaz Uddin
Journal:  Int J Environ Res Public Health       Date:  2021-11-23       Impact factor: 3.390

Review 6.  Towards a Connected Mobile Cataract Screening System: A Future Approach.

Authors:  Wan Mimi Diyana Wan Zaki; Haliza Abdul Mutalib; Laily Azyan Ramlan; Aini Hussain; Aouache Mustapha
Journal:  J Imaging       Date:  2022-02-10

7.  Prediction of cardiac autonomic neuropathy using a machine learning model in patients with diabetes.

Authors:  Ahmad Shaker Abdalrada; Jemal Abawajy; Tahsien Al-Quraishi; Sheikh Mohammed Shariful Islam
Journal:  Ther Adv Endocrinol Metab       Date:  2022-03-22       Impact factor: 3.565

8.  Evaluating the robustness of a contact-less mHealth solution for personal and remote monitoring of blood oxygen saturation.

Authors:  Gabriella Casalino; Giovanna Castellano; Gianluca Zaza
Journal:  J Ambient Intell Humaniz Comput       Date:  2022-01-14
  8 in total

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