Towards the Design of a Mobile Health System for Continuous Monitoring of Ocular Behaviour and Cardiovascular Variabilities

Author(s):  
Kevin Hung
Sensors ◽  
2015 ◽  
Vol 15 (6) ◽  
pp. 13159-13183 ◽  
Author(s):  
Oresti Banos ◽  
Jose Moral-Munoz ◽  
Ignacio Diaz-Reyes ◽  
Manuel Arroyo-Morales ◽  
Miguel Damas ◽  
...  
Keyword(s):  

10.2196/13558 ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. e13558
Author(s):  
Rebecca J Bartlett Ellis ◽  
James H Hill ◽  
K Denise Kerley ◽  
Arjun Sinha ◽  
Aaron Ganci ◽  
...  

2020 ◽  
Vol 17 (1) ◽  
pp. 78-91 ◽  
Author(s):  
Yang Yang ◽  
Ximeng Liu ◽  
Robert H. Deng ◽  
Yingjiu Li
Keyword(s):  

Author(s):  
Bruno M. C. Silva ◽  
Joel J. P. C. Rodrigues ◽  
Andre Ramos ◽  
Kashif Saleem ◽  
Isabel de la Torre ◽  
...  

2018 ◽  
Author(s):  
Plinio Pelegrini Morita ◽  
Melanie S Yeung ◽  
Madonna Ferrone ◽  
Ann K Taite ◽  
Carole Madeley ◽  
...  

BACKGROUND Uncontrolled asthma poses substantial negative personal and health system impacts. Web-based technologies, including smartphones, are novel means to enable evidence-based care and improve patient outcomes. OBJECTIVE The aim of this study was to design, develop, and assess the utilization of an asthma collaborative self-management (CSM) platform (breathe) using content based on international evidence-based clinical guidelines. METHODS We designed and developed breathe as a Web-based mobile health (mHealth) platform accessible on smartphones, tablets, or desktop with user-centered design methods and International Organization for Standardization–certified quality development processes. Moreover, breathe was envisioned as a multifunctional, CSM mHealth platform, with content based on international clinical practice guidelines and compliant with national privacy and security specifications. The system enabled CSM (patient, provider, and breathe) and self-monitoring of asthma patients through (1) assessment of asthma control, (2) real-time access to a dynamic asthma action plan, (3) access to real-time environmental conditions, and (4) risk-reduction messaging. The data collection protocol collected user data for 12 months, with clinic visits at baseline and 6 and 12 months. Utilization outcomes included user interactions with the platform, user impressions, self-reported medication use, asthma symptom profile, reported peak flow measurement, and the delivery and impact of email reminders. RESULTS We enrolled 138 patients with a mean age of 45.3 years to receive the breathe intervention. Majority were female (100/138, 72.5%), had a smartphone (92/138, 66.7%), and had a mean Asthma Control Test score of 18.3 (SD 4.9). A majority reported that breathe helped in the management of their asthma. Moreover, breathe scored 71.1 (SD 18.9) on the System Usability Scale. Overall, 123 patients had complete usage analytics datasets. The platform sent 7.96 reminder emails per patient per week (pppw), patients accessed breathe 3.08 times, journaled symptoms 2.56 times, reported medication usage 0.30 times, and reported peak flow measurements 0.92 times pppw. Furthermore, breathe calculated patients’ action plan zone of control 2.72 times pppw, with patients being in the green (well-controlled) zone in 47.71% (8300/17,396) of the total calculations. Usage analysis showed that 67.5% (83/123) of the participants used the app at week 4 and only 57.7% (71/123) by week 45. Physician visits, email reminders, and aged 50 years and above were associated with higher utilization. CONCLUSIONS Individuals with asthma reported good usability and high satisfaction levels, reacted to breathe notifications, and had confidence in the platform’s assessment of asthma control. Strong utilization was seen at the intervention’s initiation, followed by a rapid reduction in use. Patient reminders, physician visits, and being aged 50 years and above were associated with higher utilization. CLINICALTRIAL ClinicalTrials.gov NCT01964469; https://clinicaltrials.gov/ct2/show/NCT01964469


2021 ◽  
Vol 10 (3) ◽  
pp. 1405-1414
Author(s):  
Omar AlShorman ◽  
Mahmoud Saleh Masadeh ◽  
Buthaynah AlShorman

Diabetes as a chronic disease is considered to be a serious problem not only for diabetic patients but also for caregivers, families and countries. Hazardously, as an example, 16% of the Middle East population died every year because of diabetes as it is reported by World Health Organization (WHO). Therefore, it is crucial to utilize the recent advances and technologies to find the best instrument for diabetes monitoring and management. Recently, mobile health (mHealth) technologies have a vital role in the healthcare industrial world. Undoubtedly, mHealth technologies are used to manage, track, monitor, diagnose, and prevent chronic diseases including, diabetes. Certainly, the main advantages of mHealth include a real-time and continuous monitoring with high reliability, accessibility, and availability. In addition to that, mHealth is considered to be a fast, accurate, simple, cheap, comfortable, and safe technology. Hence, the proposed study aims to review existing mHealth studies for managing, diagnosing, tracking, detecting, and predicting diabetic mellitus. Moreover, challenges and future trends of this emerging topic are also discussed.


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