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

2019 ◽  
Author(s):  
Kevin Hung
Keyword(s):  
Health System ◽  
Mobile Health ◽  
Continuous Monitoring

scholarly journals mDurance: A Novel Mobile Health System to Support Trunk Endurance Assessment

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):  
Health System ◽  
Mobile Health

scholarly journals The Feasibility of a Using a Smart Button Mobile Health System to Self-Track Medication Adherence and Deliver Tailored Short Message Service Text Message Feedback

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 ◽  
...  
Keyword(s):  
Medication Adherence ◽  
Health System ◽  
Mobile Health ◽  
Short Message Service ◽  
Text Message ◽  
Short Message ◽  
Message Service

scholarly journals Lightweight Sharable and Traceable Secure Mobile Health System

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

A Mobile Health System to Empower Healthcare Services in Remote Regions

2019 ◽  
Author(s):  
Bruno M. C. Silva ◽  
Joel J. P. C. Rodrigues ◽  
Andre Ramos ◽  
Kashif Saleem ◽  
Isabel de la Torre ◽  
...  
Keyword(s):  
Health System ◽  
Mobile Health ◽  
Healthcare Services

scholarly journals A Patient-Centered Mobile Health System That Supports Asthma Self-Management (breathe): Design, Development, and Utilization (Preprint)

2018 ◽  
Author(s):  
Plinio Pelegrini Morita ◽  
Melanie S Yeung ◽  
Madonna Ferrone ◽  
Ann K Taite ◽  
Carole Madeley ◽  
...  
Keyword(s):  
Health System ◽  
Real Time ◽  
Asthma Control ◽  
Mobile Health ◽  
Peak Flow ◽  
Action Plan ◽  
Self Management ◽  
Evidence Based ◽  
Web Based ◽  
Physician Visits

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

scholarly journals Mobile health monitoring based studies for diabetes mellitus: a review

2021 ◽  
Vol 10 (3) ◽  
pp. 1405-1414
Author(s):  
Omar AlShorman ◽  
Mahmoud Saleh Masadeh ◽  
Buthaynah AlShorman
Keyword(s):  
Mobile Health ◽  
Continuous Monitoring ◽  
High Reliability ◽  
Vital Role ◽  
World Health ◽  
Diabetic Patients ◽  
Safe Technology ◽  
Health Organization ◽  
Diabetes Monitoring ◽  
Mobile Health Monitoring

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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