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1.
Comput Methods Programs Biomed ; 142: 81-89, 2017 Apr.
Article in English | MEDLINE | ID: mdl-28325449

ABSTRACT

BACKGROUND AND OBJECTIVE: Tobacco smoking is a major risk factor for a wide range of respiratory and circulatory diseases in active and passive smokers. Well-designed campaigns are raising awareness to the problem and an increasing number of smokers seeks medical assistance to quit their habit. In this context, there is the need to develop mHealth Apps that assist and manage large smoke quitting programs in efficient and economic ways. OBJECTIVES: Our main objective is to develop an efficient and free mHealth app that facilitates the management of, and assistance to, people who want to quit smoking. As secondary objectives, our research also aims at estimating the economic effect of deploying that App in the public health system. METHODS: Using JAVA and XML we develop and deploy a new free mHealth App for Android, called TControl (Tobacco-quitting Control). We deploy the App at the Tobacco Unit of the Santa Maria Hospital in Lleida and determine its stability by following the crashes of the App. We also use a survey to test usability of the app and differences in aptitude for using the App in a sample of 31 patients. Finally, we use mathematical models to estimate the economic effect of deploying TControl in the Catalan public health system. RESULTS: TControl keeps track of the smoke-quitting users, tracking their status, interpreting it, and offering advice and psychological support messages. The App also provides a bidirectional communication channel between patients and clinicians via mobile text messages. Additionally, registered patients have the option to interchange experiences with each other by chat. The App was found to be stable and to have high performances during startup and message sending. Our results suggest that age and gender have no statistically significant effect on patient aptitude for using TControl. Finally, we estimate that TControl could reduce costs for the Catalan public health system (CPHS) by up to € 400M in 10 years. CONCLUSIONS: TControl is a stable and well behaved App, typically operating near optimal performance. It can be used independent of age and gender, and its wide implementation could decrease costs for the public health system.


Subject(s)
Mobile Applications , Smoking Cessation/methods , Smoking/adverse effects , Telemedicine/methods , Adult , Aged , Cell Phone , Female , Follow-Up Studies , Health Promotion , Humans , Male , Middle Aged , Models, Theoretical , Odds Ratio , Reminder Systems , Reproducibility of Results , Spain , Surveys and Questionnaires , Text Messaging , Nicotiana
2.
Appl Clin Inform ; 7(4): 1120-1134, 2016 12 07.
Article in English | MEDLINE | ID: mdl-27924346

ABSTRACT

BACKGROUND: Hypertension or high blood pressure is on the rise. Not only does it affect the elderly but is also increasingly spreading to younger sectors of the population. Treating this condition involves exhaustive monitoring of patients. The current mobile health services can be improved to perform this task more effectively. OBJECTIVE: To develop a useful, user-friendly, robust and efficient app, to monitor hypertensive patients and adapted to the particular requirements of hypertension. METHODS: This work presents BPcontrol, an Android and iOS app that allows hypertensive patients to communicate with their health-care centers, thus facilitating monitoring and diagnosis. Usability, robustness and efficiency factors for BPcontrol were evaluated for different devices and operating systems (Android, iOS and system-aware). Furthermore, its features were compared with other similar apps in the literature. RESULTS: BPcontrol is robust and user-friendly. The respective start-up efficiency of the Android and iOS versions of BPcontrol were 2.4 and 8.8 times faster than a system-aware app. Similar values were obtained for the communication efficiency (7.25 and 11.75 times faster for the Android and iOS respectively). When comparing plotting performance, BPcontrol was on average 2.25 times faster in the Android case. Most of the apps in the literature have no communication with a server, thus making it impossible to compare their performance with BPcontrol. CONCLUSIONS: Its optimal design and the good behavior of its facilities make BPcontrol a very promising mobile app for monitoring hypertensive patients.


Subject(s)
Hypertension/diagnosis , Mobile Applications , Monitoring, Physiologic/methods , Telemedicine/methods , Algorithms , Blood Pressure , Humans , Hypertension/physiopathology , Monitoring, Physiologic/statistics & numerical data , Telemedicine/statistics & numerical data , User-Computer Interface
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