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Content Analysis of Smartphone Apps for Smoking Cessation in China: Empirical Study

Content Analysis of Smartphone Apps for Smoking Cessation in China: Empirical Study

Because of the portability of smartphones, which enable access 24 hours a day, long-term management and reinforcement of health behaviors via smartphone apps has promise [16-20].

Feng Cheng, Junfang Xu, Chunyan Su, Xiaoxing Fu, Jonathan Bricker

JMIR Mhealth Uhealth 2017;5(7):e93


Mixed-Methods Analysis of Factors Impacting Use of a Postoperative mHealth App

Mixed-Methods Analysis of Factors Impacting Use of a Postoperative mHealth App

m Health interventions such as smartphone apps have the potential to revolutionize care coordination and communication, but limited data exist on their use in perioperative settings [18].

Aaron R Scott, Elizabeth A Alore, Aanand D Naik, David H Berger, James W Suliburk

JMIR Mhealth Uhealth 2017;5(2):e11


A Smartphone App to Assess Alcohol Consumption Behavior: Development, Compliance, and Reactivity

A Smartphone App to Assess Alcohol Consumption Behavior: Development, Compliance, and Reactivity

Nonetheless, there are a number of development and methodological concerns pertaining to assessing alcohol consumption behavior via smartphone apps that warrant further investigation.

Antoinette Poulton, Jason Pan, Loren Richard Bruns Jr, Richard O Sinnott, Robert Hester

JMIR Mhealth Uhealth 2019;7(3):e11157


Low-Burden Mobile Monitoring, Intervention, and Real-Time Analysis Using the Wear-IT Framework: Example and Usability Study

Low-Burden Mobile Monitoring, Intervention, and Real-Time Analysis Using the Wear-IT Framework: Example and Usability Study

The Wear-IT framework [21] is a combination of web interfaces, cloud tools, and smartphone apps designed to carefully balance the data needs of researchers, medical doctors, and clinicians with the burden placed on participants.

Timothy R Brick, James Mundie, Jonathan Weaver, Robert Fraleigh, Zita Oravecz

JMIR Form Res 2020;4(6):e16072