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Guidelines and mHealth to Improve Quality of Hypertension and Type 2 Diabetes Care for Vulnerable Populations in Lebanon: Longitudinal Cohort Study

Data from phone interviews and record reviews were collected at the end of each study phase (guidelines and mHealth).

Shannon Doocy, Kenneth E Paik, Emily Lyles, Hok Hei Tam, Zeina Fahed, Eric Winkler, Kaisa Kontunen, Abdalla Mkanna, Gilbert Burnham

JMIR Mhealth Uhealth 2017;5(10):e158

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An mHealth Intervention Using a Smartphone App to Increase Walking Behavior in Young Adults: A Pilot Study

Novel mHealth technologies (eg, FitBits, Garmin watches, mobile phones), and in particular mobile phone apps, offer new possibilities that facilitate users to engage in behaviors such as planning, goal-setting, self-monitoring, and receiving continuous feedback

Jane C Walsh, Teresa Corbett, Michael Hogan, Jim Duggan, Abra McNamara

JMIR Mhealth Uhealth 2016;4(3):e109

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A Call to Digital Health Practitioners: New Guidelines Can Help Improve the Quality of Digital Health Evidence

In October 2012, WHO convened an expert working group led by the Johns Hopkins Global mHealth Initiative to develop an approach for the mERA guideline.

Smisha Agarwal, Amnesty E Lefevre, Alain B Labrique

JMIR Mhealth Uhealth 2017;5(10):e136

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A Call for a Public Health Agenda for Social Media Research

Sherry Pagoto, Molly E Waring, Ran Xu

J Med Internet Res 2019;21(12):e16661

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Investigating the Adoption of Mobile Health Services by Elderly Users: Trust Transfer Model and Survey Study

of mHealth services by elderly users.

Fanbo Meng, Xitong Guo, Zeyu Peng, Kee-Hung Lai, Xinli Zhao

JMIR Mhealth Uhealth 2019;7(1):e12269

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Development of an mHealth platform for HIV Care: Gathering User Perspectives Through Co-Design Workshops and Interviews

of mHealth interventions [17,19].

Benjamin Marent, Flis Henwood, Mary Darking, EmERGE Consortium

JMIR Mhealth Uhealth 2018;6(10):e184

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Who is Tracking Health on Mobile Devices: Behavioral Logfile Analysis in Hong Kong

According to a population-based survey in Germany in 2015, 21% of smartphone users adopt mHealth apps [9]. Demographic factors are found to predict the adoption and use of mHealth apps.

Lu Guan, Tai-Quan Peng, Jonathan JH Zhu

JMIR Mhealth Uhealth 2019;7(5):e13679

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Understanding Determinants of Consumer Mobile Health Usage Intentions, Assimilation, and Channel Preferences

associated with consumers’ mHealth acceptance: (1) mHealth usage intentions (ie, intention to use mHealth for nonadopters and intention to continue using mHealth for adopters) and, (2) mHealth assimilation (ie, combined, staged measure ranging from extent

Arun Rai, Liwei Chen, Jessica Pye, Aaron Baird

J Med Internet Res 2013;15(8):e149

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Using Social Networking to Understand Social Networks: Analysis of a Mobile Phone Closed User Group Used by a Ghanaian Health Team

methods, it was believed that the evaluation of the relational ties would allow for more in-depth analysis of the social context in which the closed user group was introduced, potentially changed, and now operates.For the purposes of this paper, mobile health (mHealth

Nadi Nina Kaonga, Alain Labrique, Patricia Mechael, Eric Akosah, Seth Ohemeng-Dapaah, Joseph Sakyi Baah, Richmond Kodie, Andrew S. Kanter, Orin Levine

J Med Internet Res 2013;15(4):e74

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Considerations for Improved Mobile Health Evaluation: Retrospective Qualitative Investigation

The lack of a unified or standardized approach to mHealth evaluation is a major weakness and threatens the credibility of mHealth [9] as a premature scale-up of an mHealth initiative could harm the entire field [10,23].Objective of the StudyThe aim of this

Samantha Dick, Yvonne O'Connor, Matthew J Thompson, John O'Donoghue, Victoria Hardy, Tsung-Shu Joseph Wu, Timothy O'Sullivan, Griphin Baxter Chirambo, Ciara Heavin

JMIR Mhealth Uhealth 2020;8(1):e12424

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