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CONSORT-EHEALTH: Improving and Standardizing Evaluation Reports of Web-based and Mobile Health Interventions

CONSORT-EHEALTH: Improving and Standardizing Evaluation Reports of Web-based and Mobile Health Interventions

Without funding, our initial plan to use a 3-phase process of premeeting item generation, a meeting with invited stakeholders, and postmeeting consolidation, had to be modified, with only a very short face-to-face workshop in the context of a scientific meeting

Gunther Eysenbach, CONSORT-EHEALTH Group

J Med Internet Res 2011;13(4):e126


Metadata Correction: Direct Adherence Measurement Using an Ingestible Sensor Compared With Self-Reporting in High-Risk Cardiovascular Disease Patients Who Knew They Were Being Measured: Prospective Intervention

Metadata Correction: Direct Adherence Measurement Using an Ingestible Sensor Compared With Self-Reporting in High-Risk Cardiovascular Disease Patients Who Knew They Were Being Measured: Prospective Intervention

In the paper by David Thompson et al, “Direct Adherence Measurement Using an Ingestible Sensor Compared With Self-Reporting in High-Risk Cardiovascular Disease Patients Who Knew They Were Being Measured: A Prospective Intervention” (JMIR Mhealth Uhealth 2017

David Thompson, Teresa Mackay, Maria Matthews, Judith Edwards, Nicholas S Peters, Susan B Connolly

JMIR Mhealth Uhealth 2018;6(4):e13


Development of Smartphone Applications for Nutrition and Physical Activity Behavior Change

Development of Smartphone Applications for Nutrition and Physical Activity Behavior Change

Native apps run locally on a smartphone’s operating system in a way that is analogous to programs running on a desktop computer.

Lana Hebden, Amelia Cook, Hidde P. van der Ploeg, Margaret Allman-Farinelli

JMIR Res Protoc 2012;1(2):e9