What is mHealth Evidence?









mHealthEvidence.org was designed to bring together the world’s literature on mHealth to make it easier for program managers, researchers, government leaders, donors, software developers, and other key decision-makers to quickly get up to speed on the current state-of-the-art and evidence-based best practices. It includes peer-reviewed and grey literature from low-, middle- and high-resource settings.
Notable Resources:
- Factors that influence the implementation of e-health: a systematic review of systematic reviews. This review provides an update and re-analysis of a systematic review of the e-health implementation literature culminating in a set of accessible and usable recommendations for anyone involved or interested in the implementation of e-health.
- A 2017 study from the Icahn School of Medicine at Mount Sinai demonstrates that conducting some studies entirely via smartphones is feasible, fruitful, and scalable: It stands up to scientific rigor, allows for large-scale participant enrollment, and captures unique environmental data not available through traditional methods.
- Guidelines for reporting of health interventions using mobile phones: mobile health (mHealth) evidence reporting and assessment (mERA) checklist. This work marks the culmination of three years of multi-institutional collaborations to determine standards for reporting digital health evidence. The authors hope that the systematic use of this checklist to report research findings will help improve the quality of digital health evidence.
- Mobile Technology in Support of Frontline Health Workers: A comprehensive overview of the landscape, knowledge gaps and future directions. This report summarizes current data from over 140 FHW-supported mHealth projects from developing countries to describe the emergent trends and best practices in the use of mobile phones, tablets, and technical platforms by FHWs over the last decade, understand the key considerations in choosing the type of phone and platform and associated programmatic costs, present the evidence on the effectiveness of mobile approaches, and establish a framework for systematically deploying such tools.