Learn about how to listen to your target market to create a viable mHealth app/intervention from the Digital Health Initiative at CHOP.
Read this third installment in a 6-part series on effective mHealth app development. Today's post is about how to use theory and evidence to guide app development.
Learn why when planning an mHealth intervention, it's important to understand the problem and your audience. This informative post is the second in a six-part series on mHealth app development.
Learn about the best practice approaches and steps for developing mHealth apps that have the best chance of improving health from Linda Fleisher, PhD, who leads the Digital Health Initiative at CHOP.
Two overarching themes are beginning to emerge in digital health that are important to public health and align well with CIRP@CHOP’s own digital health research: engagement and effectiveness. Although not new to the digital health research field, they are becoming a priority.
The digital health world is buzzing with recent news about a proposed bill to reduce U.S. Food and Drug Administration (FDA) regulation on “low risk” mobile medical technologies, such as health apps for smartphones that provide health education, management and prevention tools for practitioners and patients. The bill, Preventing Regulatory Overreach to Enhance Care Technology (PROTECT) Act of 2014, aims to amend FDA regulatory guidance on mobile health technologies that are of “low risk” to patient safety. Here's what you should know about the bill.
Read a guest blog post from Darshan Donthi, a sophomore at Drexel University, who shares his insights about about his time as a Drexel co-op student at CIRP@CHOP.
Many of us care deeply about health disparities and are exploring new ways to reach the more vulnerable groups. These disparities include differences in incidence (new cases), prevalence (all existing cases), death (mortality), survivorship, and overall burden of health conditions that exist among specific population groups. They are found among different racial/ethnic groups and in certain communities and underserved groups, such as rural areas and older people. Why do these health disparities exist? The reasons are complex due to many factors, as Linda Fleisher, PhD, MPH, who leads the Digital Health Initiative at the Center for Injury Research and Prevention at CHOP, explains.
You can’t deny the fact that Twitter has become a dominant force in the micro-blogging realm. Read why Venk Kandadai, technology manager for the Digital Health Initiative (DHI) at the Center for Injury Research and Prevention (CIRP), thinks Twitter may have the potential to bridge the gap between scientific innovation and effective dissemination.
Last month I had the pleasure of attending the 5th annual mHealth Summit outside of Washington DC and presenting at its Pharmaceuticals and Life Sciences Roundtable. Over 5,000 people attended, representing a broad array of stakeholders in mHealth (aka “mobile health”) including the federal government, academia, the health care industry, software development, and small business. Across all the great discourse I heard a common theme: that innovations in mHealth, such as health apps for smartphones and web-based health interventions, will only survive in the long-term if they are actually effective at improving health! This got me thinking about how we’re focusing on the letter “E” in our Digital Health research at CIRP@CHOP: through evidence, evaluation, ecosystem, and engagement.