Constance Johnson

Johnson, Pereira, Hassell, Levy, Vorderstrasse Publish in JMIR Research Protocols

Constance Johnson, Katherine Pereira, Nancy Hassell, Janet Levy and Allison Vorderstrasse co-authored an article entitled "Feasibility and preliminary effects of a virtual environment for adults with type 2 diabetes: Pilot study" that has been published in JMIR (Journal of Medical Internet Research) Research Protocols.

Diabetes News Journal and Latinos Health Feature Article Coauthored by Pereira, Phillips, Johnson, Vorderstrasse

The Diabetes News Journal and Latinos Health featured an article coauthored by Kathy Pereira, Beth Phillips, Constance Johnson and Allison Vorderstrasse entitled "Internet delivered diabetes self-management education: A review" that was published in Diabetes Technology & Therapeutics.

Participants Needed for Research Study on Diabetes Self-Management and Support in Virtual Environments

Dr. Constance Johnson and Dr. Allison Vorderstrasse have begun recruiting for their Diabetes Self-Management & Support LIVE (Learning in Virtual Environments) research study. The focus of this multi-site study is to provide diabetes self-management education and support for individuals diagnosed with type 2 diabetes utilizing both a website and an online ‘virtual’ environment. If you or someone you know is interested in finding out more about the study, contact the study coordinator, Suzy Berndt, or 919-613-2635.

Five Faculty Members to Join Fellowship of American Academy of Nursing

Five Duke University School of Nursing faculty members are being inducted as Fellows of the American Academy of Nursing at their national conference October 16-18 in Washington, D.C. Constance Johnson, Robin Knobel, Katherine Pereira, Karin Reuter-Rice and Charles Vacchiano join a Duke family of 25 other FAANs in advancing the profession of nursing.

Center for Nursing Research Announces New Faculty Joining the Team

Wei Pan joins the Center for Nursing Research as the director for the Research Design and Statistics Core. Pan is a quantitative research methodologist and associate professor at DUSON. He is nationally known as an expert in the area of causal inference and propensity score analysis, and has published numerous referred journal articles on both methodological and applied research studies. His research work focuses on causal inference, advanced statistical modeling, meta-analysis, psychometrics, and their applications in the social, behavioral, and health sciences.

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