Newsmakers in Research
Equipping nurses to address vaccine hesitancy
Addressing vaccine hesitancy by educating future nurses “could be a real game-changer in our fight against COVID-19,” said Assistant Professor Barbara Hekel, PhD, RN, CHPN. She and Associate Professor Bridgette Pullis, PhD, RN, CHPN, are using a pilot grant to develop curriculum for students at Cizik School of Nursing at UTHealth Houston.
Biobank facilitates research into genetic markers for aortic dissection
The first cross-institutional biospecimen share facilitated by The University of Texas System Health Biobank (UTSHB) Consortium will help McGovern Medical School at UTHealth Houston researchers find novel genetic markers for thoracic aortic dissection using control samples from The University of Texas Health San Antonio.
Noted nurse scientist joins Cizik School of Nursing at UTHealth Houston
Cizik School of Nursing at UTHealth Houston welcomes noted nurse scientist Chao Hsing Yeh, PhD, MSN, RN, FAAN, as the newest professor in our Department of Research effective November 1, 2021. Yeh specializes in nonpharmacological pain management strategies and brings a well-funded program of research.
Cizik School of Nursing Researcher to Study Symptom Management of HIV Positive Patients
The Texas Development Center for AIDS Research (D-CFAR) is only a few months old, and Cizik School of Nursing at UTHealth Houston Assistant Professor Meagan Whisenant PhD, APRN, is already getting to work studying symptoms associated with HIV treatment using a grant funded through the center.
Kobeissi, Ruppert set out considerations for telehealth triage
Cizik School of Nursing at UTHealth Houston Assistant Professor Mitzy Kobeissi, DNP, FNP-C, wants to develop a triage algorithm to help health care providers determine whether virtual visits are appropriate for specific patients. A recently published paper she co-authored with Associate Dean for Graduate Studies Susan Ruppert, PhD, FNP-C, ANP-BC, FAAN, lists considerations and best practices to help avoid underestimating the severity of illness in remote patients.