Health Communication Commons^™

Using Education To Confidently Identify And Report Concerns Of Child Abuse And Neglect: A Qualitative Improvement Initiative Through Staff Development, Sarah E. Neilson

Master's Theses and Capstones

BACKGROUND: Pre-licensure education on child abuse and neglect is crucial for nurses in the healthcare field. It helps to equip them with the knowledge and skills necessary to effectively identify, report, and intervene in cases of child abuse and neglect. Having this education available and understanding the signs and effects of child abuse and neglect, empowers nurses to take quick and decisive action in early intervention and prevention. Within the microsystem of a local Operating Room (OR), this quality improvement (QI) project will determine the muchneeded addition to the healthcare curriculum.

METHODS: The Plan, Do, Study, Act (PDSA) framework was …

Examining The Effect Of Physician Language On Physician Impressions, Kathleen L. Hopps, Anna H. Rini, Maggie E. Williams, Gina A. Paganini, E. Paige Lloyd

DU Undergraduate Research Journal Archive

Previous research provides evidence that stigma can be perpetuated through language with consequences for well-being and quality of care. For example, providers who use stigmatizing language transmit bias toward patients with implications for care provided by other healthcare professionals. The current work extends upon this research by investigating perceptions of physicians who use stigmatizing or humanizing language. The current work sought to document the negative consequences of providers’ indelicate language on impressions of the provider, thereby motivating thoughtful language choices. To this end, the current work experimentally manipulated the language (stigmatizing, identity-first and destigmatizing, person-first) that hypothetical providers used to …

Investigating The Impact Of Explanation On Repairing Trust In Ai Diagnostic Systems For Re-Diagnosis, Lamia Alam

Dissertations, Master's Theses and Master's Reports

AI systems are increasingly being fielded to support diagnoses and healthcare advice for patients. One promise of AI application is that they might serve as the first point of contact for patients, replacing routine tasks, and allowing health care professionals to focus on more challenging and critical aspects of healthcare. For AI systems to succeed, they must be designed based on a good understanding of how physicians explain diagnoses to patients, and how prospective patients understand and trust the systems providing the diagnosis, as well as the explanations they expect. In this thesis, I examine this problem across three studies. …