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Full-Text Articles in Health and Medical Administration

Feasibility Of A Mindfulness Education Module For Nurses: An Evidence-Based Practice Project, Executive Summary, Emily Looper, Palmer Gleason, Dr. Katherine Newnam Dec 2022

Feasibility Of A Mindfulness Education Module For Nurses: An Evidence-Based Practice Project, Executive Summary, Emily Looper, Palmer Gleason, Dr. Katherine Newnam

Graduate Publications and Other Selected Works - Doctor of Nursing Practice (DNP)

Nurse burnout is a well-defined problem that has been exacerbated by the COVID-19 pandemic and negatively affects nurses’ mental health, nursing shortages, patient safety, and quality of care. Evidence shows that mindfulness is an effective strategy for managing stress and decreasing burnout in nurses. This article describes an evidence-based practice project that translated this evidence into practice via a vetted mindfulness educational intervention for nurses in intensive care and acute care settings. The purpose of this project was to assess the feasibility of this educational intervention, processes, and outcomes with the goal to extend the project hospital-wide. Pre-intervention levels of …


Design And Development Of The Urban Population Health Observatory To Improve Disease Surveillance And Response, Whitney Brakefield May 2022

Design And Development Of The Urban Population Health Observatory To Improve Disease Surveillance And Response, Whitney Brakefield

Doctoral Dissertations

Chronic and infectious diseases have a profound impact on the quality and length of life of populations that suffer from these conditions. Scientists, physicians, and health officials are seeking innovative approaches to decrease the morbidity and mortality of deadly diseases. Incorporating artificial intelligence and data science techniques across the health science domain could improve disease surveillance, intervention planning, and policymaking. In this dissertation, we describe the design and development of the Urban Population Health Observatory (UPHO), an explainable knowledge-based multimodal big data analytics platform. A common challenge for conducting multimodal big data analytics is integrating multidimensional heterogeneous data sources, which …