Ha Do Byon headshot
HB

Ha Do Byon

Assistant Professor of Nursing
Scholar
Unit: School of Nursing
Department: School of Nursing
Office location and address
McLeod 5039
202 Jeanette Lancaster Way
Charlottesville, Virginia 22903
Biography

Ha Do Byon earned his PhD from the University of Maryland School of Nursing and dual master's degrees in public health and community/public health nursing from Hunter College's School of Public Health and its School of Nursing. His dissertation - “Exploration of risk factors for client violence toward direct care workers in the home setting using an ecological model” - cemented his scholarly focus on the myriad challenges and issues faced by home care workers, clinicians, and non-clinicians. His research currently focuses on preventing workplace violence and improving incidents reporting in the community settings. 

Ha Do employs both quantitative and qualitative research methods in his research. He especially has expertise in applying advanced statistical methods including latent class analysis, multilevel modeling, and complex survey data analysis. He teaches graduate nursing courses in statistics and was a clinical preceptor for community health practicum. He was a home-visiting community health nurse for low-income, elderly residents with the Brooklyn-based Metropolitan Jewish Health System and with the Harlem-based Union Settlement Homecare in New York City.

NR-Virginia Food Pantry Evaluation
Source: The University of Kentucky Research Foundation
August 01, 2019 – April 30, 2022
NR-Identifying documentation of workplace violence towards home healthcare nurses in clinical notes: A text mining study
Source: Visiting Nurse Service of New York
September 01, 2020 – November 30, 2021
NUIP 4430: Introduction to Statistics in Health Care Research
Credits: 3
This course is an introduction to data analysis for nursing and healthcare-related research. Course emphasis is on practical application and understanding how the research question drives the choice of particular statistical procedures. Descriptive and univariate inferential statistics will be covered. Students will learn how to create and manage simple databases in SPSS, interpret SPSS outputs, and draw statistical conclusions.
GNUR 5410: Theory and Evidence-Based Practice
Credits: 4
This course provides an overview of nursing and health care related theory, research and evidence based practice. Students develop the basic skills and knowledge to critique individual research studies, conduct systematic literature reviews, and use these abilities to address immediate clinical nursing problems. Students learn to identify health outcomes and important related outcome measures. Prerequisite: Second year standing in CNL program.
GNUR 6054: Research and Biostatistical Processes for Health Care
Credits: 4
This course provides an introduction to nursing and health care-related research and bio-statistical analysis. This course provides the basic skills and knowledge to critique research, develop a research plan, and to develop an evidence-based practice. Prerequisite: Undergraduate or graduate applied statistics course within the past five years.
GNUR 8250: Applied Statistics for Clinical Practice
Credits: 3
This course extends basic biostatistics competencies with a goal to provide a working knowledge of common descriptive and inferential statistics used in evidence-based practice. An applied approach is taken utilizing a statistical software. Accurate interpretation and reporting and critical evaluation of statistical evidence in relation to the study design are emphasized. Prerequisite: Master's-level nursing research course.
GNUR 8620: Quality and Safety in Healthcare Systems
Credits: 3
Builds on knowledge essential to conducting health services research, including social, economic, ethical, and political uses that influence health policy. Develops conceptual and methodological competencies related to research on health services organization, financing, and delivery. Uses evaluation research methods to examine the effects of interventions on outcomes, such as quality and cost. Discusses the role of databases and health informatics in service research. Prerequisite: Doctoral standing, a master's-level health policy course and GNUR 6470 or 8650 (to be taken previously or concurrently) is recommended.
GNUR 9110: Research Practicum I
Credits: 1–4
This course provides the student with opportunity to develop and refine research skills by participating in an ongoing research study. Students should plan on devoting 8 hours a week for each 9110 credit enrolled each semester. Students must register for GNUR 9110 for a total of 4 credits. Prerequisite: Permission of instructor and advisor.
GNUR 9998: Doctoral Research
Credits: 1–12
Students register for GNUR 9998 concurrently with course work until the dissertation proposal is successfully defended. Credits from non-topical research are not counted in the total program hours of credit. Prerequisite: Permission of faculty advisor.