Healthcare Utilization
Data Science and Real-World Evidence
Psychometrics and Patient Reported Outcomes
Clinical Prediction Models
Richard W. Hass, PhD
Associate Professor
Program Director, PhD in Population Health Science
Program Director, Health Data Science
Associate Professor
Program Director, PhD in Population Health Science
Program Director, Health Data Science
- Population Health Science
- Health Data Science
- Public Health
- Applied Health Economics & Outcomes Research
Research & Practice Interests
Education
PhD, Psychology, Temple University, Philadelphia, PA 2009
BA, Psychology, La Salle University, Philadelphia, PA 2003
Publications
- Quantifying patient preferences for treatments for refractory chronic spontaneous urticaria
- Perceptions of Smoking Stigma Among African Americans: A Qualitative Study
- The state of interprofessional education within family medicine Graduate Medical Education: A 2022 CERA survey
- Conceptualizing self-reported adverse childhood experiences: From epidemiologic exposure to psychometric latent variable
- Validating measurement of social norms for entertainment-education: a five-factor model
Awards
- 2021 Award for Outstanding Adjunct Teaching in Population Health Science (PhD), Jefferson College of Population Health
- Daniel E. Berlyne Award for Excellence in Early Career Research, 2019 (Division 10 of the American Psychological Association)
BIOGRAPHY
Richard W. Hass, PhD, is Associate Professor in the Jefferson College of Population Health. He serves as the Program Director for both the PhD in Population Health Science and the Master's in Health Data Science programs. Dr. Hass is an accomplished quantitative scientist who began his career working at the nexus of mathematical psychology, cognitive science, and education research. Over the last 8 years his work has shifted toward three general areas: development and validation of patient-reported outcomes and experience measures,:extraction and analysis of real-world data from electronic medical records; registries; CDC national interview datasets; and investigations into the relationship between health-related social needs and healthcare utilization. This work is bolstered by collaborators in family medicine, oncology, head and neck surgery, neurology, hepatology and gastroenterology, and emergency medicine. He has authored dozens of articles on these topics, chaired several dissertation committees, and mentored countless undergraduate and graduate students on research design, statistics, and the scientific method more generally.