OUR PEOPLE
Ulrike Muench, PhD, RN, FAAN
Professor
School of Nursing
490 Illinois Street
San Francisco, CA 94158
Image
Education and Training
Yale University, MSN - 2005 Yale School of Nursing
Yale University, PhD - 2012 Yale School of Nursing
Vanderbilt University, Postdoctoral Fellowship - 2014 Vanderbilt School of Nursing & Center for Interdisciplinary Health Workforce Studies
Awards and Honors
New Investigator Award, Academy Health - Interdisciplinary Research Group on Nursing Issues, 2016
Fellow Induction, The American Academy of Nursing, 2018
Mentoring Award, UCSF School of Nursing, 2019
Overview
Dr. Ulrike (Ulli) Muench is Professor in the Department of Social and Behavioral Sciences in the UCSF School of Nursing and affiliated faculty at the Philip R. Lee Institute for Health Policy Studies and the UCSF Division of Clinical Informatics and Digital Transformation (DoC-IT). She is a health services and policy researcher with training in applied economics and a clinical background as a nurse and nurse practitioner. Her research focuses on the healthcare workforce, care delivery, and the quality and equity of care for older adults.
Dr. Muench’s research examines healthcare workforce and policy and clinician practice and care delivery. Her workforce research addresses gender and racial and ethnic inequities, workforce participation and mobility, and the effects of policies on clinical practice and care delivery. She has conducted extensive research on nurse practitioners and other clinicians, including studies of prescribing and practice patterns, scope-of-practice regulation, and clinician contributions to primary care, behavioral health, and nursing home care.
A growing area of her research examines care delivery for older adults, particularly people living with cognitive impairment and dementia, across primary care, nursing homes, and home health settings. Within this work, she has developed a particular focus on pain and pain treatment, including disparities in pain care, changes in treatment as cognitive and communication abilities decline, and relationships among chronic pain, depression, cognitive aging, and dementia. She is a Project MPI in the NIA-funded Triangulation of Innovative Methods to End Alzheimer’s Disease (TIME-AD) program project, where she co-leads research on depression and chronic pain as potentially modifiable factors in cognitive aging and Alzheimer’s disease and related dementias.
Methodologically, Dr. Muench specializes in quantitative health services research using large administrative, clinical, survey, and workforce datasets. She has particular expertise in Medicare and other CMS data, including the Minimum Data Set (MDS), and extensive experience with nationally representative surveys, including the Medical Expenditure Panel Survey (MEPS), American Community Survey (ACS), Current Population Survey (CPS), American Time Use Survey (ATUS), and National Sample Survey of Registered Nurses (NSSRN). Her research includes linking data across sources, identifying clinician care in administrative claims, evaluating state policy changes, and applying causal inference methods to observational data. As a Co-Investigator on the NIA-funded National Dementia Workforce Study (NDWS), she contributes to survey development, scope-of-practice data, and linkage of national workforce surveys with Medicare and other administrative data.
Dr. Muench trained as a registered nurse in the United Kingdom and completed her nurse practitioner training in Adult and Women’s Health and her PhD in Nursing at Yale University. She completed a postdoctoral fellowship in health services research at Vanderbilt University before joining UCSF in 2014.
Dr. Muench welcomes inquiries from prospective PhD students interested in quantitative health services and policy research, including healthcare workforce and policy, care delivery for older adults, aging and dementia, and pain, as well as students seeking advanced training in quantitative methods.
Dr. Muench’s research examines healthcare workforce and policy and clinician practice and care delivery. Her workforce research addresses gender and racial and ethnic inequities, workforce participation and mobility, and the effects of policies on clinical practice and care delivery. She has conducted extensive research on nurse practitioners and other clinicians, including studies of prescribing and practice patterns, scope-of-practice regulation, and clinician contributions to primary care, behavioral health, and nursing home care.
A growing area of her research examines care delivery for older adults, particularly people living with cognitive impairment and dementia, across primary care, nursing homes, and home health settings. Within this work, she has developed a particular focus on pain and pain treatment, including disparities in pain care, changes in treatment as cognitive and communication abilities decline, and relationships among chronic pain, depression, cognitive aging, and dementia. She is a Project MPI in the NIA-funded Triangulation of Innovative Methods to End Alzheimer’s Disease (TIME-AD) program project, where she co-leads research on depression and chronic pain as potentially modifiable factors in cognitive aging and Alzheimer’s disease and related dementias.
Methodologically, Dr. Muench specializes in quantitative health services research using large administrative, clinical, survey, and workforce datasets. She has particular expertise in Medicare and other CMS data, including the Minimum Data Set (MDS), and extensive experience with nationally representative surveys, including the Medical Expenditure Panel Survey (MEPS), American Community Survey (ACS), Current Population Survey (CPS), American Time Use Survey (ATUS), and National Sample Survey of Registered Nurses (NSSRN). Her research includes linking data across sources, identifying clinician care in administrative claims, evaluating state policy changes, and applying causal inference methods to observational data. As a Co-Investigator on the NIA-funded National Dementia Workforce Study (NDWS), she contributes to survey development, scope-of-practice data, and linkage of national workforce surveys with Medicare and other administrative data.
Dr. Muench trained as a registered nurse in the United Kingdom and completed her nurse practitioner training in Adult and Women’s Health and her PhD in Nursing at Yale University. She completed a postdoctoral fellowship in health services research at Vanderbilt University before joining UCSF in 2014.
Dr. Muench welcomes inquiries from prospective PhD students interested in quantitative health services and policy research, including healthcare workforce and policy, care delivery for older adults, aging and dementia, and pain, as well as students seeking advanced training in quantitative methods.