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Greg Arling

School of Nursing, Purdue University

Greg Arling

Dr. Arling is Professor in the School of Nursing at Purdue University and a Faculty Associate in Purdue’s Center for Aging and the Life Course. He has been a principal or co-investigator on projects supported by the Agency for Healthcare Research and Quality, Veterans Health Administration, National Institute on Aging, Centers for Medicare and Medicaid Services, and state Medicaid programs. Currently he is involved in studies evaluating access, use and outcomes of community-based long-term care programs; micro-simulation of future long-term services and supports under different demographic and policy scenarios; long-term care trajectories of older people with and without dementia; and data system development for transitions from hospital to home.


Countries United States;
Topics Care inequalities; Care integration/ coordination; Care outcomes; Care trajectories; Community-based LTC; COVID-19 and other infectious diseases and LTC; Dementia care and support; Evaluation of LTC systems and services; Financing LTC; LTC Policy; LTC Reforms; LTC Systems; New models of care; Outcome measurement in LTC; Quality and accreditation for LTC services; Relationship between LTC use and hospital use; Residential LTC services;
Methods Analysis of administrative data; Causal inference in Long-Term Care; Comparative policy analysis; Cost analysis; Data science and LTC research; Economic evaluation; Longitudinal data analysis; Mixed methods; Panel data analysis; Policy analysis; Projections; Quantitative data analysis; Quasi-experimental methods; Simulation models; Surveys; Time series analysis;
Role Research;
Interest Groups Care home markets and regulation; Community-based approaches to dementia care; Data Science; Economics of Long-Term Care; Long-Term Care Policy; Quasi-experimental methods;
Research interests

My research interests are in health care quality assessment, evaluation, and policy analysis. Much of his research has been with elderly populations in long-term care settings. He has helped develop comprehensive measures of care quality, assessed the accuracy and effectiveness of these measures, and applied them to quality improvement, public reporting and pay-for-performance. He also has studied transitions between care settings, such as hospital, nursing home, and community; quality and outcomes of care after a stroke; and, projections of future use and costs of long-term supports and services.