Linda Wastila, BSPharm, PhD, professor and vice chair of research in the Department of Pharmaceutical Health Services Research, has been involved in research focusing on prescription drug issues for more than 15 years.

Research Interests:

As a health services researcher, she has examined issues such as access to prescription drugs, outcomes related to reduced prescription drug access, cost and financing of prescription drug benefits and programs, appropriateness of drug prescribing, outcomes associated with inappropriate prescribing, and prescription drug misuse and abuse. Her primary research interests are listed here.

  • Pharmaceutical policy: Prescription drug monitoring programs, opioid analgesic prevention, antipsychotic use in nursing facilities
  • Prescription drug abuse in older adults
  • Psychopharmacological medication use, quality, and outcomes in nursing facility residents
  • GIS Mapping:¬†met and unmet pharmaceutical¬†treatment and resource needs
  • Comparative effectiveness research: mental health, multimorbidity

Current Projects:

Maryland Statewide Epidemiological Outcomes Workgroup (SEOW)
The Maryland Statewide Epidemiological Outcomes Workgroup (SEOW) is a partnership between the University of Maryland School of Pharmacy and the Alcohol and Drug Abuse Administration (ADAA) of the State of Maryland Department of Health and Mental Hygiene (DHMH). The SEOW provides state substance abuse prevention and treatment providers, policy-makers, researchers, and citizens with information about the consumption, risk factors, and consequences associated with alcohol, tobacco, and drug use in Maryland.

Quality of Psychopharmacological Medication Prescribing in Nursing Home Residents
Funded by the Research Retirement Foundation, the purpose of this research is to develop psychopharmacological medication quality indicators (PMQIs) in order to encourage appropriate psychopharmacological medication use in long-term care residents. We apply rigorous multivariable analytic approaches to longitudinal and nationally-representative Medicare administrative data of nursing home residents linked to Part D prescription drug event and Minimum Data Set files. Using this novel dataset, we benchmark the prevalence and quality of psychopharmacological medications prescribed in nursing homes, and how use and quality influences important clinical outcomes, including mortality, falls, hip fracture, and cognitive and physical functioning.