Dr. Intrator is an an applied statistician and health services researcher. Her work has been funded by grants from AHRQ, NIA, the Israeli National Science Foundation, and National Institute for Health Care Policy and Research. Dr. Intrator is a Fellow of InterRAI, an international organization devoted to the development of standardized assessment tools for evaluation of care of the elderly world-wide, and to the conduction of cross-national studies.

Dr. Intrator studies hospitalizations from nursing home, post acute care, and costs of nursing home residents using matched Minimum Data Set resident assessments from nursing homes with Medicare claims data, and nursing home organizational strategies. She is currently studying the effects of state policies on the development of medical infrastructure in NHs necessary to prevent unnecessary hospitalizations, and on changes in state policies and their effect on changing NH quality. Dr. Intrator has led the development of the Residential History File, a methodology which uses Medicare claims and nursing home MDS assessments data to create a file that tracks Medicare beneficiaries' health service utilization and residences, including permanent nursing home placement. This new research tool has been used in many studies at the Center, ranging from assessment of post acute care to end of life care.

Dr. Intrator is an expert in the application of multi-level models and propensity methods to NHs. Dr. Intrator developed nonparametric statistical methods for survival data and semi Markov processes, and has written about interpretation of neural network models. Along with Tony Lancaster, she developed a novel approach to model utilization in the face of informative censoring. In a recent collaboration with Drs. Jason Roy and Susan Miller, she has been modeling total costs of dually-eligible nursing home patients at the end of life.

Publications:

Feng, Z., Grabowski, D.C., Intrator, O., V. Mor. 2006. “The Effect of State Medicaid Case-Mix Payment on Nursing Home Resident Acuity” Health Services Research 41:4, Part 1, 1317-1336.

Intrator O, Feng Z, Mor V, Gifford D, Bourbonierre M, Zinn, J. The availability of nurse practitioners and physician assistants in nursing homes. The Gerontologist, 45(4): 486-495.

Intrator O, Mor V. Impact of State Medicaid Payment Rates on Hospitalizations from Nursing Home. JAGS, 52: 393-398, 2004.

Miller SC, Intrator O, Gozalo P, Roy J, Barber J, Mor V. Government Expenditures at the End of Life for Short- and Long-Stay Nursing Home Residents: Differences by Hospice Enrollment Status. To appear in JAGS, 2004.

Intrator O, Mor V, Zinn J. Nursing Homes Characteristics and Potentially Preventable Hospitalization of Long-Stay Residents. Journal of the American Geriatrics Society, 52:1730-1736, 2004.

Grabowski DC, Feng Z, Intrator O, Mor V. Recent Trends in Medicaid Payment and State Nursing Home Policies. Health Affairs, Web exclusive June 16, 2004. 10.1377/hlthaff.w4.363.

Feng Z, Katz P, Intrator O, Karuza J, Mor V. The report of nursing home staffing data: Validating the OSCAR data for research and policy implications. To Appear in Journal of the American Medical Directors Association, January 2005.

Intrator O, Castle N, Mor V. Facility Characteristics Associated With Hospitalization of Nursing Home Residents: Results of a National Study. Medical Care, 37(3):228-237, 1999.

Intrator O, Berg K. Benefits of Home Health Care Following Inpatient Rehabilitation for Hip Fracture: Health Service Use by Medicare Beneficiaries: 1987-1992. Archives of Physical Medicine and Rehabilitation, 79: 1195-1199, 1998.

Lancaster T, Intrator O. Panel Data With Survival: Hospitalization of HIV Patients. Journal of the American Statistical Association, 93(441): 46-53, 1998.

Intrator O, Intrator N. Interpreting Neural Network Results: A Simulation Study. Computational Statistics and Data Analysis, 37(3): 373-393, 2001.

Piette J, Intrator O, Zierler S, Mor V, Stein M. Differences in Case Fatality Rates for Aids Patients: Application of a New Methodology for Survival Research. Epidemiology:310-318, 1992.