Address correspondence to Rachel M. Werner, M.D., Ph.D., Center for Health Equity Research and Promotion, Philadelphia VAMC, Division of General Internal Medicine, University of Pennsylvania School of Medicine, 1230 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104; e-mail: email@example.com. R. Tamara Konetzka, Ph.D., is with the Department of Health Studies, University of Chicago, Chicago, IL. Elizabeth A. Stuart, Ph.D., is with the Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD. Daniel Polsky, Ph.D., is with the Division of General Internal Medicine, University of Pennsylvania School of Medicine, Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA.
Changes in Patient Sorting to Nursing Homes under Public Reporting: Improved Patient Matching or Provider Gaming?
Article first published online: 24 NOV 2010
© Health Research and Educational Trust
Health Services Research
Volume 46, Issue 2, pages 555–571, April 2011
How to Cite
Werner, R. M., Konetzka, R. T., Stuart, E. A. and Polsky, D. (2011), Changes in Patient Sorting to Nursing Homes under Public Reporting: Improved Patient Matching or Provider Gaming?. Health Services Research, 46: 555–571. doi: 10.1111/j.1475-6773.2010.01205.x
- Issue published online: 3 MAR 2011
- Article first published online: 24 NOV 2010
- Public reporting;
- quality of care;
- nursing home quality
Objective. To test whether public reporting in the setting of postacute care in nursing homes results in changes in patient sorting.
Data Sources/Study Setting. All postacute care admissions from 2001 to 2003 in the nursing home Minimum Data Set.
Study Design. We test changes in patient sorting (or the changes in the illness severity of patients going to high- versus low-scoring facilities) when public reporting was initiated in nursing homes in 2002. We test for changes in sorting with respect to pain, delirium, and walking and then examine the potential roles of cream skimming and downcoding in changes in patient sorting. We use a difference-in-differences framework, taking advantage of the variation in the launch of public reporting in pilot and nonpilot states, to control for underlying trends in patient sorting.
Principal Findings. There was a significant change in patient sorting with respect to pain after public reporting was initiated, with high-risk patients being more likely to go to high-scoring facilities and low-risk patients more likely to go to low-scoring facilities. There was also an overall decrease in patient risk of pain with the launch of public reporting, which may be consistent with changes in documentation of pain levels (or downcoding). There was no significant change in sorting for delirium or walking.
Conclusions. Public reporting of nursing home quality improves matching of high-risk patients to high-quality facilities. However, efforts should be made to reduce the incentives for downcoding by nursing facilities.