Health outcomes can vary between high- and low-quality institutions, and research has been conducted to identify variables that determine hospital quality. However, new analysis by Robert D. Lieberthal and Dominique M. Comer builds on the prior investigation of hospital quality by evaluating a method originally developed for the detection of healthcare fraud, Pridit.
Pridit allows the ranking of hospitals, with respect to quality of care, using process measures and demographic attributes of the hospitals. Researchers developed a theoretical model to justify the application of Pridit to the hospital quality setting and then applied the method to a national, multiyear data set on U.S. hospital quality variables and outcomes. The results demonstrate how Pridit can be used to predict future health outcomes based on currently available quality measures. The empirical results obtained in this study may be of use to health insurers and policymakers who aim to improve quality in the hospital setting. The research content is available through the Wiley online library.
An INQRI study, Nursing Workforce Impact on Performance Improvement in the CMS/Premier Hospital Quality Incentive Demonstration Project (HQID), examined the impact of nurse staffing and nurses' work environment on hospital performance improvement in the HQID project. HQID is the first CMS demonstration on the impact of hospital pay-for-performance. Ira Moscovice and Mary Wakefield led the research team.