"Patients deserve to have the most accurate information available so they can make well-informed health care decisions. Our analysis demonstrates that further modeling with additional hospital attributes has the clear potential to shed more light on the rankings of such hospitals," the authors conclude.
Evaluating and assessing hospital performance, while challenging, is nothing new to the statistical community. In 2011, the Committee of Presidents of Statistical Societies (COPSS) published "Statistical Issues in Assessing Hospital Performance," which examined statistical issues identified by the Centers for Medicare and Medicaid Services (CMS) and other stakeholders about the government agency's approach to modeling hospital quality based on outcomes. Then chair of COPSS, Thomas Louis, a professor in the department of biostatistics at Johns Hopkins University's Bloomberg School of Public Health, knows this issue well.
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"Adopting the modeling enhancements proposed by the authors in this new Hospital Compare research will improve predicting outcomes and choosing a hospital," said Louis. "I urge the CMS and all researchers working on profiling methods to seriously consider issues the authors have identified and their state-of-the-art approaches to many of them."
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