We construct statistical models to assess whether hospital size will impact the ability to identify "true" hospital ranks in pay-for-performance (P4P) programs. We use Bayesian hierarchical models to estimate the uncertainty associated with the ranking of hospitals by their raw composite score values for three medical conditions: acute myocardial infarction (AMI), heart failure (HF), and commun...

Background and Objectives: Hospitals usually generate large amounts of hazardous waste. If not managed properly, hospital waste can pose threats to public safety and damage the environment. Waste minimization is a waste management approach that focuses on reducing the amount and toxicity of hazardous wastes. This study pursues a two-fold purpose: 1) to gain insight into hospital waste minimizat...

BACKGROUND Public hospitals have come under heavy scrutiny across the world owing to rising expenditures. However, much of the focus has been on cutting down costs to raise efficiency levels. Although not denying the importance of efficiency measures, this article targets a performance issue that is relevant to address the quality of services rendered in public hospitals. Thus, it is important ...