Medicine and Health Sciences Commons^™

Identification Of Medicare Recipients At Highest Risk For Clostridium Difficile Infection In The Us By Population Attributable Risk Analysis, Erik R. Dubberke, Margaret A. Olsen, Dustin Stwalley, Ciarán P. Kelly, Dale N. Gerding, Yinong Young-Xu, Cedric Mahé

Dartmouth Scholarship

Background: Population attributable risk percent (PAR%) is an epidemiological tool that provides an estimate of the percent reduction in total disease burden if that disease could be entirely eliminated among a subpopulation. As such, PAR% is used to efficiently target prevention interventions. Due to significant limitations in current Clostridium difficile Infection (CDI) prevention practices and the development of new approaches to prevent CDI, such as vaccina- tion, we determined the PAR% for CDI in various subpopulations in the Medicare 5% random sample. Methods: This was a retrospective cohort study using the 2009 Medicare 5% random sample. Comorbidities, infections, and healthcare …

Assessing Differences Between Early And Later Adopters Of Accountable Care Organizations Using Taxonomic Analysis, Frances M. Wu, Stephen M. Shortell, Valerie A. Lewis, Carrie H. Colla, Elliott S. Fisher

Dartmouth Scholarship

Objective. To compare early and later adopters of the accountable care organization (ACO) model, using the taxonomy of larger, integrated system; smaller, physician-led; and hybrid ACOs. Data sources. The National Survey of ACOs, Waves 1 and 2.

Studydesign. Clusteranalysisusingthetwo-stepclusteringapproach,validatedusing discriminant analysis. Wave 2 data analyzed separately to assess differences from Wave 1 and then data pooled across waves. Findings. Compared to early ACOs, later adopter ACOs included a greater breadth of provider group types and a greater proportion self-reported as integrated delivery systems. When data from the two time periods were combined, a three-cluster solution similar to the original cluster …