Date of Award
1-1-2013
Language
English
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
College/School/Department
Department of Epidemiology and Biostatistics
Program
Biostatistics
Content Description
1 online resource (iv, 98 pages) : illustrations (some color)
Dissertation/Thesis Chair
A. Gregory DiRienzo
Committee Members
Rachel Stricof, Recai Yucel, Emily Lutterloh
Keywords
hospital-acquired infections, risk adjustment, surveillance, validation, Nosocomial infections, Cross infection
Subject Categories
Biostatistics | Epidemiology
Abstract
The objective of this dissertation is to illustrate the novel application of methods that can be used to improve the accuracy of hospital-acquired infection (HAI) rates. Public reporting of HAI rates is relatively new. New York was one of the first states to mandate reporting in acute care hospitals (2007), followed by national pay-for-reporting in 2011, and national value-based purchasing in 2013. Given the financial ramifications of public reporting, it is critical that the data are validated and adjusted for differences in underlying risk among patient populations so that hospital performance can be fairly compared. However, limited information on the quality of the HAI data and the impact of different risk adjustment strategies are available.
Recommended Citation
Haley, Valerie Benson, "Augmenting program data with secondary data sources to improve the quality of existing statistics : four examples from the New York State Department of Health Hospital-Acquired Infection Reporting Program" (2013). Legacy Theses & Dissertations (2009 - 2024). 898.
https://scholarsarchive.library.albany.edu/legacy-etd/898