Phoenix, Ariz. (PRWEB) February 06, 2014
The 2013 NDNQI® Award for Outstanding Nursing Quality® to hospitals that made impressive improvements to achieve overall excellence in nursing-sensitive quality measures last year.
The award is presented annually to the best-performing hospital in each of six categories. The 2013 winners were announced Wednesday in a ceremony before attendees of the American Nurses Association (ANA) 2014 ANA Quality Conference at the Phoenix Convention Center:
Each hospital has been using NDNQI data to address a variety of nursing-quality issues, such as falls, pressure ulcers and nurse satisfaction. They’ve assembled committees, written up action plans and returned again and again to the data that help guide their decisions.
“Don’t give up on the data,” says Shriners Hospital Director of Patient Care Services/CNO Terry Wheat, MPH, RN. They can serve as a powerful tool for an organization to spark change in the level of care it provides for its patients and improve patient outcomes.
Craig Hospital won in its category for the second year in a row, and for the third time overall. And for the first time, the award has gone international with recognition going to a hospital outside the U.S. The King Faisal Specialist Hospital & Research Centre is now helping other facilities in the Middle East to learn how to use NDNQI data to improve their processes.
The NDNQI® is the only national nursing quality measurement program that enables hospitals to compare measures of their nursing quality against national, regional and state norms for hospitals of the same type down to the unit level. Used by 2,000 hospitals nationwide, it is the largest provider of unit-level performance data to hospitals. NDNQI is a program of the American Nurses Association (ANA) and is administered on behalf of ANA by The University of Kansas School of Nursing. Visit the NDNQI website to learn more about the award, the database and how it’s helping hospitals across the U.S. and around the world to track and improve on nursing-sensitive quality measures.