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Full-Text Articles in Patient Safety
A Pressure Ulcer And Fall Rate Quality Composite Index For Acute Care Units: A Measure Development Study., Diane K. Boyle, Ananda Jayawardhana, Mary E. Burman, Nancy E. Dunton, Vincent S. Staggs, Sandra Bergquist-Beringer, Byron J. Gajewski
A Pressure Ulcer And Fall Rate Quality Composite Index For Acute Care Units: A Measure Development Study., Diane K. Boyle, Ananda Jayawardhana, Mary E. Burman, Nancy E. Dunton, Vincent S. Staggs, Sandra Bergquist-Beringer, Byron J. Gajewski
Manuscripts, Articles, Book Chapters and Other Papers
Background: Composite indices are single measures that combine the strengths of two or more individual measures and provide broader, easy-to-use measures for evaluation of provider performance and comparisons across units and hospitals to support quality improvement.
Objective: The study objective was to develop a unit-level inpatient composite nursing care quality performance index-the Pressure Ulcer and Fall Rate Quality Composite Index.
Design: Two-phase measure development study.
Settings: 5144 patient care units in 857 United States hospitals participating in the National Database of Nursing Quality Indictors® during the year 2013.
Methods: The Pressure Ulcer and Fall Rate Quality Composite Index was developed …
Reliability Of Pressure Ulcer Rates: How Precisely Can We Differentiate Among Hospital Units, And Does The Standard Signal-Noise Reliability Measure Reflect This Precision?, Vincent S. Staggs, Emily Cramer
Reliability Of Pressure Ulcer Rates: How Precisely Can We Differentiate Among Hospital Units, And Does The Standard Signal-Noise Reliability Measure Reflect This Precision?, Vincent S. Staggs, Emily Cramer
Manuscripts, Articles, Book Chapters and Other Papers
Hospital performance reports often include rankings of unit pressure ulcer rates. Differentiating among units on the basis of quality requires reliable measurement. Our objectives were to describe and apply methods for assessing reliability of hospital-acquired pressure ulcer rates and evaluate a standard signal-noise reliability measure as an indicator of precision of differentiation among units. Quarterly pressure ulcer data from 8,199 critical care, step-down, medical, surgical, and medical-surgical nursing units from 1,299 US hospitals were analyzed. Using beta-binomial models, we estimated between-unit variability (signal) and within-unit variability (noise) in annual unit pressure ulcer rates. Signal-noise reliability was computed as the ratio …