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Full-Text Articles in Medicine and Health Sciences
Risk Factors For Sleep-Related Infant Deaths In In-Home And Out-Of-Home Settings., Hilina Kassa, Rachel Y. Moon, Jeffrey D. Colvin
Risk Factors For Sleep-Related Infant Deaths In In-Home And Out-Of-Home Settings., Hilina Kassa, Rachel Y. Moon, Jeffrey D. Colvin
Manuscripts, Articles, Book Chapters and Other Papers
Background and objective: Multiple environmental risk factors are associated with sleep-related infant deaths. Little is known about differences in risk factors for deaths occurring in-home and out-of-home. We sought to compare risk factors for in-home and out-of-home infant deaths.
Methods: We conducted a cross-sectional analysis of sleep-related infant deaths from 2004 to 2014 in the National Child Fatality Review and Prevention database. The main exposure was setting (in-home versus out-of-home) at time of death. Primary outcomes were known risk factors: sleep position, sleep location (eg, crib), objects in the environment, and bed sharing. Risk factors for in-home versus out-of-home deaths …
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 …