This study modeled the predictive power of unit/patient characteristics, nurse workload, nurse expertise, and hospital‐acquired pressure ulcer () preventive clinical processes of care on unit‐level prevalence of s.
Seven hundred and eighty‐nine medical‐surgical units (215 hospitals) in 2009.
Using unit‐level data, s were modeled with Poisson regression with zero‐inflation (due to low prevalence of s) with significant covariates as predictors.
Hospitals submitted data on endorsed ongoing performance measures to registry.
Fewer s were predicted by a combination of unit/patient characteristics (shorter length of stay, fewer patients at‐risk, fewer male patients), workload (more hours of care, greater patient [bed] turnover), expertise (more years of experience, fewer contract staff hours), and processes of care (more risk assessment completed).
Unit/patient characteristics were potent predictors yet generally are not modifiable. workload, nurse expertise, and processes of care (risk assessment/interventions) are significant predictors that can be addressed to reduce . Support strategies may be needed for units where experienced full‐time nurses are not available for prevention. Further research is warranted to test these finding in the context of higher prevalence.
Data Collection/Extraction Methods