ABSTRACT
PURPOSE: To develop and validate a method of predicting whether patients will develop a heel pressure ulcer during their hospital stay. DESIGN: This retrospective case-control study used 2 separate data sets, one for an initial analysis followed by a second data set for validation analysis. SUBJECTS AND SETTING: From 2009 to 2011, medical records of discharged patients with a DRG code for heel pressure ulcers in our urban, tertiary medical center were retrospectively reviewed. Using age as the matching criterion, we then reviewed cases of patients without heel pressure ulcers. The initial analysis comprised 37 patients with hospital-acquired heel pressure ulcers and 300 without. The validation analysis included 12 patients with heel pressure ulcers and 68 without. METHOD: In order to develop this method of identifying patients with heel pressure ulcers, logistic regression modeling was used to select a set of patient characteristics and hospital conditions that, independently and in combination, predicted heel pressure ulcers. Logistic modeling produced adjusted and unadjusted odds ratios for each of the significant predictor variables. The validation analysis was employed to test the predictive accuracy of the final model. RESULTS: Initial analysis revealed 4 significant and independent predictors for heel pressure ulcer formation during hospitalization: diabetes mellitus, vascular disease, immobility, and an admission Braden Scale score of 18 or less. These findings were also supported in the validation analysis. CONCLUSION: Beyond a risk assessment scale, staff should consider other factors that can predispose a patient to heel pressure ulcer development during their hospital stay, such as comorbid conditions (diabetes mellitus and vascular disease) and immobility.
Subject(s)
Heel , Hospitalization , Pressure Ulcer/etiology , Aged , Aged, 80 and over , Female , Humans , Logistic Models , Male , Middle Aged , Retrospective Studies , Risk Factors , Sensitivity and SpecificityABSTRACT
The Centers for Medicare & Medicaid Services' regulations regarding nonpayment for hospital-acquired conditions such as pressure ulcers have prompted a marked increase in focus on preventive care. Our hospital also used this change in payment policy as an opportunity to strengthen our pressure ulcer prevention practices. We used an 8-spoke prevention wheel to develop and implement practice changes that reduced pressure ulcer incidence from 7.3% to 1.3% in 3 years. Because it is about the journey, we will describe the mechanisms we designed and implemented, and identify strategies that worked or did not work as we promulgated a quality improvement process for pressure ulcer prevention in our large urban hospital center.
