Improving the accuracy of pressure ulcer risk calculators: some preliminary evidence
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TL;DR
It was found that for this population, a model containing the Waterlow risk factors appetite, continence, skin condition and age, plus diagnosis, performed better than one based on the complete set of Waterlow factors.
Abstract
This study presents data from a prospective cohort study of 213 in-patient admissions of people over 65. Logit analysis was used to investigate the relative contribution of a range of risk factors to the risk of pressure ulcer occurrence, as a basis for development of improved risk assessment tools. It was found that for this population, a model containing the Waterlow risk factors appetite, continence, skin condition and age, plus diagnosis, performed better than one based on the complete set of Waterlow factors. Gender was not significant. A diagnosis of cancer was positively associated with pressure ulcer occurrence but presence of Parkinson's disease had the opposite effect.
