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Development of a Multivariable Prediction Model for Risk of Hospitalization With Pressure Injury After Entering Residential Aged Care
Institution:1. Department of Psychiatry, College of Osteopathic Medicine (A.S.), Michigan State University, East Lansing, Michigan;2. College of Nursing (C.W.G., B.G.), Michigan State University, East Lansing, Michigan;3. Department of Otolaryngology Head and Neck Surgery (S.C.), Henry Ford Health (HFH) - Cancer Quality, HFH-Cancer Patient Reported Outcomes Committee, HFH-Cancer Head and Neck Cancer Program, Head and Neck Cancer Surgery, HFCI Cancer Epidemiology Prevention and Control Research Program, Detroit, Michigan;4. Department of Otolaryngology Head and Neck Surgery, Henry Ford Health System (S.T.), Henry Ford Health - Cancer, Detroit, Michigan;5. Radiation Oncology, Henry Ford Health – Cancer (B.M.), Detroit, Michigan, USA;1. Gastroenterology Department, Flinders Medical Centre, Bedford Park, South Australia, Australia;2. Cancer Research, Flinders Health and Medical Research Institute, Flinders University, Bedford Park, South Australia, Australia
Abstract:ObjectivesAlthough largely preventable, pressure injury is a major concern in individuals in permanent residential aged care (PRAC). Our study aimed to identify predictors and develop a prognostic model for risk of hospitalization with pressure injury (PI) using integrated Australian aged and health care data.DesignNational retrospective cohort study.Setting and ParticipantsIndividuals ≥65 years old (N = 206,540) who entered 1797 PRAC facilities between January 1, 2009, and December 31, 2016.MethodsPI, ascertained from hospitalization records, within 365 days of PRAC entry was the outcome of interest. Individual, medication, facility, system, and health care–related factors were examined as predictors. Prognostic models were developed using elastic nets penalized regression and Fine and Gray models. Area under the receiver operating characteristics curve (AUC) assessed model discrimination out-of-sample.ResultsWithin 365 days of PRAC entry, 4.3% (n = 8802) of individuals had a hospitalization with PI. The strongest predictors for PI risk include history of PIs sub-distribution hazard ratio (sHR) 2.41; 95% CI 1.77–3.29]; numbers of prior hospitalizations (having ≥5 hospitalizations, sHR 1.95; 95% CI 1.74–2.19); history of traumatic amputation of toe, ankle, foot and leg (sHR 1.72; 95% CI 1.44–2.05); and history of skin disease (sHR 1.54; 95% CI 1.45–1.65). Lower care needs at PRAC entry with respect to mobility, complex health care, and medication assistance were associated with lower risk of PI. The risk prediction model had an AUC of 0.74 (95% CI 0.72–0.75).Conclusions and ImplicationsOur prognostic model for risk of hospitalization with PI performed moderately well and can be used by health and aged care providers to implement risk-based prevention plans at PRAC entry.
Keywords:Aged care  pressure injury  risk prediction  long-term care  nursing homes
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