title: The development of an automated ward independent delirium risk prediction model.
abstract: Background A delirium is common in hospital settings resulting in increased mortality and costs. Prevention of a delirium is clearly preferred over treatment. A delirium risk prediction model can be helpful to identify patients at risk of a delirium, allowing the start of preventive treatment. Current risk prediction models rely on manual calculation of the individual patient risk. Objective The aim of this study was to develop an automated ward independent delirium riskprediction model. To show that such a model can be constructed exclusively from electronically available risk factors and thereby implemented into a clinical decision support system (CDSS) to optimally support the physician to initiate preventive treatment. Setting A Dutch teaching hospital. Methods A retrospective cohort study in which patients, 60 years or older, were selected when admitted to the hospital, with no delirium diagnosis when presenting, or during the first day of admission. We used logistic regression analysis to develop a delirium predictive model out of the electronically available predictive variables. Main outcome measure A delirium risk prediction model. Results A delirium risk prediction model was developed using predictive variables that were significant in the univariable regression analyses. The area under the receiver operating characteristics curve of the "medication model" model was 0.76 after internal validation. Conclusions CDSSs can be used to automatically predict the risk of a delirium in individual hospitalised patients' by exclusively using electronically available predictive variables. To increase the use and improve the quality of predictive models, clinical risk factors should be documented ready for automated use.
authors.affiliation: Department of Clinical Pharmacy, Zuyderland Medical Centre, Henri Dunantstraat 5, 6419 PC, Heerlen, The Netherlands. h.dewit@zuyderland.nl.
authors.forename: Hugo A J M
authors.initials: HA
authors.lastname: de Wit
authors.affiliation: Department of Methodology and Statistics, CAPHRI-School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands.
authors.forename: Bjorn
authors.initials: B
authors.lastname: Winkens
authors.affiliation: Department of Clinical Pharmacy, Zuyderland Medical Centre, H. van der Hoffplein 1, Sittard-Geleen, The Netherlands.
authors.forename: Carlota
authors.initials: C
authors.lastname: Mestres Gonzalvo
authors.affiliation: Section of Geriatric Medicine, Department of Internal Medicine, Zuyderland Medical Centre, Heerlen, The Netherlands.
authors.forename: Kim P G M
authors.initials: KP
authors.lastname: Hurkens
authors.affiliation: Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands.
authors.forename: Wubbo J
authors.initials: WJ
authors.lastname: Mulder
authors.affiliation: Department of Clinical Pharmacy, Zuyderland Medical Centre, H. van der Hoffplein 1, Sittard-Geleen, The Netherlands.
authors.forename: Rob
authors.initials: R
authors.lastname: Janknegt
authors.affiliation: Department of Psychiatry and Neuropsychology, Alzheimer Centrum Limburg/School for Mental Health and Neurosciences, Maastricht University, Maastricht, The Netherlands.
authors.forename: Frans R
authors.initials: FR
authors.lastname: Verhey
authors.affiliation: Department of Clinical Pharmacy, Zuyderland Medical Centre, H. van der Hoffplein 1, Sittard-Geleen, The Netherlands.
authors.forename: Paul-Hugo M
authors.initials: PH
authors.lastname: van der Kuy
authors.affiliation: Department of General Practice and Department of Health Services Research, CAPHRI-School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands.
authors.forename: Jos M G A
authors.initials: JM
authors.lastname: Schols
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D016022:Case-Control Studies; D020000:Decision Support Systems, Clinical / Q000706:statistics & numerical data*; D003693:Delirium / Q000517:prevention & control*; D005260:Female; D006761:Hospitals; D006801:Humans; D016015:Logistic Models; D008297:Male; D012189:Retrospective Studies; D012307:Risk Factors
keywords: Automation; Decision support systems; Decision support techniques; Delirium; Hospital; Predicting