2026-08-09T08:40:56Zhttps://repisalud.isciii.es/rest/oai/request

oai:repisalud.isciii.es:20.500.12105/187122024-09-21T21:19:39Zcom_20.500.12105_15322com_20.500.12105_2051col_20.500.12105_16927

00925njm 22002777a 4500 dc Morales-Puerto, Marta author Ruiz-Díaz, María author Aranda-Gallardo, Marta author Morales-Asencio, José Miguel author Alcalá-Gutiérrez, Purificación author Rodríguez-Montalvo, José Antonio author León-Campos, Álvaro author García-Mayor, Silvia author Canca-Sánchez, José Carlos author 2022-07-14 Background: There is currently a global consensus that the quality of comprehensive care for acutely hospitalised elderly people should include addressing functionality and mobility, cognitive status, prevention of pressure ulcers, urinary incontinence, falls and delirium, as well as pain control and medication-related problems. The aim of this study is to develop and validate a clinical prediction rule for multimorbid patients admitted to an acute care hospital unit for any of the five adverse events included in our vulnerability pentad: falls, pressure ulcers, urinary incontinence, pain and delirium. Methods: Longitudinal analytical clinimetric study, with two cohorts. The study population will consist of multimorbid patients hospitalised for acute care, referred from the Emergency Room. A clinical prediction rule will be proposed, incorporating predictive factors of these five adverse outcomes described. This study has received funding, awarded in November 2020 (PI-0107-2020), and was approved in October 2019 by the Research Ethics Committee ″Costa del Sol″. Conclusions: Preventing adverse events in hospitalised patients is particularly important for those with multimorbidity. By applying a clinical prediction rule to detect specific risks, an estimate can be obtained of their probability of occurrence. 10.3390/ijerph19148581 1660-4601 International journal of environmental research and public health http://hdl.handle.net/10668/21082 35886434 http://hdl.handle.net/20.500.12105/18712 adverse events clinical prediction rule clinical safety multimorbidity nursing validation study Development of a Clinical Prediction Rule for Adverse Events in Multimorbid Patients in Emergency and Hospitalisation.