Valoració infermera i factors de risc en la prevenció del deliri en la persona d'edat avançada hospitalitzada

Identificador:  TDX:2759

Handle: https://hdl.handle.net/20.500.11797/TDX2759

Autors:  Solà Miravete, Maria Elena

Resum:
Delirium is a common and serious syndrome which can present in elderly people admitted to acute inpatient units. In the explanation of delirium, the multifactorial model is the most accepted and developed. Among the risk factors described are advanced age, prior cognitive impairment, functional impairment, comorbidity, among many others. Despite the current interest, tackling the problem remains difficult, slow and delayed. Opting for a preventive approach based on programs with multiple components of interventions in risk patients has proven to be the most effective strategy. OBJECTIVES: 1) To identify the association between certain forms of dependency collected from the nursing assessment and the presence of delirium. 2) To analyze the differences between people> and <80 years and the frequency of these events collected from the sixth largest hospital patients groups in eight hospitals of the Catalan Institute of Health (ICS). METHOD: The study was developed in two stages: Phase 1: retrospective study design case (delusion) -control (no delusion). Phase 2: Descriptive cross reference from the retrospective assessment records and the nursing assessments of patients hospitalized. RESULTS: We found significant differences in age and in 89% of the events studied. Delirium has been predicted from : fecal incontinence, urinary retention, immobility in bed, sleeping difficulties and previous dementia (previous cognitive impairment). The value of the ROC curve of the proposed model is 0.853. People> 80 years have more dependence on the needs study. CONCLUSIONS: The nursing assessment model needs, has proved a useful tool for identifying risk factors for delirium. The predictive model which is known to have a high predictive power is easy to apply and is widely used among hospital nurses ICS.