Promotion of Sleep for Patients Submitted to Percutaneous Intervention to Treat Heart Diseases

Patients undergoing treatment for heart disease through percutaneous interventions admitted to intensive care units often suffer from sleep deprivation, with multifactorial factors being the precursors of this problem. Sleep deprivation has a negative impact on rehabilitation, with increased morbidity and mortality. Therefore, implementing non-pharmacological measures for this population is essential for better quality care, as well as more satisfactory experiences. The Objectives are to evaluate whether the non-pharmacological intervention that includes the use of eye masks and hearing protectors has an influence on the quality of sleep of patients undergoing percutaneous interventions for the treatment of heart diseases admitted to the intensive care unit, to compare the quality of sleep between patients according to sociodemographic and clinical variables and to identify whether anxiety is a factor associated with sleep quality in patients undergoing percutaneous interventions for the treatment of heart disease in patients admitted to the intensive care unit. Randomized clinical trial blinded to the steps of data collection and data analysis, with two groups of participants in which the intervention with eye masks and ear protectors will be evaluated. The inclusion criteria in the study will be patients undergoing percutaneous intervention treatment for heart disease over the age of 18, preserved communication skills and understanding. The study site will be a cardiac intensive care unit in a private hospital of high complexity in the city of São Paulo. The intervention will be carried out during the period of hospitalization in the intensive care unit, by nurses trained by the researcher from 9 pm until the patient awakens, and variables related to sleep quality, anxiety, pain, delirium and length of stay will be collected. in bed. The sample will consist of 80 patients divided into two groups (intervention and control) and the data will be analyzed with descrip