Evaluation of sleep apnea Subdiagnosis and its potential causes in patients with c...
| Grant number: | 19/03706-8 |
| Support type: | Scholarships in Brazil - Scientific Initiation |
| Effective date (Start): | September 01, 2019 |
| Effective date (End): | August 31, 2020 |
| Field of knowledge: | Health Sciences - Nursing - Medical-Surgical Nursing |
| Principal Investigator: | Vinicius Batista Santos |
| Grantee: | Bruno Rodrigues Hermano |
| Home Institution: | Escola Paulista de Enfermagem (EPE). Universidade Federal de São Paulo (UNIFESP). Campus São Paulo. São Paulo , SP, Brazil |
Abstract In Brazil, there are no studies evaluating the relationship of drug adherence to the level of social support in patients with established coronary artery disease. This knowledge can help in the understanding of drug adherence phenomena in these patients, helping in the construction of interventions aimed at reducing the recurrence of acute coronary events and drug adherence failures. Objective: To evaluate the association between the level of social support and medication adherence in patients with Acute Coronary Syndrome. Materials and methods: A prospective, analytical and cross-sectional study will be performed with patients hospitalized at the Cardiology Unit for the manifestation of coronary artery disease. The dependent variable of the study will be drug adherence. The independent variable will be the level of perceived social support. The covariates will be classified in sociodemographic and clinical. Social support will be measured through the perception of social support from the Social Results Study (MOS-SSS) of each dimension: emotional/informational support; material support; affective support; social support and adherence to medication by the Brief Medication Questionnaire. Sociodemographic and clinical variables will be analyzed in descriptive tests, through measures of central tendency and dispersion. The relationships between the scores of each MOS-SSS dimension and adherence to the drug will be verified through simple and multiple linear regression with control for sociodemographic and clinical covariates. | |