Psychometric Characteristics of the Caregiver Contribution to Self-care of Heart Failure Index in a South American Population.

Background: Caregivers can contribute enormously to the self-care of patients with heart failure (HF). The Caregiver Contribution to Self-care of Heart Failure Index (CC-SCHFI) measures these contributions across 3 scales: self-care maintenance, which evaluates caregiver contributions to symptom monitoring and treatment adherence; self-care management, which evaluates caregiver contributions in dealing with symptoms; and caregiver confidence, which assesses caregiver self-efficacy in managing all contributions to self-care. Although the CC-SCHFI has been used in several investigations, only 1 study has evaluated its psychometric characteristics.

Validity and reliability of the self-care of hypertension inventory (SC-HI) in a Brazilian population.

Background: Poor self-care in patients with hypertension is associated with worse patient outcomes. The Self-Care of Hypertension Inventory (SC-HI) measures self-care in patients with hypertension and includes three scales: self-care maintenance, which measures adherence to prescribed treatments and behaviors; self-care management, which evaluates the responses to signs and symptoms of high blood pressure; and self-care confidence, which measures self-efficacy in dealing with the entire process.

Objective: To test the psychometric characteristics of the Brazilian version of the SC-HI.

Cross Mapping Between the Priority Nursing Care for Stroke Patients Treated With Thrombolytic Therapy and the Nursing Interventions Classification (NIC).

Objective: To verify the correspondence between the priority nursing care for stroke patients treated with thrombolytic therapy and the Nursing Interventions Classification (NIC).

Methods: A cross-mapping study with a semi-structured interview was conducted with 11 expert nurses who described priority nursing care in clinical practice, and mapped it to the NIC.

Results: Eleven nursing care priorities cited by the nurses were mapped to eight NICs, including Thrombolytic Therapy Management (4270).

Cross-cultural adaptation and psychometric testing of the brazilian version of the self-care of heart failure index version 6.2.

Objective. To adapt and evaluate the psychometric properties of the Brazilian version of the SCHFI v 6.2.

Cross-cultural adaptation and validation of the European Heart Failure Self-Care Behavior Scale for Brazilian Portuguese.

Objective: To adapt and validate a Brazilian Portuguese version of the European Heart Failure Self-Care Behavior Scale.

Methods: The cross-cultural adaptation (translation, synthesis, back-translation, expert committee review, and pretesting) and validation (assessment of face validity, content validity, and internal consistency reliability) were carried out in accordance with the literature. The European Heart Failure Self-Care Behavior Scale assesses key components of self-care: recognition of the signs and symptoms of decompensated heart failure (HF) and decision-making when these signs and symptoms arise.

Pharmacological adherence to oral anticoagulant and factors that influence the international normalized ratio stability.

Cross-sectional study developed to relate the international normalized ratio (INR), used as a parameter to monitor the levels of blood clotting, stability to adherence, age, level of education, socioeconomic level, interaction with other drugs, comorbidities, vitamin K intake, anticoagulation time and drug cost. 156 patients were included, mean age 57 ± 13 years, (53.8%) male, 61 (39.

[Risk factors for coronary artery disease in patients admitted in hemodynamics unit].

Transversal study aiming to evaluate the predominance of risk factor (RF) regarding to coronary artery disease (CAD) in patients submitted to cardiac procedures in hemodynamic unit. The study encloses 302 patients of 62 +/- 11-years-old, 270 (89%) predominantly white and 172 (57%) male. The most prevalent RF was 227 (75%) sedentism, followed by 220 (73%) arterial hypertension, 150 (50,5%) dyslipidemia, 87 (29%) obesity, 81 (27%) diabetes mellitus, 77 (25,5%) smoking, 67 (22%) alcohol and 15 (5%) diet poor of fruits and vegetables.