Current Issue : October - December Volume : 2017 Issue Number : 4 Articles : 8 Articles
The cardiac catheterization is a procedure that allows a cardiologist to get firsthand information about the patterns of blood\npressure and blood flow inside the heart. It may lead to several major and minor complications which may contribute to morbidity and\nmortality. Objectives: To assess nurses knowledge about patient safety after cardiac catheterizationfor adult patientsand to selection the\ncorrelation between demographic data with distinctive knowledge of the nurse. Methodology: A descriptive study was conducted in the\nperiod of 1st June2017 to 15thNovember 2017. The intent of (50) nurses who were factor at Ibn Al - Biter Specialist Center Cardiac\nSurgery, Results: The most of them nurses� ages were (20-25) years old that were accounted for (36%), Most of them are fromfemale\nwere (52%), The level of teaching represented that most of their (40%) were from nursing college ,(96%) of them were married,(58%)\nwere (1-5) yearsfactor in the cardiac catheterization, Majority of them (46) were factor (1-5) years were factor in nursing,(90%) of them\nhave practice session in the cardiac catheterization. Conclusions: Nurses have better information level and their no significant relevance\nnurses demographic characteristics& levels of knowledge....
Introduction: Acute myocardial infarction (heart attack) is one of the deadliest diseases patients face. The key to cardiovascular disease management is to evaluate large scores of datasets, compare and mine for information that can be used to predict, prevent, manage and treat chronic diseases such as heart attacks. Big Data analytics, known in the corporate world for its valuable use in controlling, contrasting and managing large datasets can be applied with much success to the prediction, prevention, management and treatment of cardiovascular disease. Data mining, visualization and Hadoop are technologies or tools of big data in mining the voluminous datasets for information. Aim: The aim of this literature review was to identify usage of Big Data analytics in heart attack prediction and prevention, the use of technologies applicable to big data, privacy concerns for the patient, and challenges and future trends as well as suggestions for further use of these technologies. Methods: The national and international databases were examined to identify studies conducted about big data analytics in healthcare, heart attack prediction and prevention, technologies used in big data, and privacy concerns. A total of 31 studies that fit these criteria were assessed. Results: Per the studies analyzed, Big Data analytics is useful in predicting heart attack, and the technologies used in Big Data are extremely vital to the management and tailoring of treatment for cardiovascular disease. And as the use of Big Data in healthcare increases, more useful personalized medicine will be available to individual patients. Conclusion: This review offers the latest information on Big Data analytics in healthcare, predicting heart attack, and tailoring medical treatment to the individual. The results will guide providers, healthcare organizations, nurses, and other treatment providers in using Big Data technologies to predict and manage heart attack as well as what privacy concerns face the use of Big Data analytics in healthcare. Effective and tailored medical treatment can be developed using these technologies....
Background: Adherence to treatment can effect cognitive conditions and medication and dietary compliance in HF patients. Caregiver burnout may affect a patient�s\ndisease adherence and beliefs.\nObjective: This study was descriptive design and carry out to determine the relationship of caregiver burden with compliance and belief in HF patients.\nPatients and methods: The study was performed at the University Hospital in the Province of Gaziantep, Turkey and comprised 92 heart failure patients who\nwere hospitalized in cardiology clinics and their caregivers. In this study, a questionnaire regard socio-demographic data and disease, the Beliefs about Medication\nCompliance Scale, the Beliefs about Dietary Compliance Scale, the Beliefs about Self-Monitoring Scale and The Zarit Burden Interview were used to collect data.\nResults: There were significant differences in the burden of the caregiver for different lengths of caregiving duration (r=0.265, P=0.011). It was determined that\nthe patients of caregivers with a high level of burden had higher perceived benefits of medication and dietary compliance and self-monitoring while their perceived\nbarriers to medication compliance were low.\nConclusion: It could be argued that the higher the burden of caregivers, the higher the disease compliance of patients....
Background: This study aimed to identify the conditioning factors\nthat influence the self-care practice of heart transplant patient after\ndischarge and relate the conditioning factors to the Engagement Profile\nof Self Care.\nMethods: Cross-sectional study, undertaken at a transplantation unit\nof one public hospital, in Fortaleza-Cear�¡. There was the participation\nof 63 heart transplant patients.\nResults: The majority of the patients were men (88.9%), aged 40-59\nyears (68.3%), catholic (81.0%), married (77.8%), elementary school\n(71, 4%), retired or not working (82.5%); income below minimum wage\n(47, 6%); diagnosis to transplantation was chagasic cardiomyopathy\n(28.6%), post-transplant time between one and three years (39.7%).\nThe determinant for self-care had significant difference (p<0.05) was\nthe time of transplantation, because patients who have higher scores\non Engagement Profile Self-Care had performed transplantation between\n3 and 5 years.\nConclusion: The professional team of heart transplant should consider\nthe conditioning factors of patients transplanted cardiac in establishing\nstrategies for promoting self-care....
Coronary artery disease (CAD) is characterized by narrowing or obstruction of flow in one or more of the vessels\nnourishing the heart. The study was conducted on a patient diagnosed with coronary artery disease who underwent\n3-vessel CABG in a university hospital. Study data was collected using data collection-assessment diagnostics\nand daily planning methods. The case was examined within the context of Majory Gordon�s FHP Nursing Care\nModel and nursing diagnoses approved by North America Nursing Diagnoses-NANDA. 65 year old female patient\npresented with NYHA Class 2 (New York Heart Association) Functional Classification dyspnea symptoms and\nchest pain that started nearly a month ago. The patients were diagnosed with coronary artery disease, and 3-vessel\nCABG operation was performed. Following operation, the case was monitored in cardiovascular surgery intensive\ncare unit (ICU) for 2 days, and she was transferred to the ward. The case was diagnosed with ineffective individual\nhealth management, disruption of oral mucous membrane, risk of blood sugar fluctuation, risk of electrolyte\nimbalance, constipation, activity intolerance, sleeplessness, sensory perceptual alteration; Auditory/Visual, death\nanxiety, body image disturbance, ineffective dealing, and ineffective role performance. Interventions were aimed\nat these diagnoses. With a planned and professional nursing care, the individual's biological, physiological,\npsychological and social problems after CABG operation were minimized. Her problems were dealt with the most\neffective way, and she was discharged from the cardiovascular surgery ICU....
Background: Health reforms in service improvement have included the use of nurse practitioners. In rural\nemergency departments, nurse practitioners work to the full scope of their expanded role across all patient acuities\nincluding those presenting with undifferentiated chest pain. Currently, there is a paucity of evidence regarding the\neffectiveness of emergency nurse practitioner service in rural emergency departments. Inquiry into the safety and\nquality of the service, particularly regarding the management of complex conditions is a priority to ensure that this\nservice improvement model meets health care needs of rural communities.\nMethods: This study used a prospective, longitudinal nested cohort study of rural emergency departments in\nQueensland, Australia. Sixty-one consecutive adult patients with chest pain who presented between November\n2014 and February 2016 were recruited into the study cohort. A nested cohort of 41 participants with suspected or\nconfirmed acute coronary syndrome were identified. The primary outcome was adherence to guidelines and\ndiagnostic accuracy of electrocardiograph interpretation for the nested cohort. Secondary outcomes included\nservice indicators of waiting times, diagnostic accuracy as measured by unplanned representation rates, satisfaction\nwith care, quality-of-life, and functional status. Data were examined and compared for differences for participants\nmanaged by emergency nurse practitioners and those managed in the standard model of care.\nResults: The median waiting time was 8.0 min (IQR 20) and length-of-stay was 100.0 min (IQR 64). Participants were\n2.4 times more likely to have an unplanned representation if managed by the standard service model. The majority\nof participants (91.5%) were highly satisfied with the care that they received, which was maintained at 30-day\nfollow-up measurement. In the evaluation of quality of life and functional status, summary scores for the SF-12 were\ncomparable with previous studies. No differences were demonstrated between service models. Conclusions: There was a high level of adherence to clinical guidelines for the emergency nurse practitioner\nservice model and a concomitant high level of diagnostic accuracy. Nurse practitioner service demonstrated\ncomparable effectiveness to that of the standard care model in the evaluation of the service indicators and patient\nreported outcomes. These findings provide a foundation for the beginning evaluation of rural emergency nurse\npractitioner service in the delivery of safe and effective beyond the setting of minor injury and illness presentations.\nTrial registration: Australian New Zealand Clinical Trials Registry, ACTRN12616000823471 (Retrospectively registered)....
Background: Post myocardial infarction depression is common and puts a\nnegative effect on recovery. Modified Nursing interventions effectively reduce\nthe frequency and severity of depression in such patients. Objective: The\nstudy aimed to determine the effectiveness of Modified Nursing Interventions\nClassification (NIC) in reducing the severity of depression among patients\nwith Myocardial Infarction. Methods: Sixty-eight stable patients with myocardial\ninfarction (>1 month history) having mild to moderate depression in\naccordance to Patient Health Questionnaire-9 (PHQ-9) [with a score of 5 to\n14] were enrolled. Patients were assorted into interventional and control\ngroup. Modified Nursing Intervention was offered in Interventional Group.\nThe frequency and effectiveness of Modified Nursing Intervention among the\ngroups were determined and compared. Results: Both moderate and mild\nlevel depression was decreased in Intervention Group as compare to Control\nGroup. Baseline mean depression PHQ-9 score was 2.35 point statistically\nsignificantly higher in the Control Group than Interventional Group (<0.001).\nAfter three weeks intervention the mean depression PHQ-9 score was 4.76\npoints significantly lower in Intervention Group than Control Group\n(<0.001). Conclusion: Modified Nursing intervention is effective in reducing\nthe frequency and severity of depression compared to routine care in patients\nwith Myocardial infarction....
Background: Heart failure is one of the most common diseases of aging that has negative effects\non hope and quality of life.\nObjective: To determine hope of life and related factors in patients with heart failure\nMethods: This cross-sectional study was conducted on 78 patients referred to hospitals affiliated to\nAhvaz Jundishapur University of Medical Science during March- May 2016.\nIn this study, data were collect by two questionnaires: 1) hope of life Schneider and 2)\nquestionnaire of demographic characteristics, disease status and associated factors were used.\nData were analyzed using descriptive and analytical statistics.\nResults: The results showed that the hope of life 50.7% of patients (less than 30) was low. The\nThere was a significant relationship between severity of illness, duration of illness, visits to the\ndoctor and hospitalization in a month over the past year and diseases associated with hope of life (p = 0/000). The results also had showed that between now and the past month of readmission and\nfatigue signs and symptoms, number of drugs with hope of life (p = 0/000).\nConclusion: The management and staff of health can to use the result of study for appropriate\nplanning to promotion quality of life of patient....
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