Heart failure is a major healthcare problem in New Zealand. The Acute Decompensated Heart Failure (ADHF) Registry was introduced in 2015, and has identified the need for quality improvement strategies to improve care of patients hospitalised with heart failure. In this paper, we describe the implementation of the revised ANZACS-QI Heart Failure Registry, which has a primary aim to support evidence-based management of and quality improvement measures for patients who are hospitalised with heart failure in New Zealand.
View Article and Find Full Text PDFAims: Heart failure with reduced ejection fraction (HFrEF) is associated with poor outcomes. While several medications are beneficial, achieving optimal guideline-directed medical therapy (GDMT) is challenging. COVID-19 created a need to explore new ways to deliver care.
View Article and Find Full Text PDFAims: To describe the use of evidence-based heart failure therapies in patients with reduced left ventricular ejection fraction (LVEF) following acute coronary syndrome (ACS).
Methods: Patients with ACS and LVEF ≤40% were identified from the All New Zealand Acute Coronary Syndrome Quality Improvement (ANZACS-QI) registry between June 2017 and May 2018. Data was obtained from retrospective review of clinical records.
Aim: Cardiac rehabilitation (CR) programmes for patients surviving an acute coronary syndrome (ACS) event are important and recommended by clinical guidelines. Referral and attendance, however, remain suboptimal and tracking both of these aspects to inform quality improvement has been difficult. The aim of this study was to describe the use of an electronic registry to capture referral and attendance at CR in CMH and to report the characteristics of the initial cohort.
View Article and Find Full Text PDFObjectives: Cardiac patients have been shown to have inaccurate understanding of their cardiovascular risk. The purpose of the study was to investigate whether a guideline-based risk assessment and management intervention could facilitate understanding of cadiovascular risk and appropriate illness perceptions in cardiac patients.
Design: Randomized trial.
Introduction: Explaining what cardiovascular disease (CVD) risk means and engaging in shared decision-making regarding risk factor modification is challenging. An electronic CVD risk visualisation tool containing multiple risk communication strategies (Your Heart Forecast) was designed in 2009.
Aim: To assess whether this tool facilitated explaining CVD risk to primary care patients.
Eur J Cardiovasc Nurs
June 2011
Background: Patients with gout are at high risk for cardiovascular disease (CVD), and this risk is frequently under-managed.
Aims: To evaluate a nurse-led multidisciplinary approach to improve CVD risk management in patients with gout.
Methods: Patients referred to rheumatology clinics for gout management received a structured nurse-led CVD risk assessment.
Background: New Zealand data demonstrate major disparities in cardiovascular health, particularly by ethnicity and socioeconomic deprivation. ACUTE PREDICT AIM: Acute Predict, the secondary care arm of primary care based PREDICT, is a multidisciplinary project based in the coronary care unit, and is jointly led by nursing and medical staff. The project aim is to ensure patients with acute coronary syndromes (ACS) receive appropriate evidence-based secondary prevention management short- and long-term, regardless of age, socioeconomic status or ethnicity.
View Article and Find Full Text PDFBackground: Cardiovascular (CVD) risk management post myocardial infarction is inconsistently delivered with those who need the most receiving the least - the 'inverse care law.' The Acute PREDICT Initiative is a nurse led computerised decision support system (CDSS), to provide point-of-care guideline-based, patient-specific CVD risk management recommendations to all.
Methods: All patients admitted to Middlemore Hospital CCU over 2 years with acute CVD-related events potentially 'eligible' for PREDICT assessment were identified.