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This guideline provides advice on the standardised assessment and management of patients with suspected ACS, including the implementation of clinical assessment pathways and subsequent functional and anatomical testing. It provides guidance on the: diagnosis and risk stratification of ACS; provision of acute reperfusion therapy and immediate post-fibrinolysis care for patients with ST segment elevation myocardial infarction; risk stratification informing the use of routine versus selective invasive management for patients with non-ST segment elevation ACS; administration of antithrombotic therapies in the acute setting and considerations affecting their long term use; and implementation of an individualised secondary prevention plan that includes both pharmacotherapies and cardiac rehabilitation. Changes in management as a result of the guideline: This guideline has been designed to facilitate the systematic integration of the recommendations into a standardised approach to ACS care, while also allowing for contextual adaptation of the recommendations in response to the individual's needs and preferences. The provision of ACS care should be subject to continuous monitoring, feedback and improvement of quality and patient outcomes.

BackgroundAppropriate understanding of health information by patients with cardiovascular disease (CVD) is fundamental for better management of risk factors and improved morbidity, which can also benefit their quality of life.ObjectivesTo assess the relationship between health literacy and health-related quality of life (HRQoL) in patients with ischaemic heart disease (IHD), and to investigate the role of sociodemographic and clinical variables as possible confounders.MethodsCross-sectional study of patients with IHD recruited from a stratified sample of general practices in two Australian states (Queensland and South Australia) between 2007 and 2009. Health literacy was measured using a validated questionnaire and classified as inadequate, marginal, or adequate. Physical and mental components of HRQoL were assessed using the Medical Outcomes Study Short Form (SF12) questionnaire. Analyses were adjusted for confounders (sociodemographic variables, clinical history of IHD, number of CVD comorbidities, and CVD risk factors) using multiple linear regression.ResultsA total sample of 587 patients with IHD (mean age 72.0±8.4 years) was evaluated: 76.8% males, 84.2% retired or pensioner, and 51.4% with up to secondary educational level. Health literacy showed a mean of 39.6±6.7 points, with 14.3% (95%CI 11.8–17.3) classified as inadequate. Scores of the physical component of HRQoL were 39.6 (95%CI 37.1–42.1), 42.1 (95%CI 40.8–43.3) and 44.8 (95%CI 43.3–46.2) for inadequate, marginal, and adequate health literacy, respectively (p-value for trend = 0.001). This association persisted after adjustment for confounders. Health literacy was not associated with the mental component of HRQoL (p-value = 0.482). Advanced age, lower educational level, disadvantaged socioeconomic position, and a larger number of CVD comorbidities adversely affected both, health literacy and HRQoL.ConclusionInadequate health literacy is a contributing factor to poor physical functioning in patients with IHD. Increasing health literacy may improve HRQoL and reduce the impact of IHD among patients with this chronic CVD.

Objective: To compare the clinical effectiveness of point‐of‐care testing (PoCT) with that of pathology laboratory testing, as measured by patients’ adherence to medication. Design: Multicentre, cluster randomised controlled trial using non‐inferiority analysis. Medication adherence was assessed twice (in April 2006 and January 2007) by a self‐administered questionnaire using the five‐item Medication Adherence Report Scale (MARS‐5). Setting: 53 Australian general practices in urban, rural and remote areas across three Australian states, September 2005 to February 2007. Participants: 4968 patients with established type 1 or type 2 diabetes, established hyperlipidaemia, or requiring anticoagulant therapy were recruited to the study. Of these, 4381 were included in the analysis (2585 in the intervention group and 1796 in the control group). Intervention: The intervention group (3010 patients in 30 practices) had blood and urine samples tested using PoCT devices within their general practices. The control group (1958 patients in 23 practices) had samples tested by their usual pathology laboratories. Main outcome measures: The proportion of questionnaire responses indicating medication adherence overall and by condition. Results: PoCT was non‐inferior to pathology laboratory testing in relation to the proportion of questionnaire responses indicating medication adherence (39.3% v 37.0%) (difference, 2.3% [90% CL, – 0.1%, 4.6%]; P < 0.001). Non‐inferiority could also be concluded separately for patients with diabetes (38.5% v 37.3%) (difference, 1.2% [90% CL, – 2.5%, 5.0%]; P = 0.01); hyperlipidaemia (38.3% v 37.3%) (difference, 1.0% [90% CL, – 1.5%, 3.5%]; P < 0.001) and for patients requiring anticoagulant therapy (44.5% v 41.4%) (difference, 3.1% [90% CL, – 2.1%, 8.3%]; P = 0.01). Conclusions: Having access to immediate test results through PoCT is associated with the same or better medication adherence compared with having test results provided by a pathology laboratory. PoCT used in general practice can provide general practitioners and patients with timely and complete clinical information, facilitating important self‐management behaviours such as medication adherence. Trial registration: Australian Clinical Trials Registry ACTRN 12605000272695.

Objective: To measure the prevalence of overweight, obesity and the metabolic syndrome (MetS) in rural Australia. Design, setting and participants: Cross‐sectional surveys were conducted in two rural areas in Victoria and South Australia in 2004–2005. A stratified random sample of men and women aged 25–74 years was selected from the electoral roll. Data were collected by a self‐administered questionnaire, physical measurements and laboratory tests. Main outcome measures: Prevalence of overweight and obesity, as defined by body mass index (BMI) and waist circumference; prevalence of MetS and its components. Results: Data on 806 participants (383 men and 423 women) were analysed. Based on BMI, the prevalence of overweight and obesity combined was 74.1% (95% CI, 69.7%–78.5%) in men and 64.1% (95% CI, 59.5%–68.7%) in women. Based on waist circumference, the prevalence of overweight and obesity was higher in women (72.4%; 95% CI, 68.1%–76.7%) than men (61.9%; 95% CI, 57.0%–66.8%). The overall prevalence of obesity was 30.0% (95% CI, 26.8%–33.2%) based on BMI (≥ 30.0 kg/m2) and 44.7% (95% CI, 41.2%–48.1%) based on waist circumference (≥ 102 cm [men] and ≥ 88 cm [women]). The prevalence of MetS as defined by the US National Cholesterol Education Program Adult Treatment Panel III 2005 criteria was 27.1% (95% CI, 22.7%–31.6%) in men and 28.3% (95% CI, 24.0%–32.6%) in women; based on International Diabetes Federation criteria, prevalences for men and women were 33.7% (95% CI, 29.0%–38.5%) and 30.1% (95% CI, 25.7%–34.5%), respectively. Prevalences of MetS, central (abdominal) obesity, hyperglycaemia, hypertension and hypertriglyceridaemia increased with age. Conclusions: In rural Australia, prevalences of MetS, overweight and obesity are very high. Urgent population‐wide action is required to tackle the problem.