The changing face of cardiovascular care in Australia
Authors: Derek P B Chew and Ian A Scott
Published online: 17 June 2013
Realising the promised gains of cardiovascular innovation will demand an increase in clinical cardiac decision-making capacity
Modern cardiovascular care has been blessed with therapeutic innovations that have reduced morbidity and mortality. From invasive management for acute coronary syndrome (ACS) to nurse-led heart failure management programs and anticoagulation for stroke prophylaxis in atrial fibrillation (AF), therapeutic advances have led not only to improved cardiovascular outcomes, but also the need for greater sophistication in balancing benefits with harms and costs (Box). With such complexity, decisions about management increasingly require access to risk stratification and evidence-based clinical decision support.
In this issue of the Journal, we commence a series of articles aimed at reviewing current and future challenges in cardiac care, including new diagnostic and management approaches to chest pain, primary prevention strategies based on absolute cardiovascular disease risk, and acute and chronic care of coronary heart disease (CHD), AF and heart failure.
Ongoing monitoring of cardiovascular outcomes by the Australian Institute of Health and Welfare (AIHW) has demonstrated reductions in cardiovascular mortality and morbidity. From 1968 to 2007, age-standardised death rates from cardiovascular disease fell by over 75%, from 1020 to 232 per 100 000 men and from 718 to 170 per 100 000 women.1 These gains exceed those observed in all other major diseases.2 Drawing on international data, the reduced rates have been attributed in about equal parts to effective primary prevention targeting hypertension, hypercholesterolaemia and smoking, and to more effective treatments for acute cardiac conditions, as well as improved secondary prevention and chronic disease management.3,4
However, a disproportionate burden of cardiovascular disease remains among people in rural and remote areas, those with linguistically and culturally diverse backgrounds, Indigenous peoples and older patients with multiple comorbidities. Geographic remoteness, communication difficulties, socioeconomic disadvantage, cultural disparities and limited evidence of intervention effectiveness are some of the factors that account for this uneven distribution.1,5
A rising prevalence of obesity and the associated increase in diabetes potentially herald a reversal in the declining rates of cardiovascular mortality. Between 1995 and 2007–08, the proportion of Australians aged 35–44 years classified as being overweight or obese increased by over 7 percentage points.1 Recent AIHW data suggest a plateau in previously observed declines in ACS events, although declines in CHD deaths are still evident. Registry data also show that about 50% of ACS events occur among patients with established CHD.6 These data reinforce the need for more widespread implementation of primary prevention targeting people at high absolute risk of CHD,7 combined with better secondary prevention in patients with established CHD.
Diagnostic and therapeutic innovations in cardiovascular care come with increased costs attributable to the technology itself, plus those associated with training, recruitment and subsequent interventions. The value of these innovations lies in their promise to reduce deaths and morbidity, but their widespread uptake often occurs in the absence of robust evidence of benefit across the full spectrum of outcomes for patients and health services.8 Even when such evidence is available, their real-world value depends on effective implementation in cardiovascular health services. Generalisation of the benefits and risks observed in clinical trials of emerging pharmacotherapies and devices requires appropriate health service infrastructure to support effective adoption. New technologies will likely bring the need for accurate clinical risk assessment and customised management into sharper focus. For example, in investigating chest pain, routine use of high-sensitivity troponin assays or computed tomography coronary angiography in the emergency department is likely to lead to unacceptably high false-positive rates, and unnecessary investigations and treatment with little impact on patient outcomes.9 In light of the potential for harm from novel diagnostics and pharmacotherapies, evidence-informed patient selection is key to their clinical and cost-effectiveness. This is paramount, given the increasing numbers of patients with chronic disease, advancing age and multiple concomitant treatments.
The challenge of determining value for individual patients, by balancing potential benefit and potential harm, is common to most of the interventions in the Box. Transcatheter aortic valve implantation (TAVI)10 for severe aortic stenosis (AS) is a good example. As patients with this condition are often very old, and half die within 12 months of symptom onset, the challenge is to distinguish between patients who are dying from severe AS and those dying with it. Similarly, when choosing between TAVI and open aortic valve replacement (AVR), the risks of increased stroke and limited long-term clinical data for TAVI must be weighed against the risks of acute postsurgical complications from AVR in this older high-risk group.
Effective transition of clinical decision making and care from the acute hospital setting to general practice and patient self-management are key to preventing avoidable cardiac events and readmissions. Transition-of-care initiatives include nurse-led heart failure management programs in the community that have reduced rates of rehospitalisation and mortality.11,12 Similar programs have potential in the management of AF and secondary prevention of CHD.13
Another paradigm shift is the development of integrated, statewide cardiac care networks, which seek to provide clinicians outside urban centres with rapid expert assessment of patients with acute cardiac conditions and prioritised transfer to tertiary centres. Federal health reforms associated with new funding arrangements and enhanced performance accountabilities will also act as a catalyst for further clinical service redesign to increase care access and integration. At a health service level, local hospital networks and Medicare Locals will facilitate collaborative implementation of multidisciplinary services that shift more of the care of patients with chronic cardiac conditions from the hospital to the community. This will demand a commensurate increase in clinical decision-making capacity in primary care.
All these changes will require better knowledge about the effectiveness, safety and accessibility of cardiovascular care in real-world settings14 by way of clinical and procedural registries, which allow benchmarking of clinical care and patient outcomes, rapid identification of evidence–practice gaps, and timely evaluation of benefits and harms of new technologies.15,16 The costs of maintaining nationally representative registries may be increasingly offset by automated data input from electronic health records and administrative datasets that quickly profile what, where and when cardiovascular care is provided. If implemented well, the timely collection of clinical data, and its standardisation using universal clinical definitions, will facilitate more accurate interjurisdictional comparisons.17 Public reporting of analyses of such data, conducted under the auspices of the AIHW and the Australian Commission on Safety and Quality in Health Care, should bring greater transparency, objectivity and accountability to cardiovascular care delivery. This enhanced data collection infrastructure should also facilitate applied clinical research that evaluates the comparative effectiveness of emerging and competing health care technologies and treatments, and constructs and validates new risk-prediction rules and management algorithms.
Continued investment by clinicians and health services in pursuing a “translatable” evidence base to inform decision making will be needed to ensure improved access to, and effective implementation of, cardiovascular innovations.
Uncertainties in implementation of emerging cardiac technologies
Innovation |
Clinical dilemma |
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High-sensitivity troponin |
What is its utility in ruling out acute coronary syndrome in patients presenting with chest pain? What are the clinical significance and therapeutic implications of troponin elevation in heart failure, arrhythmias and non-cardiac diagnoses? |
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B-type natriuretic peptide |
How can it be used in titration of therapies and disease monitoring in heart failure? |
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Computed tomography coronary angiography (CTCA) and CTCA-based functional assessment |
What is CTCA’s role in the early diagnostic work-up of undifferentiated chest pain? Is CTCA cost-effective in the assessment of stable coronary artery disease? |
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Stress magnetic resonance imaging and three-dimensional echocardiography |
Do these novel imaging modalities provide incremental diagnostic value beyond existing imaging modalities? |
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Electronic decision support |
Does the integration of objective risk stratification with therapeutic recommendations lead to better care and clinical outcomes? |
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Examples of novel therapies:
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Which patient characteristics identify those who will derive the greatest benefit from the specific therapy? Which patient characteristics identify those most at risk of complications? How can we objectively assess the balance between risk and benefit? What are the downstream impacts of implementing the innovation? What patient-specific outcomes are most relevant for assessing benefit and cost-effectiveness? How do we develop a sustainable workforce for the provision of the specific therapeutic innovation? |
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Competing interests
References
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- Begg SJ, Vos T, Barker B, et al. Burden of disease and injury in Australia in the new millennium: measuring health loss from diseases, injuries and risk factors. Med J Aust 2008; 188: 36-40. i1140601
- Ford ES, Ajani UA, Croft JB, et al. Explaining the decrease in US deaths from coronary disease, 1980-2000. N Engl J Med 2007; 356: 2388-2398. i1140603
- Smolina K, Wright FL, Rayner M, Goldacre MJ. Determinants of the decline in mortality from acute myocardial infarction in England between 2002 and 2010: linked national database study. BMJ 2012; 344: d8059. i1140605
- Scott IA, Derhy PH, O’Kane D, et al; CPIC Cardiac Collaborative. Discordance between level of risk and intensity of evidence-based treatment in patients with acute coronary syndromes. Med J Aust 2007; 187: 153-159. i1140607
- Chew DP, Amerena JV, Coverdale SG, et al; ACACIA investigators. Invasive management and late clinical outcomes in contemporary Australian management of acute coronary syndromes: observations from the ACACIA registry. Med J Aust 2008; 188: 691-697. i1140609
- Chew DP, Huynh LT, Liew D, et al. Potential survival gains in the treatment of myocardial infarction. Heart 2009; 95: 1844-1850. i1140611
- Van Brabandt H, Neyt M, Hulstaert F. Transcatheter aortic valve implantation (TAVI): risky and costly. BMJ 2012; 345: e4710. i1140613
- Litt HI, Gatsonis C, Snyder B, et al. CT angiography for safe discharge of patients with possible acute coronary syndromes. N Engl J Med 2012; 366: 1393-1403. i1140615
- Leon MB, Smith CR, Mack M, et al; PARTNER Trial Investigators. Transcatheter aortic-valve implantation for aortic stenosis in patients who cannot undergo surgery. N Engl J Med 2010; 363: 1597-1607. i1140617
- Inglis SC, Pearson S, Treen S, et al. Extending the horizon in chronic heart failure: effects of multidisciplinary, home-based intervention relative to usual care. Circulation 2006; 114: 2466-2473. i1140619
- Clark RA, Inglis SC, McAlister FA, et al. Telemonitoring or structured telephone support programmes for patients with chronic heart failure: systematic review and meta-analysis. BMJ 2007; 334: 942. i1140621
- Neubeck L, Redfern J, Briffa T, et al. The CHOICE (Choice of Health Options In prevention of Cardiovascular Events) replication trial: study protocol. BMC Cardiovasc Disord 2008; 8: 25. i1140623
- Astley CM, Macdougall CJ, Davidson PM, Chew DP. Lost in translation: health resource variability in the achievement of optimal performance and clinical outcome. Circ Cardiovasc Qual Outcomes 2011; 4: 512-520. i1140625
- Evans SM, Scott IA, Johnson NP, et al. Development of clinical-quality registries in Australia: the way forward. Med J Aust 2011; 194: 360-363. i1140627
- McNeil JJ, Evans SM, Johnson NP, Cameron PA. Clinical-quality registries: their role in quality improvement. Med J Aust 2010; 192: 244-245. i1140629
- Pearce C, Haikerwal MC. E-health in Australia: time to plunge into the 21st century. Med J Aust 2010; 193: 397-398. i1140632
Provenance: Commissioned; externally peer reviewed.