Symptoms of depression and risk of emergency department visits among people aged 70 years and over.

BACKGROUND: Older people experiencing depression and anxiety have higher rates of health service utilisation than others, but little is known about whether these influence their seeking of emergency care. The aim was to examine the associations between symptoms of depression and the use of emergency health care, in an Australian context, among a population of people aged 70 years and over initially free of cardiovascular disease, dementia or major physical disability. METHODS: We undertook secondary analyses of data from a large cohort of community-dwelling Australians aged [Formula: see text]70 years. Multivariable logistic regression was used to compare the association of symptoms of depression (measured using the Center for Epidemiological Studies Depression Scale 10 question version, CESD at baseline) with subsequent episodes of emergency care, adjusting for physical and social factors of clinical interest. Marginal adjusted odds ratios were calculated from the logistic regression. RESULTS: Data were available for 10,837 Australian participants aged at least 70 years. In a follow-up assessment three years after the baseline assessment, 17.6% of people self-reported an episode of emergency care (attended an ED of called an emergency ambulance) in the last 12 months. Use of emergency healthcare was similar for men and women (17.8% vs. 17.4% p = 0.61). A score above the cut-off on the CESD at baseline was associated with greater use of emergency health care (OR = 1.35, 95% CI 1.11,1.64). When modelled separately, there was a greater association between a score above the cut-off on the CESD and emergency healthcare for women compared with men. CONCLUSIONS: This study is unique in demonstrating how depressive symptoms among healthy older persons are associated with subsequent increased use of emergency healthcare. Improved understanding and monitoring of mental health in primary care is essential to undertake effective healthcare planning including prevention of needing emergency care.

Combined population genomic screening for three high-risk conditions in Australia: a modelling study.

Background: No previous health-economic evaluation has assessed the impact and cost-effectiveness of offering combined adult population genomic screening for mutliple high-risk conditions in a national public healthcare system. Methods: This modeling study assessed the impact of offering combined genomic screening for hereditary breast and ovarian cancer, Lynch syndrome and familial hypercholesterolaemia to all young adults in Australia, compared with the current practice of clinical criteria-based testing for each condition separately. The intervention of genomic screening, assumed as an up-front single cost in the first annual model cycle, would detect pathogenic variants in seven high-risk genes. The simulated population was 18-40 year-olds (8,324,242 individuals), modelling per-sample test costs ranging AU$100-$1200 (base-case AU$200) from the year 2023 onwards with testing uptake of 50%. Interventions for identified high-risk variant carriers follow current Australian guidelines, modelling imperfect uptake and adherence. Outcome measures were morbidity and mortality due to cancer (breast, ovarian, colorectal and endometrial) and coronary heart disease (CHD) over a lifetime horizon, from healthcare-system and societal perspectives. Outcomes included quality-adjusted life years (QALYs) and incremental cost-effectiveness ratio (ICER), discounted 5% annually (with 3% discounting in scenario analysis). Findings: Over the population lifetime (to age 80 years), the model estimated that genomic screening per-100,000 individuals would lead to 747 QALYs gained by preventing 63 cancers, 31 CHD cases and 97 deaths. In the total model population, this would translate to 31,094 QALYs gained by preventing 2612 cancers, 542 non-fatal CHD events and 4047 total deaths. At AU$200 per-test, genomic screening would require an investment of AU$832 million for screening of 50% of the population. Our findings suggest that this intervention would be cost-effective from a healthcare-system perspective, yielding an ICER of AU$23,926 (∼£12,050/€14,110/US$15,345) per QALY gained over the status quo. In scenario analysis with 3% discounting, an ICER of AU$4758/QALY was obtained. Sensitivity analysis for the base case indicated that combined genomic screening would be cost-effective under 70% of simulations, cost-saving under 25% and not cost-effective under 5%. Threshold analysis showed that genomic screening would be cost-effective under the AU$50,000/QALY willingness-to-pay threshold at per-test costs up to AU$325 (∼£164/€192/US$208). Interpretation: Our findings suggest that offering combined genomic screening for high-risk conditions to young adults would be cost-effective in the Australian public healthcare system, at currently realistic testing costs. Other matters, including psychosocial impacts, ethical and societal issues, and implementation challenges, also need consideration. Funding: Australian Government, Department of Health, Medical Research Future Fund, Genomics Health Futures Mission (APP2009024). National Heart Foundation Future Leader Fellowship (102604).

How does the onset of physical disability or dementia in older adults affect economic wellbeing and co-payments for health care? the impact of gender.

BACKGROUND: Existing studies have illustrated how the onset of physical disability or dementia negatively impacts economic wellbeing and increases out of pocket costs. However, little is known about this relationship in older individuals. Consequently, this study aimed to identify how the onset of physical disability or dementia in older adults affects economic wellbeing and out of pocket costs, and to explore the impact of gender in the context of Australia. METHODS: The data was collected from a large, randomized clinical study, ASPirin in Reducing Events in the Elderly (ASPREE). Two generalized linear models (with and without interaction effects) of total out of pocket costs for those who did and did not develop physical disability or dementia were generated, with adjustment for sociodemographic characteristics at baseline. RESULTS: We included 8,568 older Australian individuals with a mean age of 74.8 years and 53.2% being females. After adjustment for the baseline sociodemographic characteristics, the onset of physical disability did statistically significantly raise out of pocket costs (cost ratio = 1.25) and costs among females were 13.1% higher than males. CONCLUSIONS: This study highlights that classifying different types of health conditions to identify the drivers of out of pocket costs and to explore the gender differences in a long-term follow-up is of importance to examine the financial impact on the older population. These negative financial impacts and gender disparities of physical disability and dementia must be considered by policymakers.

Optimising medication data collection in a large-scale clinical trial.

OBJECTIVE: Pharmaceuticals play an important role in clinical care. However, in community-based research, medication data are commonly collected as unstructured free-text, which is prohibitively expensive to code for large-scale studies. The ASPirin in Reducing Events in the Elderly (ASPREE) study developed a two-pronged framework to collect structured medication data for 19,114 individuals. ASPREE provides an opportunity to determine whether medication data can be cost-effectively collected and coded, en masse from the community using this framework. METHODS: The ASPREE framework of type-to-search box with automated coding and linked free text entry was compared to traditional method of free-text only collection and post hoc coding. Reported medications were classified according to their method of collection and analysed by Anatomical Therapeutic Chemical (ATC) group. Relative cost of collecting medications was determined by calculating the time required for database set up and medication coding. RESULTS: Overall, 122,910 participant structured medication reports were entered using the type-to-search box and 5,983 were entered as free-text. Free-text data contributed 211 unique medications not present in the type-to-search box. Spelling errors and unnecessary provision of additional information were among the top reasons why medications were reported as free-text. The cost per medication using the ASPREE method was approximately USD $0.03 compared with USD $0.20 per medication for the traditional method. CONCLUSION: Implementation of this two-pronged framework is a cost-effective alternative to free-text only data collection in community-based research. Higher initial set-up costs of this combined method are justified by long term cost effectiveness and the scientific potential for analysis and discovery gained through collection of detailed, structured medication data.

Overcoming challenges to data quality in the ASPREE clinical trial.

BACKGROUND: Large-scale studies risk generating inaccurate and missing data due to the complexity of data collection. Technology has the potential to improve data quality by providing operational support to data collectors. However, this potential is under-explored in community-based trials. The Aspirin in reducing events in the elderly (ASPREE) trial developed a data suite that was specifically designed to support data collectors: the ASPREE Web Accessible Relational Database (AWARD). This paper describes AWARD and the impact of system design on data quality. METHODS: AWARD's operational requirements, conceptual design, key challenges and design solutions for data quality are presented. Impact of design features is assessed through comparison of baseline data collected prior to implementation of key functionality (n = 1000) with data collected post implementation (n = 18,114). Overall data quality is assessed according to data category. RESULTS: At baseline, implementation of user-driven functionality reduced staff error (from 0.3% to 0.01%), out-of-range data entry (from 0.14% to 0.04%) and protocol deviations (from 0.4% to 0.08%). In the longitudinal data set, which contained more than 39 million data values collected within AWARD, 96.6% of data values were entered within specified query range or found to be accurate upon querying. The remaining data were missing (3.4%). Participant non-attendance at scheduled study activity was the most common cause of missing data. Costs associated with cleaning data in ASPREE were lower than expected compared with reports from other trials. CONCLUSIONS: Clinical trials undertake complex operational activity in order to collect data, but technology rarely provides sufficient support. We find the AWARD suite provides proof of principle that designing technology to support data collectors can mitigate known causes of poor data quality and produce higher-quality data. Health information technology (IT) products that support the conduct of scheduled activity in addition to traditional data entry will enhance community-based clinical trials. A standardised framework for reporting data quality would aid comparisons across clinical trials. TRIAL REGISTRATION: International Standard Randomized Controlled Trial Number Register, ISRCTN83772183. Registered on 3 March 2005.

Association Between Statin Use and Depressive Symptoms in a Large Community-Dwelling Older Population Living in Australia and the USA: A Cross-Sectional Study.

BACKGROUND: Statin use has been frequently associated with depressive symptoms in an older population. However, the nature of this association is uncertain in the literature. In this study, we aimed to investigate the association of statin intake and the prevalence of depressive symptoms in healthy community-dwelling older adults living in Australia and the USA. METHODS: We analysed baseline data from 19,114 participants, over 70 years of age (over 65 years of age, if from an ethnic minority). The association of self-reported statin use and prevalence of depressive symptoms, as measured by a validated depression scale [Center for Epidemiological Studies Depression Scale (CES-D 10)], was determined using logistic regression models. Multivariable logistic models were implemented to account for important demographics and other lifestyle and socioeconomic factors, such as sex, age, living status, education and smoking history. RESULTS: A total of 5987 individuals were statin users. Of those, 633 (10.6%) had depressive symptoms (CES-D 10 cut-off ≥ 8), compared with 1246 (9.5%) of the non-statin users. In the unadjusted model, statin use was associated with an increase in prevalence of depressive symptoms (odds ratio 1.13, confidence interval 1.02-1.25, p = 0.02). However, after adjusting for important demographic and socioeconomic factors, the use of statins was not significantly associated with depressive symptoms (odds ratio 1.09, confidence interval 0.98-1.20, p = 0.11). In secondary analyses, only simvastatin was marginally associated with an increased prevalence of depressive symptoms. Statins were associated with a decreased prevalence of depressive symptoms in individuals with severe obesity (body mass index > 35 kg/m2) and an increased prevalence in participants between 75 and 84 years of age. CONCLUSION: This study in a large community-dwelling older population did not show any association of statins with late-life depressive symptoms, after accounting for important socioeconomic and demographic factors. Confounding by indication is an important issue to be addressed in future pharmacoepidemiologic studies of statins.

Correction: Population genomic screening of all young adults in a health-care system: a cost-effectiveness analysis.

In the original version of this Article, the affiliation details for Lei Zhang were given as Monash University. While working on the Article Dr. Zhang was also affiliated with the Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, PR China. This has now been corrected in both the PDF and HTML versions of the Article.

Population genomic screening of all young adults in a health-care system: a cost-effectiveness analysis.

PURPOSE: To consider the impact and cost-effectiveness of offering preventive population genomic screening to all young adults in a single-payer health-care system. METHODS: We modeled screening of 2,688,192 individuals, all adults aged 18-25 years in Australia, for pathogenic variants in BRCA1/BRCA2/MLH1/MSH2 genes, and carrier screening for cystic fibrosis (CF), spinal muscular atrophy (SMA), and fragile X syndrome (FXS), at 71% testing uptake using per-test costs ranging from AUD$200 to $1200 (~USD$140 to $850). Investment costs included genetic counseling, surveillance, and interventions (reimbursed only) for at-risk individuals/couples. Cost-effectiveness was defined below AUD$50,000/DALY (disability-adjusted life year) prevented, using an incremental cost-effectiveness ratio (ICER), compared with current targeted testing. Outcomes were cancer incidence/mortality, disease cases, and treatment costs reduced. RESULTS: Population screening would reduce variant-attributable cancers by 28.8%, cancer deaths by 31.2%, and CF/SMA/FXS cases by 24.8%, compared with targeted testing. Assuming AUD$400 per test, investment required would be between 4 and 5 times higher than current expenditure. However, screening would lead to substantial savings in medical costs and DALYs prevented, at a highly cost-effective ICER of AUD$4038/DALY. At AUD$200 per test, screening would approach cost-saving for the health system (ICER = AUD$22/DALY). CONCLUSION: Preventive genomic screening in early adulthood would be highly cost-effective in a single-payer health-care system, but ethical issues must be considered.

Quality of Life for 19,114 participants in the ASPREE (ASPirin in Reducing Events in the Elderly) study and their association with sociodemographic and modifiable lifestyle risk factors.

PURPOSE: To explore the relationship between sociodemographic and lifestyle variables with health-related quality of life (HRQoL) of a large cohort of 'healthy' older individuals. METHODS: The sample included individuals aged 65+ years from Australia (N = 16,703) and the USA (N = 2411) enrolled in the ASPirin in Reducing Events in the Elderly (ASPREE) multicentre placebo-controlled trial study and free of cardiovascular disease, dementia, serious physical disabilities or 'fatal' illnesses. The associations with the physical (PCS) and mental component scores (MCS) of HRQoL (SF-12 questionnaire) were explored using multiple linear regression models from data collected at baseline (2010-2014). RESULTS: The adjusted PCS mean was slightly higher in the USA (49.5 ± 9.1) than Australia (48.2 ± 11.6; p < 0.001), but MCS was similar in both samples (55.7 ± 7.5 and 55.7 ± 9.6, respectively; p = 0.603). Males, younger participants, better educated, more active individuals, or those currently drinking 1-2 alcoholic drinks/day showed a better HRQoL (results more evident for PCS than MCS), while current heavy smokers had the lowest physical HRQoL in both countries. Neither age, walking time, nor alcohol intake was associated with MCS in either cohort. CONCLUSIONS: Baseline HRQoL of ASPREE participants was higher than that reported in population-based studies of older individuals, but the associations between sociodemographic and lifestyle variables were consistent with the published literature. As the cohort ages and develops chronic diseases, ASPREE will be able to document HRQoL changes.

Cross-sectional study of characteristics of clinical registries in Australia: a resource for clinicians and policy makers.

OBJECTIVES: To investigate the attributes of Australian clinical quality registries (CQR). DESIGN AND SETTING: Survey of 40 CQRs between September 2015 and April 2016. PARTICIPANTS: CQR lead investigators/project managers. INTERVENTION: None. MAIN OUTCOME MEASURES: Registry organization, geographical coverage, data quality, management, characteristics, output and outcomes. RESULTS: Of those who responded (34/40; 85.0%), 12 (34.3%) were binational (Australia and New Zealand); 22 (64.7%) were Australian-only registries; and 13 (38.2%) had national coverage. CQRs covered critical care, infection control, cardiovascular diseases, cancer, chronic diseases, procedures and devices, and transplants. Overall, 24/34 CQRs (70.6%) were public sector funded. In total, 14 (41.2%) scored >75% on a composite score developed to assess data quality. Overall, 29/34 (85.3%) produced an annual multi-centred report; only 15/34 (44.1%) produced provider-specific reports. Mortality/survival and quality of life were collected by 82.4 and 32.4% of CQRs, respectively. Most CQRs displayed data in bar/column charts (28/34, 82.4%) and funnel plots (17/34, 50%). Most CQRs adopted an opt-out consent process (n = 17/31; 54.8%). Linear regression indicated that longer duration of CQR was associated with higher data quality (>20 vs 0-5 years coefficient = 4.76, 95% CI: 0.26, 9.26). Opt-in consent was associated with lower data quality (no active consent vs opt-in approval method, coefficient = -5.22, 95% CI: -8.71, -1.72). Six CQRs self-reported having undertaken an economic evaluation of their registry. CONCLUSION: CQRs varied in geographical coverage; stage of development, approach to recruitment; method and frequency of reporting their output; and data quality assurance. An accreditation system for CQRs would likely assist in recognizing high-quality registries.

Hospital Inpatient Costs for Single Ventricle Patients Surviving the Fontan Procedure.

We estimated the inpatient resource use for a Fontan patient from birth to adulthood and explored factors that might induce cost differences (2014 US dollar). Inpatient costing records from 4 hospitals with greatest numbers of Fontan patients in Australia and New Zealand were linked with the Fontan registry database. Inpatient records between July 1995 and September 2014 for 420 Fontan patients were linked, and the most frequent primary diagnoses were hypoplastic left heart syndrome (20.7%), tricuspid atresia (19.7%), and double inlet left ventricle (17.1%). The mean hospital cost for a Fontan patient from birth to 18 years of age was estimated to be $390,601 (95% confidence interval [CI] $264,703 to $516,499), corresponding to 164 (95% CI 98 to 231) inpatient days. The cost incurred from birth through to Fontan completion (the staged procedures period) was $219,482 (95% CI $202,410 to $236,553) and the cost thereafter over 15 years was $146,820 (95% CI $44,409 to $249,231), corresponding to 82 (95% CI 72 to 92) and 65 (95% CI 18 to 112) inpatient days, respectively. Costs were higher in male and hypoplastic left heart syndrome patients in the staged procedures period (p <0.001). Having fenestration was associated with higher costs in the staged procedures period (p <0.001) and lower cost after Fontan over 15 years (p = 0.66). In conclusion, patients with single ventricle congenital heart disease continue to demand considerable inpatient resources after the staged procedures period. Over 40% of the pediatric hospital costs for Fontan patients were estimated to occur after the last planned surgery.

Hospital costs and cost implications of co-morbid conditions for patients with single ventricle in the period through to Fontan completion.

BACKGROUND: Patients undergoing palliative surgeries for single-ventricle conditions are affected by multiple comorbidities or non-cardiac conditions. The prevalence, costs and the cost implications of these conditions have not been assessed. METHODS: Administrative costing records from four hospitals in Australia and New Zealand were linked with the Fontan registry database to analyze the inpatient resource use for co-morbid or non-cardiac conditions. Inpatient costing records from the birth year through to Fontan completion were available for 156 patients. The most frequent primary diagnoses were hypoplastic left heart syndrome (33%), double inlet left ventricle (13%), and tricuspid atresia (12%). RESULTS: During the staged surgical treatment period, children had a mean of 10±6 inpatient admissions and spent 85±64days in hospital. Among these admissions, 3±5 were for non-cardiac conditions, totaling 21±41 inpatient days. Whilst cardiac surgeries were the major reason for resource use (77% of the total cost), other cardiac care that is not surgical contributed 5% and non-cardiac admissions 18% of the total cost. The three most prevalent non-cardiac diagnostic admission categories were 'Respiratory system', 'Digestive system', and 'Ear, nose, mouth and throat', affecting 28%, 21% and 34% of the patients respectively. Multivariate regression estimated that admissions for each of these categories resulted in an increased cost of $34,563 (P=0.08), $52,438 (P=0.05) and $10,525 (P=0.53) per patient respectively for the staged surgical treatment period. CONCLUSIONS: Non-cardiac admissions for single-ventricle patients are common and have substantial resource implications. Further research assessing the causes of admission and extent to which admissions are preventable is warranted.

Demand at the emergency department front door: 10-year trends in presentations.

OBJECTIVES: To measure the increase in volume and age-specific rates of presentations to public hospital emergency departments (EDs), as well as any changes in ED length of stay (LOS); and to describe trends in ED utilisation. DESIGN, PATIENTS AND SETTING: Population-based retrospective analysis of Department of Health public hospital ED data for metropolitan Melbourne for 1999-00 to 2008-09. MAIN OUTCOME MEASURES: Presentation numbers; presentation rates per 1000 person-years; ED LOS. RESULTS: ED presentations increased from 550,662 in 1999-00 to 853,940 in 2008-09. This corresponded to a 32% rise in rate of presentation (95% CI, 29%-35%), an average annual increase of 3.6% (95% CI, 3.4%-3.8%) after adjustment for population changes. Almost 40% of all patients remained in the ED for ≥4 hours in 2008-09, with LOS increasing over time for patients who were more acutely unwell. The likelihood of presentation rose with increasing age, with people aged≥85 years being 3.9 times as likely to present as those aged 35-59 years (95% CI, 3.8-4.0). The volume of older people presenting more than doubled over the decade. They were more likely to arrive by emergency ambulance and were more acutely unwell than 35-59 year olds, with 75% having an LOS≥4 hours and 61% requiring admission in 2008-09. CONCLUSION: The rise in presentation numbers and presentation rates per 1000 person-years over 10 years was beyond that expected from demographic changes. Current models of emergency and primary care are failing to meet community needs at times of acute illness. Given these trends, the proposed 4-hour targets in 2012 may be unachievable unless there is significant redesign of the whole system.

Monitoring drug safety with registries: useful components of postmarketing pharmacovigilance systems.

OBJECTIVE: At the time of licensing by regulatory agencies, the full range of risks and possible adverse drug reactions associated with a medication is rarely fully realized. This commentary aims to describe the role of registries as useful components of postmarketing pharmacovigilance systems for monitoring highly specialized medications associated with significant financial costs. STUDY DESIGN AND SETTING: We consider the limitations of traditional pharmacovigilance programs and discuss the strengths, limitations, and uses of registries in postmarketing pharmacovigilance systems. RESULTS: Registries have become increasingly appealing in postmarketing surveillance of medications; however, their exact role continues to evolve. Key registry projects, including the Prospective Immunogenicity Surveillance Registry, British Society for Rheumatology Biologics Register, Australian Rheumatology Association Database, the Haemostasis Registry, and the Bosentan Patient Registry highlight the value of registries for monitoring the incidence of rare adverse events. CONCLUSION: Although often limited by lack of a control group and the need for complete case ascertainment to maintain data integrity, registries are a useful component of postmarketing pharmacovigilance systems for monitoring highly specialized medications associated with significant financial costs.

The challenges of population ageing: accelerating demand for emergency ambulance services by older patients, 1995-2015.

OBJECTIVE: To measure the growth in emergency ambulance use across metropolitan Melbourne since 1995, to measure the impact of population growth and ageing on these services, and to forecast demand for these services in 2015. DESIGN AND SETTING: A population-based retrospective analysis of Ambulance Victoria's metropolitan emergency ambulance transportation data for the period from financial year 1994-95 to 2007-08, and modelling of demand in the financial year 2014-15. MAIN OUTCOME MEASURES: Numbers and rates of emergency ambulance transportations. RESULTS: The crude annual rate of emergency transportations across all age groups increased from 32 per 1000 people in 1994-95 to 58 per 1000 people in 2007-08. The rate of transportation for all ages increased by 75% (95% CI, 62%-89%) over the 14-year study period, representing an average annual growth rate of 4.8% (95% CI, 4.3%-5.3%) beyond that explained by demographic changes. Patients aged ≥ 85 years were eight times (incident rate ratio, 7.9 [95% CI, 7.6-8.3]) as likely to be transported than those aged 45-69 years over this period. Forecast models suggest that the number of transportations will increase by 46%-69% between 2007-08 and 2014-15, disproportionately driven by increasing usage by patients aged ≥ 85 years. CONCLUSIONS: These findings confirm a dramatic rise in emergency transportations over the study period, beyond that expected from demographic changes. Rates increased across all age groups, but more so in older patients. In the future, such acceleration is likely to have major effects on ambulance services and acute hospital capacity. This calls for further investigation of underlying causes and alternative models of care.

Systematic review of trends in emergency department attendances: an Australian perspective.

Emergency departments (EDs) in many developed countries are experiencing increasing pressure due to rising numbers of patient presentations and emergency admissions. Reported increases range up to 7% annually. Together with limited inpatient bed capacity, this contributes to prolonged lengths of stay in the ED; disrupting timely access to urgent care, posing a threat to patient safety. The aim of this review is to summarise the findings of studies that have investigated the extent of and the reasons for increasing emergency presentations. To do this, a systematic review and synthesis of published and unpublished reports describing trends and underlying drivers associated with the increase in ED presentations in developed countries was conducted. Most published studies provided evidence of increasing ED attendances within developed countries. A series of inter-related factors have been proposed to explain the increase in emergency demand. These include changes in demography and in the organisation and delivery of healthcare services, as well as improved health awareness and community expectations arising from health promotion campaigns. The factors associated with increasing ED presentations are complex and inter-related and include rising community expectations regarding access to emergency care in acute hospitals. A systematic investigation of the demographic, socioeconomic and health-related factors highlighted by this review is recommended. This would facilitate untangling the dynamics of the increase in emergency demand.

Cost of myocardial infarction to the Australian community: a prospective, multicentre survey.

BACKGROUND: in order to evaluate the cost effectiveness of preventive strategies for myocardial infarction (MI), direct cost estimates are required. However, Australian-specific cost estimates for MI are not available. OBJECTIVE: the CosMIC (Cost of Myocardial Infarction to the Community) in Australia study was designed to determine the resource use and estimate the direct costs associated with MI in the Australian Health Care System. This information could subsequently be used in cost-effectiveness evaluations. METHODS: a prospective, multicentre survey was undertaken to investigate the costs associated with the initial hospitalization and the 12-month sequelae for patients with a first-ever MI. During the recruitment period 312 patients with MI from ten hospitals met the eligibility criteria. Of the 141 who consented to participate and were enrolled, three were withdrawn and 138 were included in the final analysis. Detailed data were collected for 12 months after the index hospitalization from several overlapping sources. All costs were considered from the point of view of total direct cost of care, i.e. regardless of who generated or paid for the service. RESULTS: the mean length of hospital stay for the initial acute episode was 7.4 days and the mean cost was $A10 934 (95% confidence interval [CI] 9588, 12 280) based on 2005 Australian dollars. There were 127 cardiac-related readmissions for 55 (40%) patients and the mean length of stay was 2.6 days. The mean total direct cost of an MI per patient was $A20 502 (95% CI 18 428, 22 576). The majority of the costs were for hospitalizations (initial and readmissions), which accounted for 77% of the total 12-month costs, whilst hospitalization costs for the initial acute event accounted for 53% of all costs. During the 12-month follow-up period, out-of-hospital medical service costs (Medicare Benefits Schedule services) contributed to 7% of the total costs incurred, medications 6%, ambulance costs 3% and all other outpatient services and carer costs 7%. CONCLUSION: the CosMIC study addresses the significant uncertainty associated with MI cost-of-illness data in Australia by providing an estimation of direct costs associated with MI in an Australian population. These direct costs can be used to determine the cost effectiveness of prevention strategies.