Improved Glycemic Outcomes With Diabetes Technology Use Independent of Socioeconomic Status in Youth With Type 1 Diabetes.

OBJECTIVE: Technology use in type 1 diabetes (T1D) is impacted by socioeconomic status (SES). This analysis explored relationships between SES, glycemic outcomes, and technology use. RESEARCH DESIGN AND METHODS: A cross-sectional analysis of HbA1c data from 2,822 Australian youth with T1D was undertaken. Residential postcodes were used to assign SES based on the Index of Relative Socio-Economic Disadvantage (IRSD). Linear regression models were used to evaluate associations among IRSD quintile, HbA1c, and management regimen. RESULTS: Insulin pump therapy, continuous glucose monitoring, and their concurrent use were associated with lower mean HbA1c across all IRSD quintiles (P < 0.001). There was no interaction between technology use and IRSD quintile on HbA1c (P = 0.624), reflecting a similar association of lower HbA1c with technology use across all IRSD quintiles. CONCLUSIONS: Technology use was associated with lower HbA1c across all socioeconomic backgrounds. Socioeconomic disadvantage does not preclude glycemic benefits of diabetes technologies, highlighting the need to remove barriers to technology access.

Socioeconomic status and diabetes technology use in youth with type 1 diabetes: a comparison of two funding models.

Background: Technology use, including continuous glucose monitoring (CGM) and insulin pump therapy, is associated with improved outcomes in youth with type 1 diabetes (T1D). In 2017 CGM was universally funded for youth with T1D in Australia. In contrast, pump access is primarily accessed through private health insurance, self-funding or philanthropy. The study aim was to investigate the use of diabetes technology across different socioeconomic groups in Australian youth with T1D, in the setting of two contrasting funding models. Methods: A cross-sectional evaluation of 4957 youth with T1D aged <18 years in the national registry was performed to determine technology use. The Index of Relative Socio-Economic Disadvantage (IRSD) derived from Australian census data is an area-based measure of socioeconomic status (SES). Lower quintiles represent greater disadvantage. IRSD based on most recent postcode of residence was used as a marker of SES. A multivariable generalised linear model adjusting for age, diabetes duration, sex, remoteness classification, and location within Australia was used to determine the association between SES and device use. Results: CGM use was lower in IRSD quintile 1 in comparison to quintiles 2 to 5 (p<0.001) where uptake across the quintiles was similar. A higher percentage of pump use was observed in the least disadvantaged IRSD quintiles. Compared to the most disadvantaged quintile 1, pump use progressively increased by 16% (95% CI: 4% to 31%) in quintile 2, 19% (6% to 33%) in quintile 3, 35% (21% to 50%) in quintile 4 and 51% (36% to 67%) in the least disadvantaged quintile 5. Conclusion: In this large national dataset, use of diabetes technologies was found to differ across socioeconomic groups. For nationally subsidised CGM, use was similar across socioeconomic groups with the exception of the most disadvantaged quintile, an important finding requiring further investigation into barriers to CGM use within a nationally subsidised model. User pays funding models for pump therapy result in lower use with socioeconomic disadvantage, highlighting inequities in this funding approach. For the full benefits of diabetes technology to be realised, equitable access to pump therapy needs to be a health policy priority.

Estimating the cost-effectiveness and return on investment of the Victorian Cardiac Outcomes Registry in Australia: a minimum threshold analysis.

OBJECTIVES: We sought to establish the minimum level of clinical benefit attributable to the Victorian Cardiac Outcomes Registry (VCOR) for the registry to be cost-effective. DESIGN: A modelled cost-effectiveness study of VCOR was conducted from the Australian healthcare system and societal perspectives. SETTING: Observed deaths and costs attributed to coronary heart disease (CHD) over a 5-year period (2014-2018) were compared with deaths and costs arising from a hypothetical situation which assumed that VCOR did not exist. Data from the Australian Bureau of Statistics and published sources were used to construct a decision analytic life table model to simulate the follow-up of Victorians aged ≥25 years for 5 years, or until death. The assumed contribution of VCOR to the proportional change in CHD mortality trend observed over the study period was varied to quantify the minimum level of clinical benefits required for the registry to be cost-effective. The marginal costs of VCOR operation and years of life saved (YoLS) were estimated. PRIMARY OUTCOME MEASURES: The return on investment (ROI) ratio and the incremental cost-effectiveness ratio (ICER). RESULTS: The minimum proportional change in CHD mortality attributed to VCOR required for the registry to be considered cost-effective was 0.125%. Assuming this clinical benefit, a net return of $A4.30 for every dollar invested in VCOR was estimated (ROI ratio over 5 years: 4.3 (95% CI 3.6 to 5.0)). The ICER estimated for VCOR was $A49 616 (95% CI $A42 228 to $A59 608) per YoLS. Sensitivity analyses found that the model was sensitive to the time horizon assumed and the extent of registry contribution to CHD mortality trends. CONCLUSIONS: VCOR is likely cost-effective and represents a sound investment for the Victorian healthcare system. Our evaluation highlights the value of clinical quality registries in Australia.

Enhancing the Detection and Care of Heterozygous Familial Hypercholesterolemia in Primary Care: Cost-Effectiveness and Return on Investment.

BACKGROUND: Heterozygous familial hypercholesterolemia (HeFH) is under-detected and undertreated. A general practitioner-led screening and care program for HeFH effectively identified and managed patients with HeFH. We evaluated the cost-effectiveness and the return on investment of an enhanced-care strategy for HeFH in primary care in Australia. METHODS: We developed a multistate Markov model to estimate the outcomes and costs of a general practitioner-led detection and management strategy for HeFH in primary care compared with the standard of care in Australia. The population comprised individuals aged 50 to 80 years, of which 44% had prior cardiovascular disease. Cardiovascular risk, HeFH prevalence, treatment effects, and acute and chronic health care costs were derived from published sources. The study involved screening for HeFH using a validated data-extraction tool (TARB-Ex), followed by a consultation to improve care. The detection rate of HeFH was 16%, and 74% of the patients achieved target LDL-C (low-density lipoprotein cholesterol). Quality-adjusted life years, health care costs, productivity losses, incremental cost-effectiveness ratio, and return on investment ratio were evaluated, outcomes discounted by 5% annually, adopting a health care and a societal perspective. RESULTS: Over the lifetime horizon, the model estimated a gain of 870 years of life lived and 1033 quality-adjusted life years when the general practitioner-led program was employed compared with standard of care. This resulted in an incremental cost-effectiveness ratio of AU$14 664/quality-adjusted life year gained from a health care perspective. From a societal perspective, this strategy, compared with standard of care was cost-saving, with a return on investment of AU$5.64 per dollar invested. CONCLUSIONS: An enhanced general practitioner-led model of care for HeFH is likely to be cost-effective.

Healthcare cost burden of acute chest pain presentations.

BACKGROUND: This study aimed to estimate the direct healthcare cost burden of acute chest pain attendances presenting to ambulance in Victoria, Australia, and to identify key cost drivers especially among low-risk patients. METHODS: State-wide population-based cohort study of consecutive adult patients attended by ambulance for acute chest pain with individual linkage to emergency and hospital admission data in Victoria, Australia (1 January 2015-30 June 2019). Direct healthcare costs, adjusted for inflation to 2020-2021 ($A), were estimated for each component of care using a casemix funding method. RESULTS: From 241 627 ambulance attendances for chest pain during the study period, mean chest pain episode cost was $6284, and total annual costs were estimated at $337.4 million ($68 per capita per annum). Total annual costs increased across the period ($310.5 million in 2015 vs $384.5 million in 2019), while mean episode costs remained stable. Cardiovascular conditions (25% of presentations) were the most expensive (mean $11 523, total annual $148.7 million), while a non-specific pain diagnosis (49% of presentations) was the least expensive (mean $3836, total annual $93.4 million). Patients classified as being at low risk of myocardial infarction, mortality or hospital admission (Early Chest pain Admission, Myocardial infarction, and Mortality (ECAMM) score) represented 31%-57% of the cohort, with total annual costs estimated at $60.6 million-$135.4 million, depending on the score cut-off used. CONCLUSIONS: Total annual costs for acute chest pain presentations are increasing, and a significant proportion of the cost burden relates to low-risk patients and non-specific pain. These data highlight the need to improve the cost-efficiency of chest pain care pathways.

Chest Pain Management Using Prehospital Point-of-Care Troponin and Paramedic Risk Assessment.

Importance: Prehospital point-of-care troponin testing and paramedic risk stratification might improve the efficiency of chest pain care pathways compared with existing processes with equivalent health outcomes, but the association with health care costs is unclear. Objective: To analyze whether prehospital point-of-care troponin testing and paramedic risk stratification could result in cost savings compared with existing chest pain care pathways. Design, Setting, and Participants: In this economic evaluation of adults with acute chest pain without ST-segment elevation, cost-minimization analysis was used to assess linked ambulance, emergency, and hospital attendance in the state of Victoria, Australia, between January 1, 2015, and June 30, 2019. Interventions: Paramedic risk stratification and point-of-care troponin testing. Main Outcomes and Measures: The outcome was estimated mean annualized statewide costs for acute chest pain. Between May 17 and June 25, 2022, decision tree models were developed to estimate costs under 3 pathways: (1) existing care, (2) paramedic risk stratification and point-of-care troponin testing without prehospital discharge, or (3) prehospital discharge and referral to a virtual emergency department (ED) for low-risk patients. Probabilities for the prehospital pathways were derived from a review of the literature. Multivariable probabilistic sensitivity analysis with 50 000 Monte Carlo iterations was used to estimate mean costs and cost differences among pathways. Results: A total of 188 551 patients attended by ambulance for chest pain (mean [SD] age, 61.9 [18.3] years; 50.5% female; 49.5% male; Indigenous Australian, 2.0%) were included in the model. Estimated annualized infrastructure and staffing costs for the point-of-care troponin pathways, assuming a 5-year device life span, was $2.27 million for the pathway without prehospital discharge and $4.60 million for the pathway with prehospital discharge (incorporating virtual ED costs). In the decision tree model, total annual cost using prehospital point-of-care troponin and paramedic risk stratification was lower compared with existing care both without prehospital discharge (cost savings, $6.45 million; 95% uncertainty interval [UI], $0.59-$16.52 million; lower in 94.1% of iterations) and with prehospital discharge (cost savings, $42.84 million; 95% UI, $19.35-$72.26 million; lower in 100% of iterations). Conclusions and Relevance: Prehospital point-of-care troponin and paramedic risk stratification for patients with acute chest pain could result in substantial cost savings. These findings should be considered by policy makers in decisions surrounding the potential utility of prehospital chest pain risk stratification and point-of-care troponin models provided that safety is confirmed in prospective studies.

Lost Therapeutic Benefit of Delayed Low-Density Lipoprotein Cholesterol Control in Statin-Treated Patients and Cost-Effectiveness Analysis of Lipid-Lowering Intensification.

OBJECTIVES: Attainment of low-density lipoprotein cholesterol (LDL-C) therapeutic goals in statin-treated patients remains suboptimal. We quantified the health economic impact of delayed lipid-lowering intensification from an Australian healthcare and societal perspective. METHODS: A lifetime Markov cohort model (n = 1000) estimating the impact on coronary heart disease (CHD) of intensifying lipid-lowering treatment in statin-treated patients with uncontrolled LDL-C, at moderate to high risk of CHD with no delay or after a 5-year delay, compared with standard of care (no intensification), starting at age 40 years. Intensification was tested with high-intensity statins or statins + ezetimibe. LDL-C levels were extracted from a primary care cohort. CHD risk was estimated using the pooled cohort equation. The effect of cumulative exposure to LDL-C on CHD risk was derived from Mendelian randomization data. Outcomes included CHD events, quality-adjusted life-years (QALYs), healthcare and productivity costs, and incremental cost-effectiveness ratios (ICERs). All outcomes were discounted annually by 5%. RESULTS: Over the lifetime horizon, compared with standard of care, achieving LDL-C control with no delay with high-intensity statins prevented 29 CHD events and yielded 30 extra QALYs (ICERs AU$13 205/QALY) versus 22 CHD events and 16 QALYs (ICER AU$20 270/QALY) with a 5-year delay. For statins + ezetimibe, no delay prevented 53 CHD events and gave 45 extra QALYs (ICER AU$37 271/QALY) versus 40 CHD events and 29 QALYs (ICER of AU$44 218/QALY) after a 5-year delay. CONCLUSIONS: Delaying attainment of LDL-C goals translates into lost therapeutic benefit and a waste of resources. Urgent policies are needed to improve LDL-C goal attainment in statin-treated patients.

Cost-Effectiveness Analysis of Tobacco Control Strategies in Indonesia.

OBJECTIVES: In Indonesia, tobacco smoking is a significant public health problem that continues to grow, with a prevalence among the highest worldwide. This study aimed to assess the cost-effectiveness of government-funded varenicline, smoking bans in public places, and an additional 10% tobacco tax in Indonesia. METHODS: Markov modeling of Indonesians aged 15 to 84 years was undertaken, with simulated follow-up until age 85 years. Data on demographics, smoking prevalence, and mortality were drawn from the Global Burden of Disease Study 2017. Data regarding the efficacy and costs of the 3 interventions were gathered from published sources. Costs and benefits accrued beyond one year were discounted at 3% per annum. The year value of costing data was 2020. RESULTS: Government-funded varenicline, smoking bans in public places, and an additional 10% tobacco tax were predicted to save 5.5 million, 1.6 million, and 1.7 million years of life, respectively (all discounted). In terms of quality-adjusted life-years, 3 tobacco interventions were predicted to gain 11.9 million, 3.47 million, and 3.78 million in quality-adjusted life-years, respectively. The savings in smoking-related healthcare costs amounted to US $313.8 billion, US $97.5 billion, and US $106 billion, respectively. Hence, from the perspective of the healthcare system, all 3 interventions were cost saving (dominant). CONCLUSIONS: In Indonesia, tobacco control measures are likely to be highly cost-effective and even cost saving from the healthcare system's perspective. These cost savings can be balanced against economic losses that would result from the impact on the sizable Indonesian tobacco industry.

Exploring the Health and Economic Burden Among Truck Drivers in Australia: A Health Economic Modelling Study.

Background The transport and logistics industry contributes to a significant proportion of the Australian economy. However, few studies have explored the economic and clinical burden attributed to poor truck driver health. We therefore estimated the work-related mortality burden among truck drivers over a 10-year period. Methods Dynamic life table modelling was used to simulate the follow-up of the Australian male working-age population (aged 15-65 years) over a 10-year period of follow-up (2021-2030). The model estimated the number of deaths occurring among the Australian working population, as well as deaths occurring for male truck drivers. Data from the Driving Health study and other published sources were used to inform work-related mortality and associated productivity loss, hospitalisations and medication costs, patient utilities and the value of statistical life year (VoSLY). All outcomes were discounted by 5% per annum. Results Over 10 years, poor truck driver health was associated with a loss of 21,173 years of life lived (discounted), or 18,294 QALYs (discounted). Healthcare costs amounted to AU$485 million (discounted) over this period. From a broader, societal perspective, a total cost of AU$2.6 billion (discounted) in lost productivity and AU$4.7 billion in lost years of life was estimated over a 10-year period. Scenario analyses supported the robustness of our findings. Conclusions The health and economic consequences of poor driver health are significant, and highlight the need for interventions to reduce the burden of work-related injury or disease for truck drivers and other transport workers.

The Hospitalizations for Cardiovascular and Respiratory Conditions, Emergency Department Presentations and Economic Burden of Bushfires in Australia Between 2021 and 2030: A Modelling Study.

The health and environmental impacts of bushfires results in substantial economic costs to society. The present analysis sought to estimate the burden of bushfires in Australia over 10 years from 2021 to 2030 inclusive. A dynamic model with yearly cycles was constructed to simulate follow-up of the entire Australian population from 2021 to 2030, capturing deaths and years of life lived. Estimated numbers of bushfire-related-deaths, costs of related-hospitalizations, and broader economic costs were derived from published sources. A 5% annual discount rate was applied to all costs incurred and life years lived from 2022 onwards. Over the 10 years from 2021 to 2030, the modelled analysis predicted that 2418 [95% confidence interval (CI) 2412 - 2422] lives would be lost to bushfires, as well as 8590 [95% CI 8573 - 8606] years of life lost (discounted). Healthcare costs arising from deaths for smoke-related conditions, hospitalizations amounted to AUD $110 million [95% CI 91-129 million] (discounted). The impact on gross domestic product (GDP) totaled AUD $17.2 billion. A hypothetical intervention that reduces the impact of bushfires by 10% would save $11 million in healthcare costs and $1.9 billion in GDP. The health and economic burden of bushfires in Australia looms large during 2021 and 2030. This underscores the importance of actions to mitigate bushfire risk. The findings are useful for the future design and delivery and help policy makers to make informed decisions about investment in strategies to reduce the incidence and severity of future bushfires.

Nationally Subsidized Continuous Glucose Monitoring: A Cost-effectiveness Analysis.

OBJECTIVE: The Continuous Glucose Monitoring (CGM) Initiative recently introduced universal subsidized CGM funding for people with type 1 diabetes under 21 years of age in Australia. We thus aimed to evaluate the cost-effectiveness of this CGM Initiative based on national implementation data and project the economic impact of extending the subsidy to all age-groups. RESEARCH DESIGN AND METHODS: We used a patient-level Markov model to simulate disease progression for young people with type 1 diabetes and compared government-subsidized access to CGM with the previous user-funded system. Three years of real-world clinical input data were sourced from analysis of the Australasian Diabetes Data Network and National Diabetes Services Scheme registries. Costs were considered from the Australian health care system's perspective. An annual discount rate of 5% was applied to future costs and outcomes. Uncertainty was evaluated with probabilistic and deterministic sensitivity analyses. RESULTS: Government-subsidized CGM funding for young people with type 1 diabetes compared with a completely user-funded model resulted in an incremental cost-effectiveness ratio (ICER) of AUD 39,518 per quality-adjusted life-year (QALY) gained. Most simulations (85%) were below the commonly accepted willingness-to-pay threshold of AUD 50,000 per QALY gained in Australia. Sensitivity analyses indicated that base-case results were robust, though strongly impacted by the cost of CGM devices. Extending the CGM Initiative throughout adulthood resulted in an ICER of AUD 34,890 per QALY gained. CONCLUSIONS: Providing subsidized access to CGM for people with type 1 diabetes was found to be cost-effective compared with a completely user-funded model in Australia.

Estimating the economic impact of acute coronary syndrome in New Zealand over time (ANZACS-QI 64): a national registry-based cost burden study.

OBJECTIVES: To estimate the changes in costs associated with acute coronary syndrome (ACS) admissions in New Zealand (NZ) public hospitals over a 12-year period. DESIGN: A cost-burden study of ACS in NZ was conducted from the NZ healthcare system perspective. SETTING: Hospital admission costs were estimated using relevant diagnosis-related groups and their costs for publicly funded casemix hospitalisations, and applied to 190 364 patients with ACS admitted to NZ public hospitals between 2007 and 2018 identified from routine national hospital datasets. Trends in the costs of index ACS hospitalisation, hospital admissions costs, coronary revascularisation and all-cause mortality up to 1 year were evaluated. All costs were presented as 2019 NZ dollars. PRIMARY OUTCOME MEASURES: Healthcare costs attributed to ACS admissions in NZ over time. RESULTS: Between 2007 and 2018, there was a 42% decrease in costs attributed to ACS (NZ$7.7 million (M) to NZ$4.4 M per 100 000 per year), representing a decrease of NZ$298 827 per 100 000 population per year. Mean admission costs associated with each admission declined from NZ$18 411 in 2007 to NZ$16 898 over this period (p<0.001) after adjustment for key clinical and procedural characteristics. These reductions were against a background of increased use of coronary revascularisation (23.1% (2007) to 38.1% (2018)), declining ACS admissions (366-252 per 100 000 population) and an improvement in 1-year survival post-ACS. Nevertheless, the total ACS cost burden remained considerable at NZ$237 M in 2018. CONCLUSIONS: The economic cost of hospitalisations for ACS in NZ decreased considerably over time. Further studies are warranted to explore the association between reductions in ACS cost burden and changes in the management of ACS.

The Cost of Control: Cost-effectiveness Analysis of Hybrid Closed-Loop Therapy in Youth.

OBJECTIVE: Hybrid closed-loop (HCL) therapy is an efficacious management strategy for young people with type 1 diabetes. However, high costs prevent equitable access. We thus sought to evaluate the cost-effectiveness of HCL therapy compared with current care among young people with type 1 diabetes in Australia. RESEARCH DESIGN AND METHODS: A patient-level Markov model was constructed to simulate disease progression for young people with type 1 diabetes using HCL therapy versus current care, with follow-up from 12 until 25 years of age. Downstream health and economic consequences were compared via decision analysis. Treatment effects and proportions using different technologies to define "current care" were based primarily on data from an Australian pediatric randomized controlled trial. Transition probabilities and utilities for health states were sourced from published studies. Costs were considered from the Australian health care system's perspective. An annual discount rate of 5% was applied to future costs and outcomes. Uncertainty was evaluated with probabilistic and deterministic sensitivity analyses. RESULTS: Use of HCL therapy resulted in an incremental cost-effectiveness ratio of Australian dollars (AUD) $32,789 per quality-adjusted life year (QALY) gained. The majority of simulations (93.3%) were below the commonly accepted willingness-to-pay threshold of AUD $50,000 per QALY gained in Australia. Sensitivity analyses indicated that the base-case results were robust. CONCLUSIONS: In this first cost-effectiveness analysis of HCL technologies for the management of young people with type 1 diabetes, HCL therapy was found to be cost-effective compared with current care in Australia.

Patient Perceived Financial Burden in Haematological Malignancies: A Systematic Review.

Advances in scientific understanding have led to novel therapies and improved supportive care for many patients with haematological malignancies. However, these new drugs are often costly, only available at centralised health care facilities, require regular specialist reviews and lengthy treatment regimens. This leads to a significant financial burden. Understanding the impact of financial burden on haematological patients is important to appreciate the urgency of alleviating this systemic issue. METHOD: Eligible studies were identified by systematically searching Medline, PsycINFO, CINAHL and Embase. Self-reported data reported in both quantitative and qualitative studies that described the financial burden for patients with haematological malignancies were included. Quality appraisal of the included studies was undertaken using the Joanna Briggs Institute tools. A narrative synthesis was employed. For quantitative studies, outcomes were extracted, tabulated and categorised to find similarities and differences between the studies. For qualitative studies, quotations, codes and themes were extracted and then clustered. An inductive approach derived qualitative themes. RESULTS: Twenty studies were identified for inclusion. Of the quantitative studies most (83%) employed un-validated researcher-generated measures to assess financial burden. Between 15-59% of patients experienced a financial burden. Out-of-pocket expenditure was frequent for clinical appointments, prescription and non-prescription medication, and travel. Financial burden was associated with a worsening quality of life and living in metropolitan areas, but there was no evidence for impact on survival. Patient-centred experiences from the qualitative inquiry complemented the quantitative findings and five themes were determined: familial or household impact; reliance on others; barriers to care due to cost; and barriers to accessing financial assistance and sources of out-of-pocket expenses. CONCLUSION: The impacts of financial burden are yet to be fully appreciated in haematological malignancies, exacerbated by the heterogeneous methods employed by researchers. Future work should focus on identifying the long-term ramifications of financial burden for patients and should trial interventions to reduce its prevalence and patient impacts.

Estimating the benefits of obesity prevention on productivity: an Australian perspective.

BACKGROUND/OBJECTIVES: Obesity poses one of the biggest public health challenges globally. In addition to the high costs of obesity to the healthcare system, obesity also impacts work productivity. We aimed to estimate the benefits of preventing obesity in terms of years of life, productivity-adjusted life years (PALYs) and associated costs over 10 years. SUBJECTS/METHODS: Dynamic life table models were constructed to estimate years of life and PALYs saved if all new cases of obesity were prevented among Australians aged 20-69 years from 2021 to 2030. Life tables were sex specific and the population was classified into normal weight, overweight and obese. The model simulation was first undertaken assuming currently observed age-specific incidences of obesity, and then repeated assuming all new cases of obesity were reduced by 2 and 5%. The differences in outcomes (years of life, PALYs, and costs) between the two modelled outputs reflected the potential benefits that could be achieved through obesity prevention. All outcomes were discounted by 5% per annum. RESULTS: Over the next 10 years, 132 million years of life and 81 million PALYs would be lived by Australians aged 20-69 years, contributing AU$17.0 trillion to the Australian economy in terms of GDP. A 5% reduction in new cases of obesity led to a gain of 663 years of life and 1229 PALYs, equivalent to AU$262 million in GDP. CONCLUSIONS: Prevention of obesity is projected to result in substantial economic gains due to improved health and productivity. This further emphasises the need for public health prevention strategies to reduce this growing epidemic.

Attainment of low-density lipoprotein cholesterol goals in patients treated with combination therapy: A retrospective cohort study in primary care.

BACKGROUND: The attainment of low-density lipoprotein cholesterol (LDL-C) therapeutic goals in real-world settings among patients receiving combination lipid-lowering therapy (LLT, statins plus non-statins) is not well characterised. OBJECTIVE: To evaluate LDL-C levels and LDL-C goal attainment in patients treated with combination LLT in real-world primary care settings. METHODS: A retrospective cohort study of patients treated with combination LLT. Data were drawn from general practitioner electronic medical records across Australia from 2013 to 2019. The on-treatment goal for LDL-C was < 2 mmol/L (77 mg/dL), as per Australian guidelines. RESULTS: The cohort analysed included 9,173 individuals treated with combination LLT. The mean age was 65.8 years (standard deviation [SD] 11.5), 60.1% were males, and 56.7% had at least one cardiovascular risk factor. The median on-treatment LDL-C was 2.1 mmol/L (IQR 1.6-2.8), and overall 45.4% of the cohort met LDL-C goals, with individuals on fixed-dose combination of statins plus ezetimibe having the highest rates of achievement (49.8%). In multivariable logistic regression analyses, factors associated with LDL-C goal achievement were male sex (odds ratio [OR] 1.4, 95% confidence interval [CI] 1.3-1.6, p < 0.001), aged >80 years (OR 4.2, 95% CI 1.5 - 6.6, p = 0.006), and a history of T2DM (OR 1.7; 95% CI 1.5-1.9, p < 0.001) or coronary heart disease (OR 1.4, 95% CI 1.2 - 1.6, p < 0.001). CONCLUSIONS: More than half of Australians on combination LLT did not achieve LDL-C goals. Urgent measures are needed to address this gap in clinical practice to minimise negative health outcomes.

The cost-effectiveness of radial access percutaneous coronary intervention: A propensity-score matched analysis of Victorian data.

BACKGROUND: Despite evidence of the comparative benefits of transradial access percutaneous coronary intervention (PCI) over transfemoral access, its uptake remains highly varied across Australia. Few studies have explored the implications of the choice of access site during PCI from the perspective of the Australian healthcare setting. We, therefore, performed a cost-effectiveness analysis of radial versus femoral access PCI. METHODS: Data from the Victorian Cardiac Outcomes Registry (VCOR) were used to inform our economic analyses. Patients treated through either radial or femoral access PCI were propensity score-matched using the inverse probability weighted (IPW) method, and the incidence of major bleeding and all-cause mortality in the cohort was used to inform an economic model comprising a hypothetical sample of 1000 patients. Costs and utility data were drawn from published sources. The economic evaluation adopted the perspective of the Australian healthcare system. RESULTS: Among a cohort of 1000 patients over 1 year, there were 19 fewer deaths, and six fewer episodes of nonfatal major bleeding in the radial group compared to the femoral group. Total cost savings attributed to radial access was AUD $1 214 688. Hence, from a health economic point of view, radial access PCI was dominant over femoral access PCI. Sensitivity analyses supported the robustness of these findings. CONCLUSIONS: Radial access is associated with improved patient outcomes and considerably lower costs relative to femoral access PCI. Our findings support radial access being the preferred approach for PCI across a variety of indications in Australia.

Projected New-Onset Cardiovascular Disease by Socioeconomic Group in Australia.

BACKGROUND: Socioeconomic status has an important effect on cardiovascular disease (CVD). Data on the economic implications of CVD by socioeconomic status are needed to inform healthcare planning. OBJECTIVES: The aim of this study was to project new-onset CVD and related health economic outcomes in Australia by socioeconomic status from 2021 to 2030. METHODS: A dynamic population model was built to project annual new-onset CVD by socioeconomic quintile in Australians aged 40-79 years from 2021 to 2030. Cardiovascular risk was estimated using the Pooled Cohort Equation (PCE) from Australian-specific data, stratified for each socioeconomic quintile. The model projected years of life lived, quality- adjusted life-years (QALYs), acute healthcare medical costs, and productivity losses due to new-onset CVD. All outcomes were discounted by 5% annually. RESULTS: PCE estimates showed that 8.4% of people in the most disadvantaged quintile were at high risk of CVD, compared with 3.7% in the least disadvantaged quintile (p < 0.001). From 2021 to 2030, the model projected 32% more cardiovascular events in the most disadvantaged quintile compared with the least disadvantaged (127,070 in SE 1 vs. 96,222 in SE 5). Acute healthcare costs in the most disadvantaged quintile were Australian dollars (AU$) 183 million higher than the least disadvantaged, and the difference in productivity costs was AU$959 million. Removing the equity gap (by applying the cardiovascular risk from the least disadvantaged quintile to the whole population) would prevent 114,822 cardiovascular events and save AU$704 million of healthcare costs and AU$3844 million of lost earnings over the next 10 years. CONCLUSION: Our results highlight the pressing need to implement primary prevention interventions to reduce cardiovascular health inequity. This model provides a platform to incorporate socioeconomic status into health economic models by estimating which interventions are likely to yield more benefits in each socioeconomic quintile.

Do patients with haematological malignancies suffer financial burden? A cross-sectional study of patients seeking care through a publicly funded healthcare system.

BACKGROUND: It is increasingly appreciated that some patients with cancer will experience financial burden due to their disease but little is known specifically about patients with haematological malignancies. Therefore, this study aimed to measure financial toxicity experienced by patients with haematological malignancies in the context of a publicly funded health care system. METHOD: All current patients diagnosed with leukaemia, lymphoma or multiple myeloma, from two major metropolitan health services in Melbourne, Australia were invited to complete a survey capturing; patient demographics, employment status, income sources, financial coping and insurances, OOP expenses and self-reported financial toxicity using a validated measure. RESULTS: Of the 240 people approached, 113 (47 %) participated and most had leukaemia (62 %). Forty-seven participants (42 %) experienced some degree of financial toxicity using the Comprehensive Score for financial toxicity (COST) instrument. On multivariate linear regression, older age (>65 years, p = 0.007), higher monthly income (>$8000, p = 0.008), not having and being forced into unemployment or early retirement (p < 0.001) remained significantly associated with less financial toxicity. CONCLUSION: Financial toxicity is present in Australian haematology patients and those at higher risk may be patients of working age, those without private health insurance and patients that have been forced to retire early or have become unemployed due to their diagnosis.

The Cost-Effectiveness of Supplemental Carnosine in Type 2 Diabetes.

In this paper, we assess the cost-effectiveness of 1 g daily of carnosine (an over the counter supplement) in addition to standard care for the management of type 2 diabetes and compare it to standard care alone. Dynamic multistate life table models were constructed in order to estimate both clinical outcomes and costs of Australians aged 18 years and above with and without type 2 diabetes over a ten-year period, 2020 to 2029. The dynamic nature of the model allowed for population change over time (migration and deaths) and accounted for the development of new cases of diabetes. The three health states were 'Alive without type 2 diabetes', 'Alive with type 2 diabetes' and 'Dead'. Transition probabilities, costs, and utilities were obtained from published sources. The main outcome of interest was the incremental cost-effectiveness ratio (ICER) in terms of cost per year of life saved (YoLS) and cost per quality-adjusted life year (QALY) gained. Over the ten-year period, the addition of carnosine to standard care treatment resulted in ICERs (discounted) of AUD 34,836 per YoLS and AUD 43,270 per QALY gained. Assuming the commonly accepted willingness to pay threshold of AUD 50,000 per QALY gained, supplemental dietary carnosine may be a cost-effective treatment option for people with type 2 diabetes in Australia.