Assessing the economic value of maintained improvements in Type 1 diabetes management, in terms of HbA1c , weight and hypoglycaemic event incidence.

AIMS: Insulin therapy is indicated for people with Type 1 diabetes mellitus; however, treatment-related weight gain and hypoglycaemia represent barriers to optimal glycaemic management. This study assessed the health economic value of maintained reductions in HbA1c , BMI and hypoglycaemia incidence among the UK Type 1 diabetes population. METHODS: The Cardiff Type 1 Diabetes Model was used to estimate lifetime costs, life-years and quality-adjusted life-years (QALYs) for individuals with Type 1 diabetes at different baseline HbA1c , BMI and hypoglycaemic event rates. Results were discounted at 3.5%, and the net monetary benefit associated with improving Type 1 diabetes management was derived at £20 000/QALY gained. Per-person outputs were inflated to national levels using UK Type 1 diabetes prevalence estimates. RESULTS: Modelled subjects with an HbA1c of 86 mmol/mol (10.0%) were associated with discounted lifetime per-person costs of £23 795; £12 649 of which may be avoided by maintaining an HbA1c of 42 mmol/mol (6.0%). Combined with estimated QALY gains of 2.80, an HbA1c of 42 mmol/mol (6.0%) vs. 86 mmol/mol (10.0%) was associated with a £68 621 per-person net monetary benefit. Over 1 year, unit reductions in BMI produced £120 per-person net monetary benefit, and up to £197 for the avoidance of one non-severe hypoglyceamic event. CONCLUSIONS: Maintained reductions in HbA1c significantly alleviate the burden associated with Type 1 diabetes in the UK. Given the influence of weight and hypoglycaemia on health economic outcomes, they must also be key considerations when assessing the value of Type 1 diabetes technologies in clinical practice.

Tackling the burden of the hepatitis C virus in the UK: characterizing and assessing the clinical and economic consequences.

OBJECTIVES: The hepatitis C virus (HCV) remains a significant public health issue. This study aimed to quantify the clinical and economic burden of chronic hepatitis C in the UK, stratified by disease severity, age and awareness of infection, with concurrent assessment of the impact of implementing a treatment prioritization approach. STUDY DESIGN AND METHODS: A previously published back projection, natural history and cost-effectiveness HCV model was adapted to a UK setting to estimate the disease burden of chronic hepatitis C and end-stage liver disease (ESLD) between 1980 and 2035. A published meta-regression analysis informed disease progression, and UK-specific data informed other model inputs. RESULTS: At 2015, prevalence of chronic hepatitis C is estimated to be 241,487 with 22.20%, 33.72%, 17.22%, 16.67% and 10.19% of patients in METAVIR stages F0, F1, F2, F3 and F4, respectively, but is estimated to fall to 193,999 by 2035. ESLD incidence is predicted to peak in 2031. Assuming all patients are diagnosed and treatment is prioritized in F3 and F4 using highly efficacious direct-acting antiviral (DAA) regimens, a 69.85% reduction in ESLD incidence is predicted between 2015 and 2035, and the cumulative discounted medical expenditure associated with the lifetime management of incident ESLD events is estimated to be £1,202,827,444. CONCLUSIONS: The prevalence of chronic hepatitis C is expected to fall in coming decades; however, the ongoing financial burden is expected to be high due to an increase in ESLD incidence. This study highlights the significant costs of managing ESLD that are likely to be incurred without the employment of effective treatment approaches.

The cost-effectiveness of dapagliflozin versus sulfonylurea as an add-on to metformin in the treatment of Type 2 diabetes mellitus.

AIMS: To assess the cost-effectiveness of dapagliflozin, a sodium-glucose co-transporter-2 (SGLT-2) inhibitor, compared with a sulfonylurea, when added to metformin for treatment of UK people with Type 2 diabetes mellitus inadequately controlled on metformin alone. METHODS: Clinical inputs sourced from a head-to-head randomized controlled trial (RCT) informed the Cardiff diabetes decision model. Risk equations developed from the United Kingdom Prospective Diabetes Study (UKPDS) were used in conjunction with the clinical inputs to predict disease progression and the incidence of micro- and macrovascular complications over a lifetime horizon. Cost and utility data were generated to present the incremental cost-effectiveness ratio (ICER) for both treatment arms, and sensitivity and scenario analyses were conducted to assess the impact of uncertainty on the final model results. RESULTS: The dapagliflozin treatment arm was associated with a mean incremental benefit of 0.467 quality-adjusted life years (QALYs) [95% confidence interval (CI): 0.420; 0.665], with an incremental cost of £1246 (95% CI: £613; £1637). This resulted in an ICER point estimate of £2671 per QALY gained. Incremental costs were shown to be insensitive to parameter variation, with only treatment-related weight change having a significant impact on the incremental QALYs. Probabilistic sensitivity analysis determined that dapagliflozin had a 100% probability of being cost-effective at a willingness-to-pay threshold of £20,000 per QALY. CONCLUSIONS: Dapagliflozin in combination with metformin was shown to be a cost-effective treatment option compared with sulfonylurea from a UK healthcare perspective for people with Type 2 diabetes mellitus who are inadequately controlled on metformin monotherapy.

Cost-effectiveness of dapagliflozin versus DPP-4 inhibitors as an add-on to Metformin in the Treatment of Type 2 Diabetes Mellitus from a UK Healthcare System Perspective.

BACKGROUND: Type 2 diabetes mellitus (T2DM) is a chronic, progressive condition where the primary treatment goal is to maintain control of glycated haemoglobin (HbA1c). In order for healthcare decision makers to ensure patients receive the highest standard of care within the available budget, the clinical benefits of each treatment option must be balanced against the economic consequences. The aim of this study was to assess the cost-effectiveness of dapagliflozin, the first-in-class sodium-glucose co-transporter 2 (SGLT2) inhibitor, compared with a dipeptidyl peptidase-4 inhibitor (DPP-4i), when added to metformin for the treatment of patients with T2DM inadequately controlled on metformin alone. METHODS: The previously published and validated Cardiff diabetes model was used as the basis for this economic evaluation, with treatment effect parameters sourced from a systematic review and network meta-analysis. Costs, derived from a UK healthcare system perspective, and quality-adjusted life years (QALYs), were used to present the final outcome as an incremental cost-effectiveness ratio (ICER) over a lifetime horizon. Univariate and probabilistic sensitivity analyses (PSA) were carried out to assess uncertainty in the model results. RESULTS: Compared with DPP-4i, dapagliflozin was associated with a mean incremental benefit of 0.032 QALYs (95% confidence interval [CI]: -0.022, 0.140) and with an incremental cost of £216 (95% CI: £-258, £795). This resulted in an ICER point estimate of £6,761 per QALY gained. Sensitivity analysis determined incremental costs to be insensitive to variation in most parameters, with only the treatment effect on weight having a notable impact on the incremental QALYs; however, there were no scenarios which raised the ICER above £15,000 per QALY. The PSA estimated that dapagliflozin had an 85% probability of being cost-effective at a willingness-to-pay threshold of £20,000 per QALY gained. CONCLUSIONS: Dapagliflozin in combination with metformin was shown to be a cost-effective treatment option from a UK healthcare system perspective for patients with T2DM who are inadequately controlled on metformin alone.

A population model evaluating the costs and benefits associated with different oral treatment strategies in people with type 2 diabetes.

AIM: The attainment of near-normal glycaemia is an important feature in reducing complications in people with type 2 diabetes. Current treatment pathways advocate a failure-driven therapy algorithm for blood-glucose lowering that leads to the sequential addition of therapies. The addition and combination of multiple blood-glucose lowering agents may be associated with significant side effects, such as weight gain and hypoglycaemia, resulting in a detrimental quality of life. The objective of this study is to quantify the overall costs and quality-adjusted life years (QALY) associated with therapy escalation via oral only treatment strategies with different adverse event profiles as a function of target HbA1c achievement. METHODS: A previously published model was adapted to run as a non-terminating simulation model. The model is designed to evaluate the cost utility of treatment strategies in a population of type 2 diabetes mellitus patients. Model outputs include incidence of micro- and macrovascular complications, hypoglycaemia and diabetes-specific and all-cause mortality. RESULTS: The total number of vascular events predicted by the model varied little across the four treatment strategies because of the glycaemic profile associated with each therapy strategy being similar. The strategy with sequential addition of thiazolidinediones (TZDs) and sulphonylureas (SUs) to metformin (MF) was associated with greatest predicted hypoglycaemia burden. The addition of SU and dipeptidyl peptidase (DPP-4) inhibitors to MF was associated with the highest estimated QALYs. CONCLUSIONS: A treatment strategy involving the sequential addition of SU and TZD to first-line MF therapy is associated with the lowest cost and lowest gain across a population, whereas addition of TZD and SU sequentially to first-line MF therapy resulted in the highest cost and incrementally less QALY gain when compared with treatment strategies involving the addition of a DPP-4 inhibitor and SU to first-line MF (irrespective of the treatment sequence) that were associated with both less cost and greatest QALY gain.

Understanding the inter-relationship between improved glycaemic control, hypoglycaemia and weight change within a long-term economic model.

BACKGROUND: Current guidelines for the management of type 2 diabetes advocate the attainment of sustained near normal glycaemia levels. Metformin is widely accepted as the treatment of choice for the initiation of pharmacotherapy; however, secondary failure of oral monotherapy occurs in 60% of patients resulting in the need for multiple pharmacotherapies. Therapy-related consequences of treatment, such as weight gain and hypoglycaemia impact on the cost-effectiveness profile of various agents. We therefore sought to ascertain the respective contribution of hypoglycaemia, weight change and improved blood glucose control on second-line therapy options added to metformin. METHODS: This study uses a simulation model designed to evaluate the cost utility of new therapies in a population of patients with type 2 diabetes mellitus. Standard model outputs include incidence of micro- and macrovascular complications and diabetes-specific and all-cause mortality. RESULTS: The mean discounted quality-adjusted life year (QALY) predicted by the model was 12.31 years. Reducing Glycosylated haemoglobin (HbA1c) by 1% gave a predicted gain of 0.413 QALYs per patient. A 3-kg weight loss and 30% reduction in hypoglycaemia frequency produced a combined QALY gain of 0.355, whereas the reverse gave a QALY decrement of 0.356. CONCLUSIONS: The results of this analysis quantify the QALY decrement that may result from adverse therapy effects. The beneficial effects of improved glycaemic control on QALYs may be offset by characteristic treatment-specific adverse effects, such as weight gain and hypoglycaemia frequency.

The hospital burden of disease associated with bone metastases and skeletal-related events in patients with breast cancer, lung cancer, or prostate cancer in Spain.

Metastatic bone disease (MBD) is the most common cause of cancer pain and of serious skeletal-related events (SREs) reducing quality of life. Management of MBD involves a multimodal approach aimed at delaying the first SRE and reducing subsequent SREs. The objective of the study was to characterise the hospital burden of disease associated with MBD and SREs following breast, lung and prostate cancer in Spain. Patients admitted into a participating hospital, between 1 January 2003 and 31 December 2003, with one of the required cancers were identified and selected for inclusion into the study. The index admission to hospital, incidence of patients admitted and hospital length of stay were analysed. There were 28,162 patients identified with breast, lung and prostate cancer. The 3 year incidence rates of hospital admission due to MBD were 95 per 1000 for breast cancer, 156 per 1000 for lung cancer and 163 per 1000 for prostate cancer. For patients admitted following an SRE, the incidence rates were 211 per 1000 for breast cancer, 260 per 1000 for lung cancer and 150 per 1000 for prostate cancer. This study has shown that cancer patients consume progressively more hospital resources as MBD and subsequent SREs develop.

A comparison of intermediate and long-acting insulins in people with type 2 diabetes starting insulin: an observational database study.

AIMS: Insulin is normally added to oral glucose-lowering drugs in people with type 2 diabetes when glycaemic control becomes suboptimal. We evaluated outcomes in people starting insulin therapy with neutral protamine Hagedorn (NPH), detemir, glargine or premixed insulins. METHODS: Insulin-naïve people with type 2 diabetes (n = 8009), ≥ 35 years old, HbA(1c) ≥ 6.5% and begun on NPH (n = 1463), detemir (n = 357), glargine (n = 2197) or premix (n = 3992), were identified from a UK database of primary care records (The Health Improvement Network). Unadjusted and multivariate-adjusted analyses were conducted, with persistence of insulin therapy assessed by survival analysis. RESULTS: In the study population (n = 4337), baseline HbA(1c) was 9.5 ± 1.6%, falling to 8.4 ± 1.5% over 12 months (change -1.1 ± 1.8%, p < 0.001). Compared with NPH, people taking detemir, glargine and premix had an adjusted reduction in HbA(1c) from baseline, of 0.00% (p = 0.99), 0.19% (p < 0.001) and 0.03% (p = 0.51). Body weight increased by 2.8 kg overall (p < 0.001), and by 2.3, 1.7, 1.9, and 3.3 kg on NPH, detemir, glargine and premix (p < 0.001 for all groups); insulin dose at 12 months was 0.70 (overall), 0.64, 0.61, 0.56 and 0.76 U/kg/day. After 36 months, 57% of people on NPH, 67% on glargine and 83% on premix remained on their initially prescribed insulin. DISCUSSION AND CONCLUSION: In routine clinical practice, people with type 2 diabetes commenced on NPH experienced a modest disadvantage in glycaemic control after 12 months compared with other insulins. When comparing the insulins, glargine achieved best HbA(1c) reduction, while premix showed greatest weight gain and the highest dose requirement, but had the best persistence of therapy.

Modeling the economic outcomes of immuno-oncology drugs: alternative model frameworks to capture clinical outcomes.

BACKGROUND: Economic models in oncology are commonly based on the three-state partitioned survival model (PSM) distinguishing between progression-free and progressive states. However, the heterogeneity of responses observed in immuno-oncology (I-O) suggests that new approaches may be appropriate to reflect disease dynamics meaningfully. MATERIALS AND METHODS: This study explored the impact of incorporating immune-specific health states into economic models of I-O therapy. Two variants of the PSM and a Markov model were populated with data from one clinical trial in metastatic melanoma patients. Short-term modeled outcomes were benchmarked to the clinical trial data and a lifetime model horizon provided estimates of life years and quality adjusted life years (QALYs). RESULTS: The PSM-based models produced short-term outcomes closely matching the trial outcomes. Adding health states generated increased QALYs while providing a more granular representation of outcomes for decision making. The Markov model gave the greatest level of detail on outcomes but gave short-term results which diverged from those of the trial (overstating year 1 progression-free survival by around 60%). CONCLUSION: Increased sophistication in the representation of disease dynamics in economic models is desirable when attempting to model treatment response in I-O. However, the assumptions underlying different model structures and the availability of data for health state mapping may be important limiting factors.