Development of the simulation-based German albuminuria screening model (S-GASM) for estimating the cost-effectiveness of albuminuria screening in Germany

Background

Chronic kidney disease is often asymptomatic in its early stages but constitutes a severe burden for patients and causes major healthcare systems costs worldwide. While models for assessing the cost-effectiveness of screening were proposed in the past, they often presented only a limited view. This study aimed to develop a simulation-based German Albuminuria Screening Model (S-GASM) and present some initial applications.

Methods

The model consists of an individual-based simulation of disease progression, considering age, gender, body mass index, systolic blood pressure, diabetes, albuminuria, glomerular filtration rate, and quality of life, furthermore, costs of testing, therapy, and renal replacement therapy with parameters based on published evidence. Selected screening scenarios were compared in a cost-effectiveness analysis.

Results

Compared to no testing, a simulation of 10 million individuals with a current age distribution of the adult German population and a follow-up until death or the age of 90 shows that a testing of all individuals with diabetes every two years leads to a reduction of the lifetime prevalence of renal replacement therapy from 2.5% to 2.3%. The undiscounted costs of this intervention would be 1164.10 € / QALY (quality-adjusted life year). Considering saved costs for renal replacement therapy, the overall undiscounted costs would be—12581.95 € / QALY. Testing all individuals with diabetes or hypertension and screening the general population reduced the lifetime prevalence even further (to 2.2% and 1.8%, respectively). Both scenarios were cost-saving (undiscounted, - 7127.10 €/QALY and—5439.23 €/QALY).

Conclusions

The S-GASM can be used for the comparison of various albuminuria testing strategies. The exemplary analysis demonstrates cost savings through albuminuria testing for individuals with diabetes, diabetes or hypertension, and for population-wide screening.

Estimated effect of increased diagnosis, treatment, and control of diabetes and its associated cardiovascular risk factors among low-income and middle-income countries: a microsimulation model

BACKGROUND

Given the increasing prevalence of diabetes in low-income and middle-income countries (LMICs), we aimed to estimate the health and cost implications of achieving different targets for diagnosis, treatment, and control of diabetes and its associated cardiovascular risk factors among LMICs.

METHODS

We constructed a microsimulation model to estimate disability-adjusted life-years (DALYs) lost and health-care costs of diagnosis, treatment, and control of blood pressure, dyslipidaemia, and glycaemia among people with diabetes in LMICs. We used individual participant data-specifically from the subset of people who were defined as having any type of diabetes by WHO standards-from nationally representative, cross-sectional surveys (2006-18) spanning 15 world regions to estimate the baseline 10-year risk of atherosclerotic cardiovascular disease (defined as fatal and non-fatal myocardial infarction and stroke), heart failure (ejection fraction of <40%, with New York Heart Association class III or IV functional limitations), end-stage renal disease (defined as an estimated glomerular filtration rate <15 mL/min per 1·73 m2 or needing dialysis or transplant), retinopathy with severe vision loss (<20/200 visual acuity as measured by the Snellen chart), and neuropathy with pressure sensation loss (assessed by the Semmes-Weinstein 5·07/10 g monofilament exam). We then used data from meta-analyses of randomised controlled trials to estimate the reduction in risk and the WHO OneHealth tool to estimate costs in reaching either 60% or 80% of diagnosis, treatment initiation, and control targets for blood pressure, dyslipidaemia, and glycaemia recommended by WHO guidelines. Costs were updated to 2020 International Dollars, and both costs and DALYs were computed over a 10-year policy planning time horizon at a 3% annual discount rate.

FINDINGS

We obtained data from 23 678 people with diabetes from 67 countries. The median estimated 10-year risk was 10·0% (IQR 4·0-18·0) for cardiovascular events, 7·8% (5·1-11·8) for neuropathy with pressure sensation loss, 7·2% (5·6-9·4) for end-stage renal disease, 6·0% (4·2-8·6) for retinopathy with severe vision loss, and 2·6% (1·2-5·3) for congestive heart failure. A target of 80% diagnosis, 80% treatment, and 80% control would be expected to reduce DALYs lost from diabetes complications from a median population-weighted loss to 1097 DALYs per 1000 population over 10 years (IQR 1051-1155), relative to a baseline of 1161 DALYs, primarily from reduced cardiovascular events (down from a median of 143 to 117 DALYs per 1000 population) due to blood pressure and statin treatment, with comparatively little effect from glycaemic control. The target of 80% diagnosis, 80% treatment, and 80% control would be expected to produce an overall incremental cost-effectiveness ratio of US$1362 per DALY averted (IQR 1304-1409), with the majority of decreased costs from reduced cardiovascular event management, counterbalanced by increased costs for blood pressure and statin treatment, producing an overall incremental cost-effectiveness ratio of $1362 per DALY averted (IQR 1304-1409).

INTERPRETATION

Reducing complications from diabetes in LMICs is likely to require a focus on scaling up blood pressure and statin medication treatment initiation and blood pressure medication titration rather than focusing on increasing screening to increase diabetes diagnosis, or a glycaemic treatment and control among people with diabetes.

FUNDING

None.

When Scarcity Meets Disparity: "Resources Allocation and COVID-19 Patients with Diabetes"

The COVID-19 pandemic raised distinct challenges in the field of scarce resource allocation, a long-standing area of inquiry in the field of bioethics. Policymakers and states developed crisis guidelines for ventilator triage that incorporated such factors as immediate prognosis, long-term life expectancy, and current stage of life. Often these depend upon existing risk factors for severe illness, including diabetes. However, these algorithms generally failed to account for the underlying structural biases, including systematic racism and economic disparity, that rendered some patients more vulnerable to these conditions. This paper discusses this unique ethical challenge in resource allocation through the lens of care for patients with severe COVID-19 and diabetes.

Association of diabetes with frequency and cost of hospital admissions: a retrospective cohort study

BACKGROUND

Acute inpatient hospital admissions account for more than half of all health care costs related to diabetes. We sought to identify the most common and costly conditions leading to hospital admission among patients with diabetes compared with patients without diabetes.

METHODS

We used data from the General Internal Medicine Inpatient Initiative (GEMINI) study, a retrospective cohort study, of all patients admitted to a general internal medicine service at 7 Toronto hospitals between 2010 and 2015. The Canadian Institute for Health Information (CIHI) Most Responsible Diagnosis code was used to identify the 10 most frequent reasons for admission in patients with diabetes. Cost of hospital admission was estimated using the CIHI Resource Intensity Weight. Comparisons were made between patients with or without diabetes using the Pearson χ² test for frequency and distribution-free confidence intervals (CIs) for median cost.

RESULTS

Among the 150 499 hospital admissions in our study, 41 934 (27.8%) involved patients with diabetes. Compared with patients without diabetes, hospital admissions because of soft tissue and bone infections were most frequent (2.5% v. 1.9%; prevalence ratio [PR] 1.28, 95% CI 1.19-1.37) and costly (Can$8794 v. Can$5845; cost ratio [CR] 1.50, 95% CI 1.37-1.65) among patients with diabetes. This was followed by urinary tract infections (PR 1.16, 95% CI 1.11-1.22; CR 1.23, 95% CI 1.17-1.29), stroke (PR 1.13, 95% CI 1.07-1.19; CR 1.19, 95% CI 1.14-1.25) and electrolyte disorders (PR 1.11, 95% CI 1.03-1.20; CR 1.20, 95% CI 1.08-1.34).

INTERPRETATION

Soft tissue and bone infections, urinary tract infections, stroke and electrolyte disorders are associated with a greater frequency and cost of hospital admissions in patients with diabetes than in those without diabetes. Preventive strategies focused on reducing hospital admissions secondary to these disorders may be beneficial in patients with diabetes.

Association of diabetes type and chronic diabetes complications with early exit from the labour force: register-based study of people with diabetes in Finland

AIMS/HYPOTHESIS

Diabetes and diabetes complications are a cause of substantial morbidity, resulting in early exits from the labour force and lost productivity. The aim of this study was to examine differences in early exits between people with type 1 and 2 diabetes and to assess the role of chronic diabetes complications on early exit. We also estimated the economic burden of lost productivity due to early exits.

METHODS

People of working age (age 17-64) with diabetes in 1998-2011 in Finland were detected using national registers (N_{type 1} = 45,756, N_{type 2} = 299,931). For the open cohort, data on pensions and deaths, healthcare usage, medications and basic demographics were collected from the registers. The outcome of the study was early exit from the labour force defined as pension other than old age pension beginning before age 65, or death before age 65. We analysed the early exit outcome and its risk factors using the Kaplan-Meier method and extended Cox regression models. We fitted linear regression models to investigate the risk factors of lost working years and productivity costs among people with early exit.

RESULTS

The difference in median age at early exit from the labour force between type 1 (54.0) and type 2 (58.3) diabetes groups was 4.3 years. The risk of early exit among people with type 1 diabetes increased faster after age 40 compared with people with type 2 diabetes. Each of the diabetes complications was associated with an increase in the hazard of early exit regardless of diabetes type compared with people without the complication, with eye-related complications as an exception. Diabetes complications partly but not completely explained the difference between diabetes types. The mean lost working years was 6.0 years greater in the type 1 diabetes group than in the type 2 diabetes group among people with early exit. Mean productivity costs of people with type 1 diabetes and early exit were found to be 1.4-fold greater compared with people with type 2 diabetes. The total productivity costs of incidences of early exits in the type 2 diabetes group were notably higher compared with the type 1 group during the time period (€14,400 million, €2800 million).

CONCLUSIONS/INTERPRETATION

We found a marked difference in the patterns of risk of early exit between people with type 1 and type 2 diabetes. The difference was largest close to statutory retirement age. On average, exits in the type 1 diabetes group occurred at an earlier age and resulted in higher mean lost working years and mean productivity costs. The potential of prevention, timely diagnosis and management of diabetes is substantial in terms of avoiding reductions in individual well-being and productivity.

Health utility of type 2 diabetes patients using basal insulin in China: results from the BEYOND II study

OBJECTIVE

To derive the health utility scores of type 2 diabetes (T2D) patients using basal insulin (BI) with diverse characteristics in China.

METHODS

The study used the data of insulin-using T2D patients on BI treatment enrolled in the BEYOND II study, which is a multi-center, observational study from 78 hospitals nationwide. The 3-level EQ-5D (EQ-5D-3L) questionnaire was administered to each patient to derive their health utility scores using the EQ-5D-3L value set for China. Patients' clinical and sociodemographic information were retrieved from their electronic case report form (eCRF). Ordinary least-square models with different specifications were explored to identify the best-fitting model to predict the utility scores.

RESULTS

The sample (n = 12,583) achieved a mean (standard deviation) EQ-5D-3L utility score of 0.936 (0.120). According to the model, a Chinese male who was younger than 59 years, not underweight, diagnosed with T2D shorter than 10 years, with controlled plasma glucose and free of diabetes complications/comorbidities, would have a mean utility of 0.993. Being female, older age, underweight, and higher plasma glucose, longer diabetes duration was negatively related to EQ-5D-3L scores. Comorbidities and seven of eleven complications were associated with utility decrement. Interactions between some complications were also discovered.

CONCLUSIONS

The derived health utility scores for diabetes complications could facilitate the assessment of the cost-effectiveness of health interventions for Chinese insulin-using T2D patients.

Prevalence and medical expenditures of diabetes-related complications among adult Medicaid enrollees with diabetes in eight U.S. states

AIMS

To estimate the prevalence and medical expenditures of diabetes-related complications (DRCs) among adult Medicaid enrollees with diabetes.

METHODS

We estimated the prevalence and medical expenditures for 12 diabetes-related complications by Medicaid eligibility category (disability-based vs. non-disability-based) in eight states. We used generalized linear models with log link and gamma distribution to estimate the total per-person annual medical expenditures for DRCs, controlling for demographics, and other comorbidities.

RESULTS

Among non-disability-based enrollees (NDBEs), 40.1% (in California) to 47.5% (in Oklahoma) had one or more DRCs, compared to 53.6% (in Alabama) to 64.8% (in Florida) among disability-based enrollees (DBEs). The most prevalent complication was neuropathy (16.1%-27.1% for NDBEs; 20.2%-30.4% for DBEs). Lower extremity amputation (<1% for both eligibilities) was the least prevalent complication. The costliest per-person complication was dialysis (per-person excess annual expenditure of $22,481-$41,298 for NDBEs; $23,569-$51,470 for DBEs in 2012 USD). Combining prevalence and per-person excess expenditures, the three costliest complications were nephropathy, heart failure, and ischemic heart disease (IHD) for DBEs, compared to neuropathy, nephropathy, and IHD for NDBEs.

CONCLUSIONS

Our study provides data that can be used for assessing the health care resources needed for managing DRCs and evaluating cost-effectiveness of interventions to prevent and management DRCs.

Estimating costs of diabetes complications in people <65 years in the U.S. using panel data

AIMS

To estimate the cost of diabetes complications in the United States (U.S.).

METHODS

We constructed longitudinal panel data using one of the largest claims databases in the U.S. for privately insured Type 1 (T1DM) and type 2 (T2DM) diabetes patients with a follow-up time of one to ten years. Complication costs were estimated both in years of the first occurrence and in subsequent years, using individual fixed-effects models. All costs were in 2016 dollars.

RESULTS

47,166 people with T1DM and 608,237 with T2DM were included in our study. Aside from organ transplants, which were rare, the estimated average costs for the top three most costly conditions in the first vs. subsequent years were: end stage renal disease ($73,534 vs. $97,431 for T1DM; $94,231 vs. $98,981 for T2DM), congestive heart failure ($41,681 vs. $14,855 for T1DM; $31,202 vs. $7062 for T2DM), and myocardial infarction ($40,899 vs. $9496 for T1DM; $45,251 vs. $8572 for T2DM). For both diabetes types, retinopathy and neuropathy tend to have the lowest cost estimates.

CONCLUSIONS

Our study provides the latest and most comprehensive cost estimates for a broad set of diabetes complications needed to evaluate the long-term cost-effectiveness of interventions for preventing and managing diabetes.

Real-world cost-effectiveness of insulin degludec in type 1 and type 2 diabetes mellitus from a Swedish 1-year and long-term perspective

BACKGROUND AND AIMS

The ReFLeCT study demonstrated that switching to insulin degludec from other basal insulins was associated with reductions in glycated hemoglobin and hypoglycemic events in type 1 (T1D) and type 2 diabetes (T2D), and reductions in insulin doses in T1D. The aim of the present analysis was to assess the short- and long-term cost-effectiveness of switching to insulin degludec in Sweden.

METHODS

Short-term outcomes were evaluated over 1 year in a Microsoft Excel model, while long-term outcomes were projected over patient lifetimes using the IQVIA CORE Diabetes Model. Cohort characteristics and treatment effects were sourced from the ReFLeCT study. Costs (in 2018 Swedish krona [SEK]) encompassed direct medical expenditure and indirect costs from loss of workplace productivity. In the long-term analyses, patients were assumed to receive insulin degludec or continue prior insulin therapy (primarily insulin glargine U100) for 5 years, before all patients intensified to once-daily degludec and mealtime aspart.

RESULTS

Switching to insulin degludec was associated with improved quality-adjusted life expectancy of 0.04 and 0.02 quality-adjusted life years (QALYs) over 1 year, and 0.16 and 0.08 QALYs over patient lifetimes, in T1D and T2D. Combined costs in T1D and T2D were estimated to be SEK 1,249 lower and SEK 1,181 higher over the short-term, and SEK 157,258 and SEK 2,114 lower over the long-term. Benefits were due to lower insulin doses in T1D, reduced rates of hypoglycemia, and lower incidences of diabetes-related complications. Insulin degludec was associated with an incremental cost-effectiveness ratio of SEK 64,298 per QALY gained for T2D over 1 year and considered dominant for T1D and T2D in all other comparisons.

CONCLUSIONS

Insulin degludec was projected to be cost-effective or dominant versus other basal insulins for the treatment of T1D and T2D in Sweden.

Assessment of excess medical costs for persons with type 2 diabetes according to age groups: an analysis of German health insurance claims data

AIM

This cross-sectional study used a large nationwide claims data set to assess the excess medical costs of people with type 2 diabetes according to age group in 2015.

METHODS

Data from 291 709 people with diabetes and 291 709 age- and sex-matched controls were analysed. Total costs (expressed as 2015 euros) of outpatient and inpatient services, medication, rehabilitation, and the provision of aids and appliances were examined. Overall and age-stratified excess costs of people with diabetes were estimated using gamma regression with a log-link.

RESULTS

Overall, the estimated total direct costs of a person with type 2 diabetes are approximately double those of a person without diabetes: €4727 vs. €2196, respectively. Absolute excess costs were approximately the same in all age groups (around €2500), however, relative excess costs of persons with diabetes were much higher in younger (~ 334% for < 50 years) than in older age groups (~ 156% for ≥ 80 years). Regional costs, both absolute and excess, partly differed from the national level.

CONCLUSIONS

This study complements and updates previous studies on the excess medical costs of people with diabetes in Germany. The results indicate the importance of preventing the development of type 2 diabetes, especially in younger age groups. Longitudinal and regional studies examining changes in prevalence and the development of excess costs in groups with different types of diabetes, and according to age, would be of interest to validate our findings and better understand the avoidable burden of having diabetes.

Not there yet: using data-driven methods to predict who becomes costly among low-cost patients with type 2 diabetes

BACKGROUND

Diabetes is a leading cause of Medicare spending; predicting which individuals are likely to be costly is essential for targeting interventions. Current approaches generally focus on composite measures, short time-horizons, or patients who are already high utilizers, whose costs may be harder to modify. Thus, we used data-driven methods to classify unique clusters in Medicare claims who were initially low utilizers by their diabetes spending patterns in subsequent years and used machine learning to predict these patterns.

METHODS

We identified beneficiaries with type 2 diabetes whose spending was in the bottom 90% of diabetes care spending in a one-year baseline period in Medicare fee-for-service data. We used group-based trajectory modeling to classify unique clusters of patients by diabetes-related spending patterns over a two-year follow-up. Prediction models were estimated with generalized boosted regression, a machine learning method, using sets of all baseline predictors, diabetes predictors, and predictors that are potentially-modifiable through interventions. Each model was evaluated through C-statistics and 5-fold cross-validation.

RESULTS

Among 33,789 beneficiaries (baseline median diabetes spending: $4153), we identified 5 distinct spending patterns that could largely be predicted; of these, 68.1% of patients had consistent spending, 25.3% had spending that rose quickly, and 6.6% of patients had spending that rose progressively. The ability to predict these groups was moderate (validated C-statistics: 0.63 to 0.87). The most influential factors for those with progressively rising spending were age, generosity of coverage, prior spending, and medication adherence.

CONCLUSIONS

Patients with type 2 diabetes who were initially low spenders exhibit distinct subsequent long-term patterns of diabetes spending; membership in these patterns can be largely predicted with data-driven methods. These findings as well as applications of the overall approach could potentially inform the design and timing of diabetes or cost-containment interventions, such as medication adherence or interventions that enhance access to care, among patients with type 2 diabetes.

A Systematic Review of the Economic Burden of Type 2 Diabetes in Malaysia

Diabetes causes significant disabilities, reduced quality of life and mortality that imposes huge economic burden on societies and governments worldwide. Malaysia suffers a high diabetes burden in Asia, but the magnitude of healthcare expenditures documented to aid national health policy decision-making is limited. This systematic review aimed to document the economic burden of diabetes in Malaysia, and identify the factors associated with cost burden and the methods used to evaluate costs. Studies conducted between 2000 and 2019 were retrieved using three international databases (PubMed, Scopus, EMBASE) and one local database (MyCite), as well as manual searches. Peer reviewed research articles in English and Malay on economic evaluations of adult type 2 diabetes conducted in Malaysia were included. The review was registered with PROSPERO (CRD42020151857), reported according to PRISMA and used a quality checklist adapted for cost of illness studies. Data were extracted using a data extraction sheet that included study characteristics, total costs, different costing methods and a scoring system to assess the quality of studies reviewed. The review identified twelve eligible studies that conducted cost evaluations of type 2 diabetes in Malaysia. Variation exists in the costs and methods used in these studies. For direct costs, four studies evaluated costs related to complications and drugs, and two studies were related to outpatient and inpatient costs each. Indirect and intangible costs were estimated in one study. Four studies estimated capital and recurrent costs. The estimated total annual cost of diabetes in Malaysia was approximately USD 600 million. Age, type of hospitals or health provider, length of inpatient stay and frequency of outpatient visits were significantly associated with costs. The most frequent epidemiological approach employed was prevalence-based (n = 10), while cost analysis was the most common costing approach used. The current review offers the first documented evidence on cost estimates of diabetes in Malaysia.

Health Care Costs Associated With Macrovascular, Microvascular, and Metabolic Complications of Type 2 Diabetes Across Time: Estimates From a Population-Based Cohort of More Than 0.8 Million Individuals With Up to 15 Years of Follow-up

OBJECTIVE

Developing country-specific unit-cost catalogs is a key area for advancing economic research to improve medical and policy decisions. However, little is known about how health care costs vary by type 2 diabetes (T2D) complications across time in Asian countries. We sought to quantify the economic burden of various T2D complications in Taiwan.

RESEARCH DESIGN AND METHODS

A nationwide, population-based, longitudinal study was conducted to analyze 802,429 adults with newly diagnosed T2D identified during 1999-2010 and followed up until death or 31 December 2013. Annual health care costs associated with T2D complications were estimated, with multivariable generalized estimating equation models adjusted for individual characteristics.

RESULTS

The mean annual health care cost was $281 and $298 (2017 U.S. dollars) for a male and female, respectively, diagnosed with T2D at age <50 years, with diabetes duration of <5 years, and without comorbidities, antidiabetic treatments, and complications. Depression was the costliest comorbidity, increasing costs by 64-82%. Antidiabetic treatments increased costs by 72-126%. For nonfatal complications, costs increased from 36% (retinopathy) to 202% (stroke) in the event year and from 13% (retinopathy or neuropathy) to 49% (heart failure) in subsequent years. Costs for the five leading costly nonfatal subtype complications increased by 201-599% (end-stage renal disease with dialysis), 37-376% (hemorrhagic/ischemic stroke), and 13-279% (upper-/lower-extremity amputation). For fatal complications, costs increased by 1,784-2,001% and 1,285-1,584% for cardiovascular and other-cause deaths, respectively.

CONCLUSIONS

The cost estimates from this study are crucial for parameterizing diabetes economic simulation models to quantify the economic impact of clinical outcomes and determine cost-effective interventions.

Health-related quality of life and health utilities in insulin-treated type 2 diabetes: the impact of related comorbidities/complications

OBJECTIVE

To evaluate the impact of multiple comorbidities/complications on health-related quality of life (HRQoL) and health utilities in insulin-treated type 2 diabetes (T2DM).

METHODS

In a non-interventional, epidemiological study, data were collected from medical records and via interviews for 938 subjects from various geographical areas of Greece. HRQoL and health utilities were explored with the EQ-5D-5L. Univariate associations were evaluated with the Mann-Whitney and Kruskal-Wallis tests for continuous and Chi-squared tests for nominal variables, and binary logistic regressions were employed to obtain marginal effects. Employing a split sample approach, various specifications of ordinary least squares regression models were evaluated in terms of goodness of fit, model specification, shrinkage and predictive and discriminative performance, to select the best model for mapping health utilities using the whole dataset.

RESULTS

Overall, the most important factors of impaired HRQoL and health utilities were higher age, female gender, obesity, poor glycemic control and increased duration of insulin treatment. History and increasing concurrence of all complications assessed were associated with exacerbated HRQoL problems, decreased health utilities and diminished health state, although it was not always statistically significant. The highest disutilities were associated with stroke (- 0.082), diabetic retinopathy (- 0.066), diabetic neuropathy (- 0.051) and severe hypoglycemia (- 0.050).

CONCLUSIONS

The deleterious impact of comorbidities on insulin-dependent T2DM subjects' HRQoL has been confirmed and clinicians should adapt the priorities of disease management accordingly. The derived health utility estimates may be valuable for conducting economic evaluations of interventions in the area of T2DM when data are not available.

Assessing the cost-effectiveness of a once-weekly GLP-1 analogue versus an SGLT-2 inhibitor in the Spanish setting: Once-weekly semaglutide versus empagliflozin

Aims: Controlling costs while maximizing healthcare gains is the predominant challenge for healthcare providers, and therefore cost-effectiveness analysis is playing an ever-increasing role in healthcare decision making. The aim of the present analysis was to assess the long-term cost-effectiveness of subcutaneous once-weekly semaglutide (0.5 mg and 1 mg) versus empagliflozin (10 mg and 25 mg) in the Spanish setting for the treatment of patients with type 2 diabetes (T2D) with inadequate glycemic control on oral anti-hyperglycemic medications.Material and methods: The IQVIA CORE Diabetes Model was used to project outcomes over patient lifetimes with once-weekly semaglutide versus empagliflozin, with treatment effects based on a network meta-analysis. The analysis captured treatment costs, costs of diabetes-related complications, and the impact of complications on quality of life, based on published sources. Outcomes were discounted at 3.0% per annum.Results: Once-weekly semaglutide 0.5 mg and 1 mg were associated with improvements in discounted quality-adjusted life expectancy of 0.12 and 0.15 quality-adjusted life years (QALYs), respectively, versus empagliflozin 10 mg and improvements of 0.11 and 0.14 QALYs, respectively, versus empagliflozin 25 mg. Treatment costs were higher with once-weekly semaglutide compared with empagliflozin, but this was partially offset by cost savings due to avoidance of diabetes-related complications. Once-weekly semaglutide 0.5 mg and 1 mg were associated with incremental cost-effectiveness ratios of EUR 2,285 and EUR 161 per QALY gained, respectively, versus empagliflozin 10 mg, and EUR 3,090 and EUR 625 per QALY gained, respectively, versus empagliflozin 25 mg.Conclusions: Based on a willingness-to-pay threshold of EUR 30,000 per QALY gained, once-weekly semaglutide 0.5 mg and 1 mg were projected to be cost-effective versus empagliflozin 10 mg and 25 mg for the treatment of patients with T2D with inadequate glycemic control on oral anti-hyperglycemic medications in the Spanish setting, irrespective of patients' BMI at baseline.

Diabetes in the UK: 2019

AIM

Diabetes impairs the quality of life of people living with the condition and is a major public health concern. The aim of this paper is to create a state of the nation report of diabetes in the UK.

METHODS

Diabetes UK collates information about diabetes from diverse sources. This paper synthesizes these data to create a national report.

RESULTS

Some 7% of the UK population are now living with diabetes; approximately one million people have undiagnosed type 2 diabetes, 40 000 children have diabetes and more than 3000 children are diagnosed every year. Forty-nine per cent of people with type 1 diabetes were offered structured education, but only 7.6% attended; the corresponding figures for type 2 diabetes were 90% and 10.4%, respectively. Among people with diabetes, 28% reported having issues obtaining medication or equipment for self-management. Fifty-seven per cent of people with type 1 diabetes and 42% with type 2 diabetes do not receive all eight annual health checks. Around 40% of people with diabetes have diminished psychological well-being. One-third of people have a microvascular complication at the time of diagnosis of type 2 diabetes. Diabetes is responsible for 530 myocardial infarctions and 175 amputations every week. The National Health Service spends at least £10 billion a year on diabetes, equivalent to 10% of its budget; 80% is spent treating complications. One in six hospital inpatients has diabetes.

CONCLUSION

Diabetes continues to place a significant burden on the individual with diabetes and wider UK society. This report will be updated annually to understand how diabetes is changing across the UK.

Comparison of Comorbidity Treatment and Costs Associated With Bariatric Surgery Among Adults With Obesity in Canada

IMPORTANCE

Information on the associations between barriers to delivery of bariatric surgery and poor weight trajectory afterward is lacking. Estimates are needed to inform decisions by administrators and clinicians to improve care.

OBJECTIVE

To estimate the difference in patient-years of treatment for diabetes, hypertension, and dyslipidemia and public-payer cost between the Canadian standard and an improved bariatric surgery care pathway.

DESIGN, SETTING, AND PARTICIPANTS

Economic evaluation of a decision analytic model comparing the outcomes of the standard care in Canada with an improved bariatric care pathway with earlier sleeve gastrectomy delivery and better postsurgical weight trajectory. The model was informed by published clinical data (101 studies) and meta-analyses (11 studies) between January and May 2019. Participants were a hypothetical 100-patient cohort with demographic characteristics derived from a Canadian study.

INTERVENTIONS

Reduction of Canadian mean bariatric surgery wait time by 2.5 years following referral and improvement of patient postsurgery weight trajectory to levels observed in other countries.

MAIN OUTCOMES AND MEASURES

Modeling weight trajectory after sleeve gastrectomy and resolution rates for comorbidities in Canada in comparison with an improved care pathway to estimate differences in patient-years of comorbidity treatment over 10 years following referral and the associated costs.

RESULTS

For the 100-patient cohort (mean [SD] 88.2% [1.4%] female; mean [SD] age, 43.6 [9.2] years; mean [SD] body mass index, 49.4 [8.2]; and mean [SD] comorbidity prevalence of 50.0% [4.1%], 66.0% [3.9%], and 59.3% [4.0%] for diabetes, hypertension, and dyslipidemia, respectively) over 10 years following referral, the improved vs standard care pathway was associated with median reduction in patient-years of treatment of 324 (95% credibility interval [CrI], 249-396) for diabetes, 245 (95% CrI, 163-356) for hypertension, and 255 (95% CrI, 169-352) for dyslipidemia, corresponding to total savings of $900 000 (95% CrI, $630 000 to $1.2 million) for public payers in the base case. Relative to standard of care, the associated reduction in costs was approximately 29% (95% CrI, 20%-42%) in the improved pathway. Sensitivity analyses demonstrated independent associations of earlier surgical delivery and various levels of postsurgical weight trajectory improvements with overall savings.

CONCLUSIONS AND RELEVANCE

This study suggests that health care burden may be decreased through improvements to delivery and management of patients undergoing sleeve gastrectomy. More data are needed on long-term patient experience with bariatric surgery in Canada to inform better estimates.

Evaluating the burden of poor glycemic control associated with therapeutic inertia in patients with type 2 diabetes in the UK

Background and aims: Effective glycemic control is the cornerstone of successful type 2 diabetes management. However, many patients fail to reach glycemic control targets, and therapeutic inertia (failure to intensify therapy to address poor glycemic control in a timely manner) has been widely reported. The aim of the present study was to evaluate the economic burden associated with diabetes-related complications due to poor glycemic control for patients with type 2 diabetes in the UK.Methods: A validated long-term model of type 2 diabetes (IQVIA CORE Diabetes Model) was used to project cost outcomes for a UK population with type 2 diabetes, based on data from The Health Improvement Network primary care database, at different levels of glycemic control. Costs associated with diabetes-related complications were accounted in 2017 Pounds Sterling (GBP). Complication costs were estimated for populations achieving different glycated hemoglobin (HbA1c) targets, in a number of delayed treatment intensification scenarios, and across a range of time horizons.Results: For patients with an HbA1c level of 8.2% (66 mmol/mol), 7 years in poor control could increase mean costs associated with diabetes-related complications by over GBP 690 per patient and lead to costs of over GBP 1,500 in lost workplace productivity compared with achieving good glycemic control (HbA1c 7.0%, 53 mmol/mol) over a 10-year time horizon. Based on published estimates of the proportion of type 2 diabetes patients failing to meet glycemic targets in the UK, this corresponds to an additional economic burden of ∼GBP 2,600 million (complication costs plus lost productivity costs).Conclusions: The economic burden of poor glycemic control in type 2 diabetes in the UK is substantial. Efforts to avoid therapeutic inertia could substantially reduce diabetes-related complication costs even in the short-term.

CKD quality improvement intervention with PCMH integration: health plan results

OBJECTIVES

To execute a chronic kidney disease (CKD) intervention to assess feasibility and preliminary outcomes for a health plan.

STUDY DESIGN

This CKD quality improvement study was incorporated into an existing CareFirst primary care patient-centered medical home cohort with a pre- and postintervention assessment from July 1, 2015, to June 30, 2017.

METHODS

The study targeted the population at risk for CKD with diabetes and/or hypertension by implementing a care plan according to the stratification by estimated glomerular filtration rate (eGFR) and urinary albumin-creatinine ratio (uACR) or CKD heat map class.

RESULTS

The population included 7420 individuals (51.8% female) with a mean age of 55.9 years; 19.1% had diabetes only, 42.2% had hypertension only, and 38.2% had both conditions. Overall, there was no change in eGFR testing among risk groups (84.8%), but a small significant increase in uACR testing occurred (from 31.3% to 33.0%; P = .0020). Reductions in admissions per 1000 patients were from 362.5 to 249.0 for class 3, 311.7 to 219.2 for class 4, and 590.9 to 323.5 for class 5. Lastly, there were reductions in 30-day readmissions per 1000 patients, from 51.9 to 13.7 for class 4 and 45.5 to 0 for class 5. Although there were increases in many of the per-member per-month costs assessed pre- versus post intervention, net savings in medical costs were $276.80 and $480.79 for CKD classes 3 and 5, respectively.

CONCLUSIONS

This scalable CKD intervention demonstrated feasibility. For advanced CKD, decreased hospitalization and a reduction in several important costs were observed. These preliminary results support the stratification of laboratory data for CKD population health innovation in commercial health plans.

A modelling study of the budget impact of improved glycaemic control in adults with Type 1 diabetes in the UK

AIMS

To develop a novel interactive budget impact model that assesses affordability of diabetes treatments in specific populations, and to test the model in a hypothetical scenario by estimating cost savings resulting from reduction in HbA_1c from ≥69 mmol/mol (8.5%) to a target of 53 mmol/mol (7.0%) in adults with Type 1 diabetes in the UK.

METHODS

A dynamic, interactive model was created using the projected incidence and progression over a 5-year horizon of diabetes-related complications (micro- and macrovascular disease, severe hypoglycaemia and diabetic ketoacidosis) for different HbA_1c levels, with flexible input of population size, complications and therapy costs, HbA_1c distribution and other variables. The model took a National Health Service and societal perspective.

RESULTS

The model was developed, and in the proposed hypothetical situation, reductions in complications and expected costs evaluated. Achievement of target HbA_1c in individuals with HbA_1c ≥69 mmol/mol (8.5%) would reduce expected chronic complications from 6.8 to 1.2 events per 100 person-years, and diabetic ketoacidosis from 14.5 to 1.0 events per 100 person-years. Potential cumulative direct cost savings achievable in the modelled population were estimated at £687 m over 5 years (£5,585/person), with total (direct and indirect) savings of £1,034 m (£8,400/person).

CONCLUSIONS

Implementation of strategies aimed at achieving target glucose levels in people with Type 1 diabetes in the UK has the potential to drive a significant reduction in complication costs. This estimate may provide insights into the potential for investment in achieving savings through improved diabetes care in the UK.

Estimating Quality of Life Decrements Due to Diabetes Complications in the United States: The Health Utility Index (HUI) Diabetes Complication Equation

OBJECTIVE

Health utility decrements associated with diabetes mellitus complications are essential for calculating quality-adjusted life-years (QALYs) in patients for use in economic evaluation of diabetes interventions. Previous studies mostly focused on assessing the impact of complications on health utility at event year based on cross-sectional data. This study aimed to separately estimate health utility decrements associated with current and previous diabetes complications.

RESEARCH DESIGN AND METHODS

The Health Utilities Index Mark 3 (HUI-3) was used to measure heath utility in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial (N = 8713). Five macrovascular complications (myocardial infarction [MI], congestive heart failure [CHF], stroke, angina, and revascularization surgery [RS]) and three microvascular complications (nephropathy [renal failure], retinopathy [severe vision loss], and neuropathy [severe pressure sensation loss]) were included in a set of alternative modelling approaches including the ordinary least squares (OLS) model, fixed effects model, and random effects model to estimate the complication-related health utility decrements.

RESULTS

All macrovascular complications were associated with decrements of HUI-3 scores: MI (event year: - 0.042, successive years: - 0.011), CHF (event year: - 0.089, successive years: - 0.041), stroke (event year: - 0.204, successive years: - 0.101), angina (event year: - 0.010, successive years: - 0.032), and revascularization (event year: - 0.038, successive years: - 0.016) (all p < 0.05). For microvascular complications, severe vision loss (- 0.057), and severe pressure sensation loss (- 0.066) were significantly associated with decrements of HUI-3 scores (both p < 0.05). Hypoglycemia (both severe and symptomatic) was found to be associated with a 0.036 decrement of health utility at event year, and a 0.033 decrement of health utility at successive years. Results from an OLS model are preferred for supporting a microsimulation model while a fixed effects model is preferred to describe direct health impacts from complications.

CONCLUSIONS

Macrovascular and microvascular complications caused QALY decrements in patients with type 2 diabetes. While only part of the total impaired QALY is experienced during the event year, further QALY decrements for successive years were quite substantial.

Cost-effectiveness of intensification with sodium-glucose co-transporter-2 inhibitors in patients with type 2 diabetes on metformin and sitagliptin vs direct intensification with insulin in the United Kingdom

AIM

To evaluate the long-term cost-effectiveness of an intensification strategy with sodium-glucose co-transporter-2 (SGLT2) inhibitors (pathway 1) compared with NPH insulin (pathway 2) in patients with type 2 diabetes (T2D) in the United Kingdom who were not at goal on metformin and sitagliptin.

METHODS

Cost-effectiveness analysis was performed using the well-established, validated IQVIA CORE Diabetes Model from the payer perspective over a patient's lifetime. Randomized clinical trials informed treatment effect measures, while public or published sources informed economic inputs. Scenario analyses of glycated haemoglobin (HbA1c), hypoglycaemia rate, body mass index effects, SGLT2 inhibitor cardiovascular protective effects, and population characteristics were conducted to assess the robustness of results.

RESULTS

Pathway 1 increased life-years and quality-adjusted life-years (QALYs) compared with pathway 2 (13.49 vs. 13.37, and 9.40 vs. 9.22, respectively). Additional drug costs in pathway 1 were offset by diabetes-related complication decreases, leading to slightly lower direct medical costs for pathway 1 (£25747 vs £26095). Pathway 1 was therefore cost-neutral (no interpretable incremental cost-effectiveness ratio), while improving clinical outcomes. Scenario analyses consistently showed cost-neutrality or cost-effectiveness of pathway 1. The highest result remained less than £3000/QALY, reflecting older patients (≥65 years) with lower baseline HbA1c (7%).

CONCLUSIONS

For UK patients with T2D not at goal on metformin and sitagliptin therapy, treatment intensification with SGLT2 inhibitors prior to NPH insulin is cost-neutral or cost-effective compared with immediate NPH insulin intensification.

Cost-effectiveness analysis of dapagliflozin treatment versus metformin treatment in Chinese population with type 2 diabetes

BACKGROUND AND OBJECTIVE

Dapagliflozin is the first SGLT2 inhibitor available in China, where the disease burden of diabetes and its complications is very heavy. Because a new diabetes treatment strategy for diabetes should consider its cost-effectiveness, compared with an existing treatment, this study aimed to examine the cost-effectiveness between dapagliflozin and metformin treatment in China.

METHODS

The Cardiff Diabetes Model (CDM) was used to estimate cost effectiveness and macro- and micro-vascular outcomes of dapagliflozin vs metformin. The CDM effectiveness inputs were derived from indirect comparative efficacy data from meta-analysis of 71 studies comparing monotherapy and add-on therapy of dapagliflozin vs metformin: dapagliflozin or metformin monotherapy, add-on therapy with other oral hypoglycemic agents, and add-on therapy with insulin. Direct medication costs and medical costs on treating diabetes were calculated based on published and local sources. A discount rate of 3% was applied to both costs and health effects. Univariate and probabilistic sensitivity analyses (PSA) were performed to assess uncertainties.

RESULTS

The total healthcare costs accumulated over the lifetime on dapagliflozin treatment arm was 8,626 Chinese yuan higher than the metformin treatment arm for an individual patient, and the quality adjusted life years (QALYs) gained with dapagliflozin treatment was 0.8 more than metformin treatment. Therefore, an incremental cost-effectiveness ratio was 10,729 yuan per QALY gained for dapagliflozin treatment arm vs metformin treatment arm. The cost-effectiveness results were robust to various sensitivity analyses.

CONCLUSION

Dapagliflozin treatment was more cost-effective compared with metformin treatment for Chinese type 2 diabetes patients. However, the findings of favorable cost-effectiveness results for dapagliflozin are largely driven by the effects of favorable weight profile on clinical, utility, and costs in the Cardiff model.

Complications of diabetes in China: health system and economic implications

BACKGROUND

The prevalence of diabetes and diabetic complications increased alarmingly which also brought heavy burden to patients and health system.

METHODS

We used mix approaches to summarize evidence from published articles and policy documents on the extent and trends of diabetic complications, potential causes, and awareness and services utilization of diabetes in China.

RESULTS

The annual direct medical expense per patient varied among different types of complications and increased dramatically with the number of diabetic complication and patients were exposed to great financial risk. The number of health policies and strategies on diabetes and its complications at the national level is limited. Primary and secondary preventions such as health education and early diagnosis are necessary.

CONCLUSIONS

With an increasingly burden of non-communicable diseases such as diabetes and its complications, efforts should be invested in education, early screening mechanism and patient management programs to improve the primary and secondary prevention of diabetes and its complications. An integrated services delivery system centered on primary level is recommended to promote education, early case-detection and screening, patient management, referral and care-coordination between primary, secondary and tertiary health care providers.

Evaluation of the long-term cost-effectiveness of once-weekly semaglutide versus dulaglutide for treatment of type 2 diabetes mellitus in the UK

AIMS

Glucagon-like peptide-1 (GLP-1) receptor agonists are appealing as glucose-lowering therapy for individuals with type 2 diabetes mellitus (T2DM) as they also reduce body weight and are associated with low rates of hypoglycaemia. This analysis assessed the long-term cost-effectiveness of semaglutide 0.5 and 1 mg vs dulaglutide 1.5 mg (two once-weekly GLP-1 receptor agonists) from a UK healthcare payer perspective, based on the head-to-head SUSTAIN 7 trial, to inform healthcare decision making.

MATERIALS AND METHODS

Long-term outcomes were projected using the IQVIA CORE Diabetes Model (version 9.0). Baseline cohort characteristics, changes in physiological parameters and adverse event rates were derived from the 40-week SUSTAIN 7 trial. Costs to a healthcare payer were assessed, and these captured pharmacy costs and costs of complications. Utilities were taken from published sources.

RESULTS

Once-weekly semaglutide 0.5 and 1 mg were associated with improvements in quality-adjusted life expectancy of 0.04 and 0.10 quality-adjusted life years, respectively, compared with dulaglutide 1.5 mg. Clinical benefits were achieved at reduced costs, with lifetime cost savings of GBP 35 with once-weekly semaglutide 0.5 mg and GBP 106 with the once-weekly semaglutide 1 mg, resulting from fewer diabetes-related complications due to better glycaemic control. Therefore, both doses of once-weekly semaglutide were considered dominant vs dulaglutide 1.5 mg (improving outcomes and reducing costs).

CONCLUSIONS

Compared with treatment with dulaglutide, once-weekly semaglutide represents a cost-effective option for treating individuals in the UK with T2DM who are not achieving glycaemic control with metformin, projected to both improve clinical outcomes and reduce costs.

Evaluation of health utility values for diabetic complications, treatment regimens, glycemic control and other subjective symptoms in diabetic patients using the EQ-5D-5L

AIMS

This study aimed to reveal health utility values for diabetic complications and treatment regimens with adjustment for glycemic control and other clinical manifestations in a diabetic population.

METHODS

The EuroQol 5-Dimension 5-Level (EQ-5D-5L) health utility values for 4963 Japanese diabetic patients were analyzed using a multivariate regression model including major complications and treatment regiments (minimally adjusted model), and that additionally included glycemic control and other subjective symptoms (musculoskeletal, dental, respiratory, gastrointestinal, urinary, and cutaneous symptoms, and hearing impairment) (further adjusted model).

RESULTS

The mean utility value was 0.901 ± 0.137. In the minimally adjusted model, blindness, overt nephropathy, regular dialysis, cardiac symptom, sequelae of stroke, symptomatic peripheral neuropathy, decreased sensation, claudication, foot ulcer/gangrene, major amputation, and complex treatment regimens were significantly associated with lower utility values, whereas proliferative retinopathy without blindness, coronary artery disease without cardiac symptom, sequela-free cerebrovascular disease, asymptomatic peripheral artery disease, and minor amputation were not. Major complications and treatment regimens that showed significant association in the minimally adjusted model still presented significant impact on the utility decrement in the further adjusted model. However, most of their regression coefficients were lower in absolute value compared to those in the minimally adjusted model.

CONCLUSIONS

The utility decrement related to each diabetic complication varied with its severity and accompanying symptoms. Complex treatment regimens were independently associated with lower utility values. The utility decrement associated with diabetic complication and complex treatment regimens would be overestimated in the analysis without adjustment for glycemic control or other subjective symptoms.

Direct medical cost of diabetes in rural China using electronic insurance claims data and diabetes management data

AIMS/INTRODUCTION

To evaluate the annual direct medical cost attributable to type 2 diabetes mellitus according to socioeconomic factors, medical conditions and complications categories.

MATERIALS AND METHODS

We created uniquely detailed data from merging datasets of the local diabetes management system and the social security system in Tongxiang, China. We calculated the type 2 diabetes mellitus-related total cost and out-of-pocket cost for inpatient admissions and outpatient visits, and compared the cost for patients with or without complications by different healthcare items.

RESULTS

A total of 16,675 patients were eligible for analysis. The type 2 diabetes mellitus-related cost accounted for 40.6% of the overall cost. The cost per patient was estimated to be a median of 1,067 Chinese Yuan, 7,114 Chinese Yuan and 969 Chinese Yuan for inpatient and outpatient cost, respectively. The median total cost for hospital-based care was 3.69-fold higher than that for primary care. The median cost of patients with complications was 3.46-fold higher than that of those without complications. The median cost for a patient with only macrovascular, only microvascular or both macrovascular and microvascular complications were 3.13-, 3.79- and 10.95-fold higher than that of patients without complications. Pharmaceutical expenditure accounted for 51.8 and 79.7% of the total cost for patients with or without complications, respectively.

CONCLUSIONS

Although the type 2 diabetes mellitus-related cost per patient was relatively low, it accounted for a great proportion of the overall cost. Complications obviously aggravated the economic burden of type 2 diabetes mellitus. Proper management and the prevention of diabetes and its complications are urgently required to curtail the economic burden.

Direct medical costs for patients with type 2 diabetes in 16 tertiary hospitals in urban China: A multicenter prospective cohort study

AIMS/INTRODUCTION

To investigate the direct medical costs for patients with type 2 diabetes in China and to examine the influencing factors.

MATERIALS AND METHODS

In the present multicenter study, 1,070 patients with type 2 diabetes from 16 tertiary hospitals in 14 major cities of China were enrolled. Patient data and direct medical costs were collected during a follow-up period of 6 months at intervals of 1 month. The log-transformed direct medical costs were fitted by a generalized estimation equation to indicator variables for demographics, metabolic control, treatments, complications and comorbidities.

RESULTS

Data of 871 participants were included in the analysis. The mean annual total direct medical costs and outpatient medical costs were $1,990.20 and $1,687.20 respectively. The average costs per inpatient per admission were $2,127.10. The share of out-of-pocket for total medical costs, outpatient costs and cost per inpatient per admission were 45.4, 46.3 and 26.0% respectively. Independent determinants of total medical costs were diabetes duration, dyslipidemia and diabetic complications, such as neuropathy and nephropathy, as well as diabetes treatment, such as the use of glucagon-like peptide-1 receptor agonists. Costs showed prominent variation across centers.

CONCLUSIONS

Diabetes is imposing a growing economic burden in patients with type 2 diabetes in China. Diabetes-related complications and comorbidities have a great impact on the medical costs. As different health policies, economic development and regional health inequalities also have an important influence on the direct medical cost, healthcare reform needs to optimize resource allocation in health service delivery systems, and provide more equitable and affordable healthcare.

Cost-Effectiveness Analysis of the MiniMed 670G Hybrid Closed-Loop System Versus Continuous Subcutaneous Insulin Infusion for Treatment of Type 1 Diabetes

BACKGROUND

Hybrid closed-loop (HCL) systems combine continuous glucose monitoring with continuous subcutaneous insulin infusion (CSII) to continuously self-adjust basal insulin delivery. Relative to CSII, HCL improves glycemic control and reduces the risk of hypoglycemia but has higher acquisition costs. The aim of this analysis was to assess the cost-effectiveness of the MiniMed™ 670G HCL system versus CSII in people with type 1 diabetes (T1D) in Sweden.

METHODS

Cost-effectiveness analysis, from a societal perspective, was performed over patient lifetimes using the IQVIA CORE Diabetes Model. Clinical data were sourced from a study comparing the MiniMed 670G system with CSII in people with T1D. Cost data, expressed in 2018 Swedish krona (SEK), were obtained from Swedish reference prices and published literature.

RESULTS

The MiniMed 670G system was associated with a quality-adjusted life-year (QALY) gain of 1.90 but higher overall costs versus CSII, leading to an incremental cost-effectiveness ratio (ICER) of SEK 164,236 per QALY gained. Use of the HCL system resulted in a lower cumulative incidence of diabetes-related complications. Higher HCL system acquisition costs were partially offset by reduced complication costs and productivity losses. In people with T1D poorly controlled at baseline, the MiniMed 670G system was associated with 2.25 incremental QALYs versus CSII, yielding an ICER of SEK 15,830 per QALY gained.

CONCLUSIONS

The MiniMed 670G system was associated with clinical benefits and quality-of-life improvements in people with T1D relative to CSII. At a willingness-to-pay threshold of SEK 300,000 per QALY gained, this HCL system likely represents a cost-effective treatment option for people with T1D in Sweden.

Economic Impact of Diabetes in Africa

PURPOSE OF REVIEW

This review seeks to address knowledge gaps around the economic burden of diabetes in Africa. Africa is home to numerous endemic infections and also prevalent non-communicable diseases including diabetes. It is projected that the greatest increases in diabetes prevalence will occur in Africa. The importance of this review therefore lies in providing adequate knowledge on the economic challenges that diabetes poses to the continent and describe the way forward in tackling this epidemic.

RECENT FINDINGS

Diabetes contributes to a huge amount of the global health expenditure in the world. There is a dearth of information on the economic burden of diabetes in Africa with very limited number of studies in the area. Predictions do show that Africa has the greatest predicted increase in both the burden of diabetes and associated diabetic complications but yet contributes the lowest in the global annual healthcare expenses with regard to diabetes care. In 2017, the International Diabetes Federation (IDF) estimated the total health expenditure due to diabetes at $3.3 billion. In Nigeria, the national annual direct costs of diabetes was estimated in the range of $1.071 billion to $1.639 billion per year while the estimated monthly direct medical costs per individual in Cameroon stands at $148. In Sudan, the direct cost of type 2 diabetes control was $175 per year which only included the cost of medications and ambulatory care. People with diabetes are likely to experience one or more chronic illness and a significant portion of the costs associated with these complications are attributed to the underlying diabetes. The growing epidemics of diabetes and associated diabetic complications worldwide poses catastrophic financial costs, especially in Africa where most of the expenses are paid by patients and families. The most common method used for the estimation of the economic burden of a public health problem like diabetes is the cost-of-illness approach. Cost-of-illness studies traditionally divide costs into three categories: direct, indirect, and intangible. The IDF estimated the total health expenditure due to diabetes at $3.3 billion worldwide in 2017. Most of the existing studies in Africa estimated only the direct costs. The medical direct cost of type 1 diabetes was higher than type 2. However, the estimations of costs of diabetes in many countries in Africa may be underestimated due to absence of data on the relative contribution of cost of diabetes complications.

The direct medical cost of type 2 diabetes mellitus in South Africa: a cost of illness study

Background: Type 2 diabetes mellitus (T2DM) is known to require continuous clinical care and management that consumes significant health-care resources. These costs are not well understood, particularly in low- and middle-income countries. Objective: The aim of this study was to estimate the direct medical costs associated with T2DM in the South African public health sector and to project an estimate of the future direct costs of T2DM by 2030. Methods: A cost of illness study was conducted to estimate the direct medical costs of T2DM in South Africa in 2018 and to make projections for potential costs in 2030. Costs were estimated for diagnosis and management of T2DM, and related complications. Analyses were implemented in Microsoft Excel, with sensitivity analysis conducted on particular parameters. Results: In 2018, public sector costs of diagnosed T2DM patients were approximately ZAR 2.7 bn and ZAR 21.8 bn if both diagnosed and undiagnosed patients are considered. In real terms, the 2030 cost of all T2DM cases is estimated to be ZAR 35.1 bn. Approximately 51% of these estimated costs for 2030 are attributable to the management of T2DM, and 49% are attributable to complications. Conclusion: T2DM imposes a significant financial burden on the public healthcare system in South Africa. Treatment of all prevalent cases would incur a cost equivalent to approximately 12% of the total national health budget in 2018. With rising prevalence, direct costs will grow if current care regimes are maintained and case-finding improved. Increased financial resources are necessary in order to deliver effective services to people with T2DM.

Costs and Length of Stay of Hospitalizations due to Diabetes-Related Complications

BACKGROUND

Diabetes mellitus (DM) has become a significant worldwide public health problem and economic burden because a great proportion of healthcare costs has been spent on the treatment of DM and its related complications. The aim of this study was to examine the costs and length of stay (LoS) of hospitalizations due to diabetes-related complications in Taiwan.

METHODS

This study is a retrospective claim database analysis using the Longitudinal Cohort of Diabetes Patients, with 2012 used as the base year. The hospitalization costs and LoS per admission were estimated for each complication of interest using data from the LHDB 2004 to 2012 cohorts. The presence of eight DM-related complications were identified using the ICD-9-CM codes and procedure codes. ANOVA was used to examine the relationships of diabetes duration with the LoS and costs of the complications.

RESULTS

A total of 27,473 DM patients who were hospitalized in 2012 due to one of the examined DM-related complications were identified. The most common complications that caused the hospitalizations were nonfatal stroke (34.7%) and nonfatal ischemic heart disease (IHD) (28.7%). Amputation was the complication with the longest hospital stay, with a mean ± SD of 21.6 ± 14.1 days, followed by nonfatal stroke (13.6 ± 11.3), ulcer (12.7 ± 11.8), and fatal IHD (12.2 ± 13.6). The complications with the greatest hospitalization cost were fatal IHD (mean = TWD 306,209.8; median = TWD 221,417.0; 1TWD = 0.034USD) and fatal myocardial infarction (mean = TWD 272,840.1; median = TWD 174,008).

CONCLUSIONS

This study indicates that DM-related complications are associated with significant hospital LoS and costs. The study results could be useful for economic evaluations of diabetes treatments and the estimation of the overall economic impact of diabetes.

Exploring Different Strategies of Assessing the Economic Impact of Multiple Diabetes-Associated Complications and Their Interactions: A Large Claims-Based Study in Germany

BACKGROUND

In the context of an aging population with increasing diabetes prevalence, people are living longer with diabetes, which leads to increased multimorbidity and economic burden.

OBJECTIVE

The primary aim was to explore different strategies that address the economic impact of multiple type 2 diabetes-related complications and their interactions.

METHODS

We used a generalized estimating equations approach based on nationwide statutory health insurance data from 316,220 patients with type 2 diabetes (baseline year 2012, 3 years of follow-up). We estimated annual total costs (in 2015 euros) for type 2 diabetes-related complications and, in addition, explored different strategies to assess diabetes-related multimorbidity: number of prevalent complications, co-occurrence of micro- and macrovascular complications, disease-disease interactions of prevalent complications, and interactions between prevalent/incident complications.

RESULTS

The increased number of complications was significantly associated with higher total costs. Further assessment of interactions showed that macrovascular complications (e.g., chronic heart failure) and high-cost complications (e.g., end-stage renal disease, amputation) led to significant positive effects of interactions on costs, whereas early microvascular complications (e.g., retinopathy) caused negative interactions. The chronology of the onset of these complications turned out to have an additional impact on the interactions and their effect on total costs.

CONCLUSIONS

Health economic diabetes models and evaluations of interventions in patients with diabetes-related complications should pay more attention to the economic effect of specific disease interactions. Politically, our findings support the development of more integrated diabetes care programs that take better account of multimorbidity. Further observational studies are needed to elucidate the shared pathogenic mechanisms of diabetes complications.

How do type 2 diabetes mellitus (T2DM)-related complications and socioeconomic factors impact direct medical costs? A cross-sectional study in rural Southeast China

OBJECTIVE

To evaluate type 2 diabetes mellitus (T2DM)-related direct medical costs by complication type and complication number, and to assess the impacts of complications as well as socioeconomic factors on direct medical costs.

DESIGN

A cross-sectional study using data from the region's diabetes management system, social security system and death registry system, 2015.

SETTING

Tongxiang, China.

PARTICIPANTS

Individuals diagnosed with T2DM in the local diabetes management system, and who had 2015 insurance claims in the social security system. Patients younger than 35 years and patients whose insurance type changed in the year 2015 were excluded.

MAIN OUTCOME MEASURES

The mean of direct medical costs by complication type and number, and the percentage increase of direct medical costs relative to a reference group, considering complications and socioeconomic factors.

RESULTS

A total of 19 015 eligible individuals were identified. The total cost of patients with one complication was US$1399 at mean, compared with US$248 for patients without complications. The mean total cost for patients with 2 and 3+ complications was US$1705 and US$2994, respectively. After adjustment for socioeconomic confounders, patients with one complication had, respectively, 83.55% and 38.46% greater total costs for inpatient and outpatient services than did patients without complications. The presence of multiple complications was associated with a significant 44.55% adjusted increase in total outpatient costs, when compared with one complication. Acute complications, diabetic foot, stroke, ischaemic heart disease and diabetic nephropathy were the highest cost complications. Gender, age, education level, insurance type, T2DM duration and mortality were significantly associated with increased expenditures of T2DM.

CONCLUSIONS

Complications significantly aggravated expenditures on T2DM. Specific kinds of complications and the presence of multiple complications are correlated with much higher expenditures. Proper management and the prevention of related complications are urgently needed to reduce the growing economic burden of diabetes.

Long-term cost-effectiveness analysis shows that IDegLira is associated with improved outcomes and lower costs compared with insulin glargine U100 plus insulin aspart in the US

AIMS

The clinical and economic impact of diabetes is growing in the US. Choosing therapies that are both effective and cost-effective is becoming increasingly important. The aim of the present analysis was to assess the long-term cost-effectiveness of IDegLira for treatment of patients with type 2 diabetes mellitus not meeting glycemic targets on basal insulin, vs insulin glargine U100 plus insulin aspart, in the US setting.

MATERIALS AND METHODS

Long-term projections of cost-effectiveness outcomes were made using the IQVIA CORE Diabetes Model. Clinical inputs were based on the DUAL VII trial, with costs (accounted from a healthcare payer perspective) and utilities based on published sources. Future costs and clinical benefits were discounted at 3% annually.

RESULTS

IDegLira was associated with increased discounted life expectancy by 0.02 years and increased discounted quality-adjusted life expectancy by 0.22 quality-adjusted life years compared with insulin glargine U100 plus insulin aspart. Evaluation of direct medical costs suggested that the mean cost per patient with IDegLira was $3,571 lower than with insulin glargine U100 plus insulin aspart. The cost saving was driven predominantly by the lower acquisition cost of IDegLira compared with insulin glargine U100 plus insulin aspart, with further cost savings identified as a result of avoided treatment of diabetes-related complications. IDegLira was associated with improved clinical outcomes at a reduced cost compared with insulin glargine U100 plus insulin aspart.

CONCLUSIONS

Based on clinical trial data, the present analysis suggests that IDegLira is associated with improved clinical outcomes and cost savings compared with treatment with insulin glargine U100 plus insulin aspart for patients with type 2 diabetes not achieving glycemic control on basal insulin in the US. Therefore, IDegLira is likely to be considered dominant (cost saving and more effective) and, consequently, highly cost-effective in the US setting.

Impact of Reducing Glycated Hemoglobin on Healthcare Costs Among a Population with Uncontrolled Diabetes

INTRODUCTION

Glycated hemoglobin (A1C) is considered a "gold standard" measure of glycemic control in patients with diabetes and is correlated with a lower risk of diabetes complications and cost savings. This retrospective claims-analysis assessed the impact of A1C reduction on healthcare costs in patients with uncontrolled Type 1 and Type 2 diabetes.

METHODS

Using a large repository of US health plan administrative data linked to A1C values, patients with a diabetes diagnosis and at least two A1C values between 1 January 2009 and 31 December 2014 were selected to identify changes in A1C and associated changes in healthcare expenditure. We used all medical and pharmacy claims to calculate direct healthcare costs from 1 year prior to the index A1C to 2 years after the index A1C. A propensity score method was used to match patients with decreased A1C to patients whose A1C did not decrease, based on potentially confounding variables. Then, a generalized linear model regression was used to estimate the difference-in-difference (DD) effect on costs between the two groups.

RESULTS

Of the 3,197 patients who had a first A1C ≥ 9%, 2,273 patients (71%) had a decrease in A1C (Decreasers) and 924 patients (27%) had an increase in A1C (Non-decreasers). After matching, we compared 912 Decreasers to 912 Non-decreasers. Patients in the former group had average annual healthcare costs that were 24% lower during the first year of follow-up and 17% lower during the second year of follow-up, compared to patients whose A1C did not decrease. This reflected a savings of US$2503 and US$1690, respectively. For both time periods, the outpatient category was the largest contributor to cost savings.

DISCUSSION

In our analysis, A1C reduction among patients with T1DM and T2DM was associated with slower growth in healthcare costs within 1-2 years. These findings suggest that programs aimed at reducing A1C over a short timeframe may lead to substantial savings and may be worth pursuing by health plans and other payers.

What are the clinical, quality-of-life, and cost consequences of 30 years of excellent vs. poor glycemic control in type 1 diabetes?

OBJECTIVE

The Diabetes Control and Complications Trial (DCCT) demonstrated that intensive therapy for type 1 diabetes delayed the development of microvascular and neuropathic complications compared to conventional therapy. At the end of DCCT, all participants were trained in intensive therapy, care was transferred to community providers, and the difference in HbA1c between treatment groups narrowed and disappeared. Our objective was to describe the outcomes and the quality-of-life and costs associated with those outcomes in participants who maintained excellent vs. poor glycemic control over 30 years.

RESEARCH DESIGN AND METHODS

We assessed the incidence of retinopathy, nephropathy, neuropathy, cardiovascular disease, acute metabolic complications, death, quality-of-life, and costs in the tertile of DCCT intensive therapy participants who achieved a mean updated HbA1c of <7.2% (55 mmol/mol) and the tertile of DCCT conventional therapy participants (n = 240) who achieved a mean updated HbA1c of >8.8% (73 mmol/mol) over 30 years.

RESULTS

Thirty years of excellent vs. poor glycemic control substantially reduced the incidence of retinopathy requiring laser therapy (5% vs. 45%), end-stage renal disease (0% vs. 5%), clinical neuropathy (15% vs. 50%), myocardial infarction (3% vs. 5%), stroke (0.4% vs. 2%), and death (6% vs. 20%). It also resulted in a gain of ~1.62 quality-adjusted life-years and averted ~$90,900 in costs of complications per participant.

CONCLUSIONS

Thirty years of excellent vs. poor glycemic control for T1DM can substantially reduce the incidence of complications, comorbidities, and death, improve quality-of-life, and reduce costs. These estimates represent the benefits that may be achieved with excellent glycemic control.

The 30-year cost-effectiveness of alternative strategies to achieve excellent glycemic control in type 1 diabetes: An economic simulation informed by the results of the diabetes control and complications trial/epidemiology of diabetes interventions and complications (DCCT/EDIC)

OBJECTIVE

To simulate the cost-effectiveness of historical and modern treatment scenarios that achieve excellent vs. poor glycemic control in type 1 diabetes (T1DM).

RESEARCH DESIGN AND METHODS

We describe and compare the costs of intensive and conventional therapies for T1DM as performed during DCCT, and modern intensive and basic therapy scenarios using insulin analogs, pens, pumps, and continuous glucose monitoring (CGM) to achieve excellent or poor glycemic control. We then assess the differences in treatment costs and the costs of outcomes over 30 years and report incremental cost-effectiveness ratios.

RESULTS

Over 30 years, DCCT intensive therapy cost $127,500 to $181,600 more per participant than DCCT conventional therapy, and modern intensive therapy cost $87,700 to $409,000 more per individual than modern basic therapy. Excellent glycemic control averted as much as $90,900 in costs from complications and added ~1.62 quality-adjusted life-years (QALYs) per participant over 30 years. When costs and QALYs were discounted at 3% annually, DCCT intensive therapy and modern intensive therapies that use multiple daily injections (MDI) or pumps are cost-saving or cost-effective (<$100,000/QALY-gained). If applied to all patients with T1DM, modern intensive therapy using pumps and CGM is not cost-effective (>$250,000/QALY-gained) but would be more cost-effective if associated with less hypoglycemia, better glycemic control, fewer complications, or improved health-related quality-of-life.

CONCLUSIONS

Use of the least expensive intensive therapy needed to safely achieve treatment goals for patients with T1DM represents a good value for money.

TRIAL REGISTRATION

clinicaltrials.govNCT00360815 and NCT00360893.

Improvement of Metabolic Control and Diabetes Management in Insulin-Treated Patients Results in Substantial Cost Savings for the German Health System

BACKGROUND

Self-monitoring of blood glucose (SMBG) using the ColourSure™ Technology to visualize target range showed improvement of metabolic control and overall diabetes self-management in insulin-treated patients. This economic analysis aimed to identify cost savings for the German health system resulting from an HbA1c reduction due to the utilization of user-friendly glucose meters.

METHODS

Patient data from a recently published observational study on SMBG were used for risk evaluations using the UKPDS risk engine. These values were integrated in an economic analysis regarding costs of myocardial infarctions (MIs) related to diabetes for the German health system. Based on an earlier assessment these calculations were combined with a 10% reduction of severe hypoglycemic episodes. In the current study, 0% severe hypoglycemic episodes were observed.

RESULTS

An HbA1c reduction of 0.69% over 6 months was associated with a 3% decreased risk of MI in 10 years. In this model the decrease led to cost savings of €4.90 per patient-year. Considering 2.3 million insulin-treated patients in Germany, this 3% reduction of MI could result in annual savings of €11.27 million. Combining this with a 10% reduction in severe hypoglycemic events, the cost savings would increase to €30.61 per patient-year or €70.4 million for 2.3 million insulin-treated patients in Germany.

CONCLUSION

The improvement of metabolic control and diabetes self-management that was achieved with the ColourSure™ Technology has the potential to generate substantial cost savings for the German health system underlining the importance of user-friendly methods for SMBG.

Switching from sitagliptin to liraglutide to manage patients with type 2 diabetes in the UK: A long-term cost-effectiveness analysis

AIMS

The recent LIRA-SWITCH trial showed that switching from sitagliptin 100 mg to liraglutide 1.8 mg led to statistically significant and clinically relevant improvements in glycated haemoglobin (HbA1C) and body mass index (BMI). Based on these findings, the aim of the present study was to assess the long-term cost-effectiveness of switching from sitagliptin to liraglutide in patients with type 2 diabetes in the UK.

MATERIALS AND METHODS

The IQVIA CORE Diabetes Model Version 8.5+ was used to project costs and clinical outcomes over patients' lifetimes. Baseline cohort characteristics and treatment effects were derived from the LIRA-SWITCH trial. Future costs and clinical benefits were discounted at 3.5% annually. Costs were accounted in pounds sterling (GBP) and expressed in 2016 values. One-way and probabilistic sensitivity analyses were performed.

RESULTS

Model projections showed improved quality-adjusted life expectancy for patients with poorly controlled HbA1c upon switching from sitagliptin to liraglutide, compared with continuing sitagliptin treatment (9.18 vs 9.02 quality-adjusted life years [QALYs]). Treatment switching was associated with increased overall costs (GBP 24737 vs GBP 22362). Higher pharmacy costs were partially offset by reduced diabetes-related complication costs in patients who switched to liraglutide. Switching to liraglutide was associated with an incremental cost-effectiveness ratio of GBP 15423 per QALY gained vs continuing with sitagliptin treatment.

CONCLUSIONS

Switching from sitagliptin 100 mg to liraglutide 1.8 mg in patients with poor glycaemic control was projected to improve clinical outcomes and is likely to be considered cost-effective in the UK setting and, therefore, a good use of limited NHS resources.

Healthcare costs and utilization of diabetes-related complications in Taiwan: A claims database analysis

To estimate the healthcare utilization and costs of major diabetes mellitus (DM)-related complications in Taiwan in the year of first occurrence and in subsequent years.This study is a retrospective claim database analysis using the longitudinal cohort of diabetes patients (LHDB) with 2012 as the base year. Occurrences of 8 DM-related complications of interest were identified using the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes. Annual healthcare costs and utilization of these DM-related complications in the LHDB cohorts of the years 2004 to 2009 were examined, and the generalized linear model was used to estimate annual total healthcare costs for each complication.DM patients with complications were more likely to have at least 1 emergency room (ER) visit and at least 1 hospitalization (both P < .001), and they also had more outpatient visits, higher hospitalization costs, higher outpatient costs, and higher ER costs (all P < .001) than those without. The mean annual total healthcare cost of the patients with DM-related complications was US $4189, whereas the mean annual cost of those patients without complication was $1424 (P < .001). The complications with the greatest event costs were amputation ($7877; 95% confidence interval [CI]: $6628-$9322) and fatal MI ($4067; 95% CI: $3001-$5396) while the complication with the greatest state costs was end-stage renal disease (ESRD) ($2228; 95% CI: $2155 to $2302).DM-related complications could significantly increase healthcare utilization and costs. The results of this study provide data that are useful for local economic evaluations of DM treatments.

Association between provider specialty and healthcare costs and glycemic control for patients with diabetes

AIMS

To analyze the association between provider, healthcare costs, and glycemic control for patients with diabetes mellitus (DM).

MATERIALS AND METHODS

This cross-sectional study identified adults with type 1 or 2 DM (T1D, T2D) in the Optum database. The main independent variable was provider (endocrinologist or primary care). Regression analysis compared total medical and pharmacy costs, adjusting for health status and other patient differences, by provider.

RESULTS

For all patients, HbA1C improvement was greater, and medical costs significantly lower with an endocrinologist rather than a primary care provider. The largest HbA1C improvement (4%) occurred for insulin-dependent patients seen by endocrinologists. Significant medical savings with endocrinologist management occurred within the Medicare Advantage population in every sub-group of patients, with 14% lower costs ($4,767) for patients with T1D, 11% lower costs ($3,160) for patients with macro- and microvascular complications, and 10% lower costs ($2,237) for insulin-dependent patients. Within the commercial insurance population, medical costs were reduced by ≥9% in every sub-group of patients, with a 20% reduction ($8,450) for patients with micro- and macrovascular complications. Overall total costs (medical and pharmacy) were 8% ($1,541) higher for patients receiving endocrinologist rather than primary care, although endocrinologist care resulted in a 9% reduction (-$3,710) in costs for Medicare Advantage patients with T1D. Total medical costs (excluding pharmacy costs) may be a more accurate indicator of costs associated with patients in various stages of DM.

LIMITATIONS

There was insufficient data to develop risk-adjustment payments for pharmacy costs based on disease severity. The cross-sectional design identifies associations and not cause-effect relationships.

CONCLUSION

DM management by an endocrinologist was associated with greater HbA1C improvement and significantly lower medical costs. Total costs were higher with an endocrinologist, but for patients with T1D lower costs were seen, ranging from 2-9% regardless of insurance type.

Computer Modeling of Diabetes and Its Transparency: A Report on the Eighth Mount Hood Challenge

OBJECTIVES

The Eighth Mount Hood Challenge (held in St. Gallen, Switzerland, in September 2016) evaluated the transparency of model input documentation from two published health economics studies and developed guidelines for improving transparency in the reporting of input data underlying model-based economic analyses in diabetes.

METHODS

Participating modeling groups were asked to reproduce the results of two published studies using the input data described in those articles. Gaps in input data were filled with assumptions reported by the modeling groups. Goodness of fit between the results reported in the target studies and the groups' replicated outputs was evaluated using the slope of linear regression line and the coefficient of determination (R²). After a general discussion of the results, a diabetes-specific checklist for the transparency of model input was developed.

RESULTS

Seven groups participated in the transparency challenge. The reporting of key model input parameters in the two studies, including the baseline characteristics of simulated patients, treatment effect and treatment intensification threshold assumptions, treatment effect evolution, prediction of complications and costs data, was inadequately transparent (and often missing altogether). Not surprisingly, goodness of fit was better for the study that reported its input data with more transparency. To improve the transparency in diabetes modeling, the Diabetes Modeling Input Checklist listing the minimal input data required for reproducibility in most diabetes modeling applications was developed.

CONCLUSIONS

Transparency of diabetes model inputs is important to the reproducibility and credibility of simulation results. In the Eighth Mount Hood Challenge, the Diabetes Modeling Input Checklist was developed with the goal of improving the transparency of input data reporting and reproducibility of diabetes simulation model results.

HBA1C CONTROL AND COST-EFFECTIVENESS IN PATIENTS WITH TYPE 2 DIABETES MELLITUS INITIATED ON CANAGLIFLOZIN OR A GLUCAGON-LIKE PEPTIDE 1 RECEPTOR AGONIST IN A REAL-WORLD SETTING

OBJECTIVE

To compare glycated hemoglobin (HbA1c) control and medication costs between patients with type 2 diabetes mellitus (T2DM) treated with canagliflozin 300 mg (CANA) or a glucagon-like peptide 1 receptor agonist (GLP-1 RA) in a real-world setting.

METHODS

Adults with T2DM newly initiated on CANA or a GLP-1 RA (index date) were identified from IQVIA^™ Real-World Data Electronic Medical Records U.S. database (March 29, 2012-April 30, 2016). Inverse probability of treatment weighting accounted for differences in baseline characteristics. HbA1c levels at 3-month intervals were compared using generalized estimating equations. Medication costs used wholesale acquisition costs.

RESULTS

For both cohorts (CANA: n = 11,435; GLP-1 RA: n = 11,582), HbA1c levels decreased at 3 months postindex and remained lower through 30 months. Absolute changes in mean HbA1c from index to 3 months postindex for CANA and GLP-1 RA were -1.16% and -1.21% (patients with baseline HbA1c ≥7% [53 mmol/mol]); -1.54% and -1.51% (patients with baseline HbA1c ≥8% [64 mmol/mol]); and -2.13% and -1.99% (patients with baseline HbA1c ≥9% [75 mmol/mol]), respectively. Postindex, CANA patients with baseline HbA1c ≥7% had similar HbA1c levels at each interval versus GLP-1 RA patients, except 9 months (mean HbA1c, 7.75% [61 mmol/mol] vs. 7.86% [62 mmol/mol]; P = .0305). CANA patients with baseline HbA1c ≥8% and ≥9% had consistently lower HbA1c numerically versus GLP-1 RA patients and statistically lower HbA1c at 9 (baseline HbA1c ≥8% or ≥9%), 27, and 30 months (baseline HbA1c ≥9%). Continuous 12-month medication cost $3,326 less for CANA versus GLP-1 RA.

CONCLUSION

This retrospective study demonstrated a similar evolution of HbA1c levels among CANA and GLP-1 RA patients in a real-world setting. Lower medication costs suggest CANA is economically dominant over GLP-1 RA (similar effectiveness, lower cost).

ABBREVIATIONS

AHA = antihyperglycemic agent BMI = body mass index CANA = canagliflozin 300 mg DCSI = diabetes complications severity index eGFR = estimated glomerular filtration rate EMR = electronic medical record GLP-1 RA = glucagon-like peptide 1 receptor agonist HbA1c = glycated hemoglobin ICD-9-CM = International Classification of Diseases-Ninth Revision-Clinical Modification ICD-10-CM = International Classification of Diseases-Tenth Revision-Clinical Modification IPTW = inverse probability of treatment weighting ITT = intent-to-treat MPR = medication possession ratio PDC = proportion of days covered PS = propensity score PSM = propensity score matching Quan-CCI = Quan-Charlson comorbidity index SGLT2 = sodium-glucose cotransporter 2 T2DM = type 2 diabetes mellitus WAC = wholesale acquisition cost.

Patients lacking glycemic control place more burdens on health services with the use of medications

INTRODUCTION

DM spending in the world is high, and Brazilian studies of public spending caused by DM are scarce.

OBJECTIVE

To estimate the annual direct cost for the municipal health sphere, related to DM2 treatment, in patients with and without glycemic control.

METHOD

A cross-sectional study carried out in a city in the interior of Minas Gerais state, with patients with DM2, being municipal PHS users. Data were collected from the computerized system of the municipality and patient records, and analyzed using the IBM SPSS v.19 statistical package. The response variable was categorized into controlled A1c (≤7%) and uncontrolled A1c (>7%).

RESULTS

Glycemic control in 56.6% of the patients was unsatisfactory; the mean cost of pharmacotherapy for DM2 was US$ 3.14 per year for patients in the control group and US$ 45.54 per year for uncontrolled patients.

CONCLUSION

Patients with unsatisfactory glycemic control are more expensive for the municipal health system.

The cost-effectiveness of dulaglutide versus insulin glargine for the treatment of type 2 diabetes mellitus in Japan

AIMS

Dulaglutide is a new once weekly glucagon-like peptide-1 (GLP-1) receptor agonist administered via a disposable auto-injection pen for the management of type 2 diabetes mellitus (T2DM). The objective of this study was to estimate the cost-effectiveness of dulaglutide vs insulin glargine for the management of T2DM from a Japanese healthcare perspective, in accordance with recently approved Japanese Cost-Effectiveness Guidelines.

METHODS

The IQVIA CORE Diabetes Model (version 9) was used to estimate the long-term costs and effects of treatment with dulaglutide and insulin glargine. Direct comparative data from the Araki 2015 trial (NCT01584232) was used to inform the analysis. Costs associated with treatment and complications were derived from Japanese sources wherever possible and inflated to 2015 Japanese Yen (JPY). Utilities were based upon a European systematic review of diabetes utilities and adjusted for use in a Japanese population. One-way and probabilistic sensitivity analyses (OWSA and PSA) were conducted on all inputs and key modeling assumptions.

RESULTS

Dulaglutide 0.75 mg was associated with higher quality-adjusted life years (QALYs), life years (LYs), and total costs, compared to insulin glargine, resulting in an incremental cost-effectiveness ratio (ICER) of 416,280 JPY/QALY gained. Treatment with dulaglutide increased the time alive and free from diabetes-related complications by 4 months. OWSA and PSA indicated that results were robust to plausible variations in input parameters and modeling assumptions.

LIMITATIONS

Key limitations of this study are similar to other cost-utility analyses of diabetes, including the extrapolation of short-term clinical trial data into lifelong durations. In addition, due to the lack of robust published Japanese data, some values were derived from non-Japanese sources.

CONCLUSIONS

This analysis suggests that dulaglutide 0.75 mg may be a cost-effective treatment alternative to insulin glargine for patients with T2DM in Japan.

Diabetes mellitus and chronic kidney disease in the Eastern Mediterranean Region: findings from the Global Burden of Disease 2015 study

OBJECTIVES

We used findings from the Global Burden of Disease 2015 study to update our previous publication on the burden of diabetes and chronic kidney disease due to diabetes (CKD-DM) during 1990-2015.

METHODS

We extracted GBD 2015 estimates for prevalence, mortality, and disability-adjusted life years (DALYs) of diabetes (including burden of low vision due to diabetes, neuropathy, and amputations and CKD-DM for 22 countries of the EMR from the GBD visualization tools.

RESULTS

In 2015, 135,230 (95% UI 123,034-148,184) individuals died from diabetes and 16,470 (95% UI 13,977-18,961) from CKD-DM, 216 and 179% increases, respectively, compared to 1990. The total number of people with diabetes was 42.3 million (95% UI 38.6-46.4 million) in 2015. DALY rates of diabetes in 2015 were significantly higher than the expected rates based on Socio-demographic Index (SDI).

CONCLUSIONS

Our study showed a large and increasing burden of diabetes in the region. There is an urgency in dealing with diabetes and its consequences, and these efforts should be at the forefront of health prevention and promotion.

A New Statistical Method to Determine the Degree of Validity of Health Economic Model Outcomes against Empirical Data

BACKGROUND

The validation of health economic (HE) model outcomes against empirical data is of key importance. Although statistical testing seems applicable, guidelines for the validation of HE models lack guidance on statistical validation, and actual validation efforts often present subjective judgment of graphs and point estimates.

OBJECTIVES

To discuss the applicability of existing validation techniques and to present a new method for quantifying the degrees of validity statistically, which is useful for decision makers.

METHODS

A new Bayesian method is proposed to determine how well HE model outcomes compare with empirical data. Validity is based on a pre-established accuracy interval in which the model outcomes should fall. The method uses the outcomes of a probabilistic sensitivity analysis and results in a posterior distribution around the probability that HE model outcomes can be regarded as valid.

RESULTS

We use a published diabetes model (Modelling Integrated Care for Diabetes based on Observational data) to validate the outcome "number of patients who are on dialysis or with end-stage renal disease." Results indicate that a high probability of a valid outcome is associated with relatively wide accuracy intervals. In particular, 25% deviation from the observed outcome implied approximately 60% expected validity.

CONCLUSIONS

Current practice in HE model validation can be improved by using an alternative method based on assessing whether the model outcomes fit to empirical data at a predefined level of accuracy. This method has the advantage of assessing both model bias and parameter uncertainty and resulting in a quantitative measure of the degree of validity that penalizes models predicting the mean of an outcome correctly but with overly wide credible intervals.

The current total economic burden of diabetes mellitus in the Netherlands

INTRODUCTION AND AIM

Insight into the total economic burden of diabetes mellitus (DM) is essential for decision makers and payers. Currently available estimates for the Netherlands only include part of the total burden or are no longer up-to-date. Therefore, this study aimed to determine the current total economic burden of DM and its complications in the Netherlands, by including all the relevant cost components.

METHODS

The study combined a systematic literature review to identify all relevant published information and a targeted review to identify relevant information in the grey literature. The identified evidence was then combined to estimate the current total economic burden.

RESULTS

In 2016, there were an estimated 1.1 million DM patients in the Netherlands, of whom approximately 10% had type 1 and 90% had type 2 DM. The estimated current total economic burden of DM was € 6.8 billion in 2016. Healthcare costs (excluding costs of complications) were € 1.6 billion, direct costs of complications were € 1.3 billion and indirect costs due to productivity losses, welfare payments and complications were € 4.0 billion.

CONCLUSION

DM and its complications pose a substantial economic burden to the Netherlands, which is expected to rise due to changing demographics and lifestyle. Indirect costs, such as welfare payments, accounted for a large portion of the current total economic burden of DM, while these cost components are often not included in cost estimations. Publicly available data for key cost drivers such as complications were scarce.