Cost-effectiveness of G5 Mobile continuous glucose monitoring device compared to self-monitoring of blood glucose alone for people with type 1 diabetes from the Canadian societal perspective

Aims: To evaluate the cost-effectiveness of real-time continuous glucose monitoring (CGM) compared to self-monitoring of blood glucose (SMBG) alone in people with type 1 diabetes (T1DM) using multiple daily injections (MDI) from the Canadian societal perspective.

Methods: The IMS CORE Diabetes Model (v.9.0) was used to assess the long-term (50 years) cost-effectiveness of real-time CGM (G5 Mobile CGM System; Dexcom, Inc., San Diego, CA) compared with SMBG alone for a cohort of adults with poorly-controlled T1DM. Treatment effects and baseline characteristics of patients were derived from the DIAMOND randomized controlled clinical trial; all other assumptions and costs were sourced from published research. The accuracy and clinical effectiveness of G5 Mobile CGM is the same as the G4 Platinum CGM used in the DIAMOND randomized clinical trial. Base case assumptions included (a) baseline HbA1c of 8.6%, (b) change in HbA1c of –1.0% for CGM users vs –0.4% for SMBG users, and (c) disutilities of –0.0142 for non-severe hypoglycemic events (NSHEs) and severe hypoglycemic events (SHEs) not requiring medical intervention, and –0.047 for SHEs requiring medical resources. Treatment costs and outcomes were discounted at 1.5% per year.

Results: The incremental cost-effectiveness ratio for the base case G5 Mobile CGM vs SMBG was $33,789 CAD/quality-adjusted life-year (QALY). Sensitivity analyses showed that base case results were most sensitive to changes in percentage reduction in hypoglycemic events and disutilities associated with hypoglycemic events. The base case results were minimally impacted by changes in baseline HbA1c level, incorporation of indirect costs, changes in the discount rate, and baseline utility of patients.

Conclusions: The results of this analysis demonstrate that G5 Mobile CGM is cost-effective within the population of adults with T1DM using MDI, assuming a Canadian willingness-to-pay threshold of $50,000 CAD per QALY.     

Cost-effectiveness of insulin detemir compared with neutral protamine Hagedorn insulin in patients with type 1 diabetes using a basal-bolus regimen in five European countries

Abstract

Objectives: The aim of this analysis was to evaluate the long-term clinical and economic outcomes associated with insulin detemir and neutral protamine Hagedorn (NPH) insulin in combination with mealtime insulin aspart in patients with type 1 diabetes in Belgian, French, German, Italian and Spanish settings.

Methods: The published and validated IMS CORE Diabetes Model was used to make long-term projections of life expectancy, quality-adjusted life expectancy and direct medical costs. The analysis was based on patient characteristics and treatment effects from a 2-year randomised controlled trial. Events were projected for a time horizon of 50 years. Potential uncertainty using a modelling approach was addressed.

Results: Basal-bolus therapy with insulin detemir was projected to improve quality-adjusted life expectancy by 0.45 years versus NPH in the German setting, with similar improvements in the other countries. Insulin detemir was associated with cost savings in Belgium, Germany and Spain. In France and Italy, lifetime costs were slightly higher in the detemir arm, leading to incremental cost-effectiveness ratios of €519 per QALY gained and €3,256 per QALY gained, respectively.

Conclusions: Compared to NPH, insulin detemir is likely to be a dominant treatment strategy in Belgium, Germany and Spain and highly cost-effective in France and Italy in patients with type 1 diabetes.     

Cost-effectiveness of insulin degludec compared with insulin glargine in a basal-bolus regimen in patients with type 1 diabetes mellitus in the UK

Abstract

Objective:

The aim of this study was to evaluate the cost-effectiveness of insulin degludec (IDeg) vs insulin glargine (IGlar) as part of a basal-bolus treatment regimen in adults with T1DM, using a short-term economic model.

Methods:

Data from two phase III clinical studies were used to populate a simple and transparent short-term model. The costs and effects of treatment with IDeg vs IGlar were calculated over a 12-month period. The analysis was conducted from the perspective of the UK National Health Service. Sensitivity analyses were conducted to assess the degree of uncertainty surrounding the results. The main outcome measure, the incremental cost-effectiveness ratio (ICER), was the cost per quality-adjusted life-year (QALY).

Results:

IDeg is a cost-effective treatment option vs IGlar in patients with T1DM on a basal-bolus regimen. The base case ICER was estimated at £16,895/QALY, which is below commonly accepted thresholds for cost-effectiveness in the UK. Sensitivity analyses demonstrated that the ICER was stable to variations in the majority of input parameters. The parameters that exerted the most influence on the ICER were hypoglycemia event rates, daily insulin dose, and disutility associated with non-severe nocturnal hypoglycemic events. However, even under extreme assumptions in the majority of analyses the ICERs remained below the commonly accepted threshold of £20,000–£30,000 per QALY gained.

Conclusions:

This short-term modeling approach accommodates the treat-to-target trial design required by regulatory bodies, and focuses on the impact of important aspects of insulin therapy such as hypoglycemia and dosing. For patients with T1DM who are treated with a basal-bolus insulin regimen, IDeg is a cost-effective treatment option compared with IGlar. IDeg may be particularly cost-effective for sub-groups of patients, such as those suffering from recurrent nocturnal hypoglycemia and those with impaired awareness of hypoglycemia.     

Outcomes associated with concordance of oral antidiabetic drug treatments to prescribing information in patients with type 2 diabetes mellitus and chronic kidney disease

Abstract

Objectives:

This retrospective study aims to examine the association between prescribing information (PI)-concordant oral antidiabetic drug (OAD) treatment and clinical and economic outcomes in patients with type 2 diabetes mellitus and stages 3–5 chronic kidney disease (CKD).

Methods:

The study used a large, national administrative claims database with laboratory findings to identify patients with a diagnosis of diabetes and indication of stages 3–5 CKD (first observed indication as the index date) between 1/1/2005 and 30/06/2009. OADs prescribed during 6 months following the index date (baseline period) were evaluated and patients were considered non-PI-concordant if any did not meet the recommendations regarding patients with renal impairment. Glycemic control and measures of healthcare costs (standardized to 2010 US dollars using the Consumer Price Index) and resource utilization were assessed during the 12 months following the baseline period. Severe hypoglycemic events were assessed after the baseline period until lost to follow-up. Regression analyses were performed after adjusting for demographic and clinical characteristics.

Results:

Among the 3300 patients included in the study, 2454 (74.4%) were non-PI-concordant. The non-PI-concordant patients had higher risk of severe hypoglycemic events identified in all settings (HR?=?1.35, 95% CI: 1.10–1.67) and events identified in inpatient hospital setting (HR?=?2.51, 95% CI: 1.49–4.22), were more likely to have inpatient hospital admissions (OR?=?1.27, 95% CI: 1.02–1.57), and were less likely to have glycemic control (OR?=?0.56, 95% CI: 0.44–0.71). Annual diabetes-related cost was $1638 higher in the non-PI-concordant cohort (p?=?0.0048).

Limitations:

The retrospective cohort design does not allow for conclusions to be drawn on the causal effect of PI-concordant use based on the associations observed.

Conclusion:

Our findings suggest PI-concordant treatment to be associated with better clinical and diabetes-associated economic outcomes. Future research is warranted to confirm the associations found in this study.     

Distribution and drivers of costs in type 2 diabetes mellitus treated with oral hypoglycemic agents: a retrospective claims data analysis

Objective:

To describe the distribution of costs and to identify the drivers of high costs among adult patients with type 2 diabetes mellitus (T2DM) receiving oral hypoglycemic agents.

Methods:

T2DM patients using oral hypoglycemic agents and having HbA1c test data were identified from the Truven MarketScan databases of Commercial and Medicare Supplemental insurance claims (2004–2010). All-cause and diabetes-related annual direct healthcare costs were measured and reported by cost components. The 25% most costly patients in the study sample were defined as high-cost patients. Drivers of high costs were identified in multivariate logistic regressions.

Results:

Total 1-year all-cause costs for the 4104 study patients were $55,599,311 (mean cost per patient?=?$13,548). Diabetes-related costs accounted for 33.8% of all-cause costs (mean cost per patient?=?$4583). Medical service costs accounted for the majority of all-cause and diabetes-related total costs (63.7% and 59.5%, respectively), with a minority of patients incurring >80% of these costs (23.5% and 14.7%, respectively). Within the medical claims, inpatient admission for diabetes-complications was the strongest cost driver for both all-cause (OR?=?13.5, 95% CI?=?8.1–23.6) and diabetes-related costs (OR?=?9.7, 95% CI?=?6.3–15.1), with macrovascular complications accounting for most inpatient admissions. Other cost drivers included heavier hypoglycemic agent use, diabetes complications, and chronic diseases.

Limitations:

The study reports a conservative estimate for the relative share of diabetes-related costs relative to total cost. The findings of this study apply mainly to T2DM patients under 65 years of age.

Conclusions:

Among the T2DM patients receiving oral hypoglycemic agents, 23.5% of patients incurred 80% of the all-cause healthcare costs, with these costs being driven by inpatient admissions, complications of diabetes, and chronic diseases. Interventions targeting inpatient admissions and/or complications of diabetes may contribute to the decrease of the diabetes economic burden.     

Economic simulation of canagliflozin and sitagliptin treatment outcomes in patients with type 2 diabetes mellitus with inadequate glycemic control

Abstract

Objectives:

This study examines the association between changes in diabetes-related quality measures (QMs) (HbA1c, systolic and diastolic blood pressure [BP], low-density lipoprotein cholesterol [LDL-C], and body weight) and healthcare costs in Type 2 diabetes mellitus (T2DM) patients. It also performs an economic simulation that evaluates the cost implications of the changes in QMs and of the incidence rates (IRs) of adverse events (AEs) associated with canagliflozin (CANA) and sitagliptin (SITA) treatments in a real-world setting.

Methods:

Health-insurance claims and electronic medical records from the Reliant Medical Group database (2007–2011) were used to identify adult patients with T2DM receiving metformin and sulfonylurea who did not achieve adequate glycemic control. The association between the changes in QMs and healthcare costs was evaluated using multivariate regression and non-parametric bootstrap methods. AE-related costs were taken from the literature. The cost impact of CANA and SITA outcomes was evaluated using the aforementioned costs and the changes in QMs and the IRs of AEs observed in a recent phase 3 trial comparing CANA and SITA as third oral agent (DIA3015).

Results:

Eight hundred and fifty-six T2DM patients were identified (mean age?=?65.8; female 45.4%). The regression analysis found that increases of 1 percentage point in HbA1C and 1% in systolic and diastolic BP, LDL-C, or weight were associated with a per patient per year (PPPY) cost increase of $4476 (p?=?0.028) and $566 (p?=?0.006), a decrease of $362 (p?=?0.070) and $7 (p?=?0.817), and an increase of $241 (p?=?0.481), respectively. The economic simulation showed that changes in QMs and IRs of AEs equivalent to those reported in DIA3015 would be associated with a reduction in PPPY healthcare costs of $6061 (p?=?0.036) for CANA and $2190 (p?=?0.098) for SITA.

Conclusions:

This study suggests that integrated approaches that manage to control a combination of quality measures are most successful at reducing downstream healthcare costs.