The economic impact of insulin-related hypoglycemia in Denmark: an analysis using the Local Impact of Hypoglycemia Tool

Aims: To estimate the direct cost of hypoglycemia in insulin-treated adults with type 1 diabetes (T1DM) and type 2 diabetes (T2DM) in Denmark.

Materials and methods: The Local Impact of Hypoglycemia Tool (LIHT) was used to estimate the costs associated with insulin-related hypoglycemia. Average utilization of healthcare resources, including the costs of pre-hospitalization, hospital admission, healthcare professional contact and follow-up, glucose/glucagon, and extra SMBG tests to monitor blood glucose following an episode, was used to calculate an average cost per severe and per non-severe hypoglycemic episode. The cost per episode was then applied to the rates of severe and non-severe hypoglycemia in people with T1DM and T2DM in Denmark.

Results: The direct cost of insulin-related hypoglycemia in Denmark is DKK 96.2 million per year, which equates to EUR 12.9 million. For people with T1DM prone to severe hypoglycemia (defined as having ≥2 severe episodes in the past year), the cost per person per year increases by DKK 4,155 compared with the T1DM population average, and for people with T2DM prone to non-severe hypoglycemia (defined as having ≥1 non-severe episode in the last 4 weeks), the cost increases by DKK 647 per person per year compared with the T2DM population average.

Conclusions: The LIHT highlights the substantial economic burden of insulin-related hypoglycemia in Denmark, and provides a means to estimate the savings that could be made by lowering hypoglycemia rates. For example, the costs associated with using a new insulin or introducing a patient education program could be offset with the cost saving from reducing hypoglycemia.     

奥利司他与二甲双胍联用对肥胖型2型糖尿病患者的疗效及对体重指数、胰岛β细胞功能指数、胰岛素抵抗指数水平的影响

目的探讨奥利司他与二甲双胍联用对肥胖型2型糖尿病(T2DM)患者的疗效及对体重指数(BMI)、胰岛β细胞功能指数(HOMA-β)、胰岛素抵抗指数(HOMA-IR)水平的影响。方法选取2018年2月至2020年2月大连市第四人民医院收治的肥胖型T2DM患者83例作为研究对象,按随机数字表法分为联合组41例与对照组42例。对照组予以盐酸二甲双胍片治疗,联合组则在对照组的基础上增用奥利司他胶囊治疗。两组进行为期3个月的治疗,比较两组临床疗效,治疗前后BMI、HOMA-β、HOMA-IR水平,微炎症状态变化情况,药物不良反应发生情况。结果治疗后联合组空腹血糖(FBG)、餐后2h血糖(2hPBG)、糖化血红蛋白(HbA1c)水平明显低于对照组(P<0.05)。治疗后联合组BMI以及HOMA-IR明显低于对照组,而HOMA-β明显高于对照组,差异有统计学意义(P<0.05)。治疗后联合组血清肿瘤坏死因子-α(TNF-α)、白细胞介素-6(IL-6)水平明显低于对照组(P<0.05)。两组头痛、低血糖、腹泻以及胃肠胀气发生率比较差异无统计学意义(P>0.05)。结论奥利司他与...     

糖尿病并发脑出血与非糖尿病性脑出血疗效比较

探讨糖尿病并发脑出血与非糖尿病性脑出血的临床疗效及预后.分别选取38例糖尿病并发脑出血患者(A组)和54例非糖尿病性脑出血患者(B组),两组均采取常规治疗并对治疗效果进行比较.结果表明,A组治愈率(5.62%)明显低于B组治愈率(16.67%),A组疗效明显低于B组.因此,糖尿病并发脑出血组(A组)的疗效较非糖尿病性脑出血组(B组)为差.     

Management of severe hypoglycaemia: cultural similarities,differences and resource consumption in three European countries

Abstract

Background: To investigate the characteristics of people with insulin-treated diabetes, who have experienced severe hypoglycaemic events (SHEs), in Germany, Spain or UK.

Methods: Patients with type 1 (n=319) or insulin-treated type 2 diabetes (n=320) who had experienced ≥1 SHE in the preceding year were enrolled. Their median age was 53 years (range, 16–94 years). Data were collected using a questionnaire administered by an experienced interviewer.

Results: The median number of reported SHEs was 2–3 in 12 months. Most events (69%) occurred at home, usually during the day or evening (74%) and most commonly due to insufficient food consumption (45%). In patients whose hypoglycaemia awareness was tested, 68% had normal awareness. Patients requiring emergency healthcare treatment frequently had impaired hypoglycaemia awareness, and developed hypoglycaemic coma more often. Hospital treatment was usually provided in an emergency department (72–94%). The duration of stay was longest in Germany. Following a SHE, patients receiving professional treatment were more likely to: consult their physician, test their blood glucose more often, adjust insulin dose and receive self-management training.

Conclusions: This survey of diabetes patients aged 16–94 years showed that SHEs represent a substantial burden on national healthcare systems in Germany, UK and Spain. The pattern of occurrence and treatment was similar in all three countries, despite differences in cultures and healthcare systems.     

Contingent valuation of inhaled insulin: a Canadian perspective

Summary

The objective of this study was to assess the preference and willingness-to-pay (WTP) for inhaled insulin from a random sample of general public perspective in Ontario, Canada. This was carried out using a mail survey using the contingent valuation method. Significantly more respondents preferred inhaled insulin (n=114) over subcutaneous insulin (n=6; p<0.001). The mean monthly WTP for inhaled insulin was CAN$68.59 ± 44.65 (95% confidence interval CAN$58.87–78.07), significantly more than the average subcutaneous insulin cost in Ontario of CAN$50. The WTP for inhaled insulin in the diabetic subgroup was CAN$98.52 ± 48.57, which is significantly higher than that of the general public (p<0.001). Multiple regression analysis showed a strong association between respondents’ income and diagnosis of diabetes and their WTP for inhaled insulin (p<0.001). Major influencing factors were convenience and household budget. The results of this study suggest that the general public in Ontario prefer inhaled insulin and are willing to pay significantly more per month than the current cost of subcutaneous insulin.     

Cost-effectiveness of switching to biphasic insulin aspart from human premix insulin in a US setting

Objectives: To evaluate the cost-effectiveness of switching to biphasic insulin aspart (BIAsp 30) from human premix insulin for type 2 diabetes patients in the United States (US) setting.

Methods: The previously published and validated IMS Core Diabetes Model was used to project life expectancy, quality-adjusted life expectancy (QALE) and costs over 30 years. Patient characteristics and treatment effects were based on Canadian patients included the IMPROVE observational study (n = 311). Mean glycohaemoglobin (HbA_1c) was 8.4%, duration of diabetes 16 years and prevalence of complications high at baseline. Simulations were conducted from the perspective of a third-party payer, with costs accounted in 2008 US dollars ($).

Results: BIAsp 30 was projected to improve life expectancy by 0.202 years and QALE by 0.301 quality-adjusted life-years (QALYs), due to a reduced incidence of most diabetes-related complications. BIAsp 30 was associated with increased lifetime direct medical costs ($76,517 vs. 67,518) and an incremental cost-effectiveness ratio of $29,870 per QALY gained. Long-term outcomes were sensitive to the impact of BIAsp 30 on hypoglycaemia and changes in HbA_1c.

Conclusions: BIAsp 30 may represent a cost-effective treatment option in the US setting for advanced type 2 diabetes patients experiencing poor glycaemic control or hypoglycaemia on human premix insulin.

Limitations: The application of treatment effect data derived from a Canadian cohort to the US setting was a limitation of the cost-effectiveness analysis. The findings of this cost-effectiveness analysis are not applicable to insulin-naïve diabetes patients.     

Factors associated with increased healthcare costs in Medicare Advantage patients with type 2 diabetes enrolled in a large representative health insurance plan in the US

Abstract

Aim:

The objective of this study was to apply quantile regression (QR) methodology to a population from a large representative health insurance plan with known skewed healthcare utilization attributes, co-morbidities, and costs in order to identify predictors of increased healthcare costs. Further, this study provides comparison of the results to those obtained using ordinary least squares (OLS) regression methodology.

Methods:

Members diagnosed with Type 2 Diabetes and with 24 months of continuous enrollment were included. Baseline patient demographic, clinical, consumer/behavioural, and cost characteristics were quantified. Quantile regression was used to model the relationship between the baseline characteristics and total healthcare costs during the follow-up 12 month period.

Results:

The sample included 83,705 patients (mean age?=?70.6 years, 48% male) residing primarily in the southern US (78.1%); 81.2% of subjects were on oral-only anti-diabetic therapy. Co-morbid conditions included nephropathy (43.5%), peripheral artery disease (26.4%), and retinopathy (18.0%). Variables with the strongest relationship with costs during the follow-up period included outpatient visits, ER visits, inpatient visits, and Diabetes Complications Severity Index score during the baseline period. In the top cost quantiles, each additional glycohemoglobin (HbA1c) test was associated with cost savings ($1400 in the 98th percentile). Stage 4 and Stage 5 chronic kidney disease were associated with an incremental cost increase of $33,131 and $106,975 relative to Stage 1 or no CKD in the 98th percentile ($US).

Conclusions:

These results demonstrate that QR provides additional insight compared to traditional OLS regression modeling, and may be more useful for informing resource allocation to patients most likely to benefit from interventions. This study highlights that the impact of clinical and demographic characteristics on the economic burden of the disease vary across the continuum of healthcare costs. Understanding factors that drive costs on an individual patient level provide important insights that will help in ameliorating the clinical, humanistic, and economic burden of diabetes.     

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.     

Socio-economic impact of the mHealth adoption in managing diabetes

The increasing prevalence of prediabetes and diabetes has become a serious problem in Korea. This study aims to compare the effects of various policy options for mHealth proliferation for managing and preventing diabetes. To this end, we simulate the plausible possibility of mHealth using system dynamics modelling. There are several important findings of this study that are helpful to policy makers’ decisions. First, innovative healthcare delivery through mHealth has a positive influence on health to significantly reduce prediabetes and diabetes. Moreover, the gap between the healthcare system with and without mHealth increases over time. Second, the effectiveness of mHealth adoption depends on the timing of implementation of institutional reforms. Finally, mHealth adoption can stimulate national economic growth as the demand for a new healthcare system rises.