Severe hypoglycaemia in adults with insulin-treated diabetes: impact on healthcare resources.

AIMS: To assess resource utilization associated with severe hypoglycaemia across three insulin regimens in a large phase 3a clinical programme involving people with Type 1 diabetes treated with basal-bolus insulin, people with Type 2 diabetes treated with multiple daily injections and people with Type 2 diabetes treated with basal-oral therapy. METHODS: Data relating to severe hypoglycaemia events (defined as episodes requiring external assistance) from the insulin degludec and insulin degludec/insulin aspart programme (15 trials) were analysed using descriptive statistics. Comparators included insulin glargine, biphasic insulin aspart, insulin detemir and sitagliptin. Mealtime insulin aspart was used in some regimens. This analysis used the serious adverse events records, which documented the use of ambulance/emergency teams, a hospital/emergency room visit ≤ 24 h, or a hospital visit > 24 h. RESULTS: In total, 536 severe hypoglycaemia events were analysed, of which 157 (29.3%) involved an ambulance/emergency team, 64 (11.9%) led to hospital/emergency room attendance of ≤ 24 h and 36 (6.7%) required hospital admission (> 24 h). Although there were fewer events in people with Type 2 diabetes compared with Type 1 diabetes, once a severe episode occurred, the tendency to utilize healthcare resources was higher in Type 2 diabetes vs. Type 1 diabetes. A higher proportion (47.6%) in the basal-oral therapy group required hospital treatment for > 24 h versus the Type 1 diabetes (5.0%) and Type 2 diabetes multiple daily injections (5.3%) groups. CONCLUSION: This analysis suggests that severe hypoglycaemia events often result in emergency/ambulance calls and hospital treatment, incurring a substantial health economic burden, and were associated with all insulin regimens.

Development and validation of a cost-utility model for Type 1 diabetes mellitus.

AIMS: To develop a health economic model to evaluate the cost-effectiveness of new interventions for Type 1 diabetes mellitus by their effects on long-term complications (measured through mean HbA1c ) while capturing the impact of treatment on hypoglycaemic events. METHODS: Through a systematic review, we identified complications associated with Type 1 diabetes mellitus and data describing the long-term incidence of these complications. An individual patient simulation model was developed and included the following complications: cardiovascular disease, peripheral neuropathy, microalbuminuria, end-stage renal disease, proliferative retinopathy, ketoacidosis, cataract, hypoglycemia and adverse birth outcomes. Risk equations were developed from published cumulative incidence data and hazard ratios for the effect of HbA1c , age and duration of diabetes. We validated the model by comparing model predictions with observed outcomes from studies used to build the model (internal validation) and from other published data (external validation). We performed illustrative analyses for typical patient cohorts and a hypothetical intervention. RESULTS: Model predictions were within 2% of expected values in the internal validation and within 8% of observed values in the external validation (percentages represent absolute differences in the cumulative incidence). CONCLUSIONS: The model utilized high-quality, recent data specific to people with Type 1 diabetes mellitus. In the model validation, results deviated less than 8% from expected values.

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

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.

Cost-effectiveness of insulin degludec compared with insulin glargine for patients with type 2 diabetes treated with basal insulin - from the UK health care cost perspective.

AIMS: The aim of this analysis was to evaluate the cost-effectiveness of insulin degludec (IDeg) versus insulin glargine (IGlar) in adults with type 2 diabetes mellitus (T2DM) who are considered appropriate for treatment with a basal insulin analogue, using a short-term economic model. METHODS: Meta-analysis data from three phase III clinical studies were used to populate a simple and transparent short-term model. The costs and effects of treatment with IDeg versus 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. RESULTS: IDeg is a cost-effective treatment option versus IGlar in patients with T2DM using basal insulin. Base case incremental cost-effectiveness ratios (ICERs) were estimated at £15,795 per quality-adjusted life-year (QALY) and £13,078 per QALY, which are below commonly accepted thresholds for cost-effectiveness. Sensitivity analyses demonstrated that hypoglycaemia event rates had an important effect on the results. With higher event rates for non-severe hypoglycaemia IDeg was less costly and more effective than IGlar (dominant). Conversely, using lower event rates for severe hypoglycaemia generated higher ICERs. Using hypoglycaemia rates from a subgroup of patients who experienced ≥1 hypoglycaemic event per year IDeg was highly cost-effective versus IGlar; with estimated ICERS of £4887 and £2625 per QALY. CONCLUSIONS: This short-term modelling approach allows the economic evaluation of newer insulin analogues when advanced long-term modelling based on HbA1c differences is inappropriate. For patients with T2DM who are considered appropriate for treatment with a basal insulin analogue, IDeg is a cost-effective treatment option compared with IGlar and offers additional benefits to subgroups of patients, such as those suffering from recurrent hypoglycaemia.

Use of six main drug therapeutic groups across educational groups: self-reported survey and prescription records.

OBJECTIVES: To assess whether the use of six main therapeutic groups was congruent with the occurrence of related diseases across educational groups. METHODS: Two data sources were analysed: (i) Interview data from The Danish Health and Morbidity Survey 2000 on a representative sample of the Danish population ages 16 years and above (n = 16,690); (ii) Prescription records linked to a health survey on a representative sample of the population of Funen County 2000-2001 (n = 3,422). The use of six therapeutic main groups (ATC groups A, B, C, M, N and R) and related diseases in educational groups was analysed by indirect standardization. Age and gender standardized prevalence ratios (SPRs) and 95% confidence intervals were calculated on the basis of the total study population. RESULTS: In general, respondents in the two least educated groups used medicines more frequently and a higher proportion of them reported the related disease than could be expected from indirect standardization. The opposite picture appeared for respondents in the two highest educational groups (SPR < 100). The overall patterns were similar for the six medicine groups, although some of the SPRs were not significant. CONCLUSION: The results show the uneven distribution of disease in the general population. The distribution of medicine use generally followed this pattern, which means that those in the greatest medical need used the most medicine. Hence, individual co-payment for medicine did not seem to be a barrier to access to medicine in any of the educational groups.