Nationally Subsidized Continuous Glucose Monitoring: A Cost-effectiveness Analysis.

OBJECTIVE: The Continuous Glucose Monitoring (CGM) Initiative recently introduced universal subsidized CGM funding for people with type 1 diabetes under 21 years of age in Australia. We thus aimed to evaluate the cost-effectiveness of this CGM Initiative based on national implementation data and project the economic impact of extending the subsidy to all age-groups. RESEARCH DESIGN AND METHODS: We used a patient-level Markov model to simulate disease progression for young people with type 1 diabetes and compared government-subsidized access to CGM with the previous user-funded system. Three years of real-world clinical input data were sourced from analysis of the Australasian Diabetes Data Network and National Diabetes Services Scheme registries. Costs were considered from the Australian health care system's perspective. An annual discount rate of 5% was applied to future costs and outcomes. Uncertainty was evaluated with probabilistic and deterministic sensitivity analyses. RESULTS: Government-subsidized CGM funding for young people with type 1 diabetes compared with a completely user-funded model resulted in an incremental cost-effectiveness ratio (ICER) of AUD 39,518 per quality-adjusted life-year (QALY) gained. Most simulations (85%) were below the commonly accepted willingness-to-pay threshold of AUD 50,000 per QALY gained in Australia. Sensitivity analyses indicated that base-case results were robust, though strongly impacted by the cost of CGM devices. Extending the CGM Initiative throughout adulthood resulted in an ICER of AUD 34,890 per QALY gained. CONCLUSIONS: Providing subsidized access to CGM for people with type 1 diabetes was found to be cost-effective compared with a completely user-funded model in Australia.

The Cost of Control: Cost-effectiveness Analysis of Hybrid Closed-Loop Therapy in Youth.

OBJECTIVE: Hybrid closed-loop (HCL) therapy is an efficacious management strategy for young people with type 1 diabetes. However, high costs prevent equitable access. We thus sought to evaluate the cost-effectiveness of HCL therapy compared with current care among young people with type 1 diabetes in Australia. RESEARCH DESIGN AND METHODS: A patient-level Markov model was constructed to simulate disease progression for young people with type 1 diabetes using HCL therapy versus current care, with follow-up from 12 until 25 years of age. Downstream health and economic consequences were compared via decision analysis. Treatment effects and proportions using different technologies to define "current care" were based primarily on data from an Australian pediatric randomized controlled trial. Transition probabilities and utilities for health states were sourced from published studies. Costs were considered from the Australian health care system's perspective. An annual discount rate of 5% was applied to future costs and outcomes. Uncertainty was evaluated with probabilistic and deterministic sensitivity analyses. RESULTS: Use of HCL therapy resulted in an incremental cost-effectiveness ratio of Australian dollars (AUD) $32,789 per quality-adjusted life year (QALY) gained. The majority of simulations (93.3%) were below the commonly accepted willingness-to-pay threshold of AUD $50,000 per QALY gained in Australia. Sensitivity analyses indicated that the base-case results were robust. CONCLUSIONS: In this first cost-effectiveness analysis of HCL technologies for the management of young people with type 1 diabetes, HCL therapy was found to be cost-effective compared with current care in Australia.

Improvement in Psychosocial Outcomes in Children with Type 1 Diabetes and Their Parents Following Subsidy for Continuous Glucose Monitoring.

Background: In April 2017, the Australian Government announced the full subsidy of continuous glucose monitors (CGM) to children and young people <21 years with type 1 diabetes (T1D). This study aimed to evaluate the effect of CGM on psychosocial outcomes in a T1D pediatric population-based sample. Methods: Children with T1D, commencing CGM between June 2017 and January 2018, and their parents were recruited in a prospective cohort study in a tertiary pediatric hospital in Western Australia. Parents and children older than 12 years self-completed questionnaires at onset of CGM and 2 months later, on fear of hypoglycemia (FOH) and diabetes treatment satisfaction (DTS). Parents provided measures of sleep quality. Children completed the Gold hypoglycemia awareness score. Hemoglobin A1c (HbA1c) values were compared at baseline (BL) and follow-up (FU). Results: Sixty parents and 38 children provided measures at BL and FU. Parental total FOH decreased (mean score BL vs. FU; 50.0 vs. 44.3, P = 0.004) with reduction in the Worry subscore (28.2 vs. 24.2, P = 0.004). Furthermore, parental and child DTS increased. Parental sleep quality improved (P < 0.001) and overnight finger prick testing decreased (P < 0.001). Impaired hypoglycemic awareness decreased in children (26.3% vs. 10.5%, P = 0.031). HbA1c reduced from 8.4% (68 mmol/mol) to 8.1% (65 mmol/mol) (P = 0.036). Conclusions: Introduction of subsidized CGM showed early improvement in psychosocial and glycemic outcomes in patients and their families in Western Australia. Ongoing evaluation is essential to assess whether equitable access to CGM will translate to sustained benefits for Australian T1D pediatric patients.

Cost-effectiveness Analysis of Routine Screening Using Massively Parallel Sequencing for Maturity-Onset Diabetes of the Young in a Pediatric Diabetes Cohort: Reduced Health System Costs and Improved Patient Quality of Life.

OBJECTIVE: Maturity-onset diabetes of the young (MODY) is an autosomal dominant form of diabetes, with multiple causative genes. Some MODY subtypes can be treated with sulfonylureas instead of insulin, improving glycemic control, complication rates, quality of life (QoL), and costs. Using massively parallel sequencing (MPS), we recently determined the prevalence of pathogenic/likely pathogenic MODY variants in an Australian pediatric diabetes cohort. Here, these data are used to estimate cost-effectiveness of using MPS for MODY in all pediatric diabetes cases compared with standard practice (sequencing limited to individuals with specific clinical features). RESEARCH DESIGN AND METHODS: A Markov decision model was developed to estimate incremental costs and quality-adjusted life-years (QALYs) of MPS screening, modeled over 30 years. We used our observed prevalence of 2.14% compared with 0.7% for standard practice, based on published data. The probabilities and utility weightings of long-term diabetes complications were based on HbA1c and estimated from published data. A series of one-way sensitivity analyses were performed using the net monetary benefit framework. RESULTS: Routine MPS screening for MODY was more effective and less costly than standard care screening, with 26 QALYs gained and 1,016,000 AUD (782,000 USD) saved per 1,000 patients. Cost of screening was fully offset within 10 years. Routine MPS screening remained dominant until MODY prevalence fell to <1.1%. CONCLUSIONS: Routine MPS screening for MODY in the pediatric population with diabetes could reduce health system costs and improve patient QoL. Our results make a compelling argument for routine genetic screening in all children with presumed type 1 diabetes mellitus.

A cost-effectiveness analysis of sensor-augmented insulin pump therapy and automated insulin suspension versus standard pump therapy for hypoglycemic unaware patients with type 1 diabetes.

OBJECTIVE: To assess the cost-effectiveness of sensor-augmented insulin pump therapy with "Low Glucose Suspend" (LGS) functionality versus standard pump therapy with self-monitoring of blood glucose in patients with type 1 diabetes who have impaired awareness of hypoglycemia. METHODS: A clinical trial-based economic evaluation was performed in which the net costs and effectiveness of the two treatment modalities were calculated and expressed as an incremental cost-effectiveness ratio (ICER). The clinical outcome of interest for the evaluation was the rate of severe hypoglycemia in each arm of the LGS study. Quality-of-life utility scores were calculated using the three-level EuroQol five-dimensional questionnaire. Resource use costs were estimated using public sources. RESULTS: After 6 months, the use of sensor-augmented insulin pump therapy with LGS significantly reduced the incidence of severe hypoglycemia compared with standard pump therapy (incident rate difference 1.85 [0.17-3.53]; P = 0.037). Based on a primary randomized study, the ICER per severe hypoglycemic event avoided was $18,257 for all patients and $14,944 for those aged 12 years and older. Including all major medical resource costs (e.g., hospital admissions), the ICERs were $17,602 and $14,289, respectively. Over the 6-month period, the cost per quality-adjusted life-year gained was $40,803 for patients aged 12 years and older. CONCLUSIONS: Based on the Australian experience evaluating new interventions across a broad range of therapeutic areas, sensor-augmented insulin pump therapy with LGS may be considered a cost-effective alternative to standard pump therapy with self-monitoring of blood glucose in hypoglycemia unaware patients with type 1 diabetes.

Independent effects of socioeconomic status and place of residence on the incidence of childhood type 1 diabetes in Western Australia.

OBJECTIVE: To analyze the incidence of type 1 diabetes in 0- to 14-year olds in Western Australia, from 1985 to 2002, by region and socioeconomic status. METHODS: Primary case ascertainment was from the prospective population-based Western Australian Diabetes Register, and secondary case ascertainment was from the Western Australian Hospital Morbidity Data System. The address at diagnosis was used to categorize cases into urban, rural and remote areas and into five socioeconomic groups using the Index of Relative Socioeconomic Disadvantage. Denominator data were obtained from the Australian Bureau of Statistics. Poisson regression was used to analyze the incidence rates by area and socioeconomic status. RESULTS: There were a total of 1143 cases (904 urban, 190 rural and 49 remote). Case ascertainment was estimated to be 99.8% complete. The mean annual age-standardized incidence from 1985 to 2002 was 18.1 per 100,000 person years in urban (95% CI: 16.3-19.9), 14.3 per 100,000 in rural (95% CI: 11.4-7.3) and 8.0 per 100,000 in remote areas (95% CI: 5.8-10.3). The incidence was significantly higher in urban compared with rural (rate ratio 1.27, p = 0.001) and remote (rate ratio 2.28, p < 0.001) areas. The incidence increased with higher socioeconomic status. The incidence in the highest socioeconomic group was 56% greater than the lowest socioeconomic group (rate ratio 1.56, p < 0.001). These differences in incidence by socioeconomic status and region were independent of each other. CONCLUSIONS: Higher socioeconomic status and residence in the urban area are independently associated with an increased risk of childhood type 1 diabetes in Western Australia.