Cost-Effectiveness of Bariatric Surgery in Patients Living with Obesity and Type 2 Diabetes.

Aims: The favourable effects of bariatric surgeries on body weight reduction and glucose control have been demonstrated in several studies. Additionally, the cost-effectiveness of bariatric surgeries has been confirmed in several analyses. The aim of the current analysis was to demonstrate the cost-effectiveness of bariatric surgeries in obese patients with type 2 diabetes in Hungary compared to conventional diabetes treatments based on economic modelling of published clinical trial results. Materials and Methods: Patients entered the simulation model at the age of 45 with body mass index (BMI) ≥ 30 kg/m2 and type 2 diabetes. The model was performed from the public payer's perspective, comparing sleeve gastrectomy (SG) and Roux-en-Y gastric bypass (RYGB) procedures to conventional care of diabetes. The results were provided separately for three BMI categories. Results: The base-case analysis demonstrated that both surgery types were dominant; i.e., they saved 17 064 to 24 384 Euro public payer expenditures and resulted in improved health outcomes (1.36 to 1.50 quality-adjusted life years gain (QALY)) in the three BMI categories. Bariatric surgeries extended the life expectancy and the disease-free survival times of all the investigated diabetes complications. All the scenario analyses confirmed the robustness of the base-case analysis, such that bariatric surgeries remained dominant compared to conventional diabetes treatments. Conclusion: The results of this cost-effectiveness analysis highlight the importance of bariatric surgeries as alternatives to conventional diabetes treatments in the obese population. Therefore, it is strongly recommended that a wider population has access to these surgeries in Hungary.

Shall We Screen Lung Cancer With Low-Dose Computed Tomography? Cost-Effectiveness in Hungary.

OBJECTIVES: Clinical data and cost-effectiveness analyses from several countries support the use of low-dose computed tomography (LDCT) to screen patients with high risk of lung cancer (LC). This study aimed to explore the economic value of screening LC with LDCT in Hungary. METHODS: Cohorts of screened and nonscreened subjects were simulated in a decision analytic model over their lifetime. Five steps in the patient trajectory were distinguished: no LC, nondiagnosed LC, screening, diagnosed LC, and post-treatment. Patient pathways were populated based on the Hungarian pilot study of screening, the Nederlands-Leuvens Longkanker Screenings Onderzoek (NELSON) LC screening trial, and local incidence and prevalence data. Healthcare costs were obtained from the National Health Insurance Fund. Utility data were obtained from international sources and adjusted to local tariffs. Scenarios according to screening frequency, age bands (50-74, 55-74 years), and smoking status were analyzed. RESULTS: Annual LDCT-based screening compared with no screening for 55- to 74-year-old current smokers showed 0.031 quality-adjusted life-year (QALY) gains for an additional €137, which yields €5707 per QALY. Biennial screening for the same target population showed that purchasing 1 QALY would cost €10 203. The least cost-effective case was biennial screening of the general population aged 50 to 74 years, which yielded €37 931 per QALY. CONCLUSIONS: Screening LC with LDCT for a high-risk population could be cost-effective in Hungary. For the introduction of screening with LDCT, targeting the most vulnerable groups while having a long-term approach on costs and benefits is essential.