Cost-effectiveness and potential budget impact of non-pharmacological interventions for early management in prehypertensive people: an economic evaluation for China.

BACKGROUND: Non-pharmacological interventions (NPIs) could be considered in the early management of prehypertensive population. This study aimed to evaluate the potential cost-effectiveness of NPIs and the budget impact of implementing NPIs on prehypertensive population in China and provide evidence of chronic disease management innovation for decision-makers. METHODS: Five NPIs including usual care, lifestyle, strengthen exercise, relaxation, and diet therapy were selected based on the practice of hypertension management in China. A nine-state Markov model was constructed to evaluate the lifetime costs and health outcomes of five NPIs and a non-intervention group from the perspective of Chinese healthcare system. The effectiveness of NPIs was obtained from a published study. Parameters including transition probabilities, costs and utilities were extracted or calculated from published literature and open-access databases. Sensitivity analyses were conducted to test the uncertainty of all parameters. The impact of duration of intervention was considered in scenario analyses. A budget impact analysis (BIA) was conducted to evaluate the total cost and the medical cost saving of a hypothetical nationwide implementation of potential cost-effective NPI in prehypertensive people. Management strategies including focusing on patients with specific ages or different CVE risk levels, and different duration of implementation were taken into consideration. RESULTS: Strengthen exercise was the most cost-effective intervention with a probability of 78.1% under the given WTP threshold. Our results were sensitive to the cost of interventions, and the utility of prehypertension and hypertension. The duration of implementation had limited impact on the results. BIA results showed that the program cost was hefty and far more than the medical cost saving with the course of simulation time. Applying management strategies which focused on individual characteristics could largely reduce the program cost despite it remained higher than medical cost saving. CONCLUSIONS: Strengthen exercise was a potential NPI that can be considered in priority for early management in prehypertensive population. Although early management can acquire medical cost saving, the related program cost can be quite hefty. Precise strategies which may help reduce the cost of early management should be taken into consideration in program design.

Impact of Extrapolation Model Choices on the Structural Uncertainty in Economic Evaluations for Cancer Immunotherapy: A Case Study of Checkmate 067.

OBJECTIVES: The aim of this study was to compare the performance of different extrapolation modeling techniques and analyze their impact on structural uncertainties in the economic evaluations of cancer immunotherapy. METHODS: The individual patient data was reconstructed through published Checkmate 067 Kaplan Meier curves. Standard parametric models and six flexible techniques were tested, including fractional polynomial, restricted cubic splines, Royston-Parmar models, generalized additive models, parametric mixture models, and mixture cure models. Mean square errors (MSE) and bias from raw survival plots were used to test the model fitness and extrapolation performance. Variability of estimated incremental cost-effectiveness ratios (ICERs) from different models was used to inform the structural uncertainty in economic evaluations. All indicators were analyzed and compared under cut-offs of 3 years and 6.5 years, respectively, to further discuss model impact under different data maturity. R Codes for reproducing this study can be found on GitHub. RESULTS: The flexible techniques in general performed better than standard parametric models with smaller MSE irrespective of the data maturity. Survival outcomes projected by long-term extrapolation using immature data differed from those with mature data. Although a best-performing model was not found because several models had very similar MSE in this case, the variability of modeled ICERs significantly increased when prolonging simulation cycles. CONCLUSIONS: Flexible techniques show better performance in the case of Checkmate 067, regardless of data maturity. Model choices affect ICERs of cancer immunotherapy, especially when dealing with immature survival data. When researchers lack evidence to identify the 'right' model, we recommend identifying and revealing the model impacts on structural uncertainty.

Serplulimab Plus Chemotherapy vs Chemotherapy for Treatment of US and Chinese Patients with Extensive-Stage Small-Cell Lung Cancer: A Cost-Effectiveness Analysis to Inform Drug Pricing.

BACKGROUND: Serplulimab is a potential valuable therapy, while patients, physicians, and decision-makers are uncertain about the cost-effectiveness of this novel drug and its corresponding reasonable price. This study aimed to simulate the price at which serplulimab was cost-effective as first-line therapy for United States (US) and Chinese extensive-stage small-cell lung cancer (ES-SCLC) patients. METHODS: In this economic evaluation, a partitioned survival model was constructed from the perspective of US and Chinese payers. Baseline characteristics of patients and critical clinical data were obtained from ASTRUM-005. Costs and utilities were collected from open-access databases and published literature. Cumulative costs (in US dollars), life years, quality-adjusted life years (QALYs), and incremental cost-effectiveness ratios (ICERs) were measured and compared. Price simulation was conducted to inform the pricing strategy at the given willingness-to-pay (WTP) threshold. The robustness of the model was assessed via sensitivity analyses and scenario analyses; subgroup analyses were also included. RESULTS: Base-case analysis indicated that serplulimab ($818.16/100 mg) would be cost-effective in the US at the WTP threshold of $150,000, with improved effectiveness of 0.61 QALYs and an additional cost of $64,918 (ICER $106,757). Serplulimab ($818.16/100 mg, patient assistance program considered) was cost-effective in China, with improved effectiveness of 0.58 QALYs and an increased overall cost of $19,369 (ICER $33,392). The price simulation results indicated that serplulimab was favored in the US when the price was less than $762.11/100 mg and $1261.57/100 mg at the WTP threshold of $100,000 and $150,000, respectively; it was cost-effective at the WTP threshold of $38,184 when the price was less than $373.37/100 mg in China. Sensitivity analyses revealed that the above results were stable. Subgroup analysis results indicated an overall trend for subgroups with better survival advantages to have a higher probability of cost-effectiveness, despite serplulimab not being cost-effective in some subgroups. CONCLUSIONS: Serplulimab might be a valuable and cost-effective therapy in both the US and China. The evidence-based pricing strategy provided by this study could benefit decision-makers in making optimal decisions and clinicians in general clinical practice. More evidence about the budget impact and affordability for patients is needed.