Cost-effectiveness of ticagrelor in acute coronary syndromes

Cost-Effectiveness of Ticagrelor for Acute Coronary Disease to Prevent Cardiovascular Events in Three Hospitals in Indonesia

Background: Acute coronary syndromes (ACS) are life-threatening CVD associated with Indonesia's significant health and economic burdens. The study objective was to evaluate the cost-effectiveness of ticagrelor in reducing CV endpoint in the Indonesia setting. Methods: Markov model was used as a decision analysis to compare ticagrelor with clopidogrel. We constructed decision tree model included four health conditions (no additional events, non-fatal myocardial infarction, non-fatal stroke, and any cause death), The probability of each state and quality-adjusted life years were derived from the PLATO trial and Indonesia life table. The outcome's resource consumption and associated costs were collected from three hospitals (public, national referral, and private hospitals) in Indonesia. The study used 5 years and lifetime horizon and discounting rate of 3%. Results: The incremental QALYs and life-year gained (LYG) of ticagrelor in five years was 0.0410 and 0.0462, respectively; in a lifetime was 0.0828, and 0.0947, respectively. The ICER per QALY of ticagrelor versus clopidogrel in private, national referral, and public hospitals was USD 2390.276, USD 3813.638, USD 1278.361, respectively for five years; and USD 2471.392, USD 5453.987, USD 2343.269, respectively for a lifetime. The probability of ticagrelor to be cost-effective was about 66.6% on a five-year and 99.7% on a lifetime with WTP USD 3634. Conclusion: Compared to the clopidogrel, QALYs and life-year gained of use ticagrelor higher. The incremental cost-effectiveness ratio in five years and lifetime model showed under one-time GDP, it means the use of ticagrelor was vastly cost-effective and acceptable to apply in the Indonesian clinical setting.

Subcategorizing the Expected Value of Perfect Implementation to Identify When and Where to Invest in Implementation Initiatives

Purpose. Clinical practice variations and low implementation of effective and cost-effective health care technologies are a key challenge for health care systems and may lead to suboptimal treatment and health loss for patients. The purpose of this work was to subcategorize the expected value of perfect implementation (EVPIM) to enable estimation of the absolute and relative value of eliminating slow, low, and delayed implementation. Methods. Building on the EVPIM framework, this work defines EVPIM subcategories to estimate the expected value of eliminating slow, low, or delayed implementation. The work also shows how information on regional implementation patterns can be used to estimate the value of eliminating regional implementation variation. The application of this subcategorization is illustrated by a case study of the implementation of an antiplatelet therapy for the secondary prevention after myocardial infarction in Sweden. Incremental net benefit (INB) estimates are based on published cost-effectiveness assessments and a threshold of SEK 250,000 (£22,300) per quality-adjusted life year (QALY). Results. In the case study, slow, low, and delayed implementation was estimated to represent 22%, 34%, and 44% of the total population EVPIM (2941 QALYs or SEK 735 million), respectively. The value of eliminating implementation variation across health care regions was estimated to 39% of total EVPIM (1138 QALYs). Conclusion. Subcategorizing EVPIM estimates the absolute and relative value of eliminating different parts of suboptimal implementation. By doing so, this approach could help decision makers to identify which parts of suboptimal implementation are contributing most to total EVPIM and provide the basis for assessing the cost and benefit of implementation activities that may address these in future implementation of health care interventions.