A cost‐effectiveness analysis of preimplantation genetic testing for aneuploidy (PGT‐A) for up to three complete assisted reproductive technology cycles in women of advanced maternal age

Current evidence suggests that preimplantation genetic testing for aneuploidy (PGT-A) used during assisted reproductive technology improves per-cycle live-birth rates but cumulative live-birth rate (CLBR) was similar to a strategy of morphological assessment (MA) of embryos. No study has assessed the cost-effectiveness of repeated cycles with PGT-A using longitudinal patient-level data.To assess the cost-effectiveness of repeated cycles with PGT-A compared to MA of embryos in older women.Micro-costing methods were used to value direct resource consumption of 2093 assisted reproductive technology-naïve women aged ≥37 years undergoing up to three 'complete assisted reproductive technology cycles' (fresh plus cryopreserved embryos) with either PGT-A or MA in an Australian clinic between 2011 and 2014. Incremental cost-effective ratios were calculated from healthcare and patient perspectives with uncertainty assessed using non-parametric bootstrap methods. Cost-effectiveness acceptability curves were constructed to evaluate the probability of PGT-A being cost-effective over a range of willingness-to-pay thresholds.The CLBR and mean healthcare costs per patient were 30.90% and $22 962 for the PGT-A group, and 26.77% and $21 801 for the MA group, yielding an incremental cost-effective ratio of $28 103 for an additional live birth with PGT-A. At a willingness-to-pay threshold of $50 000 and above, there is more than an 80% probability of PGT-A being cost-effective from the healthcare perspective and a 50% likelihood from a patient perspective.This is the first study to use real-world patient-level data to assess the cost-effectiveness of PGT-A in older women from the healthcare and patient perspectives. The findings contribute to the ongoing debate on the role of PGT-A in clinical practice.