Cost-effectiveness of olaparib as a maintenance treatment for women with newly diagnosed advanced ovarian cancer and BRCA1/2 mutations in the United States.

OBJECTIVE: This study evaluated the cost-effectiveness of olaparib monotherapy in the first-line maintenance setting vs. surveillance in women with newly diagnosed advanced ovarian cancer and a BRCA1/2 mutation from a US third-party payer perspective. METHODS: A three-state (progression free, progressed disease, and death) partitioned survival model over a 50-year lifetime horizon was developed. Piecewise models were applied to data from the phase III trial SOLO1 to extrapolate survival outcomes. Health state utilities and adverse event disutilities were obtained from literature and SOLO1. Treatment costs, adverse event costs, and medical costs associated with health states were obtained from publicly available databases, SOLO1, and real-world data. Time on treatment was estimated using the data from SOLO1. Incremental costs per quality-adjusted life year (QALY) and life year (LY) gained were estimated. One-way deterministic and probabilistic sensitivity analyses were conducted. RESULTS: Over a lifetime horizon, olaparib was associated with an additional 3.63 LYs and 2.93 QALYs, and an incremental total cost of $152,545 vs. surveillance. Incremental cost per LY gained and per QALY gained for olaparib were $42,032 and $51,986, respectively. The incremental cost-effectiveness ratios remained below $100,000 across a range of inputs and scenarios. In the PSA, the probability of olaparib being cost-effective at a $100,000 per QALY threshold was 99%. CONCLUSIONS: Compared to surveillance, olaparib increases both the LYs and QALYs of women with newly diagnosed advanced ovarian cancer and with a germline or somatic BRCA mutation. Olaparib offers a cost-effective maintenance option for these women from a US third-party payer perspective.

A Critical Appraisal and Recommendations for Cost-Effectiveness Studies of Poly(ADP-Ribose) Polymerase Inhibitors in Advanced Ovarian Cancer.

BACKGROUND: Ovarian cancer is the fifth leading cause of cancer death in women in the US. With poly(ADP-ribose) polymerase (PARP) inhibitors having shown promising results in ongoing trials, there is interest in better understanding their economic value. OBJECTIVE: This study aimed to review and evaluate the quality of published cost-effectiveness analyses (CEAs), and provide recommendations for CEAs in this setting. METHODS: A systematic literature review of the MEDLINE and EMBASE databases was conducted in June 2019 to identify CEAs of PARP inhibitors in treating advanced ovarian cancer from peer-reviewed journals and conferences. Key information from the identified publications were extracted and reviewed. The quality of full-text studies was assessed using the Quality of Health Economic Studies instrument. Recommendations for future CEAs were developed based on the findings from the literature review. RESULTS: Eighteen CEAs (five in full texts) met the inclusion criteria. Most adopted a US healthcare or societal perspective. The majority of the studies did not clearly display the economic model structure. No studies reported the validation of model projections based on internal or external data. Surrogate outcomes such as incremental costs per progression-free life-year gained were the most common outcomes reported. The majority of studies drew their conclusions based on surrogate outcomes, even with no theoretical or empirical threshold for cost effectiveness. All five full-text studies included some type of sensitivity or scenario analyses. The key drivers of the incremental cost-effectiveness ratio were treatment duration, effects, and costs, health utility, and prevalence of BRCA mutations. CONCLUSION: In the existing CEAs for PARP inhibitors, there were uncertainties and challenges leading to variation in quality. We provided recommendations to improve consistency and quality of CEAs in this setting, which will help to better understand the value of PARP inhibitors, improve decision making, and reduce potential misallocation of resources.