Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/117350
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Type: Journal article
Title: Cost-effectiveness modelling of IVF in couples with unexplained infertility
Author: Pham, C.
Karnon, J.
Norman, R.
Mol, B.
Citation: Reproductive BioMedicine Online, 2018; 37(5):555-563
Publisher: Elsevier
Issue Date: 2018
ISSN: 1472-6483
1472-6491
Statement of
Responsibility: 
Clarabelle T Pham, Jonathan D Karnon, Robert J Norman, Ben W Mol
Abstract: Research Question: Does delaying IVF for 6 months in couples with unexplained infertility, compared with immediate IVF treatment, decrease the cost of IVF without compromising success rates? Design: Decision modelling was used to evaluate the cost and outcomes of immediate IVF versus delayed IVF for a cohort of women aged <40 years suffering unexplained infertility. Australian data and costs were used in the analysis. For different age groups, three scenarios were tested where 10%, 50% and 90% of couples with unexplained infertility delayed IVF for 6 months if they had a good prognosis for natural conception. The study included a total of 8781 couples aged <40 years, diagnosed with unexplained infertility and who had IVF in 2013. Results: The studied couples underwent 27,648 fresh and frozen embryo transfers, for an estimated total cost of $141 million. Potential out-of-pocket cost savings if 90% of couples delayed IVF ranged from $4.7 to $12.2 million, with Medicare cost savings of up to $15.1 million. The impact on the total pregnancy and live birth rates after 18 months was minimal. Conclusions: In couples with unexplained infertility and a good prognosis for natural conception, delaying IVF for 6 months could substantially decrease out-of-pocket costs without compromising pregnancy and live birth rates over an 18-month period.
Keywords: Costs and cost analysis; decision trees; IVF, live birth; pregnancy; unexplained infertility
Rights: © 2018 Reproductive Healthcare Ltd. Published by Elsevier Ltd. All rights reserved.
RMID: 0030100947
DOI: 10.1016/j.rbmo.2018.08.024
Grant ID: http://purl.org/au-research/grants/nhmrc/1082548
Appears in Collections:Public Health publications

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