EconPapers    
Economics at your fingertips  
 

What to expect from assisted reproductive technologies? Experts' forecasts for the next two decades

Ido Alon, José Guimón and Rosa Urbanos-Garrido

Technological Forecasting and Social Change, 2019, vol. 148, issue C

Abstract: In recent years, In-Vitro Fertilization (IVF), Pre-implantation Genetic Diagnosis (PGD) and genetic engineering (GE) have developed substantially, raising hopes but also concerns. Relying on a panel of experts, this article explores expected scenarios related to the evolution of Assisted Reproductive Technologies (ART), thus helping to ascertain which expectations might materialize over the next twenty years. We use the Delphi method, whereby forecasts are extracted from a survey, and combine it with in-depth interviews with experienced doctors and geneticists in Israel and Spain. Our results reveal prospects for an increase in birth rates per In-Vitro Fertilization (IVF) cycle, an improvement in treatment quality, and advances in reproductive genetics. Experts predict that within 20 years, 14-19% of births in their countries will result from IVF, among which 34-47% will involve PGD. However, they remain skeptic regarding the increase in the number of oocytes required for an expanded PGD, thus skeptic regarding inflated hopes or dystopian scenarios and indicating that GE by CRISPR/Cas could set the tone. We conclude that ART’s market development in the next two decades will continue to be mainly linked to growing infertility rates and improvement in outcomes, while reproductive genetics will advance but remain secondary.

Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162519300587
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:148:y:2019:i:c:s0040162519300587

DOI: 10.1016/j.techfore.2019.119722

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:tefoso:v:148:y:2019:i:c:s0040162519300587