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ORIGINAL RESEARCH article
Front. Public Health
Sec. Health Economics
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1535381
This article is part of the Research Topic Multilevel Medical Security Systems and Big Data in Healthcare: Trends and Developments, Volume II View all 14 articles
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Background: Recent advancements in high-throughput sequencing have validated the accuracy, safety, and effectiveness of non-invasive prenatal testing (NIPT) for Down syndrome (DS). Methods: This study aims to assess the effectiveness and economic implications of NIPT versus secondtrimester serum screening (STSS) for DS and the different screening strategies through retrospectively analyzing data from 140,472 pregnant women who completed both NIPT and STSS (provided for free by local public welfare programs) between March 1, 2018 and December 31, 2020. Data were categorized into eight groups based on different screening strategies. Results: The sensitivity, specificity, and positive predictive value of NIPT for detecting trisomy 21 were significantly higher compared with those of STSS. The universal NIPT screening strategy demonstrated the best effectiveness, detecting 163 DS cases with the highest net benefit and a costeffectiveness ratio of 1:9.53. The STSS and NIPT combined screening strategy detected 128 DS cases with the lowest cost-effectiveness at RMB 341,800. The incremental cost-effectiveness ratio of the universal NIPT screening strategy was RMB 1,186,200, significantly lower than the socioeconomic burden associated with a DS case. Conclusions: NIPT demonstrated significantly superior testing performance compared to STSS. At a unit cost of RMB 600, the universal NIPT screening strategy is the most effective and holds substantial health economic value.
Keywords: Prenatal Diagnosis, Health Economics, Health Policy, Non-invasive prenatal testing (NIPT), Down Syndrome
Received: 27 Nov 2024; Accepted: 07 Apr 2025.
Copyright: © 2025 Liu, Wang, Zhou, Ma, Hu, Huang, Linpeng, Lin, Hong, Fu, Peng, Zhao, Wang and He. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Lijian Zhao, Beijing Genomics Institute (BGI), Shenzhen, 518083, China
Nan Wang, School of Public Administration, Hunan University, Changsha, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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