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Cost-effectiveness analysis of chromosomal microarray as a primary test for prenatal diagnosis in Hong Kong
BACKGROUND: Chromosomal microarray (CMA) has been shown to be cost-effective over karyotyping in invasive prenatal diagnosis for pregnancies with fetal ultrasound anomalies. Yet, information regarding preceding and subsequent tests must be considered as a whole before the true cost-effectiveness can...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7023733/ https://www.ncbi.nlm.nih.gov/pubmed/32059709 http://dx.doi.org/10.1186/s12884-020-2772-y |
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author | Chung, Claudia Ching Yan Chan, Kelvin Yuen Kwong Hui, Pui Wah Au, Patrick Kwok Cheung Tam, Wai Keung Li, Samuel Kai Man Leung, Gordon Ka Chun Fung, Jasmine Lee Fong Chan, Marcus Chun Yin Luk, Ho Ming Mak, Annisa Shui Lam Leung, Kwok Yin Tang, Mary Hoi Yin Chung, Brian Hon Yin Kan, Anita Sik Yau |
author_facet | Chung, Claudia Ching Yan Chan, Kelvin Yuen Kwong Hui, Pui Wah Au, Patrick Kwok Cheung Tam, Wai Keung Li, Samuel Kai Man Leung, Gordon Ka Chun Fung, Jasmine Lee Fong Chan, Marcus Chun Yin Luk, Ho Ming Mak, Annisa Shui Lam Leung, Kwok Yin Tang, Mary Hoi Yin Chung, Brian Hon Yin Kan, Anita Sik Yau |
author_sort | Chung, Claudia Ching Yan |
collection | PubMed |
description | BACKGROUND: Chromosomal microarray (CMA) has been shown to be cost-effective over karyotyping in invasive prenatal diagnosis for pregnancies with fetal ultrasound anomalies. Yet, information regarding preceding and subsequent tests must be considered as a whole before the true cost-effectiveness can emerge. Currently in Hong Kong, karyotyping is offered free as the standard prenatal test while genome-wide array comparative genome hybridization (aCGH), a form of CMA, is self-financed. A new algorithm was proposed to use aCGH following quantitative fluorescent polymerase chain reaction (QF-PCR) as primary test instead of karyotyping. This study aims to evaluate the cost-effectiveness of the proposed algorithm versus the current algorithm for prenatal diagnosis in Hong Kong. METHODS: Between November 2014 and February 2016, 129 pregnant women who required invasive prenatal diagnosis at two public hospitals in Hong Kong were prospectively recruited. The proposed algorithm was performed for all participants in this demonstration study. For the cost-effectiveness analysis, cost and outcome (diagnostic rate) data were compared with that of a hypothetical scenario representing the current algorithm. Further analysis was performed to incorporate women’s willingness-to-pay for the aCGH test. Impact of government subsidies on the aCGH test was explored as a sensitivity analysis. RESULTS: The proposed algorithm dominated the current algorithm for prenatal diagnosis. Both algorithms were equally effective but the proposed algorithm was significantly cheaper (p ≤ 0.05). Taking into account women’s willingness-to-pay for an aCGH test, the proposed algorithm was more effective and less costly than the current algorithm. When the government subsidy reaches 100%, the maximum number of diagnoses could be made. CONCLUSION: By switching to the proposed algorithm, cost saving can be achieved whilst maximizing the diagnostic rate for invasive prenatal diagnosis. It is recommended to implement aCGH as a primary test following QF-PCR to replace the majority of karyotyping for prenatal diagnosis in Hong Kong. |
format | Online Article Text |
id | pubmed-7023733 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70237332020-02-20 Cost-effectiveness analysis of chromosomal microarray as a primary test for prenatal diagnosis in Hong Kong Chung, Claudia Ching Yan Chan, Kelvin Yuen Kwong Hui, Pui Wah Au, Patrick Kwok Cheung Tam, Wai Keung Li, Samuel Kai Man Leung, Gordon Ka Chun Fung, Jasmine Lee Fong Chan, Marcus Chun Yin Luk, Ho Ming Mak, Annisa Shui Lam Leung, Kwok Yin Tang, Mary Hoi Yin Chung, Brian Hon Yin Kan, Anita Sik Yau BMC Pregnancy Childbirth Research Article BACKGROUND: Chromosomal microarray (CMA) has been shown to be cost-effective over karyotyping in invasive prenatal diagnosis for pregnancies with fetal ultrasound anomalies. Yet, information regarding preceding and subsequent tests must be considered as a whole before the true cost-effectiveness can emerge. Currently in Hong Kong, karyotyping is offered free as the standard prenatal test while genome-wide array comparative genome hybridization (aCGH), a form of CMA, is self-financed. A new algorithm was proposed to use aCGH following quantitative fluorescent polymerase chain reaction (QF-PCR) as primary test instead of karyotyping. This study aims to evaluate the cost-effectiveness of the proposed algorithm versus the current algorithm for prenatal diagnosis in Hong Kong. METHODS: Between November 2014 and February 2016, 129 pregnant women who required invasive prenatal diagnosis at two public hospitals in Hong Kong were prospectively recruited. The proposed algorithm was performed for all participants in this demonstration study. For the cost-effectiveness analysis, cost and outcome (diagnostic rate) data were compared with that of a hypothetical scenario representing the current algorithm. Further analysis was performed to incorporate women’s willingness-to-pay for the aCGH test. Impact of government subsidies on the aCGH test was explored as a sensitivity analysis. RESULTS: The proposed algorithm dominated the current algorithm for prenatal diagnosis. Both algorithms were equally effective but the proposed algorithm was significantly cheaper (p ≤ 0.05). Taking into account women’s willingness-to-pay for an aCGH test, the proposed algorithm was more effective and less costly than the current algorithm. When the government subsidy reaches 100%, the maximum number of diagnoses could be made. CONCLUSION: By switching to the proposed algorithm, cost saving can be achieved whilst maximizing the diagnostic rate for invasive prenatal diagnosis. It is recommended to implement aCGH as a primary test following QF-PCR to replace the majority of karyotyping for prenatal diagnosis in Hong Kong. BioMed Central 2020-02-14 /pmc/articles/PMC7023733/ /pubmed/32059709 http://dx.doi.org/10.1186/s12884-020-2772-y Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Chung, Claudia Ching Yan Chan, Kelvin Yuen Kwong Hui, Pui Wah Au, Patrick Kwok Cheung Tam, Wai Keung Li, Samuel Kai Man Leung, Gordon Ka Chun Fung, Jasmine Lee Fong Chan, Marcus Chun Yin Luk, Ho Ming Mak, Annisa Shui Lam Leung, Kwok Yin Tang, Mary Hoi Yin Chung, Brian Hon Yin Kan, Anita Sik Yau Cost-effectiveness analysis of chromosomal microarray as a primary test for prenatal diagnosis in Hong Kong |
title | Cost-effectiveness analysis of chromosomal microarray as a primary test for prenatal diagnosis in Hong Kong |
title_full | Cost-effectiveness analysis of chromosomal microarray as a primary test for prenatal diagnosis in Hong Kong |
title_fullStr | Cost-effectiveness analysis of chromosomal microarray as a primary test for prenatal diagnosis in Hong Kong |
title_full_unstemmed | Cost-effectiveness analysis of chromosomal microarray as a primary test for prenatal diagnosis in Hong Kong |
title_short | Cost-effectiveness analysis of chromosomal microarray as a primary test for prenatal diagnosis in Hong Kong |
title_sort | cost-effectiveness analysis of chromosomal microarray as a primary test for prenatal diagnosis in hong kong |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7023733/ https://www.ncbi.nlm.nih.gov/pubmed/32059709 http://dx.doi.org/10.1186/s12884-020-2772-y |
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