Literature DB >> 29096422

Noninvasive fetal RHD genotyping of RhD negative pregnant women for targeted anti-D therapy in Australia: A cost-effectiveness analysis.

Louisa G Gordon1,2, Catherine A Hyland3, Jonathan A Hyett4, Helen O'Brien3, Glenda Millard3, Robert L Flower3, Glenn J Gardener5.   

Abstract

OBJECTIVE: To undertake a cost-effectiveness analysis of noninvasive fetal RHD genotyping to target pregnant women for antenatal anti-D prophylaxis therapy.
METHOD: A decision-analytic model was constructed to compare RHD testing and targeted anti-D prophylaxis, with current universal anti-D prophylaxis among pregnant women with RhD negative blood type. Model estimates were derived from national perinatal statistics, published literature, donor program records, and national cost sources. One-way sensitivity analyses addressed the uncertainty of variables on the main findings.
RESULTS: The unit cost for RHD genotyping was estimated at AU$45.48 (US$31.84). The "mean cost per healthy baby" was AU$7495 (US$5247) for universal prophylaxis and AU$7471 (US$5230) for targeted prophylaxis. The findings were sensitive to the unit costs of anti-D 625 IU (AU$59-AU$88) (US$41-US$62), the genetic test (AU$36-AU$55) (US$25-US$39), and packaging/transport costs of the samples for testing (AU$15-AU$40, US$11-US$28 per sample). With RHD genotyping, 13 938 women would avoid antenatal anti-D prophylaxis at a total cost savings to the National Blood Authority of AU$2.1 million (US$1.5 million) per year. To the health system, net cost savings of AU$159 701 (US$111 791) per year (0.05%) were predicted for total health care costs.
CONCLUSIONS: Given the vulnerable supply of donor plasma and other health concerns, RHD genotyping is an economically sound option for Australia.
© 2017 John Wiley & Sons, Ltd.

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Year:  2017        PMID: 29096422     DOI: 10.1002/pd.5176

Source DB:  PubMed          Journal:  Prenat Diagn        ISSN: 0197-3851            Impact factor:   3.050


  2 in total

Review 1.  Noninvasive Fetal RhD Blood Group Genotyping: A Health Technology Assessment.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2020-11-02

2.  A hybrid simulation model approach to examine bacterial genome sequencing during a hospital outbreak.

Authors:  Thomas M Elliott; Xing J Lee; Anna Foeglein; Patrick N Harris; Louisa G Gordon
Journal:  BMC Infect Dis       Date:  2020-01-23       Impact factor: 3.090

  2 in total

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