Non-invasive prenatal test uptake in socioeconomically disadvantaged neighborhoods

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Objective: Non-Invasive Prenatal Testing (NIPT) is increasingly being implemented worldwide. In public health programs, equitable access to healthcare is a fundamental principle which also applies to fetal aneuploidy screening. However, the out-of-pocket costs of NIPT may lead to sociodemographic disparities in uptake of screening. This study assessed whether there is a difference in the uptake of NIPT in socioeconomically disadvantaged neighborhoods compared to all other neighborhoods in the Netherlands, where NIPT is implemented in a national screening program (TRIDENT-2 study). Method: NIPT uptake, postal code and age of 156,562 pregnant women who received pre-test counselling for prenatal screening in 2018 were retrieved from the national prenatal screening database. Postal codes were used as a proxy to categorize neighborhoods as being either socioeconomically disadvantaged or other. The out-of-pocket costs for NIPT were €175. Results: NIPT uptake in socioeconomically disadvantaged neighborhoods was 20.3% whereas uptake in all other neighborhoods was 47.6% (p < 0.001). The difference in NIPT uptake between socioeconomic disadvantaged neighborhoods and other areas was smaller for the youngest maternal age-group (≤25 years) compared to other age-groups. Conclusion: The variation in uptake suggest underlying disparities in NIPT uptake, which undermines the goals of a national fetal aneuploidy screening program of providing reproductive autonomy and equitable access. This has ethical and policy implications for ensuring fair and responsible implementation of fetal aneuploidy screening.

Original languageEnglish
Pages (from-to)1395-1400
Number of pages6
JournalPrenatal Diagnosis
Issue number11
Publication statusPublished - Oct 2021


  • Adult
  • Cross-Sectional Studies
  • Female
  • Humans
  • Netherlands
  • Noninvasive Prenatal Testing/methods
  • Pregnancy
  • Pregnant Women/psychology
  • Residence Characteristics/statistics & numerical data
  • Retrospective Studies
  • Social Class
  • Vulnerable Populations/psychology


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