Genetic counselors' preferences for coverage of preimplantation genetic diagnosis: A discrete choice experiment

Clin Genet. 2019 Jun;95(6):684-692. doi: 10.1111/cge.13531. Epub 2019 Apr 2.

Abstract

Preimplantation genetic diagnosis (PGD) allows couples to test for a genetically affected embryo prior to implantation. Patient access to this ethically complex and expensive technology differs markedly across jurisdictions, with differences in private/public insurance coverage and variations in patient inclusion and diagnostic criteria. The objective of the study was to identify trade-offs regarding PGD coverage decisions amongst genetic counselors. To quantify stated preferences for PGD coverage, we conducted a discrete choice experiment with Canadian genetic counselors (GC) considering attributes regarding the scope of testing (PGD indication, risk of the condition and number of cycles covered) and patient inclusion criteria (fertility status and family history). Multinomial logit regression was used to estimate trade-offs amongst attributes using part-worth utilities and importance scores. The completed response rate was 41% with 126 GC completing the survey. Risk of the genetic condition was the most important attribute. Overall, GC were more responsive to the scope of testing criteria including the condition's risk (importance score of 42%) and PGD indication (31%) rather than family history (11%) and fertility status (8%). Based on this study's attributes and levels, condition characteristics are prioritized even above patient characteristics for PGD coverage.

Keywords: coverage; discrete choice experiment; genetic counselors; preferences; preimplantation genetic diagnosis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Canada
  • Costs and Cost Analysis
  • Data Interpretation, Statistical
  • Embryo, Mammalian
  • Female
  • Fertility
  • Fertilization in Vitro
  • Genetic Counseling*
  • Genotype
  • Humans
  • Insurance Coverage
  • Medical History Taking
  • Pregnancy
  • Preimplantation Diagnosis*
  • Regression Analysis
  • Risk Factors
  • Surveys and Questionnaires

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