Literature DB >> 23533095

Women and their partners' preferences for Down's syndrome screening tests: a discrete choice experiment.

Fran E Carroll1, Hareth Al-Janabi, Terry Flynn, Alan A Montgomery.   

Abstract

OBJECTIVES: This study aimed to determine quantitatively the attributes of such screening tests that couples placed most value on.
METHODS: A stated preference discrete choice experiment was conducted among a sample of pregnant women and their male partners. One four-level attribute (cost) and three two-level attributes (detection rate, gestation and time to wait for results) were used to generate eight hypothetical pairs of tests.
RESULTS: A total of 103 participants fully completed the questionnaire (63 women, 40 men). Overall, the sample was most concerned with test cost. However, latent class analysis showed three groups of participants whose concern for attributes differed, with cost, detection rate and delay in receiving results being the most important to each. Willingness to pay calculations showed that participants who were most concerned with detection rate were prepared to pay more than four times the amount than those most cost-sensitive would pay for the 'best test' option as compared with the 'worst test'.
CONCLUSIONS: Overall, couples were sensitive to the price of the screening test, but explicit subgroups are also shown that would pay large amounts for improvements in other attributes, particularly detection rates. This could provide important information to policymakers and practitioners in antenatal care, specifically in relation to the trade-offs made when couples decide about antenatal screening tests.
© 2013 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Year:  2013        PMID: 23533095     DOI: 10.1002/pd.4086

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


  18 in total

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Review 2.  Valuing Meta-Health Effects for Use in Economic Evaluations to Inform Reimbursement Decisions: A Review of the Evidence.

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Journal:  Pharmacoeconomics       Date:  2017-03       Impact factor: 4.981

3.  Using Latent Class Analysis to Model Preference Heterogeneity in Health: A Systematic Review.

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4.  A Hierarchical Bayes Approach to Modeling Heterogeneity in Discrete Choice Experiments: An Application to Public Preferences for Prenatal Screening.

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5.  Accounting for Scale Heterogeneity in Healthcare-Related Discrete Choice Experiments when Comparing Stated Preferences: A Systematic Review.

Authors:  Stuart J Wright; Caroline M Vass; Gene Sim; Michael Burton; Denzil G Fiebig; Katherine Payne
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8.  Examining Hepatitis C Virus Treatment Preference Heterogeneity Using Segmentation Analysis: Treat Now or Defer?

Authors:  Liana Fraenkel; Joseph Lim; Guadalupe Garcia-Tsao; Valerie Reyna; Alexander Monto
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9.  Variation in Treatment Priorities for Chronic Hepatitis C: A Latent Class Analysis.

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10.  Preferences for prenatal tests for Down syndrome: an international comparison of the views of pregnant women and health professionals.

Authors:  Melissa Hill; Jo-Ann Johnson; Sylvie Langlois; Hyun Lee; Stephanie Winsor; Brigid Dineley; Marisa Horniachek; Faustina Lalatta; Luisa Ronzoni; Angela N Barrett; Henna V Advani; Mahesh Choolani; Ron Rabinowitz; Eva Pajkrt; Rachèl V van Schendel; Lidewij Henneman; Wieke Rommers; Caterina M Bilardo; Paula Rendeiro; Maria João Ribeiro; José Rocha; Ida Charlotte Bay Lund; Olav B Petersen; Naja Becher; Ida Vogel; Vigdis Stefánsdottir; Sigrun Ingvarsdottir; Helga Gottfredsdottir; Stephen Morris; Lyn S Chitty
Journal:  Eur J Hum Genet       Date:  2015-11-18       Impact factor: 4.246

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