Literature DB >> 19177342

Reporting Down syndrome screening results: women's understanding of risk.

Cate Nagle1, Ryan Hodges, Rory Wolfe, Euan M Wallace.   

Abstract

OBJECTIVES: To compare women's understanding of different methods of expressing Down syndrome risks.
METHODS: A self-administered structured questionnaire given to 311 English-speaking women postpartum, at three maternity units. Understanding of numeric risk expression was assessed by women identifying whether a specified risk was higher, lower or the same as another nominated risk, expressed as two percentages, as two ratios or one of each. Perceptions of a high-risk result were obtained using display rankings of percentages and ratios.
RESULTS: Response rate was 95% (294/311). Overall, women were poor comparing numeric risks whether expressed similarly (ratio vs. ratio or percentage vs. percentage) or not. When comparing similarly expressed risks, 66% (95% CI: 62-70%) of respondents were correct, considerably more than when asked to compare different risk expressions 30% (95% CI: 26-34%), P < 0.0001. Women were more tolerant of risk when expressed as a percentage than as a ratio (median high risk for percentage form was 5% (1:20) and for ratio form was 1:200 (0.5%).
CONCLUSIONS: Women's understanding of Down syndrome risk is dependent upon how risks are expressed. These findings may usefully direct how risk should be reported to women having prenatal screening for Down syndrome.

Entities:  

Mesh:

Year:  2009        PMID: 19177342     DOI: 10.1002/pd.2210

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


  5 in total

1.  Prenatal testing for Down syndrome: comparison of screening practices in the UK and USA.

Authors:  Dagmar Tapon
Journal:  J Genet Couns       Date:  2009-11-03       Impact factor: 2.537

2.  Impact of delivery models on understanding genomic risk for type 2 diabetes.

Authors:  S B Haga; W T Barry; R Mills; L Svetkey; S Suchindran; H F Willard; G S Ginsburg
Journal:  Public Health Genomics       Date:  2014-02-27       Impact factor: 2.000

3.  Continuity of midwifery care and gestational weight gain in obese women: a randomised controlled trial.

Authors:  Cate Nagle; Helen Skouteris; Anne Hotchin; Lauren Bruce; Denise Patterson; Glyn Teale
Journal:  BMC Public Health       Date:  2011-03-22       Impact factor: 3.295

4.  Does women's place of birth affect their opportunity for an informed choice about Down syndrome screening? A population-based study in France.

Authors:  Olivia Anselem; Marie-Josèphe Saurel-Cubizolles; Babak Khoshnood; Béatrice Blondel; Priscille Sauvegrain; Nathalie Bertille; Elie Azria
Journal:  BMC Pregnancy Childbirth       Date:  2021-08-30       Impact factor: 3.007

5.  Imprecision and Preferences in Interpretation of Verbal Probabilities in Health: a Systematic Review.

Authors:  Katerina Andreadis; Ethan Chan; Minha Park; Natalie C Benda; Mohit M Sharma; Michelle Demetres; Diana Delgado; Elizabeth Sigworth; Qingxia Chen; Andrew Liu; Lisa Grossman Liu; Marianne Sharko; Brian J Zikmund-Fisher; Jessica S Ancker
Journal:  J Gen Intern Med       Date:  2021-08-06       Impact factor: 5.128

  5 in total

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