Evidence map›Paper›PMID 30271127›Full record

ArticlePatient preference and adherence2018

Women's preferences, willingness-to-pay, and predicted uptake for single-nucleotide polymorphism gene testing to guide personalized breast cancer screening strategies: a discrete choice experiment.

Xin Yi Wong, Catharina Gm Groothuis-Oudshoorn, Chuen Seng Tan, Janine A van Til, Mikael Hartman, Kok Joon Chong, Maarten J IJzerman, Hwee-Lin Wee

Abstract read
In one paragraph

Article in Patient preference and adherence, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 6 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Pooled it
  5. Preferences for Genetic Testing to Predict the Risk of Developing Hereditary Cancer: A Systematic Review of Discrete Choice Experiments.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
    Pooled it
  6. Pooled it
  7. Article
  8. How is Value Defined in Molecular Testing in Cancer? A Scoping Review.Applied health economics and health policy · 2025
    Article
  9. Article
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  15. Genetic Testing for Cancer Risk: Is the Community Willing to Pay for It?International journal of environmental research and public health · 2021
    Article
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Xin Yi WongDepartment of Pharmacy, Faculty of Science, National University of Singapore, Singapore, Republic of Singapore, weehweelin@nus.edu.sg.
Catharina Gm Groothuis-OudshoornDepartment of Health Technology and Services Research, Faculty of Behavioural, Management and Social Sciences, Technical Medical Centre, University of Twente, Enschede, The Netherlands.
Chuen Seng TanSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Republic of Singapore, weehweelin@nus.edu.sg.
Janine A van TilDepartment of Health Technology and Services Research, Faculty of Behavioural, Management and Social Sciences, Technical Medical Centre, University of Twente, Enschede, The Netherlands.
Mikael HartmanSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Republic of Singapore, weehweelin@nus.edu.sg.
Kok Joon ChongDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore.
Maarten J IJzermanDepartment of Health Technology and Services Research, Faculty of Behavioural, Management and Social Sciences, Technical Medical Centre, University of Twente, Enschede, The Netherlands.
Hwee-Lin WeeDepartment of Pharmacy, Faculty of Science, National University of Singapore, Singapore, Republic of Singapore, weehweelin@nus.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSingle-nucleotide polymorphism (SNP) gene test is a potential tool for improving the accuracy of breast cancer risk prediction. We seek to measure women's preferences and marginal willingness-to-pay (mWTP) for this new technology. MATERIALS AND

methodsWe administered a discrete choice experiment (DCE) to English-speaking Singaporean women aged 40-69 years without any history of breast cancer, enrolled via door-to-door recruitment with quota sampling by age and ethnicity. DCE attributes comprise: 1) sample type (buccal swab and dried blood spot), 2) person conducting pretest discussion (specialist doctor, non-specialist doctor, and nurse educator), 3) test location (private family clinic, public primary-care clinic, and hospital), and 4) out-of-pocket cost (S$50, S$175, and S$300). Mixed logit model was used to estimate the effect of attribute levels on women's preferences and mWTP. Interactions between significant attributes and respondent characteristics were investigated. Predicted uptake rates for various gene testing scenarios were studied.

resultsA total of 300 women aged 52.6±7.6 years completed the survey (100 Chinese, Malay, and Indian women, respectively). Sample type (

conclusionSNP gene testing may be tailored according to individual preferences to encourage uptake. Future research should focus on outcomes and cost-effectiveness of personalized breast cancer screening using SNP gene testing.

Indexed as

discrete choice experimentgene testingpersonalized breast cancer screeningprecision medicinepredicted uptakesingle-nucleotide polymorphismswillingness-to-paywomen’s preferences

Identifiers

PMID30271127
PMCPMC6154732

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.