Assessing hypothetical scenario methodology in genetic susceptibility testing analog studies: a quantitative review
Open accessAbstract
Hypothetical scenario methodology is commonly employed in the study of genetic susceptibility testing uptake estimation. The methodology, however, has not been rigorously assessed and sizeable gaps exist between estimated and actual uptake for tests that have recently become available. This quantitative review explores the effect of several theoretically based factors on genetic test uptake accuracy among a sample of 38 articles. These factors include verbal immediacy and temporal proximity of test scenarios, method of decision assessment, content of testing detail provided, processing demand required, and study features related to administration and sample. A number of assessed factors influenced uptake accuracy. Among these, temporal proximity of the genetic susceptibility test appeared to be the most consistent. There was also some evidence for effects of verbal immediacy and decision-assessment method on interest in testing. We recommend strategies for increasing accuracy using hypothetical scenario methodology to examine genetic susceptibility test uptake prediction.
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Attention to features such as verbal immediacy, temporal proximity, level of detail, format of response options, and cognitive demand may help improve predictive accuracy of hypothetical scenarios, and constructing hypotheticals in second-person as opposed to third-person language matters, as does eliciting "should" as opposed to "would" responses.
“Attention to features such as verbal immediacy, temporal proximity, level of detail, format of response options, and cognitive demand may help improve predictive accuracy (108). Similar to the difference between asking about preference and asking about acceptability, constructing hypotheticals in second-person as opposed to third-person language matters, as does eliciting “should” as opposed to “”
From Lessons from HeLa Cells: The Ethics and Policy of Biospecimens (2016) · cites this paper as [108]
The use of hypothetical scenarios has disadvantages but also important advantages as a practical, flexible, and efficient way to study complex ethical concerns, and in the face of emerging issues, they can be used to anticipate public reactions, manipulate key contextual variables, and contribute to the development of evidence-based interventions to preempt adverse outcomes.
“The use of hypothetical scenarios—like all methodologies—has disadvantages, but it also has important advantages as a practical, flexible, and efficient way to study complex ethical concerns (142). In the face of emerging issues, hypothetical scenarios can be used to anticipate public reactions, manipulate key contextual variables, and contribute to the development of evidence-based interventions”
From Lessons from HeLa Cells: The Ethics and Policy of Biospecimens (2016) · cites this paper as [108]
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“Attention to features such as verbal immediacy, temporal proximity, level of detail, format of response options, and cognitive demand may help improve predictive accuracy (108).”
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- Authors
- Persky, S., Kaphingst, K. A., Condit, C. M., & McBride, C. M.
- Affiliations
- National Institutes of Health (US)
- National Human Genome Research Institute (US)
- University of Georgia (US)
- Corresponding author
- Persky, Susan
- Venue
- Genetics in Medicine
- Publisher
- Elsevier BV
- Published
- 2007-11
- Volume
- 9
- Issue
- 11
- Pages
- 727-738
- ISSN
- 1098-3600 (ISSN-L)
- PMC
- PMC9942866
- OpenAlex
- W2017609724
- Cited by
- 91
- References
- 58
- Citations by year
- 2026: 4 · 2025: 1 · 2024: 4 · 2023: 4 · 2022: 4 · 2021: 3 · 2020: 6 · 2019: 6 · 2018: 3 · 2017: 6 · 2016: 7 · 2015: 6 · 2014: 4 · 2013: 8 · 2012: 2
- FWCI
- 0.45
- Type
- journal article
- Language
- en
- Update notices
- erratum (2007-12-01)
- Open access
- bronze
- doi.org
- Licence
- Locations
- Genetics in Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (Z99 HG999999)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › BRCA gene mutations in cancer
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Health Sciences › Health Professions › General Health Professions › Patient-Provider Communication in Healthcare
- Keywords
- genetic susceptibility testing, temporal proximity, verbal immediacy, processing demands
- MeSH terms
- Genetic Testing, Humans, Genetic Predisposition to Disease
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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