Evidence map›Paper›PMID 21660870›Full record

ArticlePsychology & health2012

Modelling decisions to undergo genetic testing for susceptibility to common health conditions: an ancillary study of the Multiplex Initiative.

Christopher H Wade, Shoshana Shiloh, Samuel W Woolford, J Scott Roberts, Sharon Hensley Alford, Theresa M Marteau, Barbara B Biesecker

Abstract read
In one paragraph

Article in Psychology & health, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 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, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Preferences for the Return of Individual Results From Research on Pediatric Biobank Samples.Journal of empirical research on human research ethics : JERHRE · 2017
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  15. On averages and peaks: how do people integrate attitudes about multiple diseases to reach a decision about multiplex genetic testing?Medical decision making : an international journal of the Society for Medical Decision Making · 2013
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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

7 authors.

Christopher H WadeDepartment of Nursing and Health Studies, University of Washington Bothell, Bothell, WA, USA. cwade@uwb.edu
Shoshana Shiloh
Samuel W Woolford
J Scott Roberts
Sharon Hensley Alford
Theresa M Marteau
Barbara B Biesecker

Funding

The HMO Cancer Research Network (CRN)U19CA079689 · NCI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI WAGNER, EDWARD H · 1999 to 2011
$62.6M
Interventions in Genetic CounselingZIAHG200317 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI BIESECKER, BARBARA BOWLES · 2009 to 2018
$7.6M
Intramural NIH HHS Z99 HG999999Intramural NIH HHS Z99 HL999999Intramural NIH HHS Z99 MH999999NCI NIH HHS U19 CA079689NCI NIH HHS U19CA 079689NHGRI NIH HHS HHSN268200782096C
6 · The paper itself

Abstract

New genetic tests reveal risks for multiple conditions simultaneously, although little is understood about the psychological factors that affect testing uptake. We assessed a conceptual model called the multiplex genetic testing model (MGTM) using structural equation modelling. The MGTM delineates worry, perceived severity, perceived risk, response efficacy and attitudes towards testing as predictors of intentions and behaviour. Participants were 270 healthy insured adults aged 25-40 from the Multiplex Initiative conducted within a health care system in Detroit, MI, USA. Participants were offered a genetic test that assessed risk for eight common health conditions. Confirmatory factor analysis revealed that worry, perceived risk and severity clustered into two disease domains: cancer or metabolic conditions. Only perceived severity of metabolic conditions was correlated with general response efficacy (β = 0.13, p<0.05), which predicted general attitudes towards testing (β = 0.24, p<0.01). Consistent with our hypothesised model, attitudes towards testing were the strongest predictors of intentions to undergo testing (β = 0.49, p<0.01), which in turn predicted testing uptake (OR 17.7, β = 0.97, p<0.01). The MGTM explained a striking 48% of the variance in intentions and 94% of the variation in uptake. These findings support use of the MGTM to explain psychological predictors of testing for multiple health conditions.

Indexed as

Decision Support TechniquesGenetic TestingAdultAnxietyFemaleGenetic Predisposition to DiseaseHealth Knowledge, Attitudes, PracticeHumansMaleMetabolic DiseasesMultiplex Polymerase Chain ReactionNeoplasmsPatient Acceptance of Health Care

Identifiers

PMID21660870
PMCPMC3175306

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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.