Evidence map›Paper›PMID 25258015›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2014

Individual differences in aversion to ambiguity regarding medical tests and treatments: association with cancer screening cognitions.

Paul K J Han, Andrew E Williams, Amy Haskins, Caitlin Gutheil, F Lee Lucas, William M P Klein, Kathleen M Mazor

Open access · bronzeAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

21 citing papers in PubMed, 35 citations in OpenAlex.

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  11. Supporting Health and Medical Decision Making: Findings and Insights from Fuzzy-Trace Theory.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
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  14. Evidence that perceptions of and tolerance for medical ambiguity are distinct constructs: An analysis of nationally representative US data.Health expectations : an international journal of public participation in health care and health policy · 2020
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  15. Effects of Media Exposure to Conflicting Information About Mammography: Results From a Population-based Survey Experiment.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2019
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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 at 1 institution in 1 country.

Paul K J HanCenter for Outcomes Research and Evaluation, Maine Medical Center, Portland, Maine. hanp@mmc.org.
Andrew E WilliamsCenter for Outcomes Research and Evaluation, Maine Medical Center, Portland, Maine.
Amy HaskinsCenter for Outcomes Research and Evaluation, Maine Medical Center, Portland, Maine.
Caitlin GutheilCenter for Outcomes Research and Evaluation, Maine Medical Center, Portland, Maine.
F Lee LucasCenter for Outcomes Research and Evaluation, Maine Medical Center, Portland, Maine.
William M P KleinDivision of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.
Kathleen M MazorMeyers Primary Care Institute, University of Massachusetts Medical School, Worcester, Massachusetts.
National Cancer Institute · US

Funding

The HMO Cancer Research Network (CRN)U19CA079689 · NCI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI WAGNER, EDWARD H · 1999 to 2011
$62.6M
NCI NIH HHS U19 CA079689NCI NIH HHS U19CA079689
6 · The paper itself

Abstract

backgroundAversion to "ambiguity"-uncertainty about the reliability, credibility, or adequacy of information-about medical tests and treatments is an important psychological response that varies among individuals, but little is known about its nature and extent. The purpose of this study was to examine how individual-level ambiguity aversion relates to important health cognitions related to different cancer screening tests.

methodsA survey of 1,074 adults, ages 40 to 70 years, was conducted in four integrated U.S. healthcare systems. The Ambiguity Aversion in Medicine (AA-Med) scale, a measure of individual differences in aversion to ambiguity (AA) about medical tests and treatments, was administered along with measures of several cancer screening-related cognitions: perceived benefits and harms of colonoscopy, mammography, and PSA screening, and ambivalence and future intentions regarding these tests. Multivariable analyses were conducted to assess the associations between AA-Med scores and cancer screening cognitions.

resultsIndividual-level AA as assessed by the AA-Med scale was significantly associated (P < 0.05) with lower perceived benefits, greater perceived harms, and greater ambivalence about all three screening tests, and lower intentions for colonoscopy but not mammography or PSA screening.

conclusionIndividual-level AA is broadly and simultaneously associated with various pessimistic cognitive appraisals of multiple cancer screening tests. The breadth of these associations suggests that the influence of individual-level AA is insensitive to the degree and nonspecific with respect to the causes of ambiguity. IMPACT: Individual-level AA constitutes a measurable, wide-ranging cognitive bias against medical intervention, and more research is needed to elucidate its mechanisms and effects.

Indexed as

AdultAgedEarly Detection of CancerFemaleHumansMaleMiddle AgedNeoplasmsReproducibility of Results

Identifiers

PMID25258015
PMCPMC4257853
OpenAlexW2143417174

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.