Evidence map›Paper›PMID 23128581›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2013

On averages and peaks: how do people integrate attitudes about multiple diseases to reach a decision about multiplex genetic testing?

Shoshana Shiloh, Christopher H Wade, J Scott Roberts, Sharon Hensley Alford, Barbara B Biesecker

Abstract read
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
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

5 authors at 5 institutions in 2 countries.

Shoshana ShilohSchool of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel (SS)
Christopher H WadeDepartment of Nursing, University of Washington Bothell, Bothell, WA, USA (CHW)
J Scott RobertsDepartment of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI, USA (JSB)
Sharon Hensley AlfordDepartment of Biostatistics and Research Epidemiology, Henry Ford Health System, Detroit, MI, USA (SHA)
Barbara B BieseckerSocial & Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA (BBB)
Henry Ford Health System · USNational Institutes of Health · USTel Aviv University · ILUniversity of Michigan–Ann Arbor · USUniversity of Washington Bothell · 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
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

backgroundThe aim of the current study was to learn how people integrate attitudes about multiple health conditions to make a decision about genetic testing uptake.

methodsThis study recruited 294 healthy young adults from a parent research project, the Multiplex Initiative, conducted in a large health care system in Detroit, Michigan. All participants were offered a multiplex genetic test that assessed risk for 8 common health conditions (e.g., type 2 diabetes). Data were collected from a baseline survey, a web-based survey, and at the time of testing.

resultsAveraging attitudes across diseases predicted test uptake but did not contribute beyond peak attitudes, the highest attitude toward testing for a single disease in the set. Peak attitudes were found sufficient to predict test uptake. LIMITATIONS: The effects of set size and mode of presentation could not be examined because these factors were constant in the multiplex test offered.

conclusionsThese findings support theories suggesting that people use representative evaluations in attitude formation. The implication of these findings for further developments in genetic testing is that the communication and impact of multiplex testing may need to be considered in the light of a bias toward peak attitudes.

Indexed as

Attitude to HealthDecision MakingGenetic TestingAdultHumansMichigan

Identifiers

PMID23128581
PMCPMC3799841
OpenAlexW2015382597

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.