Evidence map›Paper›PMID 27178707›Full record

Trial reportPatient education and counseling2016

Effects of a risk-based online mammography intervention on accuracy of perceived risk and mammography intentions.

Holli H Seitz, Laura Gibson, Christine Skubisz, Heather Forquer, Susan Mello, Marilyn M Schapira, Katrina Armstrong, Joseph N Cappella

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Patient education and counseling, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Pooled it
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  5. Recommendations on screening for breast cancer in women aged 40-74 years who are not at increased risk for breast cancer.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2018
    Guideline
  6. Pooled it
  7. Assessing Fear of Thyroid Cancer in the General U.S. Population: A Cross-Sectional Study.Thyroid : official journal of the American Thyroid Association · 2024
    Article
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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

8 authors.

Holli H SeitzAnnenberg School for Communication, University of Pennsylvania, 3620 Walnut Street, Philadelphia, PA, 19104, USA. Electronic address: hollihseitz@gmail.com.
Laura GibsonAnnenberg School for Communication, University of Pennsylvania, 3620 Walnut Street, Philadelphia, PA, 19104, USA. Electronic address: lgibson@asc.upenn.edu.
Christine SkubiszAnnenberg School for Communication, University of Pennsylvania, 3620 Walnut Street, Philadelphia, PA, 19104, USA. Electronic address: christine_skubisz@emerson.edu.
Heather ForquerAnnenberg School for Communication, University of Pennsylvania, 3620 Walnut Street, Philadelphia, PA, 19104, USA. Electronic address: heather.forquer@gmail.com.
Susan MelloAnnenberg School for Communication, University of Pennsylvania, 3620 Walnut Street, Philadelphia, PA, 19104, USA. Electronic address: s.mello@northeastern.edu.
Marilyn M SchapiraPerelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA 19104, USA; Center for Health Equity Research and Promotion, Crescenz VA Medical Center, Philadelphia, PA 19104, USA. Electronic address: mschap@mail.med.upenn.edu.
Katrina ArmstrongPerelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA 19104, USA. Electronic address: karmstrong6@mgh.harvard.edu.
Joseph N CappellaAnnenberg School for Communication, University of Pennsylvania, 3620 Walnut Street, Philadelphia, PA, 19104, USA. Electronic address: jcappella@asc.upenn.edu.

Funding

Penn Center for Innovation in Personalized Breast ScreeningU54CA163313 · NCI · UNIVERSITY OF PENNSYLVANIA · PI ARMSTRONG, KATRINA, SCHNALL, MITCHELL D. · 2011 to 2017
$7.4M
NCI NIH HHS U54 CA163313
6 · The paper itself

Abstract

objectiveThis experiment tested the effects of an individualized risk-based online mammography decision intervention. The intervention employs exemplification theory and the Elaboration Likelihood Model of persuasion to improve the match between breast cancer risk and mammography intentions.

methods2918 women ages 35-49 were stratified into two levels of 10-year breast cancer risk (<1.5%; ≥1.5%) then randomly assigned to one of eight conditions: two comparison conditions and six risk-based intervention conditions that varied according to a 2 (amount of content: brief vs. extended) x 3 (format: expository vs. untailored exemplar [example case] vs. tailored exemplar) design. Outcomes included mammography intentions and accuracy of perceived breast cancer risk.

resultsRisk-based intervention conditions improved the match between objective risk estimates and perceived risk, especially for high-numeracy women with a 10-year breast cancer risk ≤1.5%. For women with a risk≤1.5%, exemplars improved accuracy of perceived risk and all risk-based interventions increased intentions to wait until age 50 to screen.

conclusionA risk-based mammography intervention improved accuracy of perceived risk and the match between objective risk estimates and mammography intentions. PRACTICE IMPLICATIONS: Interventions could be applied in online or clinical settings to help women understand risk and make mammography decisions.

Indexed as

Decision Support TechniquesIntentionMammographyPatient Acceptance of Health CareAdultAgedBreast NeoplasmsDecision MakingEarly Detection of CancerFemaleHealth EducationHealth Knowledge, Attitudes, PracticeHumansInternetLikelihood FunctionsMiddle AgedCommunication interventionDecision aidMammographyNumeracyPerceived riskRisk communication

Identifiers

PMID27178707
PMCPMC5028247

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.