Evidence map›Paper›PMID 25992887›Full record

ArticlePloS one2015

Public Opinions about Overdiagnosis: A National Community Survey.

Ray Moynihan, Brooke Nickel, Jolyn Hersch, Elaine Beller, Jenny Doust, Shane Compton, Alexandra Barratt, Lisa Bero, Kirsten McCaffery

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
19.5field-weighted citation impact, top 1% 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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 73 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Why Most Australians Consider It Valuable to Find Harmless Abnormalities with Diagnostic Tests: A Mixed-Methods Study.Medical decision making : an international journal of the Society for Medical Decision Making · 2026
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  17. Women's Acceptance of Overdetection in Breast Cancer Screening: Can We Assess Harm-Benefit Tradeoffs?Medical decision making : an international journal of the Society for Medical Decision Making · 2020
    Article
  18. Risk, Overdiagnosis and Ethical Justifications.Health care analysis : HCA : journal of health philosophy and policy · 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

9 authors at 2 institutions in 1 country.

Ray MoynihanCentre for Research in Evidence-Based Practice, Bond University, Robina, Queensland, Australia.
Brooke NickelSchool of Public Health, University of Sydney, Sydney, New South Wales, Australia.
Jolyn HerschSchool of Public Health, University of Sydney, Sydney, New South Wales, Australia.
Elaine BellerCentre for Research in Evidence-Based Practice, Bond University, Robina, Queensland, Australia.
Jenny DoustCentre for Research in Evidence-Based Practice, Bond University, Robina, Queensland, Australia.
Shane ComptonThe Social Research Centre, Melbourne, Victoria, Australia.
Alexandra BarrattSchool of Public Health, University of Sydney, Sydney, New South Wales, Australia.
Lisa BeroCharles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.
Kirsten McCafferySchool of Public Health, University of Sydney, Sydney, New South Wales, Australia.
University of Sydney · AUBond University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite evidence about the "modern epidemic" of overdiagnosis, and expanding disease definitions that medicalize more people, data are lacking on public views about these issues. Our objective was to measure public perceptions about overdiagnosis and views about financial ties of panels setting disease definitions.

methodsWe conducted a 15 minute Computer Assisted Telephone Interview with a randomly selected community sample of 500 Australians in January 2014. We iteratively developed and piloted a questionnaire, with a convenience sample (n=20), then with participants recruited by a research company (n=20). Questions included whether respondents had been informed about overdiagnosis; opinions on informing people; and views about financial ties among panels writing disease definitions.

findingsOur sample was generally representative, but included a higher proportion of females and seniors, typical of similar surveys. American Association for Public Opinion Research response rate was 20% and cooperation rate was 44%. Only 10% (95% CI 8%-13%) of people reported ever being told about overdiagnosis by a doctor. 18% (95% CI 11%-28%) of men who reported having prostate cancer screening, and 10% (95% CI 6%-15%) of women who reported having mammography said they were told about overdiagnosis. 93% (95% CI 90%-95%) agreed along with screening benefits, people should be informed about overdiagnosis. On panels setting disease definitions, 78% (95% CI 74%-82%) felt ties to pharmaceutical companies inappropriate, and 91% (95% CI 82%-100%) believed panels should have a minority or no members with ties. Limitations included questionnaire novelty and complexity.

conclusionsA small minority of Australians surveyed, including those reporting being screened for prostate or breast cancer, reported being informed of overdiagnosis; most believed people should be informed; and a majority felt it inappropriate that doctors with ties to pharmaceutical companies write disease definitions. Results suggest strategies to better inform people about overdiagnosis, and review disease definition processes, have significant public sympathy.

Indexed as

Attitude to HealthConflict of InterestPhysician's RolePublic OpinionAustraliaDrug IndustryFemaleHumansInterviews as TopicMaleMedical OveruseSurveys and Questionnaires

Identifiers

PMID25992887
PMCPMC4439083
OpenAlexW1829800009

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.