Evidence map›Paper›PMID 25256188›Full record

ArticleBMJ open2014

Overdetection in breast cancer screening: development and preliminary evaluation of a decision aid.

Jolyn Hersch, Jesse Jansen, Alexandra Barratt, Les Irwig, Nehmat Houssami, Gemma Jacklyn, Hazel Thornton, Haryana Dhillon, Kirsten McCaffery

Abstract read
In one paragraph

Article in BMJ open, 2014. 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.

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  16. Beyond the mammography debate: a moderate perspective.Current oncology (Toronto, Ont.) · 2015
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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.

Jolyn HerschScreening & Test Evaluation Program (STEP) and Centre for Medical Psychology & Evidence-based Decision-making (CeMPED), School of Public Health, University of Sydney, Sydney, New South Wales, Australia.
Jesse JansenScreening & Test Evaluation Program (STEP) and Centre for Medical Psychology & Evidence-based Decision-making (CeMPED), School of Public Health, University of Sydney, Sydney, New South Wales, Australia.
Alexandra BarrattCentre for Medical Psychology & Evidence-based Decision-making (CeMPED), School of Public Health, University of Sydney, Sydney, New South Wales, Australia.
Les IrwigScreening & Test Evaluation Program (STEP), School of Public Health, University of Sydney, Sydney, New South Wales, Australia.
Nehmat HoussamiScreening & Test Evaluation Program (STEP), School of Public Health, University of Sydney, Sydney, New South Wales, Australia.
Gemma JacklynSchool of Public Health, University of Sydney, Sydney, New South Wales, Australia.
Hazel ThorntonDepartment of Health Sciences, University of Leicester, Leicester, UK.
Haryana DhillonCentre for Medical Psychology & Evidence-based Decision-making (CeMPED), Central Clinical School, University of Sydney, Sydney, New South Wales, Australia.
Kirsten McCafferyScreening & Test Evaluation Program (STEP) and Centre for Medical Psychology & Evidence-based Decision-making (CeMPED), School of Public Health, University of Sydney, Sydney, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop, pilot and refine a decision aid (ahead of a randomised trial evaluation) for women around age 50 facing their initial decision about whether to undergo mammography screening.

designTwo-stage mixed-method pilot study including qualitative interviews (n=15) and a randomised comparison using a quantitative survey (n=34).

settingNew South Wales, Australia.

participantsWomen aged 43-59 years with no personal history of breast cancer.

interventionsThe decision aid provides evidence-based information about important outcomes of mammography screening over 20 years (breast cancer mortality reduction, overdetection and false positives) compared with no screening. The information is presented in a short booklet for women, combining text and visual formats. A control version produced for the purposes of comparison omits the overdetection-related content. OUTCOMES: Comprehension of key decision aid content and acceptability of the materials.

resultsMost women considered the decision aid clear and helpful and would recommend it to others. Nonetheless, the piloting process raised important issues that we tried to address in iterative revisions. Some participants found it hard to understand overdetection and why it is of concern, while there was often confusion about the distinction between overdetection and false positives. In a screening context, encountering balanced information rather than persuasion appears to be contrary to people's expectations, but women appreciated the opportunity to become better informed.

conclusionsThe concept of overdetection is complex and new to the public. This study highlights some key challenges for communicating about this issue. It is important to clarify that overdetection differs from false positives in terms of its more serious consequences (overtreatment and associated harms). Screening decision aids also must clearly explain their purpose of facilitating informed choice. A staged approach to development and piloting of decision aids is recommended to further improve understanding of overdetection and support informed decision-making about screening.

Indexed as

Decision Support TechniquesAdultBreast NeoplasmsEarly Detection of CancerFalse Positive ReactionsFemaleHumansInterviews as TopicMammographyMiddle AgedPilot ProjectsQualitative ResearchPREVENTIVE MEDICINEPUBLIC HEALTHQUALITATIVE RESEARCH

Identifiers

PMID25256188
PMCPMC4179580

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.