Evidence map›Paper›PMID 19250148›Full record

ArticleHealth expectations : an international journal of public participation in health care and health policy2009

Conceptual problems in laypersons' understanding of individualized cancer risk: a qualitative study.

Paul K J Han, Thomas C Lehman, Holly Massett, Simon J C Lee, William M P Klein, Andrew N Freedman

Abstract read
In one paragraph

Article in Health expectations : an international journal of public participation in health care and health policy, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  6. Bridging the ICT Revolution and Communication Inequality: Lessons for Cancer Survivors.Asian Pacific journal of cancer prevention : APJCP · 2023
    Article
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  9. Translating Cancer Risk Prediction Models into Personalized Cancer Risk Assessment Tools: Stumbling Blocks and Strategies for Success.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
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  12. Review
  13. "To know or not to know…?" Push and pull in ever smokers lung screening uptake decision-making intentions.Health expectations : an international journal of public participation in health care and health policy · 2019
    Article
  14. Article
  15. Article
  16. Incorporating cancer risk information into general practice: a qualitative study using focus groups with health professionals.The British journal of general practice : the journal of the Royal College of General Practitioners · 2017
    Article
  17. GPs' perceptions and experiences of public awareness campaigns for cancer: a qualitative enquiry.Health expectations : an international journal of public participation in health care and health policy · 2016
    Article
  18. Laypersons' views of material incentives for enhancing colorectal cancer screening.Health expectations : an international journal of public participation in health care and health policy · 2015
    Article
  19. Article
  20. Article
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

6 authors.

Paul K J HanDivision of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA. hanp@mail.nih.gov
Thomas C Lehman
Holly Massett
Simon J C Lee
William M P Klein
Andrew N Freedman

Funding

Intramural NIH HHS Z99 HG999999
6 · The paper itself

Abstract

objectiveTo explore laypersons' understanding of individualized cancer risk estimates, and to identify conceptual problems that may limit this understanding.

backgroundRisk prediction models are increasingly used to provide people with information about their individual risk of cancer and other diseases. However, laypersons may have difficulty understanding individualized risk information, because of conceptual as well as computational problems.

designA qualitative study was conducted using focus groups. Semi-structured interviews explored participants' understandings of the concept of risk, and their interpretations of a hypothetical individualized colorectal cancer risk estimate. SETTING AND

participantsEight focus groups were conducted with 48 adults aged 50-74 years residing in two major US metropolitan areas. Participants had high school or greater education, some familiarity with information technology, and no personal or family history of cancer.

resultsSeveral important conceptual problems were identified. Most participants thought of risk not as a neutral statistical concept, but as signifying danger and emotional threat, and viewed cancer risk in terms of concrete risk factors rather than mathematical probabilities. Participants had difficulty acknowledging uncertainty implicit to the concept of risk, and judging the numerical significance of individualized risk estimates. The most challenging conceptual problems related to conflict between subjective and objective understandings of risk, and difficulties translating aggregate-level objective risk estimates to the individual level.

conclusionsSeveral conceptual problems limit laypersons' understanding of individualized cancer risk information. These problems have implications for future research on health numeracy, and for the application of risk prediction models in clinical and public health settings.

Indexed as

Health EducationHealth Knowledge, Attitudes, PracticeRisk AssessmentAgedColonic NeoplasmsFemaleHumansInterviews as TopicMaleMiddle AgedRisk FactorsUnited States

Identifiers

PMID19250148
PMCPMC4204641

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.