Evidence map›Paper›PMID 31269051›Full record

ArticlePloS one2019

Cancer screening risk literacy of physicians in training: An experimental study.

Dafina Petrova, Guiliana Mas, Gorka Navarrete, Tania Tello Rodriguez, Pedro J Ortiz, Rocio Garcia-Retamero

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Article
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  6. Review
  7. Article
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  11. 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
  12. Preventive health care and the media.Canadian family physician Medecin de famille canadien · 2020
    Article
  13. Canadian family physician Medecin de famille canadien · 2020
    Article
  14. How Do Women Interpret the NHS Information Leaflet about Cervical Cancer Screening?Medical decision making : an international journal of the Society for Medical Decision Making · 2019
    Article
  15. 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.

Dafina PetrovaCancer Registry of Granada, Andalusian School of Public Health, Granada, Spain.ORCID 0000-0002-0346-6776
Guiliana MasSchool of Medicine, Instituto de Gerontología, Universidad Peruana Cayetano Heredia, Lima, Perú.
Gorka NavarreteCenter for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo Ibáñez, Santiago de Chile, Chile.ORCID 0000-0001-7678-8656
Tania Tello RodriguezSchool of Medicine, Instituto de Gerontología, Universidad Peruana Cayetano Heredia, Lima, Perú.
Pedro J OrtizSchool of Medicine, Instituto de Gerontología, Universidad Peruana Cayetano Heredia, Lima, Perú.
Rocio Garcia-RetameroMind, Brain, and Behavior Research Center, University of Granada, Granada, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated what factors may foster or hinder physicians' cancer screening risk literacy-specifically the ability to understand evidence regarding screening effectiveness and make evidence-based recommendations to patients. In an experiment, physicians in training (interns and residents) read statistical information about outcomes from screening for cancer, and had to decide whether to recommend it to a patient. We manipulated the effectiveness of the screening (effective vs. ineffective at reducing mortality) and the demand of the patient to get screened (demand vs. no demand). We assessed participants' comprehension of the presented evidence and recommendation to the patient, as well as a-priori screening beliefs (e.g., that screening is always a good choice), numeracy, science literacy, knowledge of screening statistics, statistical education, and demographics. Stronger positive a-priori screening beliefs, lower knowledge of screening statistics, and lower numeracy were related to worse comprehension of the evidence. Physicians recommended against the ineffective screening but only if they showed good comprehension of the evidence. Physicians' recommendations were further based on the perceived benefits from screening but not on perceived harms, nor the patient's demands. The current study demonstrates that comprehension of cancer screening statistics and the ability to infer the potential benefits for patients are essential for evidence-based recommendations. However, strong beliefs in favor of screening fostered by promotion campaigns may influence how physicians evaluate evidence about specific screenings. Fostering physician numeracy skills could help counteract such biases and provide evidence-based recommendations to patients.

Indexed as

Early Detection of CancerPhysiciansAdultDecision MakingEducation, MedicalFemaleForecastingHumansLiteracyMaleMass ScreeningNeoplasmsPsychometrics

Identifiers

PMID31269051
PMCPMC6608976

What OpenQuestion holds

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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.