Evidence map›Paper›PMID 34357577›Full record

SynthesisJournal of general internal medicine2021

Imprecision and Preferences in Interpretation of Verbal Probabilities in Health: a Systematic Review.

Katerina Andreadis, Ethan Chan, Minha Park, Natalie C Benda, Mohit M Sharma, Michelle Demetres, Diana Delgado, Elizabeth Sigworth, Qingxia Chen, Andrew Liu and 4 more

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of general internal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Insufficient evidence for interactive or animated graphics for communicating probability.Journal of the American Medical Informatics Association : JAMIA · 2024
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Impact of Philips device recall on adults with obstructive sleep apnea treated with PAP therapy: Results of a cross-national patient survey.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Use of Persuasive Language in Communication of Risk during Prostate Cancer Treatment Consultations.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
    Article
  14. Article
  15. Visualizing machine learning-based predictions of postpartum depression risk for lay audiences.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  16. Article
  17. Research-Problem Validity in Primary Research: Precision and Transparency in Characterizing Past Knowledge.Perspectives on psychological science : a journal of the Association for Psychological Science · 2023
    Article
  18. Thyroid Cancer Risk Communication in Patients with Thyroid Nodules.Journal of cancer education : the official journal of the American Association for Cancer Education · 2023
    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

14 authors.

Katerina AndreadisDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.ORCID 0000-0001-8586-450X
Ethan ChanDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
Minha ParkDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
Natalie C BendaDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
Mohit M SharmaDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
Michelle DemetresSamuel J Wood Library, Weill Cornell Medicine, New York, NY, USA.
Diana DelgadoSamuel J Wood Library, Weill Cornell Medicine, New York, NY, USA.
Elizabeth SigworthDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Qingxia ChenDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Andrew LiuDepartment of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Lisa Grossman LiuDepartment of Biomedical Informatics, Columbia University Vagelos School of Medicine, New York, NY, USA.
Marianne SharkoDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
Brian J Zikmund-FisherDepartment of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Jessica S AnckerDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA. jessica.s.ancker@vumc.org.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Abramson Cancer Center Support GrantP30CA147859 · NCI · UNIVERSITY OF PENNSYLVANIA · PI LERMAN, CARYN · 2009 to 2010
$1.6M
Making Numbers Meaningful: Promoting Evidence-based Communication of Numbers in HealthR01LM012964 · NLM · WEILL MEDICAL COLL OF CORNELL UNIV · PI ANCKER, JESSICA S. · 2018 to 2021
$1.4M
NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA147859NLM NIH HHS R01 LM012964NLM NIH HHS R01 LM012965
6 · The paper itself

Abstract

introductionMany health providers and communicators who are concerned that patients will not understand numbers instead use verbal probabilities (e.g., terms such as "rare" or "common") to convey the gist of a health message.

objectiveTo assess patient interpretation of and preferences for verbal probability information in health contexts.

methodsWe conducted a systematic review of literature published through September 2020. Original studies conducted in English with samples representative of lay populations were included if they assessed health-related information and elicited either (a) numerical estimates of verbal probability terms or (b) preferences for verbal vs. quantitative risk information.

resultsWe identified 33 original studies that referenced 145 verbal probability terms, 45 of which were included in at least two studies and 19 in three or more. Numerical interpretations of each verbal term were extremely variable. For example, average interpretations of the term "rare" ranged from 7 to 21%, and for "common," the range was 34 to 71%. In a subset of 9 studies, lay estimates of verbal probability terms were far higher than the standard interpretations established by the European Commission for drug labels. In 10 of 12 samples where preferences were elicited, most participants preferred numerical information, alone or in combination with verbal labels.

conclusionNumerical interpretation of verbal probabilities is extremely variable and does not correspond well to the numerical probabilities established by expert panels. Most patients appear to prefer quantitative risk information, alone or in combination with verbal labels. Health professionals should be aware that avoiding numeric information to describe risks may not match patient preferences, and that patients interpret verbal risk terms in a highly variable way.

Indexed as

ProbabilityHumanshealth literacyhealth numeracypatient-provider communicationrisk communication

Identifiers

PMID34357577
PMCPMC8642516

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.