Evidence map›Paper›PMID 24246563›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2014

Numbers matter to informed patient choices: a randomized design across age and numeracy levels.

Ellen Peters, P Sol Hart, Martin Tusler, Liana Fraenkel

Abstract read
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
9.1field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 83 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Utilization of Continuous "Spinners" to Communicate Risk.Medical decision making : an international journal of the Society for Medical Decision Making · 2017
    Trial
  4. Trial
  5. Presenting Numeric Information with Percentages and Descriptive Risk Labels: A Randomized Trial.Medical decision making : an international journal of the Society for Medical Decision Making · 2015
    Trial
  6. Communicating Numeric Risk Information to Patients.Journal of general internal medicine · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Statistical Literacy in Hand and Upper-Extremity Patients.Journal of hand surgery global online · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Layperson Views about the Design and Evaluation of Decision Aids: A Public Deliberation.Medical decision making : an international journal of the Society for Medical Decision Making · 2021
    Article
  16. Article
  17. Numeracy and memory for risk probabilities and risk outcomes depicted on cigarette warning labels.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2020
    Article
  18. Article
  19. 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
  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

4 authors at 3 institutions in 1 country.

Ellen PetersDepartment of Psychology, Ohio State University, Columbus, OH (EP, MT).
P Sol HartUniversity of Michigan, Ann Arbor, MI (PSH)
Martin TuslerDepartment of Psychology, Ohio State University, Columbus, OH (EP, MT).
Liana FraenkelYale School of Medicine, New Haven, CT (LF)
University of Michigan–Ann Arbor · USThe Ohio State University · USYale University · US

Funding

Internet Interviewing and the HRSR01AG020717 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KAPTEYN, ARIE · 2002 to 2015
$18.8M
Roybal Center for Health Decision Making and Financial Independence in Old AgeP30AG024962 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KAPTEYN, ARIE · 2004 to 2018
$5.5M
Improving Decision Making in Patients with Rheumatic DiseaseK24AR060231 · NIAMS · YALE UNIVERSITY · PI FRAENKEL, LIANA · 2011 to 2018
$1.2M
NIAMS NIH HHS K24 AR060231NIAMS NIH HHS K24 AR060231-01NIA NIH HHS P30 AG024962NIA NIH HHS P30AG024962NIA NIH HHS R01 AG020717NIA NIH HHS R01AG20717
6 · The paper itself

Abstract

backgroundHow drug adverse events (AEs) are communicated in the United States may mislead consumers and result in low adherence. Requiring written information to include numeric AE-likelihood information might lessen these effects, but providing numbers may disadvantage less skilled populations. The objective was to determine risk comprehension and willingness to use a medication when presented with numeric or nonnumeric AE-likelihood information across age, numeracy, and cholesterol-lowering drug-use groups.

methodsIn a cross-sectional Internet survey (N = 905; American Life Panel, 15 May 2008 to 18 June 2008), respondents were presented with a hypothetical prescription medication for high cholesterol. AE likelihoods were described using 1 of 6 formats (nonnumeric: consumer medication information (CMI)-like list, risk labels; numeric: percentage, frequency, risk labels + percentage, risk labels + frequency). Main outcome measures were risk comprehension (recoded to indicate presence/absence of risk overestimation and underestimation), willingness to use the medication (7-point scale; not likely = 0, very likely = 6), and main reason for willingness (chosen from 8 predefined reasons).

resultsIndividuals given nonnumeric information were more likely to overestimate risk, were less willing to take the medication, and gave different reasons than those provided numeric information across numeracy and age groups (e.g., among the less numerate, 69% and 18% overestimated risks in nonnumeric and numeric formats, respectively; among the more numerate, these same proportions were 66% and 6%). Less numerate middle-aged and older adults, however, showed less influence of numeric format on willingness to take the medication. It is unclear whether differences are clinically meaningful, although some differences are large.

conclusionsProviding numeric AE-likelihood information (compared with nonnumeric) is likely to increase risk comprehension across numeracy and age levels. Its effects on uptake and adherence of prescribed drugs should be similar across the population, except perhaps in older, less numerate individuals.

Indexed as

Choice BehaviorPatient ParticipationAdolescentAdultAgedAged, 80 and overAge FactorsCommunicationCross-Sectional StudiesFemaleHumansHypercholesterolemiaHypolipidemic AgentsMaleMiddle AgedRisk AssessmentHypolipidemic Agentsadherenceaginginformed decision makingnumeracypharmaceutical decision makingrisk communicationrisk comprehensionstatins

Identifiers

PMID24246563
PMCPMC3991753
OpenAlexW2143378120

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.