Evidence map›Paper›PMID 34385760›Full record

ArticleJournal of risk and uncertainty2021

The Modest Effects of Fact Boxes on Cancer Screening.

Michael R Eber, Cass R Sunstein, James K Hammitt, Jennifer M Yeh

Open access · greenAbstract read
In one paragraph

Article in Journal of risk and uncertainty, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Boosting healthier choices.BMJ (Clinical research ed.) · 2022
    Article
  5. 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 2 institutions in 2 countries.

Michael R EberHarvard University, Interfaculty Initiative in Health Policy, Cambridge, MA, USA.
Cass R SunsteinHarvard University, Robert Walmsley University Professor, Cambridge, MA, USA.
James K HammittHarvard University, Center for Risk Analysis, Boston, MA USA; Toulouse School of Economics, Université Toulouse Capitole, Toulouse, France.
Jennifer M YehHarvard Medical School, Boston, MA, USA; Boston Children's Hospital, Boston, MA, USA.
Harvard University · USHarvard University Press · US

Funding

HEALTH POLICY TRAINING PROGRAMT32HS000055 · AHRQ · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI CUTLER, DAVID M · 1994 to 2024
$7.1M
AHRQ HHS T32 HS000055
6 · The paper itself

Abstract

As health care becomes increasingly personalized to the needs and values of individual patients, informational interventions that aim to inform and debias consumer decision-making are likely to become important tools. In a randomized controlled experiment, we explore the effects of providing participants with published fact boxes on the benefits and harms of common cancer screening procedures. Female participants were surveyed about breast cancer screening by mammography, while male participants were surveyed about prostate cancer screening by prostate-specific antigen (PSA) testing. For these screening procedures, we expect consumers to have overly optimistic prior beliefs about the benefits and harms. We find that participants update their beliefs about the net benefits of screening modestly, but we observe little change in their stated preferences to seek screening. Participants who scored higher on a numeracy test updated their beliefs about screening benefits more in response to the fact boxes than did participants who scored lower on the numeracy test.

Indexed as

C91cancerD80fact boxesI12I18information sensitivitynumeracyprecautionary behaviorRisk perception

Identifiers

PMID34385760
PMCPMC8354090
OpenAlexW3131633602

What OpenQuestion holds

Textmetadata
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.