Evidence map›Paper›PMID 22472914›Full record

Trial reportMedical decision making : an international journal of the Society for Medical Decision Making

Tables or bar graphs? Presenting test results in electronic medical records.

Noel T Brewer, Melissa B Gilkey, Sarah E Lillie, Bradford W Hesse, Stacey L Sheridan

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Medical decision making : an international journal of the Society for Medical Decision Making. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 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, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. A Systematic Review on Visualizations for Self-Generated Health Data for Daily Activities.International journal of environmental research and public health · 2022
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
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  8. The Lure of Beauty: People Select Representations of Statistical Information Largely Based on Attractiveness, Not Comprehensibility.Medical decision making : an international journal of the Society for Medical Decision Making
    Trial
  9. Article
  10. Article
  11. Article
  12. Visual analogies, not graphs, increase patients' comprehension of changes in their health status.Journal of the American Medical Informatics Association : JAMIA · 2020
    Article
  13. Article
  14. Primary Care Providers' Preferences and Concerns Regarding Specific Visual Displays for Returning Hemoglobin A1c Test Results to Patients.Medical decision making : an international journal of the Society for Medical Decision Making · 2019
    Article
  15. Article
  16. Article
  17. Presenting self-monitoring test results for consumers: the effects of graphical formats and age.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
  18. 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

5 authors.

Noel T BrewerUniversity of North Carolina at Chapel Hill, Chapel Hill, NC (NTB, MBG, SEL, SLS)
Melissa B GilkeyUniversity of North Carolina at Chapel Hill, Chapel Hill, NC (NTB, MBG, SEL, SLS)
Sarah E LillieUniversity of North Carolina at Chapel Hill, Chapel Hill, NC (NTB, MBG, SEL, SLS)
Bradford W HesseNational Cancer Institute, Bethesda, MD (BWH)
Stacey L SheridanUniversity of North Carolina at Chapel Hill, Chapel Hill, NC (NTB, MBG, SEL, SLS)

Funding

LINEBERGER CANCER CONTROL EDUCATION PROGRAMR25CA057726 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI EARP, JO ANNE L, RIBISL, KURT M. · 1992 to 2016
$8.0M
FINDING THE M.I.N.C. FOR MAMMOGRAPHY MAINTENANCER01CA105786 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RIMER, BARBARA K. · 2003 to 2009
$3.7M
NCI NIH HHS CA105786NCI NIH HHS R01 CA105786NCI NIH HHS R25 CA057726
6 · The paper itself

Abstract

backgroundElectronic personal health records offer a promising way to communicate medical test results to patients. We compared the usability of tables and horizontal bar graphs for presenting medical test results electronically.

methodsWe conducted experiments with a convenience sample of 106 community-dwelling adults. In the first experiment, participants viewed either table or bar graph formats (between subjects) that presented medical test results with normal and abnormal findings. In a second experiment, participants viewed table and bar graph formats (within subjects) that presented test results with normal, borderline, and abnormal findings.

resultsParticipants required less viewing time when using bar graphs rather than tables. This overall difference was due to superior performance of bar graphs in vignettes with many test results. Bar graphs and tables performed equally well with regard to recall accuracy and understanding. In terms of ease of use, participants did not prefer bar graphs to tables when they viewed only one format. When participants viewed both formats, those with experience with bar graphs preferred bar graphs, and those with experience with tables found bar graphs equally easy to use. Preference for bar graphs was strongest when viewing tests with borderline results.

conclusionsCompared to horizontal bar graphs, tables required more time and experience to achieve the same results, suggesting that tables can be a more burdensome format to use. The current practice of presenting medical test results in a tabular format merits reconsideration.

Indexed as

Audiovisual AidsCommunicationAdultAgedAged, 80 and overBlood PressureBody Mass IndexCholesterolConsumer Health InformationDiagnostic Techniques and ProceduresElectronic Health RecordsFemaleHumansMaleMiddle AgedResidence CharacteristicsCholesterol

Identifiers

PMID22472914
PMCPMC3770735

What OpenQuestion holds

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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.