Evidence map›Paper›PMID 29581088›Full record

ArticleJournal of medical Internet research2018

Effect of Harm Anchors in Visual Displays of Test Results on Patient Perceptions of Urgency About Near-Normal Values: Experimental Study.

Brian J Zikmund-Fisher, Aaron M Scherer, Holly O Witteman, Jacob B Solomon, Nicole L Exe, Angela Fagerlin

Erratum issuedAbstract read
In one paragraph

Article in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 5 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

19 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Communicating blood test results in primary care: a mixed-methods systematic review.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Information visualizations of symptom information for patients and providers: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019
    Pooled it
  6. Article
  7. Advances in laboratory medicine · 2025
    Article
  8. Review
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  10. Article
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  12. Article
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  15. Article
  16. 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
  17. Parental Perceptions of Displayed Patient Data in a PICU: An Example of Unintentional Empowerment.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2019
    Article
  18. Article
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Brian J Zikmund-FisherDepartment of Health Behavior and Health Education, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0002-1637-4176
Aaron M SchererCenter for Bioethics and Social Sciences in Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0002-4134-9300
Holly O WittemanDepartment of Family and Emergency Medicine, Laval University, Quebec City, QC, Canada.ORCID 0000-0003-4192-0682
Jacob B SolomonCenter for Bioethics and Social Sciences in Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0003-1572-9921
Nicole L ExeCenter for Bioethics and Social Sciences in Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0001-8864-8327
Angela FagerlinDepartment of Population Health Sciences, University of Utah, Salt Lake City, UT, United States.ORCID 0000-0002-9192-2777

Funding

Systematic Design of Meaningful Presentations of Medical Test Data for PatientsR01HS021681 · AHRQ · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZIKMUND-FISHER, BRIAN J · 2013 to 2015
$1.5M
AHRQ HHS R01 HS021681
6 · The paper itself

Abstract

backgroundPatient-facing displays of laboratory test results typically provide patients with one reference point (the "standard range").

objectiveTo test the effect of including an additional harm anchor reference point in visual displays of laboratory test results, which indicates how far outside of the standard range values would need to be in order to suggest substantial patient risk.

methodsUsing a demographically diverse, online sample, we compared the reactions of 1618 adults in the United States who viewed visual line displays that included both standard range and harm anchor reference points ("Many doctors are not concerned until here") to displays that included either (1) only a standard range, (2) standard range plus evaluative categories (eg, "borderline high"), or (3) a color gradient showing degree of deviation from the standard range.

resultsProviding the harm anchor reference point significantly reduced perceived urgency of close-to-normal alanine aminotransferase and creatinine results (P values <.001) but not generally for platelet count results. Notably, display type did not significantly alter perceptions of more extreme results in potentially harmful ranges. Harm anchors also substantially reduced the number of participants who wanted to contact their doctor urgently or go to the hospital about these test results.

conclusionsPresenting patients with evaluative cues regarding when test results become clinically concerning can reduce the perceived urgency of out-of-range results that do not require immediate clinical action.

Indexed as

Reference ValuesAdultAgedAged, 80 and overData CollectionDecision MakingFemaleHumansMaleMiddle AgedPerceptionYoung Adultclinical laboratory information systemscomputer graphicsdecision makingeducation of patientselectronic health record

Identifiers

PMID29581088
PMCPMC5891666

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.