Evidence map›Paper›PMID 42234027›Full record

ArticleEuropean radiology2026

Pre-procedural disclosure of potential diagnostic errors in radiology: public perspectives in the Netherlands.

Thomas C Kwee, Yfke Ongena, Marieke Haan, Derya Yakar

Abstract read
In one paragraph

Article in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Thomas C KweeDepartment of Radiology, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands. t.c.kwee@umcg.nl.ORCID http://orcid.org/0000-0001-9005-8529
Yfke OngenaCenter for Language and Cognition, Discourse and Communication Group, University of Groningen, Groningen, The Netherlands.
Marieke HaanDepartment of Sociology/ICS, Faculty of Behavioral and Social Sciences, University of Groningen, Groningen, The Netherlands.
Derya YakarDepartment of Radiology, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess public attitudes toward prospective disclosure of diagnostic error risk in radiologic imaging (i.e., informing patients in advance about the possibility a radiologic examination may yield an incorrect finding, rather than disclosure of an error after it has occurred) and to identify factors influencing these preferences. MATERIALS AND

methodsA population-based survey was conducted in the Netherlands. Participants aged ≥ 18 years (n = 1524) responded to CT-scan vignettes describing pre-procedural potential diagnostic errors, varying by patient age (9, 26, 46, or 71 years) and probability of incorrect findings (< 0.1%, < 1%, < 5%, or unspecified). For case vignettes involving 9-year-old patients, participants responded as parents/guardians. Agreement with "I would want to be informed" was measured using a 4-point Likert scale (1 = strongly disagree, 2 = disagree, 3 = agree, 4 = strongly agree).

resultsOverall, 88.4% of participants agreed or strongly agreed that patients should be informed about the risk of diagnostic errors. Patient age and diagnostic error risk significantly influenced agreement. Compared with vignettes describing a 71-year-old patient, younger patient ages were associated with higher odds of agreement (9-year-old OR 4.023, p = 0.010; 26-year-old OR 3.222, p = 0.019; 46-year-old OR 2.659, p = 0.022). Compared with vignettes in which diagnostic error risk was unspecified, specifying risks of < 0.1% or < 1% was associated with lower odds of agreement (< 0.1% risk: OR 0.476, p < 0.001; < 1% risk: OR 0.635, p = 0.002), whereas a < 5% risk was not (OR 0.876, p = 0.360).

conclusionPublic support for prospective disclosure of diagnostic error risk in radiologic imaging is high in the Dutch population, particularly for younger patients and higher-risk scenarios. KEY POINTS: Question Most adults in the Netherlands support disclosure of diagnostic error risk in radiologic imaging, particularly for younger patients and higher-risk scenarios. Findings Public preferences for disclosure are driven by patient age and error probability, rather than participant demographics or prior radiology experience. Clinical relevance Public support for disclosure of diagnostic error risk in radiologic imaging is high in the Dutch population, especially for younger patients and higher-risk scenarios.

Indexed as

Diagnostic ErrorsDisclosurePublic OpinionRadiologyTruth DisclosureAdolescentAdultAgedChildFemaleHumansMaleMiddle AgedNetherlandsSurveys and QuestionnairesTomography, X-Ray ComputedDiagnostic errorsDisclosurePatient preferenceRadiologyRisk assessment

Identifiers

PMID42234027
PMCPMC13574909

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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.