Evidence map›Paper›PMID 39237788›Full record

ArticleJournal of general internal medicine2025

Charting Diagnostic Safety: Exploring Patient-Provider Discordance in Medical Record Documentation.

Traber D Giardina, Viral Vaghani, Divvy K Upadhyay, Taylor M Scott, Saritha Korukonda, Christiane Spitzmueller, Hardeep Singh

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Traber D GiardinaCenter for Innovations in Quality, Effectiveness and Safety (IQuESt), Michael E. DeBakey Veterans Affairs Medical Center (MEDVAMC) and Department of Medicine, Baylor College of Medicine, 2002 Holcombe Boulevard, Houston, TX, 77030, USA. traberd@bcm.edu.ORCID 0000-0002-9184-6524
Viral VaghaniCenter for Innovations in Quality, Effectiveness and Safety (IQuESt), Michael E. DeBakey Veterans Affairs Medical Center (MEDVAMC) and Department of Medicine, Baylor College of Medicine, 2002 Holcombe Boulevard, Houston, TX, 77030, USA.
Divvy K UpadhyayGeisinger, Danville, PA, USA.
Taylor M ScottCenter for Innovations in Quality, Effectiveness and Safety (IQuESt), Michael E. DeBakey Veterans Affairs Medical Center (MEDVAMC) and Department of Medicine, Baylor College of Medicine, 2002 Holcombe Boulevard, Houston, TX, 77030, USA.
Saritha KorukondaGeisinger, Danville, PA, USA.
Christiane SpitzmuellerUniversity of Houston, Houston, TX, USA.
Hardeep SinghCenter for Innovations in Quality, Effectiveness and Safety (IQuESt), Michael E. DeBakey Veterans Affairs Medical Center (MEDVAMC) and Department of Medicine, Baylor College of Medicine, 2002 Holcombe Boulevard, Houston, TX, 77030, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 21st Century Cures Act enables patients to access their medical records, thus providing a unique opportunity to engage patients in their diagnostic journey.

objectiveTo explore the concordance between patients' self-reported diagnostic concerns and clinician-interpreted information in their electronic health records.

designWe conducted a mixed-methods analysis of a cohort of 467 patients who completed a structured data collection instrument (the Safer Dx Patient) to identify diagnostic concerns while reviewing their clinician's notes. We conducted a qualitative content analysis of open-ended responses on both the tools and the case summaries. Two clinical chart reviewers, blinded to patient-reported diagnostic concerns, independently conducted chart reviews using a different structured instrument (the Revised Safer Dx Instrument) to identify diagnostic concerns and generate case summaries. The primary outcome variable was chart review-identified diagnostic concerns. Multivariate logistic regression tested whether the primary outcome was concordant with patient-reported diagnostic concerns.

settingGeisinger, a large integrated healthcare organization in rural and semi-urban Pennsylvania.

participantsCohort of adult patients actively using patient portals and identified as "at-risk" for diagnostic concerns using an electronic trigger algorithm based on unexpected visit patterns in a primary care setting.

resultsIn 467 cohort patients, chart review identified 31 (6.4%) diagnostic concerns, of which only 11 (21.5%) overlapped with 51 patient-reported diagnostic concerns. Content analysis revealed several areas of discordant understanding of the diagnostic process between clinicians and patients. Multivariate logistic regression analysis showed that clinician-identified diagnostic concerns were associated with patients who self-reported "I feel I was incorrectly diagnosed during my visit" (odds ratio 1.65, 95% CI 1.17-2.3, p < 0.05).

conclusionPatients and clinicians appear to have certain differences in their mental models of what is considered a diagnostic concern. Efforts to integrate patient perspectives and experiences with the diagnostic process can lead to better measurement of diagnostic safety.

Indexed as

DocumentationElectronic Health RecordsPatient SafetyPhysician-Patient RelationsAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedPennsylvaniaSelf Reportcommunicationdiagnostic errorsOpenNotespatient experiencepatient safety

Identifiers

PMID39237788
PMCPMC11914411

What OpenQuestion holds

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Registered trials

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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.