Evidence map›Paper›PMID 26902245›Full record

ArticleJournal of general internal medicine2016

Accuracy of the Safer Dx Instrument to Identify Diagnostic Errors in Primary Care.

Aymer Al-Mutairi, Ashley N D Meyer, Eric J Thomas, Jason M Etchegaray, Kevin M Roy, Maria Caridad Davalos, Shazia Sheikh, Hardeep Singh

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Assessing the Revised Safer Dx InstrumentDiagnosis (Berlin, Germany) · 2024
    Article
  8. Development and Implementation of a Digital Quality Measure of Emergency Cancer Diagnosis.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Article
  9. Article
  10. Article
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  12. Article
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  15. Article
  16. Cerebrovascular disease hospitalizations following emergency department headache visits: A nested case-control study.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2022
    Article
  17. Article
  18. Article
  19. Factors Associated With Diagnostic Error on Admission to a PICU: A Pilot Study.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2020
    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

8 authors.

Aymer Al-MutairiHouston Veterans Affairs Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center and Baylor College of Medicine, 2002 Holcombe Boulevard 152, Houston, TX, 77030, USA.
Ashley N D MeyerHouston Veterans Affairs Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center and Baylor College of Medicine, 2002 Holcombe Boulevard 152, Houston, TX, 77030, USA.
Eric J ThomasDepartment of Internal Medicine, University of Texas Medical School at Houston, Houston, TX, USA.
Jason M EtchegarayThe University of Texas at Houston-Memorial Hermann Center for Healthcare Quality and Safety, Houston, TX, USA.
Kevin M RoyDepartment of Pediatrics, Section of Critical Care Medicine, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA.
Maria Caridad DavalosDepartment of Pediatrics, Section of Critical Care Medicine, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA.
Shazia SheikhDepartment of Medicine, Baylor College of Medicine and Ben Taub Hospital - Harris Health System, Houston, TX, USA.
Hardeep SinghHouston Veterans Affairs Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center and Baylor College of Medicine, 2002 Holcombe Boulevard 152, Houston, TX, 77030, USA. hardeeps@bcm.edu.

Funding

Decision Making and Clinical Work of Test Result Follow-up in Health IT SettingsR01HS022087 · AHRQ · BAYLOR COLLEGE OF MEDICINE · PI SINGH, HARDEEP · 2013 to 2016
$2.0M
AHRQ HHS R01 HS022087
6 · The paper itself

Abstract

importanceDiagnostic errors are common and harmful, but difficult to define and measure. Measurement of diagnostic errors often depends on retrospective medical record reviews, frequently resulting in reviewer disagreement.

objectivesWe aimed to test the accuracy of an instrument to help detect presence or absence of diagnostic error through record reviews.

designWe gathered questions from several previously used instruments for diagnostic error measurement, then developed and refined our instrument. We tested the accuracy of the instrument against a sample of patient records (n = 389), with and without previously identified diagnostic errors (n = 129 and n = 260, respectively).

resultsThe final version of our instrument (titled Safer Dx Instrument) consisted of 11 questions assessing diagnostic processes in the patient-provider encounter and a main outcome question to determine diagnostic error. In comparison with the previous sample, the instrument yielded an overall accuracy of 84 %, sensitivity of 71 %, specificity of 90 %, negative predictive value of 86 %, and positive predictive value of 78 %. All 11 items correlated significantly with the instrument's error outcome question (all p values ≤ 0.01). Using factor analysis, the 11 questions clustered into two domains with high internal consistency (initial diagnostic assessment, and performance and interpretation of diagnostic tests) and a patient factor domain with low internal consistency (Cronbach's alpha coefficients 0.93, 0.92, and 0.38, respectively).

conclusionsThe Safer Dx Instrument helps quantify the likelihood of diagnostic error in primary care visits, achieving a high degree of accuracy for measuring their presence or absence. This instrument could be useful to identify high-risk cases for further study and quality improvement.

Indexed as

Quality ImprovementDiagnostic ErrorsDiagnostic Tests, RoutineHumansMedical RecordsPatient SafetyPredictive Value of TestsPrimary Health CareRetrospective StudiesROC CurveSensitivity and SpecificityTexasdiagnostic errordiagnostic safetymeasurementpatient safetyprimary carequality improvement

Identifiers

PMID26902245
PMCPMC4870415

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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.