Evidence map›Paper›PMID 29845466›Full record

ArticleJournal of general internal medicine2018

Diagnostic Discordance, Health Information Exchange, and Inter-Hospital Transfer Outcomes: a Population Study.

Michael Usher, Nishant Sahni, Dana Herrigel, Gyorgy Simon, Genevieve B Melton, Anne Joseph, Andrew Olson

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Outcomes of Patients Transferred to Tertiary Center by Life-Saving System in Saudi Arabia. A Propensity Score Matching Observational Study.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The role of electronic health record developers in hospital patient sharing.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Observational
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Michael UsherDivision of General Internal Medicine, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN, USA. mgusher@umn.edu.
Nishant SahniDivision of General Internal Medicine, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN, USA.
Dana HerrigelDepartment of Hospital Internal Medicine, Mayo Clinic Florida, Jacksonville, FL, USA.
Gyorgy SimonDivision of General Internal Medicine, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN, USA.
Genevieve B MeltonInstitute for Health Informatics, University of Minnesota Medical School, Minneapolis, MN, USA.
Anne JosephDivision of General Internal Medicine, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN, USA.
Andrew OlsonDivision of General Internal Medicine, Department of Medicine, and Division of Pediatric Hospital Medicine, Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN, USA.

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR000114 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R · 2012 to 2015
$35.0M
University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
NCATS NIH HHS UL1 TR000114NCATS NIH HHS UL1 TR002494
6 · The paper itself

Abstract

backgroundStudying diagnostic error at the population level requires an understanding of how diagnoses change over time.

objectiveTo use inter-hospital transfers to examine the frequency and impact of changes in diagnosis on patient risk, and whether health information exchange can improve patient safety by enhancing diagnostic accuracy.

designDiagnosis coding before and after hospital transfer was merged with responses from the American Hospital Association Annual Survey for a cohort of patients transferred between hospitals to identify predictors of mortality.

participantsPatients (180,337) 18 years or older transferred between 473 acute care hospitals from NY, FL, IA, UT, and VT from 2011 to 2013. MAIN MEASURES: We identified discordant Elixhauser comorbidities before and after transfer to determine the frequency and developed a weighted score of diagnostic discordance to predict mortality. This was included in a multivariate model with inpatient mortality as the dependent variable. We investigated whether health information exchange (HIE) functionality adoption as reported by hospitals improved diagnostic discordance and inpatient mortality. KEY

resultsDiscordance in diagnoses occurred in 85.5% of all patients. Seventy-three percent of patients gained a new diagnosis following transfer while 47% of patients lost a diagnosis. Diagnostic discordance was associated with increased adjusted inpatient mortality (OR 1.11 95% CI 1.10-1.11, p < 0.001) and allowed for improved mortality prediction. Bilateral hospital HIE participation was associated with reduced diagnostic discordance index (3.69 vs. 1.87%, p < 0.001) and decreased inpatient mortality (OR 0.88, 95% CI 0.89-0.99, p < 0.001).

conclusionsDiagnostic discordance commonly occurred during inter-hospital transfers and was associated with increased inpatient mortality. Health information exchange adoption was associated with decreased discordance and improved patient outcomes.

Indexed as

DiagnosisPatient TransferRisk ManagementAdultDiagnostic ErrorsFemaleHealth Information ExchangeHospital MortalityHumansInpatientsInternational Classification of DiseasesMalePrognosisQuality ImprovementUnited States

Identifiers

PMID29845466
PMCPMC6109004

What OpenQuestion holds

Textmetadata
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.