Evidence map›Paper›PMID 25797942›Full record

Observational studyThe Journal of emergency medicine2015

Accuracy of Electronic Medical Record Medication Reconciliation in Emergency Department Patients.

Andrew A Monte, Peter Anderson, Jason A Hoppe, Richard M Weinshilboum, Vasilis Vasiliou, Kennon J Heard

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in The Journal of emergency medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Use of a tablet computer application to engage patients in updating their medication list.American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists · 2019
    Article
  11. Article
  12. Article
  13. Usage and accuracy of medication data from nationwide health information exchange in Quebec, Canada.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
  14. Article
  15. 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

6 authors at 3 institutions in 1 country.

Andrew A MonteDepartment of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado; Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, Colorado; Rocky Mountain Poison & Drug Center, Denver, Colorado.
Peter AndersonSkaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, Colorado.
Jason A HoppeDepartment of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado; Rocky Mountain Poison & Drug Center, Denver, Colorado.
Richard M WeinshilboumMayo Clinic Department of Pharmacology, Rochester, Minnesota.
Vasilis VasiliouSkaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, Colorado.
Kennon J HeardDepartment of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado; Rocky Mountain Poison & Drug Center, Denver, Colorado.
University of Colorado Denver · USUniversity of Montana · USMayo Clinic · US

Funding

Colorado Clinical and Translational Sciences InstituteUL1TR001082 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$48.0M
Colorado Clinical and Translational Science Institute (UL1)UL1TR000154 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2012 to 2013
$20.4M
Pharmacogenetics of Phase II Drug Metabolizing EnzymesU19GM061388 · NIGMS · MAYO CLINIC ROCHESTER · PI WEINSHILBOUM, RICHARD M. · 2010 to 2014
$15.8M
PHARMACOGENETICS OF PHASE II DRUG METABOLIZING ENZYMESU01GM061388 · NIGMS · MAYO CLINIC ROCHESTER · PI WEINSHILBOUM, RICHARD M. · 2000 to 2009
$15.7M
TRAINING GRANT IN CLINICAL PHARMACOLOGYT32GM008685 · NIGMS · MAYO CLINIC ROCHESTER · PI Liewei Wang · 1998 to 2026
$8.2M
INHERITED VARIATIONS IN DRUG-METABOLIZING ENZYMESR01GM028157 · NIGMS · MAYO CLINIC ROCHESTER · PI WEINSHILBOUM, RICHARD M. · 1985 to 2019
$6.9M
Mouse Models for Alcohol Metabolism and Tissue InjuryR24AA022057 · NIAAA · YALE UNIVERSITY · PI VASILIOU, VASILIS · 2013 to 2022
$4.5M
Cellular pharmacology of tenofovir and emtricitabine for HIV prophylaxisU01AI084735 · NIAID · UNIVERSITY OF COLORADO DENVER · PI ANDERSON, PETER L. · 2009 to 2012
$4.2M
Role and Molecular Mechanisms of Corneal Aldehyde DehydrogenaseR01EY011490 · NEI · YALE UNIVERSITY · PI VASILIOU, VASILIS · 2004 to 2013
$4.0M
Novel Role of Corneal Crystallins as Modulators of Cell Growth and TransparencyR01EY017963 · NEI · YALE UNIVERSITY · PI VASILIOU, VASILIS · 2007 to 2019
$3.7M
PrEP and ART adherence monitoring using dried blood spotsU01AI106499 · NIAID · UNIVERSITY OF COLORADO DENVER · PI ANDERSON, PETER L. · 2013 to 2016
$2.9M
SULFATE CONJUGATION AND DRUG METABOLISMR01GM035720 · NIGMS · MAYO CLINIC ROCHESTER · PI WEINSHILBOUM, RICHARD M. · 1986 to 2007
$2.3M
NCATS NIH HHS UL1 TR000154NCATS NIH HHS UL1 TR001082NCI NIH HHS R01 CA132780NEI NIH HHS R01 EY011490NEI NIH HHS R01 EY017963NEI NIH HHS R21 EY021688NHGRI NIH HHS U01 HG005137NIAAA NIH HHS R13 AA021659NIAAA NIH HHS R24 AA022057NIAID NIH HHS U01 AI084735NIAID NIH HHS U01 AI106499NIGMS NIH HHS 1K23GM110516-01NIGMS NIH HHS K23 GM110516NIGMS NIH HHS R01 GM028157NIGMS NIH HHS R01 GM035720NIGMS NIH HHS T32 GM008685NIGMS NIH HHS U01 GM061388NIGMS NIH HHS U19 GM061388
6 · The paper itself

Abstract

backgroundMedication history discrepancies have the potential to cause significant adverse clinical effects for patients. More than 40% of medication errors can be traced to inadequate reconciliation.

objectiveThe objective of this study was to determine the accuracy of electronic medical record (EMR)-reconciled medication lists obtained in an academic emergency department (ED).

methodsComprehensive research medication ingestion histories for the 48 h preceding ED visit were performed and compared to reconciled EMR medication lists in a convenience sample of ED patients. The reconciled EMR list of prescription, nonprescription, vitamins, herbals, and supplement medications were compared against a structured research medication history tool. We measured the accuracy of the reconciled EMR list vs. the research history for all classes of medications as the primary outcome.

resultsFive hundred and two subjects were enrolled. The overall accuracy of EMR-recorded ingestion histories in the preceding 48 h was poor. The EMR was accurate in only 21.9% of cases. Neither age ≥ 65 years (odds ratio [OR] = 1.3; 95% confidence interval [CI] 0.6-2.6) nor sex (female vs. male: OR = 1.5; 95% CI 0.9-2.5) were predictors of accurate EMR history. In the inaccurate EMRs, prescription lists were more likely to include medications that the subject did not report using (78.9%), while the EMR was more likely not to capture nonprescriptions (76.1%), vitamins (73.0%), supplements (67.3%), and herbals (89.1%) that the subject reported using.

conclusionsMedication ingestion histories procured through triage EMR reconciliation are often inaccurate, and additional strategies are needed to obtain an accurate list.

Indexed as

Emergency Service, HospitalAdolescentAdultAgedAged, 80 and overDietary SupplementsElectronic Health RecordsFemaleHumansMaleMedical History TakingMedication ReconciliationMiddle AgedNonprescription DrugsPlant PreparationsPrescription DrugsNonprescription DrugsPlant PreparationsPrescription DrugsVitaminselectronic medical recordemergency department medicationsmedication historymedication reconciliationreconciliation

Identifiers

PMID25797942
PMCPMC4476907
OpenAlexW2101896284

What OpenQuestion holds

Textmetadata
LicenceTDM
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.