Evidence map›Paper›PMID 36718575›Full record

Observational studyJournal of the American Medical Informatics Association : JAMIA2023

Examining medication ordering errors using AHRQ network of patient safety databases.

Anne Grauer, Amanda Rosen, Jo R Applebaum, Danielle Carter, Pooja Reddy, Alexis Dal Col, Deepa Kumaraiah, Daniel J Barchi, David C Classen, Jason S Adelman

Abstract readObservational Study
In one paragraph

Observational study in Journal of the American Medical Informatics Association : JAMIA, 2023. 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. Article
  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

10 authors.

Anne GrauerDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Amanda RosenDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Jo R ApplebaumDepartment of Quality and Patient Safety, New York-Presbyterian Hospital, New York, New York, USA.ORCID 0000-0002-4137-6069
Danielle CarterDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Pooja ReddyDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Alexis Dal ColColumbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.
Deepa KumaraiahDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Daniel J BarchiDepartment of Quality and Patient Safety, New York-Presbyterian Hospital, New York, New York, USA.
David C ClassenDivision of Clinical Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Jason S AdelmanDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.

Funding

Patient Safety and Health Services Research TrainingT32HS026121 · AHRQ · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ADELMAN, JASON STUART, BARR, R GRAHAM · 2018 to 2024
$2.4M
AHRQ HHS T32 HS026121
6 · The paper itself

Abstract

backgroundStudies examining the effects of computerized order entry (CPOE) on medication ordering errors demonstrate that CPOE does not consistently prevent these errors as intended. We used the Agency for Healthcare Research and Quality (AHRQ) Network of Patient Safety Databases (NPSD) to investigate the frequency and degree of harm of reported events that occurred at the ordering stage, characterized by error type. MATERIALS AND

methodsThis was a retrospective observational study of safety events reported by healthcare systems in participating patient safety organizations from 6/2010 through 12/2020. All medication and other substance ordering errors reported to NPSD via common format v1.2 between 6/2010 through 12/2020 were analyzed. We aggregated and categorized the frequency of reported medication ordering errors by error type, degree of harm, and demographic characteristics.

resultsA total of 12 830 errors were reported during the study period. Incorrect dose accounted for 3812 errors (29.7%), followed by incorrect medication 2086 (16.3%), and incorrect duration 765 (6.0%). Of 5282 events that reached the patient and had a known level of severity, 12 resulted in death, 4 resulted in severe harm, 45 resulted in moderate harm, 341 resulted in mild harm, and 4880 resulted in no harm.

conclusionIncorrect dose and incorrect drug orders were the most commonly reported and harmful types of medication ordering errors. Future studies should aim to develop and test interventions focused on CPOE to prevent medication ordering errors, prioritizing wrong-dose and wrong-drug errors.

Indexed as

Medical Order Entry SystemsPatient SafetyDatabases, FactualHumansMedication ErrorsRetrospective Studiescomputerized provider order entry (CPOE)ordering errorspatient safety

Identifiers

PMID36718575
PMCPMC10114013

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.