Evidence map›Paper›PMID 30560236›Full record

ArticleMayo Clinic proceedings. Innovations, quality & outcomes2018

Implementation of Bar-Code Medication Administration to Reduce Patient Harm.

Kristine M Thompson, Kristi M Swanson, Debra L Cox, Robert B Kirchner, Jennifer J Russell, Robert A Wermers, Curtis B Storlie, Matthew G Johnson, James M Naessens

Abstract read
In one paragraph

Article in Mayo Clinic proceedings. Innovations, quality & outcomes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Reducing medication errors for adults in hospital settings.The Cochrane database of systematic reviews · 2021
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Descriptive Epidemiology of Safety Events at an Academic Medical Center.International journal of environmental research and public health · 2020
    Article
  9. Growing Up Fast!Mayo Clinic proceedings. Innovations, quality & outcomes · 2019
    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

9 authors.

Kristine M ThompsonDepartment of Emergency Medicine, Mayo Clinic, Jacksonville, FL.
Kristi M SwansonRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
Debra L CoxDepartment of Nursing, Mayo Clinic, Rochester, MN.
Robert B KirchnerDepartment of Nursing, Mayo Clinic, Rochester, MN.
Jennifer J RussellDepartment of Information Technology, Mayo Clinic, Rochester, MN.
Robert A WermersDivision of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic, Rochester, MN.
Curtis B StorlieDivision of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN.
Matthew G JohnsonRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
James M NaessensDivision of Health Care Policy and Research, Mayo Clinic, Rochester, MN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the impact of implementing bar-code medication administration (BCMA) technology on the rate of medication administration errors in the inpatient setting, specifically those that affect the patient and result in harm. PATIENTS AND

methodsImplementation of the new technology began in September 2008 in a staged rollout of 4 or 5 units at a time in 11 separate waves. All corresponding medication administrations and voluntarily reported medication-related adverse events from March 1, 2007, through September 30, 2013, were included for analyses. Adherence to the use of BCMA technology and the number of adverse events were tracked and compared across the preimplementation period through follow-up. Actual errors, not potential errors, were included in the analysis.

resultsAfter the BCMA technology was introduced, reported medication administration errors decreased by 43.5%. More importantly, the rate of harmful medication errors decreased from 0.65 per 100,000 medications preintervention to 0.29 per 100,000 medications postintervention. This resulted in a 55.4% decrease in actual patient harm events. None of the errors at category E or higher was caused by BCMA factors.

conclusionConsistent use of BCMA technology improves patient safety by decreasing the number of patients harmed by medication administration errors.

Indexed as

ADE, adverse drug eventBCMA, bar-code medication administrationITSA, interrupted time series analysis

Identifiers

PMID30560236
PMCPMC6257885

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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.