Evidence map›Paper›PMID 31156995›Full record

ArticleEuropean journal of hospital pharmacy : science and practice2018

Dispensing errors from look-alike drug trade names.

Hsiang-Yi Tseng, Chen-Fan Wen, Ya-Lun Lee, Kee-Ching Jeng, Pei-Liang Chen

Open access · bronzeAbstract read
In one paragraph

Article in European journal of hospital pharmacy : science and practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. A systematic literature review of LASA error interventions.British journal of clinical pharmacology · 2021
    Pooled it
  2. A refined management system focusing on medication dispensing errors: A 14-year retrospective study of a hospital outpatient pharmacy.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023
    Article
  3. Observational
  4. Article
  5. 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

5 authors at 2 institutions in 1 country.

Hsiang-Yi TsengDepartment of Pharmacy, Tungs' Taichung MetroHarbor Hospital, Taichung, Taiwan.
Chen-Fan WenDepartment of Medical Research, Tungs' Taichung MetroHarbor Hospital, Taichung, Taiwan.
Ya-Lun LeeDepartment of Pharmacy, Tungs' Taichung MetroHarbor Hospital, Taichung, Taiwan.
Kee-Ching JengDepartment of Pharmacy, Tungs' Taichung MetroHarbor Hospital, Taichung, Taiwan.
Pei-Liang ChenDepartment of Pharmacy, Tungs' Taichung MetroHarbor Hospital, Taichung, Taiwan.
Tungs' Taichung MetroHarbor Hospital · TWTaichung City Government · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo improve patient safety, we investigated near-miss dispensing errors in our hospital and evaluated the effectiveness of specific preventive strategies.

methodsThe incidence and type of near-miss dispensing errors in a single hospital in Taiwan were identified in 2013. The causes of dispensing errors were analysed by consensus of an expert panel comprising a senior pharmacist on duty, a group leader in the pharmacy and an author. Because alphabetical trade names were routinely used in our pharmacy, they were used for similarity analysis. Trigram-2b and normalised edit distance (NED) were used to calculate orthographic similarity and distance measure, respectively. The correlation between drug-name confusion and dispensing errors was then studied. Preventive strategies, including the introduction of tall man letters, were completed at the end of 2013, and error data were then recollected in 2014. Differences between before and after the interventions were examined by t-test.

resultsBefore the intervention, look-alike alphabetical names were the main cause of dispensing wrong medicine (134/202, 66.3%). The frequency of near-miss dispensing errors correlated significantly with drug-name similarity (p<0.01). After implementation of preventive strategies, dispensing errors due to drug-name confusion were reduced significantly (77/140, 55.0%, p=0.004).

conclusionsThe frequency of near-miss drug dispensing errors correlated with greater similarity or lower NED scores, and dispensing errors related to drug-name confusion were significantly reduced by our interventions. However, other dispensing errors might need to be investigated in order to prevent them.

Indexed as

Dispensing errorslook-alike alphabetic trade namesmedication safetynear-miss incidentsTall Man letters

Identifiers

PMID31156995
PMCPMC6452333
OpenAlexW2555375657

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.