Evidence map›Paper›PMID 24064444›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2014

Classification of medication incidents associated with information technology.

Ka-Chun Cheung, Willem van der Veen, Marcel L Bouvy, Michel Wensing, Patricia M L A van den Bemt, Peter A G M de Smet

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

  1. Pooled it
  2. Interventions for reducing medication errors in children in hospital.The Cochrane database of systematic reviews · 2015
    Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Patient Safety: A Deep Concern to Caregivers.Innovations in pharmacy · 2019
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Observational
  18. Article
  19. Article
  20. EHR-related medication errors in two ICUs.Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management · 2017
    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.

Ka-Chun CheungScientific Institute for Quality of Healthcare, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.
Willem van der Veen
Marcel L Bouvy
Michel Wensing
Patricia M L A van den Bemt
Peter A G M de Smet

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionInformation technology (IT) plays a pivotal role in improving patient safety, but can also cause new problems for patient safety. This study analyzed the nature and consequences of a large sample of IT-related medication incidents, as reported by healthcare professionals in community pharmacies and hospitals.

methodsThe medication incidents submitted to the Dutch central medication incidents registration (CMR) reporting system were analyzed from the perspective of the healthcare professional with the Magrabi classification. During classification new terms were added, if necessary. MAIN MEASURES: The principal source of the IT-related problem, nature of error. Additional measures: consequences of incidents, IT systems, phases of the medication process.

resultsFrom March 2010 to February 2011 the CMR received 4161 incidents: 1643 (39.5%) from community pharmacies and 2518 (60.5%) from hospitals. Eventually one of six incidents (16.1%, n=668) were related to IT; in community pharmacies more incidents (21.5%, n=351) were related to IT than in hospitals (12.6%, n=317). In community pharmacies 41.0% (n=150) of the incidents were about choosing the wrong medicine. Most of the erroneous exchanges were associated with confusion of medicine names and poor design of screens. In hospitals 55.3% (n=187) of incidents concerned human-machine interaction-related input during the use of computerized prescriber order entry. These use problems were also a major problem in pharmacy information systems outside the hospital.

conclusionsA large sample of incidents shows that many of the incidents are related to IT, both in community pharmacies and hospitals. The interaction between human and machine plays a pivotal role in IT incidents in both settings.

Indexed as

Information SystemsMedical InformaticsElectronic Health RecordsHospital AdministrationHumansMedical Order Entry SystemsMedication ErrorsNetherlandsPharmaciesHealth information technologyIncidents reportingMedical informaticsMedication errorsMedication safetyPatient safety

Identifiers

PMID24064444
PMCPMC3957393

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.