Evidence map›Paper›PMID 33959936›Full record

SynthesisPaediatric drugs2021

Interventions to Reduce Pediatric Prescribing Errors in Professional Healthcare Settings: A Systematic Review of the Last Decade.

Joachim A Koeck, Nicola J Young, Udo Kontny, Thorsten Orlikowsky, Dirk Bassler, Albrecht Eisert

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Paediatric drugs, 2021. 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
2.2field-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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Preventing Medication Errors in Paediatrics: A Narrative Review.Clinical medicine insights. Pediatrics · 2026
    Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
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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 2 countries.

Joachim A KoeckHospital Pharmacy, RWTH Aachen University Hospital, Steinbergweg 20, 52074, Aachen, Germany. jkoeck@ukaachen.de.ORCID http://orcid.org/0000-0003-0101-2102
Nicola J YoungHospital Pharmacy, RWTH Aachen University Hospital, Steinbergweg 20, 52074, Aachen, Germany.
Udo KontnySection of Pediatric Hematology, Oncology, and Stem Cell Transplantation, Department of Pediatric and Adolescent Medicine, RWTH Aachen University Hospital, Aachen, Germany.
Thorsten OrlikowskySection of Neonatology, Department of Pediatric and Adolescent Medicine, RWTH Aachen University Hospital, Aachen, Germany.
Dirk BasslerDepartment of Neonatology, University Hospital Zurich, Zurich, Switzerland.
Albrecht EisertHospital Pharmacy, RWTH Aachen University Hospital, Steinbergweg 20, 52074, Aachen, Germany.
Universitätsklinikum Aachen · DERWTH Aachen University · DEUniversity Hospital of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPediatric medication therapy is prone to errors due to the need for pharmacokinetic and pharmacodynamic individualization and the diverse settings in which pediatric patients are treated. Prescribing errors have been reported as the most common medication error.

objectivesThe aim of this review was to systematically identify interventions to reduce prescribing errors and corresponding patient harm in pediatric healthcare settings and to evaluate their impact.

methodsFour databases were systematically screened (time range November 2011 to December 2019), and experimental studies were included. Interventions to reduce prescribing errors were extracted and classified according to a 'hierarchy of controls' model.

resultsForty-five studies were included, and 70 individual interventions were identified. A bundle of interventions was more likely to reduce prescribing errors than a single intervention. Interventions classified as 'substitution or engineering controls' were more likely to reduce errors in comparison with 'administrative controls', as is expected from the hierarchy of controls model. Fourteen interventions were classified as substitution or engineering controls, including computerized physician order entry (CPOE) and clinical decision support (CDS) systems. Administrative controls, including education, expert consultations, and guidelines, were more commonly identified than higher level controls, although they may be less likely to reduce errors. Of the administrative controls, expert consultations were most likely to reduce errors.

conclusionsInterventions to reduce pediatric prescribing errors are more likely to be successful when implemented as part of a bundle of interventions. Interventions including CPOE and CDS that substitute risks or provide engineering controls should be prioritized and implemented with appropriate administrative controls including expert consultation.

Indexed as

ChildDelivery of Health CareHumansMedication Errors

Identifiers

PMID33959936
OpenAlexW3159370272

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.