Evidence map›Paper›PMID 19591531›Full record

ArticleDrug safety2009

Application of the Bow-Tie model in medication safety risk analysis: consecutive experience in two hospitals in the Netherlands.

Peter C Wierenga, Loraine Lie-A-Huen, Sophia E de Rooij, Niek S Klazinga, Henk-Jan Guchelaar, Susanne M Smorenburg

Abstract read
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Article in Drug safety, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Assessment of COVID-19 barrier effectiveness using process safety techniques.Process safety and environmental protection : transactions of the Institution of Chemical Engineers, Part B · 2022
    Article
  3. Tools for the investigation of adverse events: scoping review.Revista da Escola de Enfermagem da U S P · 2022
    Article
  4. Application of bow tie analysis and inherently safer design to the novel coronavirus hazard.Process safety and environmental protection : transactions of the Institution of Chemical Engineers, Part B · 2021
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Minimising drug errors in critically ill patients.Critical care (London, England) · 2011
    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.

Peter C WierengaDepartment of Clinical Pharmacy, Academic Medical Center, 1100 DD Amsterdam, the Netherlands. p.c.wierenga@amc.nl
Loraine Lie-A-Huen
Sophia E de Rooij
Niek S Klazinga
Henk-Jan Guchelaar
Susanne M Smorenburg

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo improve medication safety effectively, one should systematically analyse and assess the risks for medication errors and determine the possible causes. So far, no risk-analysis instrument exists in healthcare that can be used to analyse and visualize risks, causes and consequences of potential adverse events in a prospective manner. In high-risk industries such as petrochemistry and aviation, the Bow-Tie model is frequently used. This model combines causes, errors, preventive and recovery measures, and consequences in one model and gives insight into the magnitude and causes of existing safety risks. The aim of our project was to study the usefulness of the Bow-Tie model in the hospital setting for prospective analysis of risks in the medication process in order to develop a practicable method.

methodsThe model was first adapted to the clinical setting. Thereafter, the risk-analysis model was applied in a large tertiary teaching hospital in multidisciplinary sessions. The sessions and risk-analysis method were evaluated on the following aspects: applicability, comprehensibility, creation of awareness in and motivation of participants, and the capability of the 'system approach' (the approach taken by the Bow-Tie model, which focuses on the conditions under which individuals work and tries to build defences to avert errors or mitigate their effects, in contrast to a 'person approach', which focuses on errors of individuals, blaming them for forgetfulness, inattention etc.). Based on this evaluation, the risk analysis method was adjusted and consecutively applied in a general teaching hospital. After evaluation of the sessions in the second hospital a recommended method for risk analysis with the Bow-Tie model was defined.

resultsThe risk-analysis method with the Bow-Tie model in the first hospital gave insight into many medication safety-related risks. However, the method was insufficient on comprehensibility and on the creation of awareness and motivation owing to a great number of determined risks which made thorough analysis, drawing of Bow-Ties and prioritizing difficult. The adjusted method in the second hospital focused more on the in-depth analysis of a small number of important safety issues of a department with specific attention for underlying causes. This approach was considered better in applicability, comprehensibility and the creation of awareness. Furthermore, by analyzing underlying causes, more attention could be paid to latent conditions (which can translate into error-provoking conditions) within the system.

conclusionWe found the Bow-Tie to be an appropriate model for prospective risk analysis of medication safety in a hospital. By applying the model in two hospitals consecutively we developed a feasible method for risk-analysis sessions. Key factors of this recommended method are a focus on the prioritized selection of safety issues and specific attention to latent conditions within the system by analysing these safety issues in depth to the root causes with the help of the Bow-Tie model.

Indexed as

Drug-Related Side Effects and Adverse ReactionsModels, OrganizationalHospitals, TeachingHumansMedication ErrorsNetherlandsProspective StudiesQuality Assurance, Health CareRisk AssessmentRisk Management

Identifiers

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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.