Literature DB >> 19591531

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

Peter C Wierenga1, Loraine Lie-A-Huen, Sophia E de Rooij, Niek S Klazinga, Henk-Jan Guchelaar, Susanne M Smorenburg.   

Abstract

BACKGROUND: To 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.
METHODS: The 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.
RESULTS: The 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.
CONCLUSION: We 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.

Entities:  

Mesh:

Year:  2009        PMID: 19591531     DOI: 10.2165/00002018-200932080-00005

Source DB:  PubMed          Journal:  Drug Saf        ISSN: 0114-5916            Impact factor:   5.606


  25 in total

1.  Adverse events in British hospitals: preliminary retrospective record review.

Authors:  C Vincent; G Neale; M Woloshynowych
Journal:  BMJ       Date:  2001-03-03

Review 2.  Medication errors: hospital pharmacist perspective.

Authors:  Henk-Jan Guchelaar; Hadewig B B Colen; Mathijs D Kalmeijer; Patrick T W Hudson; Irene M Teepe-Twiss
Journal:  Drugs       Date:  2005       Impact factor: 9.546

Review 3.  Failure mode and effects analysis application to critical care medicine.

Authors:  Beau Duwe; Barry D Fuchs; John Hansen-Flaschen
Journal:  Crit Care Clin       Date:  2005-01       Impact factor: 3.598

Review 4.  Using failure mode and effects analysis to plan implementation of smart i.v. pump technology.

Authors:  Tosha B Wetterneck; Kathleen A Skibinski; Tanita L Roberts; Susan M Kleppin; Mark E Schroeder; Myra Enloe; Steven S Rough; Ann Schoofs Hundt; Pascale Carayon
Journal:  Am J Health Syst Pharm       Date:  2006-08-15       Impact factor: 2.637

5.  Adverse drug events caused by medication errors in medical inpatients.

Authors:  Beat Hardmeier; Suzanne Braunschweig; Marzia Cavallaro; Malgorzata Roos; Christiane Pauli-Magnus; Max Giger; Peter J Meier; Karin Fattinger
Journal:  Swiss Med Wkly       Date:  2004-11-13       Impact factor: 2.193

6.  The nature of adverse events in hospitalized patients. Results of the Harvard Medical Practice Study II.

Authors:  L L Leape; T A Brennan; N Laird; A G Lawthers; A R Localio; B A Barnes; L Hebert; J P Newhouse; P C Weiler; H Hiatt
Journal:  N Engl J Med       Date:  1991-02-07       Impact factor: 91.245

7.  Medication errors in the outpatient setting: classification and root cause analysis.

Authors:  Amy L Friedman; Sarah R Geoghegan; Noelle M Sowers; Sanjay Kulkarni; Richard N Formica
Journal:  Arch Surg       Date:  2007-03

8.  The Quality in Australian Health Care Study.

Authors:  R M Wilson; W B Runciman; R W Gibberd; B T Harrison; L Newby; J D Hamilton
Journal:  Med J Aust       Date:  1995-11-06       Impact factor: 7.738

9.  Using failure mode effects and criticality analysis for high-risk processes at three community hospitals.

Authors:  Garill Coles; Becky Fuller; Kathleen Nordquist; Anita Kongslie
Journal:  Jt Comm J Qual Patient Saf       Date:  2005-03

10.  The Canadian Adverse Events Study: the incidence of adverse events among hospital patients in Canada.

Authors:  G Ross Baker; Peter G Norton; Virginia Flintoft; Régis Blais; Adalsteinn Brown; Jafna Cox; Ed Etchells; William A Ghali; Philip Hébert; Sumit R Majumdar; Maeve O'Beirne; Luz Palacios-Derflingher; Robert J Reid; Sam Sheps; Robyn Tamblyn
Journal:  CMAJ       Date:  2004-05-25       Impact factor: 8.262

View more
  8 in total

1.  Risk analysis and user satisfaction after implementation of computerized physician order entry in Dutch hospitals.

Authors:  Willem van der Veen; Han J J de Gier; Tjerk van der Schaaf; Katja Taxis; Patricia M L A van den Bemt
Journal:  Int J Clin Pharm       Date:  2012-11-28

2.  The effect of an active on-ward participation of hospital pharmacists in Internal Medicine teams on preventable Adverse Drug Events in elderly inpatients: protocol of the WINGS study (Ward-oriented pharmacy in newly admitted geriatric seniors).

Authors:  Joanna E Klopotowska; Peter C Wierenga; Sophia E de Rooij; Clementine C Stuijt; Lambertus Arisz; Paul F Kuks; Marcel G Dijkgraaf; Loraine Lie-A-Huen; Susanne M Smorenburg
Journal:  BMC Health Serv Res       Date:  2011-05-25       Impact factor: 2.655

3.  Minimising drug errors in critically ill patients.

Authors:  Andrew Carson-Stevens; Christopher D Hingston; Matt P Wise
Journal:  Crit Care       Date:  2011-01-11       Impact factor: 9.097

Review 4.  Risk Management in Executive Levels of Healthcare Organizations: Insights from a Scoping Review (2018).

Authors:  Masoud Ferdosi; Reza Rezayatmand; Yasamin Molavi Taleghani
Journal:  Risk Manag Healthc Policy       Date:  2020-03-19

5.  Application of bow tie analysis and inherently safer design to the novel coronavirus hazard.

Authors:  Kayleigh Rayner Brown; Peter VanBerkel; Faisal I Khan; Paul R Amyotte
Journal:  Process Saf Environ Prot       Date:  2021-07-01       Impact factor: 6.158

6.  The ecometric properties of a measurement instrument for prospective risk analysis in hospital departments.

Authors:  Steffie M van Schoten; Rebecca J Baines; Peter Spreeuwenberg; Martine C de Bruijne; Peter P Groenewegen; Jop Groeneweg; Cordula Wagner
Journal:  BMC Health Serv Res       Date:  2014-03-03       Impact factor: 2.655

Review 7.  The Bowtie diagram: a simple tool for analysis and planning in anesthesia.

Authors:  Martin D Culwick; Yasmin Endlich; Stavros N Prineas
Journal:  Curr Opin Anaesthesiol       Date:  2020-12       Impact factor: 2.706

8.  The pharmacotherapy team: A novel strategy to improve appropriate in-hospital prescribing using a participatory intervention action method.

Authors:  Rashudy F Mahomedradja; Kim C E Sigaloff; Jessica K Bekema; Marieke J H J Dekker; David J Brinkman; Marianne A Kuijvenhoven; Marlou L H van Beneden; Birgit I Lissenberg-Witte; Jelle Tichelaar; Michiel A van Agtmael
Journal:  Br J Clin Pharmacol       Date:  2020-07-09       Impact factor: 3.716

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.