Skip to main content

Enhancing Patient Safety in Healthcare Settings: A Systematic Investigation Framework to Reduce Medication Errors

  • Conference paper
  • First Online:
Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021) (IEA 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 222))

Included in the following conference series:

Abstract

Preventable medication errors affect more than 7 million patients each year and cost almost $21 billion annually across all healthcare settings. Medication administration errors (MAEs) are identified to be highly occurring and one of the most severe among other categories of medication errors.

Despite some developed studies on analyzing medication errors, there is a need for the development of more robust, systematic methodologies to investigate their contributing causes and provide preventive measures to avoid their recurrence. This study proposes a systematic investigation framework, by adopting the AcciMap methodology originally developed by Rasmussen in 1997, to analyze contributing causes of MAEs and provides context-specific recommendations to reduce the instances of those errors.

The AcciMap methodology is a hierarchical, multi-layered framework with each layer representing a main group of involved players. The layers of the AcciMap framework in this study, from top to bottom, are: Government and Regulatory Bodies; Hospital; Management; Staff (e.g. physicians and nurses administering medications); and Work Processes, Events, and Conditions. It is noteworthy that not only does the AcciMap capture different socio-technical factors that contributed to MAEs across its layers, but also it depicts the interactions of those layers and their involved players.

The analysis of our developed AcciMap framework shows that both internal (to an organization) and external factors contributed to MAEs. Furthermore, organizational factors, among internal factors, have been identified as the root cause of questionable decisions made by staff and management. Factors such as economic pressure, inadequate training infrastructure, and ineffective communication were among influential organizational factors contributed to MAEs.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. da Silva, B.A., Krishnamurthy, M.: The alarming reality of medication error: a patient case and review of Pennsylvania and National data. J. Commun. Hosp. Intern. Med. Perspect. 6(4), 31758 (2016)

    Article  Google Scholar 

  2. American Hospital Association (AHA). Fast Facts on US Hospitals. AHA Hospital Statistics. (2020). https://www.aha.org/system/files/media/file/2020/01/2020-aha-hospital-fast-facts-new-Jan-2020.pdf. Accessed 28 Jan 2021

  3. Buck, C.: Application of Six Sigma to reduce medical errors. In: ASQ World Conference on Quality and Improvement Proceedings, p. 739. American Society for Quality (January 2001)

    Google Scholar 

  4. Kumar, S., Steinebach, M.: Eliminating US hospital medical errors. Int. J. Health Care Qual. Assur. 21(5), 444–471 (2008)

    Article  Google Scholar 

  5. Al-Kuwaiti, A.: Application of Six Sigma methodology to reduce medication errors in the outpatient pharmacy unit: a case study from the King Fahd University Hospital. Saudi Arabia. Int. J. Qual. Res. 10(2), 267–278 (2016)

    Google Scholar 

  6. Teixeira, T.C., de Cassiani, S.H.: Root cause analysis: evaluation of medication errors at a university hospital. Rev. Esc. Enferm. USP 44, 139–146 (2010)

    Article  Google Scholar 

  7. Chiozza, M.L., Ponzetti, C.: FMEA: a model for reducing medical errors. Clin. Chim. Acta 404, 75–78 (2009)

    Article  Google Scholar 

  8. Montesi, G., Lechi, A.: Prevention of medication errors: detection and audit. Br. J. Clin. Pharmacol. 67, 651–655 (2009)

    Article  Google Scholar 

  9. Cherian, S.M.: Fault tree analysis of commonly occurring medication errors and methods to reduce them. Texas A&M University (1994)

    Google Scholar 

  10. Tabibzadeh, M., Muralidharan, A.: Reducing medication errors and increasing patient safety: utilizing the fault tree analysis. In: N.J. Lightner (eds), Advances in Human Factors and Ergonomics in Healthcare and Medical Devices. Advances in Intelligent Systems and Computing, vol. 779, pp. 207–218, Springer, Cham (2019)

    Google Scholar 

  11. Keers, R.N., William, S.D., Cooke, J., Ashcroft, S.D.: Causes of medication administration errors in hospitals: a systematic review of quantitative and qualitative evidence. Drug Saf. 36, 1045–1067 (2013)

    Article  Google Scholar 

  12. Keers, R.N., William, S.D., Cooke, J., Ashcroft, S.D.: Understanding the causes of intravenous medication administration errors in hospitals: a qualitative critical incident study. BMJ Open 5, (2015). https://doi.org/10.1136/bmjopen-2014-005948

    Article  Google Scholar 

  13. Tsegaye, D., Alem, G., Tessema, Z., Alebachew, W.: Medication administration errors and associated factors among nurses. Int. J. Gen. Med. 13, 1621–1632 (2020)

    Article  Google Scholar 

  14. Rasmussen, J.: Risk management in a dynamic society: a modeling problem. Safe. Sci. 27(2), 183–213 (1997)

    Article  Google Scholar 

  15. Rasmussen, J., Svedung, I.: Proactive Risk Management in a Dynamic Society. First edn, Raddningsverket, Risk and Environmental Department, Swedish Rescue Services Agency, Karlstad, Sweden (2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Maryam Tabibzadeh .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Tabibzadeh, M., Mokhtari, M. (2021). Enhancing Patient Safety in Healthcare Settings: A Systematic Investigation Framework to Reduce Medication Errors. In: Black, N.L., Neumann, W.P., Noy, I. (eds) Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021). IEA 2021. Lecture Notes in Networks and Systems, vol 222. Springer, Cham. https://doi.org/10.1007/978-3-030-74611-7_63

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-74611-7_63

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-74610-0

  • Online ISBN: 978-3-030-74611-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics