Cargando…
Application of failure mode and effects analysis (FMEA) to improve medication safety in the dispensing process – a study at a teaching hospital, Sri Lanka
BACKGROUND: Failure mode and effects analysis (FMEA) is a prospective, team based, structured process used to identify system failures of high risk processes before they occur. Medication dispensing is a risky process that should be analysed for its inherent risks using FMEA. The objective of this s...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8293514/ https://www.ncbi.nlm.nih.gov/pubmed/34284737 http://dx.doi.org/10.1186/s12889-021-11369-5 |
_version_ | 1783725055462604800 |
---|---|
author | Anjalee, J. A. L. Rutter, V. Samaranayake, N. R. |
author_facet | Anjalee, J. A. L. Rutter, V. Samaranayake, N. R. |
author_sort | Anjalee, J. A. L. |
collection | PubMed |
description | BACKGROUND: Failure mode and effects analysis (FMEA) is a prospective, team based, structured process used to identify system failures of high risk processes before they occur. Medication dispensing is a risky process that should be analysed for its inherent risks using FMEA. The objective of this study was to identify possible failure modes, their effects, and causes in the dispensing process of a selected tertiary care hospital using FMEA. METHODS: Two independent teams (Team A and Team B) of pharmacists conducted the FMEA for two months in the Department of Pharmacy of a selected teaching hospital, Colombo, Sri Lanka. Each team had five meetings of two hours each, where the dispensing process and sub processes were mapped, and possible failure modes, their effects, and causes, were identified. A score for potential severity (S), frequency (F) and detectability (D) was assigned for each failure mode. Risk Priority Numbers (RPNs) were calculated (RPN=SxFxD), and identified failure modes were prioritised. RESULTS: Team A identified 48 failure modes while Team B identified 42. Among all 90 failure modes, 69 were common to both teams. Team A prioritised 36 failure modes, while Team B prioritised 30 failure modes for corrective action using the scores. Both teams identified overcrowded dispensing counters as a cause for 57 failure modes. Redesigning of dispensing tables, dispensing labels, the dispensing and medication re-packing processes, and establishing a patient counseling unit, were the major suggestions for correction. CONCLUSION: FMEA was successfully used to identify and prioritise possible failure modes of the dispensing process through the active involvement of pharmacists. |
format | Online Article Text |
id | pubmed-8293514 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82935142021-07-21 Application of failure mode and effects analysis (FMEA) to improve medication safety in the dispensing process – a study at a teaching hospital, Sri Lanka Anjalee, J. A. L. Rutter, V. Samaranayake, N. R. BMC Public Health Research BACKGROUND: Failure mode and effects analysis (FMEA) is a prospective, team based, structured process used to identify system failures of high risk processes before they occur. Medication dispensing is a risky process that should be analysed for its inherent risks using FMEA. The objective of this study was to identify possible failure modes, their effects, and causes in the dispensing process of a selected tertiary care hospital using FMEA. METHODS: Two independent teams (Team A and Team B) of pharmacists conducted the FMEA for two months in the Department of Pharmacy of a selected teaching hospital, Colombo, Sri Lanka. Each team had five meetings of two hours each, where the dispensing process and sub processes were mapped, and possible failure modes, their effects, and causes, were identified. A score for potential severity (S), frequency (F) and detectability (D) was assigned for each failure mode. Risk Priority Numbers (RPNs) were calculated (RPN=SxFxD), and identified failure modes were prioritised. RESULTS: Team A identified 48 failure modes while Team B identified 42. Among all 90 failure modes, 69 were common to both teams. Team A prioritised 36 failure modes, while Team B prioritised 30 failure modes for corrective action using the scores. Both teams identified overcrowded dispensing counters as a cause for 57 failure modes. Redesigning of dispensing tables, dispensing labels, the dispensing and medication re-packing processes, and establishing a patient counseling unit, were the major suggestions for correction. CONCLUSION: FMEA was successfully used to identify and prioritise possible failure modes of the dispensing process through the active involvement of pharmacists. BioMed Central 2021-07-20 /pmc/articles/PMC8293514/ /pubmed/34284737 http://dx.doi.org/10.1186/s12889-021-11369-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Anjalee, J. A. L. Rutter, V. Samaranayake, N. R. Application of failure mode and effects analysis (FMEA) to improve medication safety in the dispensing process – a study at a teaching hospital, Sri Lanka |
title | Application of failure mode and effects analysis (FMEA) to improve medication safety in the dispensing process – a study at a teaching hospital, Sri Lanka |
title_full | Application of failure mode and effects analysis (FMEA) to improve medication safety in the dispensing process – a study at a teaching hospital, Sri Lanka |
title_fullStr | Application of failure mode and effects analysis (FMEA) to improve medication safety in the dispensing process – a study at a teaching hospital, Sri Lanka |
title_full_unstemmed | Application of failure mode and effects analysis (FMEA) to improve medication safety in the dispensing process – a study at a teaching hospital, Sri Lanka |
title_short | Application of failure mode and effects analysis (FMEA) to improve medication safety in the dispensing process – a study at a teaching hospital, Sri Lanka |
title_sort | application of failure mode and effects analysis (fmea) to improve medication safety in the dispensing process – a study at a teaching hospital, sri lanka |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8293514/ https://www.ncbi.nlm.nih.gov/pubmed/34284737 http://dx.doi.org/10.1186/s12889-021-11369-5 |
work_keys_str_mv | AT anjaleejal applicationoffailuremodeandeffectsanalysisfmeatoimprovemedicationsafetyinthedispensingprocessastudyatateachinghospitalsrilanka AT rutterv applicationoffailuremodeandeffectsanalysisfmeatoimprovemedicationsafetyinthedispensingprocessastudyatateachinghospitalsrilanka AT samaranayakenr applicationoffailuremodeandeffectsanalysisfmeatoimprovemedicationsafetyinthedispensingprocessastudyatateachinghospitalsrilanka |