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Clinical observations and a Healthcare Failure Mode and Effect Analysis to identify vulnerabilities in the security and accounting of medications in Ontario hospitals: a study protocol
INTRODUCTION: An increasing number of opioids and other controlled substances are being stolen from healthcare facilities, diverting medications from their intended medical use to be used or sold illicitly. Many incidents of medication loss from Canadian hospitals are reported as unexplained losses....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609086/ https://www.ncbi.nlm.nih.gov/pubmed/31256028 http://dx.doi.org/10.1136/bmjopen-2018-027629 |
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author | de Vries, Maaike Fan, Mark Tscheng, Dorothy Hamilton, Michael Trbovich, Patricia |
author_facet | de Vries, Maaike Fan, Mark Tscheng, Dorothy Hamilton, Michael Trbovich, Patricia |
author_sort | de Vries, Maaike |
collection | PubMed |
description | INTRODUCTION: An increasing number of opioids and other controlled substances are being stolen from healthcare facilities, diverting medications from their intended medical use to be used or sold illicitly. Many incidents of medication loss from Canadian hospitals are reported as unexplained losses. Together, this suggests not only that vulnerabilities for diversion exist within current medication-use processes (MUPs), but that hospitals lack robust mechanisms to accurately track and account for discrepancies and loss in inventory. There is a paucity of primary research investigating vulnerabilities in the security and accounting of medications across hospital processes. The purpose of this study is to map hospital MUPs, systematically identify risks for diversion or unintentional loss and proactively assess opportunities for improvements to medication accounting and security. METHODS AND ANALYSIS: We will conduct human factors-informed clinical observations and a Healthcare Failure Mode and Effect Analysis (HFMEA). We will observe hospital personnel in the intensive care unit, emergency department and inpatient pharmacy in two hospitals in Ontario, Canada. Observations will capture how participants complete tasks, as well as gather contextual information about the environment, technologies and processes. A multidisciplinary team will complete an HFMEA to map process flow diagrams for the MUPs in the observed clinical units, identify and prioritise potential methods of medication loss (failure modes) and describe mechanisms or actions to prevent, detect and trace medication loss. ETHICS AND DISSEMINATION: We received province-wide research ethics approval via Clinical Trials Ontario Streamlined Research Review System, and site-specific approvals from each participating hospital. The results from this study will be presented at conferences and meetings, as well as published in peer-reviewed journals. The findings will be shared with hospitals; professional, regulatory and accreditation organisations; patient safety and healthcare quality organisations and equipment and drug manufacturers. |
format | Online Article Text |
id | pubmed-6609086 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-66090862019-07-19 Clinical observations and a Healthcare Failure Mode and Effect Analysis to identify vulnerabilities in the security and accounting of medications in Ontario hospitals: a study protocol de Vries, Maaike Fan, Mark Tscheng, Dorothy Hamilton, Michael Trbovich, Patricia BMJ Open Health Services Research INTRODUCTION: An increasing number of opioids and other controlled substances are being stolen from healthcare facilities, diverting medications from their intended medical use to be used or sold illicitly. Many incidents of medication loss from Canadian hospitals are reported as unexplained losses. Together, this suggests not only that vulnerabilities for diversion exist within current medication-use processes (MUPs), but that hospitals lack robust mechanisms to accurately track and account for discrepancies and loss in inventory. There is a paucity of primary research investigating vulnerabilities in the security and accounting of medications across hospital processes. The purpose of this study is to map hospital MUPs, systematically identify risks for diversion or unintentional loss and proactively assess opportunities for improvements to medication accounting and security. METHODS AND ANALYSIS: We will conduct human factors-informed clinical observations and a Healthcare Failure Mode and Effect Analysis (HFMEA). We will observe hospital personnel in the intensive care unit, emergency department and inpatient pharmacy in two hospitals in Ontario, Canada. Observations will capture how participants complete tasks, as well as gather contextual information about the environment, technologies and processes. A multidisciplinary team will complete an HFMEA to map process flow diagrams for the MUPs in the observed clinical units, identify and prioritise potential methods of medication loss (failure modes) and describe mechanisms or actions to prevent, detect and trace medication loss. ETHICS AND DISSEMINATION: We received province-wide research ethics approval via Clinical Trials Ontario Streamlined Research Review System, and site-specific approvals from each participating hospital. The results from this study will be presented at conferences and meetings, as well as published in peer-reviewed journals. The findings will be shared with hospitals; professional, regulatory and accreditation organisations; patient safety and healthcare quality organisations and equipment and drug manufacturers. BMJ Publishing Group 2019-06-29 /pmc/articles/PMC6609086/ /pubmed/31256028 http://dx.doi.org/10.1136/bmjopen-2018-027629 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Health Services Research de Vries, Maaike Fan, Mark Tscheng, Dorothy Hamilton, Michael Trbovich, Patricia Clinical observations and a Healthcare Failure Mode and Effect Analysis to identify vulnerabilities in the security and accounting of medications in Ontario hospitals: a study protocol |
title | Clinical observations and a Healthcare Failure Mode and Effect Analysis to identify vulnerabilities in the security and accounting of medications in Ontario hospitals: a study protocol |
title_full | Clinical observations and a Healthcare Failure Mode and Effect Analysis to identify vulnerabilities in the security and accounting of medications in Ontario hospitals: a study protocol |
title_fullStr | Clinical observations and a Healthcare Failure Mode and Effect Analysis to identify vulnerabilities in the security and accounting of medications in Ontario hospitals: a study protocol |
title_full_unstemmed | Clinical observations and a Healthcare Failure Mode and Effect Analysis to identify vulnerabilities in the security and accounting of medications in Ontario hospitals: a study protocol |
title_short | Clinical observations and a Healthcare Failure Mode and Effect Analysis to identify vulnerabilities in the security and accounting of medications in Ontario hospitals: a study protocol |
title_sort | clinical observations and a healthcare failure mode and effect analysis to identify vulnerabilities in the security and accounting of medications in ontario hospitals: a study protocol |
topic | Health Services Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609086/ https://www.ncbi.nlm.nih.gov/pubmed/31256028 http://dx.doi.org/10.1136/bmjopen-2018-027629 |
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