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What do double-check routines actually detect? An observational assessment and qualitative analysis of identified inconsistencies

OBJECTIVES: Double checking is used in oncology to detect medication errors before administering chemotherapy. The objectives of the study were to determine the frequency of detected potential medication errors, i.e., mismatching information, and to better understand the nature of these inconsistenc...

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Autores principales: Pfeiffer, Yvonne, Zimmermann, Chantal, Schwappach, David L. B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500291/
https://www.ncbi.nlm.nih.gov/pubmed/32948574
http://dx.doi.org/10.1136/bmjopen-2020-039291
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author Pfeiffer, Yvonne
Zimmermann, Chantal
Schwappach, David L. B.
author_facet Pfeiffer, Yvonne
Zimmermann, Chantal
Schwappach, David L. B.
author_sort Pfeiffer, Yvonne
collection PubMed
description OBJECTIVES: Double checking is used in oncology to detect medication errors before administering chemotherapy. The objectives of the study were to determine the frequency of detected potential medication errors, i.e., mismatching information, and to better understand the nature of these inconsistencies. DESIGN: In observing checking procedures, field noteswere taken of all inconsistencies that nurses identified during double checking the order against the prepared chemotherapy. SETTING: Oncological wards and ambulatory infusion centres of three Swiss hospitals. PARTICIPANTS: Nurses’ double checking was observed. OUTCOME MEASURES: In a qualitative analysis, (1) a category system for the inconsistencies was developed and (2) independently applied by two researchers. RESULTS: In 22 (3.2%) of 690 observed double checks, 28 chemotherapy-related inconsistencies were detected. Half of them related to non-matching information between order and drug label, while the other half was identified because the nurses used their own knowledge. 75% of the inconsistencies could be traced back to inappropriate orders, and the inconsistencies led to 33 subsequent or corrective actions. CONCLUSIONS: In double check situations, the plausibility of the medication is often reviewed. Additionally, they serve as a correction for errors and that are made much earlier in the medication process, during order. Both results open up new opportunities for improving the medication process.
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spelling pubmed-75002912020-10-05 What do double-check routines actually detect? An observational assessment and qualitative analysis of identified inconsistencies Pfeiffer, Yvonne Zimmermann, Chantal Schwappach, David L. B. BMJ Open Oncology OBJECTIVES: Double checking is used in oncology to detect medication errors before administering chemotherapy. The objectives of the study were to determine the frequency of detected potential medication errors, i.e., mismatching information, and to better understand the nature of these inconsistencies. DESIGN: In observing checking procedures, field noteswere taken of all inconsistencies that nurses identified during double checking the order against the prepared chemotherapy. SETTING: Oncological wards and ambulatory infusion centres of three Swiss hospitals. PARTICIPANTS: Nurses’ double checking was observed. OUTCOME MEASURES: In a qualitative analysis, (1) a category system for the inconsistencies was developed and (2) independently applied by two researchers. RESULTS: In 22 (3.2%) of 690 observed double checks, 28 chemotherapy-related inconsistencies were detected. Half of them related to non-matching information between order and drug label, while the other half was identified because the nurses used their own knowledge. 75% of the inconsistencies could be traced back to inappropriate orders, and the inconsistencies led to 33 subsequent or corrective actions. CONCLUSIONS: In double check situations, the plausibility of the medication is often reviewed. Additionally, they serve as a correction for errors and that are made much earlier in the medication process, during order. Both results open up new opportunities for improving the medication process. BMJ Publishing Group 2020-09-17 /pmc/articles/PMC7500291/ /pubmed/32948574 http://dx.doi.org/10.1136/bmjopen-2020-039291 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/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 Oncology
Pfeiffer, Yvonne
Zimmermann, Chantal
Schwappach, David L. B.
What do double-check routines actually detect? An observational assessment and qualitative analysis of identified inconsistencies
title What do double-check routines actually detect? An observational assessment and qualitative analysis of identified inconsistencies
title_full What do double-check routines actually detect? An observational assessment and qualitative analysis of identified inconsistencies
title_fullStr What do double-check routines actually detect? An observational assessment and qualitative analysis of identified inconsistencies
title_full_unstemmed What do double-check routines actually detect? An observational assessment and qualitative analysis of identified inconsistencies
title_short What do double-check routines actually detect? An observational assessment and qualitative analysis of identified inconsistencies
title_sort what do double-check routines actually detect? an observational assessment and qualitative analysis of identified inconsistencies
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500291/
https://www.ncbi.nlm.nih.gov/pubmed/32948574
http://dx.doi.org/10.1136/bmjopen-2020-039291
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