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Bedside check of medication appropriateness (BED-CMA) as a risk-based tool for bedside clinical pharmacy services: A proof-of-concept study at the trauma surgery ward

BACKGROUND: Bedside clinical pharmacy prevents drug-related problems, but is not feasible in many countries due to limited resources. Hence, clinical rules using structural information in the electronic health record can help identifying potentially inappropriate prescriptions (PIPs). We aimed to de...

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Autores principales: Van De Sijpe, Greet, Hublou, Wencke, Declercq, Peter, Metsemakers, Willem-Jan, Sermon, An, Casteels, Minne, Foulon, Veerle, Quintens, Charlotte, Spriet, Isabel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656193/
https://www.ncbi.nlm.nih.gov/pubmed/38022766
http://dx.doi.org/10.1016/j.csbj.2023.10.017
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author Van De Sijpe, Greet
Hublou, Wencke
Declercq, Peter
Metsemakers, Willem-Jan
Sermon, An
Casteels, Minne
Foulon, Veerle
Quintens, Charlotte
Spriet, Isabel
author_facet Van De Sijpe, Greet
Hublou, Wencke
Declercq, Peter
Metsemakers, Willem-Jan
Sermon, An
Casteels, Minne
Foulon, Veerle
Quintens, Charlotte
Spriet, Isabel
author_sort Van De Sijpe, Greet
collection PubMed
description BACKGROUND: Bedside clinical pharmacy prevents drug-related problems, but is not feasible in many countries due to limited resources. Hence, clinical rules using structural information in the electronic health record can help identifying potentially inappropriate prescriptions (PIPs). We aimed to develop and implement a risk-based clinical pharmacy service and evaluate its impact on prescribing at the trauma surgery ward. METHODS: The proportion of residual PIPs per day, i.e. the number of PIPs that persisted up to 24 h after pharmacist intervention divided by the number of PIPs at T0, was evaluated before and after implementation of the intervention in an interrupted time series analysis. The pre-intervention cohort received usual pharmacy services, i.e. a 0.3 FTE clinical pharmacist trainee. Fifteen clinical rules, targeting antimicrobial, anticoagulant and analgesic therapy were implemented in the post-intervention period. The pre-intervention period was compared to two post-intervention scenarios: A) clinical rule alerts reviewed by a 0.3 FTE clinical pharmacist trainee; and B) clinical rule alerts reviewed daily for approximately 1 h by a clinical pharmacist trainee. RESULTS: Pre-intervention, a median proportion of 67% (range 0%−100%) residual PIPs per day was observed. Scenario A showed an immediate relative reduction of 14% (p = 0.72) and scenario B a significant immediate relative reduction of 85% (p = 0.0015) in residual PIPs per day. In scenario A, recommendations were provided for 19% of clinical rule alerts, of which 67% was accepted by the surgeon within 24 h. In scenario B, recommendations were given for 56% of alerts, of which 84% was accepted. CONCLUSIONS: Using clinical rules is an effective approach to organize bedside clinical pharmacy services and improves prescribing at the trauma surgery ward. Advanced training and daily follow-up of the clinical rules are two requirements to be considered.
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spelling pubmed-106561932023-10-21 Bedside check of medication appropriateness (BED-CMA) as a risk-based tool for bedside clinical pharmacy services: A proof-of-concept study at the trauma surgery ward Van De Sijpe, Greet Hublou, Wencke Declercq, Peter Metsemakers, Willem-Jan Sermon, An Casteels, Minne Foulon, Veerle Quintens, Charlotte Spriet, Isabel Comput Struct Biotechnol J Research Article BACKGROUND: Bedside clinical pharmacy prevents drug-related problems, but is not feasible in many countries due to limited resources. Hence, clinical rules using structural information in the electronic health record can help identifying potentially inappropriate prescriptions (PIPs). We aimed to develop and implement a risk-based clinical pharmacy service and evaluate its impact on prescribing at the trauma surgery ward. METHODS: The proportion of residual PIPs per day, i.e. the number of PIPs that persisted up to 24 h after pharmacist intervention divided by the number of PIPs at T0, was evaluated before and after implementation of the intervention in an interrupted time series analysis. The pre-intervention cohort received usual pharmacy services, i.e. a 0.3 FTE clinical pharmacist trainee. Fifteen clinical rules, targeting antimicrobial, anticoagulant and analgesic therapy were implemented in the post-intervention period. The pre-intervention period was compared to two post-intervention scenarios: A) clinical rule alerts reviewed by a 0.3 FTE clinical pharmacist trainee; and B) clinical rule alerts reviewed daily for approximately 1 h by a clinical pharmacist trainee. RESULTS: Pre-intervention, a median proportion of 67% (range 0%−100%) residual PIPs per day was observed. Scenario A showed an immediate relative reduction of 14% (p = 0.72) and scenario B a significant immediate relative reduction of 85% (p = 0.0015) in residual PIPs per day. In scenario A, recommendations were provided for 19% of clinical rule alerts, of which 67% was accepted by the surgeon within 24 h. In scenario B, recommendations were given for 56% of alerts, of which 84% was accepted. CONCLUSIONS: Using clinical rules is an effective approach to organize bedside clinical pharmacy services and improves prescribing at the trauma surgery ward. Advanced training and daily follow-up of the clinical rules are two requirements to be considered. Research Network of Computational and Structural Biotechnology 2023-10-21 /pmc/articles/PMC10656193/ /pubmed/38022766 http://dx.doi.org/10.1016/j.csbj.2023.10.017 Text en © 2023 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Van De Sijpe, Greet
Hublou, Wencke
Declercq, Peter
Metsemakers, Willem-Jan
Sermon, An
Casteels, Minne
Foulon, Veerle
Quintens, Charlotte
Spriet, Isabel
Bedside check of medication appropriateness (BED-CMA) as a risk-based tool for bedside clinical pharmacy services: A proof-of-concept study at the trauma surgery ward
title Bedside check of medication appropriateness (BED-CMA) as a risk-based tool for bedside clinical pharmacy services: A proof-of-concept study at the trauma surgery ward
title_full Bedside check of medication appropriateness (BED-CMA) as a risk-based tool for bedside clinical pharmacy services: A proof-of-concept study at the trauma surgery ward
title_fullStr Bedside check of medication appropriateness (BED-CMA) as a risk-based tool for bedside clinical pharmacy services: A proof-of-concept study at the trauma surgery ward
title_full_unstemmed Bedside check of medication appropriateness (BED-CMA) as a risk-based tool for bedside clinical pharmacy services: A proof-of-concept study at the trauma surgery ward
title_short Bedside check of medication appropriateness (BED-CMA) as a risk-based tool for bedside clinical pharmacy services: A proof-of-concept study at the trauma surgery ward
title_sort bedside check of medication appropriateness (bed-cma) as a risk-based tool for bedside clinical pharmacy services: a proof-of-concept study at the trauma surgery ward
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656193/
https://www.ncbi.nlm.nih.gov/pubmed/38022766
http://dx.doi.org/10.1016/j.csbj.2023.10.017
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