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Predictive factors for clinically significant pharmacist interventions at hospital admission
Pharmaceutical care activities at hospital admission have a significant impact on patient safety. The objective of this study was to identify predictive factors for clinically significant pharmacist interventions (PIs) performed during medication reconciliation and medication review at patient hospi...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5851721/ https://www.ncbi.nlm.nih.gov/pubmed/29489684 http://dx.doi.org/10.1097/MD.0000000000009865 |
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author | Mongaret, Céline Quillet, Pauline Vo, Thi Ha Aubert, Léa Fourgeaud, Mathieu Michelet-Huot, Elise Bonnet, Morgane Bedouch, Pierrick Slimano, Florian Gangloff, Sophie C. Drame, Moustapha Hettler, Dominique |
author_facet | Mongaret, Céline Quillet, Pauline Vo, Thi Ha Aubert, Léa Fourgeaud, Mathieu Michelet-Huot, Elise Bonnet, Morgane Bedouch, Pierrick Slimano, Florian Gangloff, Sophie C. Drame, Moustapha Hettler, Dominique |
author_sort | Mongaret, Céline |
collection | PubMed |
description | Pharmaceutical care activities at hospital admission have a significant impact on patient safety. The objective of this study was to identify predictive factors for clinically significant pharmacist interventions (PIs) performed during medication reconciliation and medication review at patient hospital admission. A 4-week prospective study was conducted in 4 medicine wards. At hospital admission, medication reconciliation and medication review were conducted and PIs were performed by the pharmaceutical team. The clinical impact of PIs was determined using the clinical economic and organizational (CLEO) tool. Clinical characteristics, laboratory results, and medication data for each patient were collected and analyzed as potential predictive factors of clinically significant PIs. Univariate and multivariate binary logistic regression were subsequently used to identify independent predictive factors for clinically relevant PIs. Among 265 patients admitted, 150 patients were included. Among 170 PIs performed at hospital admission, 71 were related to unintentional discrepancies (41.8%) during medication reconciliation, and 99 were related to drug-related problems (DRPs) (58.8%) during medication review. Overall, 115 PIs (67.7%) were considered to have a clinical impact. By multivariate analysis, number of medications ≥5 (P = .01) based on the best possible medication history, and Charlson comorbidity index score ≥2 (P < .01) were found to be independent predictive factors of clinically significant PIs at hospital admission. Identifying predictive factors of clinically significant PIs is valuable to optimize clinical pharmacist practices at hospital admission during both medication reconciliation and medication review. These 2 steps of the pharmaceutical care process improve medication safety at hospital admission. |
format | Online Article Text |
id | pubmed-5851721 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-58517212018-03-21 Predictive factors for clinically significant pharmacist interventions at hospital admission Mongaret, Céline Quillet, Pauline Vo, Thi Ha Aubert, Léa Fourgeaud, Mathieu Michelet-Huot, Elise Bonnet, Morgane Bedouch, Pierrick Slimano, Florian Gangloff, Sophie C. Drame, Moustapha Hettler, Dominique Medicine (Baltimore) 4200 Pharmaceutical care activities at hospital admission have a significant impact on patient safety. The objective of this study was to identify predictive factors for clinically significant pharmacist interventions (PIs) performed during medication reconciliation and medication review at patient hospital admission. A 4-week prospective study was conducted in 4 medicine wards. At hospital admission, medication reconciliation and medication review were conducted and PIs were performed by the pharmaceutical team. The clinical impact of PIs was determined using the clinical economic and organizational (CLEO) tool. Clinical characteristics, laboratory results, and medication data for each patient were collected and analyzed as potential predictive factors of clinically significant PIs. Univariate and multivariate binary logistic regression were subsequently used to identify independent predictive factors for clinically relevant PIs. Among 265 patients admitted, 150 patients were included. Among 170 PIs performed at hospital admission, 71 were related to unintentional discrepancies (41.8%) during medication reconciliation, and 99 were related to drug-related problems (DRPs) (58.8%) during medication review. Overall, 115 PIs (67.7%) were considered to have a clinical impact. By multivariate analysis, number of medications ≥5 (P = .01) based on the best possible medication history, and Charlson comorbidity index score ≥2 (P < .01) were found to be independent predictive factors of clinically significant PIs at hospital admission. Identifying predictive factors of clinically significant PIs is valuable to optimize clinical pharmacist practices at hospital admission during both medication reconciliation and medication review. These 2 steps of the pharmaceutical care process improve medication safety at hospital admission. Wolters Kluwer Health 2018-03-02 /pmc/articles/PMC5851721/ /pubmed/29489684 http://dx.doi.org/10.1097/MD.0000000000009865 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 |
spellingShingle | 4200 Mongaret, Céline Quillet, Pauline Vo, Thi Ha Aubert, Léa Fourgeaud, Mathieu Michelet-Huot, Elise Bonnet, Morgane Bedouch, Pierrick Slimano, Florian Gangloff, Sophie C. Drame, Moustapha Hettler, Dominique Predictive factors for clinically significant pharmacist interventions at hospital admission |
title | Predictive factors for clinically significant pharmacist interventions at hospital admission |
title_full | Predictive factors for clinically significant pharmacist interventions at hospital admission |
title_fullStr | Predictive factors for clinically significant pharmacist interventions at hospital admission |
title_full_unstemmed | Predictive factors for clinically significant pharmacist interventions at hospital admission |
title_short | Predictive factors for clinically significant pharmacist interventions at hospital admission |
title_sort | predictive factors for clinically significant pharmacist interventions at hospital admission |
topic | 4200 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5851721/ https://www.ncbi.nlm.nih.gov/pubmed/29489684 http://dx.doi.org/10.1097/MD.0000000000009865 |
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