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Medication stewardship using computerized clinical decision support: A case study on intravenous immunoglobulins

BACKGROUND: Healthcare delivery organizations face increasing pressure to manage the use of medications in terms of safety, waste reduction, and cost containment. OBJECTIVE: To describe a computerized provider order entry (CPOE) system intervention to optimize use of a commonly ordered, high‐cost th...

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Autores principales: Tsapepas, Demetra, Der-Nigoghossian, Caroline, Patel, Khilna, Berger, Karen, Vawdrey, David K, Salmasian, Hojjat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6715593/
https://www.ncbi.nlm.nih.gov/pubmed/31485333
http://dx.doi.org/10.1002/prp2.508
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author Tsapepas, Demetra
Der-Nigoghossian, Caroline
Patel, Khilna
Berger, Karen
Vawdrey, David K
Salmasian, Hojjat
author_facet Tsapepas, Demetra
Der-Nigoghossian, Caroline
Patel, Khilna
Berger, Karen
Vawdrey, David K
Salmasian, Hojjat
author_sort Tsapepas, Demetra
collection PubMed
description BACKGROUND: Healthcare delivery organizations face increasing pressure to manage the use of medications in terms of safety, waste reduction, and cost containment. OBJECTIVE: To describe a computerized provider order entry (CPOE) system intervention to optimize use of a commonly ordered, high‐cost therapeutic: intravenous immune globulin (IVIG). DESIGN: Description of IVIG order configuration, medication use patterns, and subsequent order set configuration development in a CPOE system. MEASUREMENTS: IVIG orders were extracted from the CPOE system before and after the implementation of a specialty orderset to determine the indications for use, dosing, and duration of therapy. Orders were compared to a theoretical dosing schedule created from published evidence and data from a prior medication use evaluation. RESULTS: During 36 months before the implementation of the IVIG order set, 1965 IVIG orders were reviewed. The prescribed IVIG dose varied considerably from the expected dose (mean = −1.8, range = −4.9‐1.5). In the 27 months after order set implementation, 848 IVIG orders were reviewed. The prescribed IVIG dose was closer to the expected dose (mean = −1.2, range = −3.9‐2.6, P < .0001). CONCLUSIONS: Order configuration processes are cumbersome and time‐consuming, but can be streamlined to enhance a medication’s usage in the healthcare system. A better understanding of institution‐specific ordering patterns may facilitate more efficient and effective order configuration and optimize drug use.
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spelling pubmed-67155932019-09-04 Medication stewardship using computerized clinical decision support: A case study on intravenous immunoglobulins Tsapepas, Demetra Der-Nigoghossian, Caroline Patel, Khilna Berger, Karen Vawdrey, David K Salmasian, Hojjat Pharmacol Res Perspect Original Articles BACKGROUND: Healthcare delivery organizations face increasing pressure to manage the use of medications in terms of safety, waste reduction, and cost containment. OBJECTIVE: To describe a computerized provider order entry (CPOE) system intervention to optimize use of a commonly ordered, high‐cost therapeutic: intravenous immune globulin (IVIG). DESIGN: Description of IVIG order configuration, medication use patterns, and subsequent order set configuration development in a CPOE system. MEASUREMENTS: IVIG orders were extracted from the CPOE system before and after the implementation of a specialty orderset to determine the indications for use, dosing, and duration of therapy. Orders were compared to a theoretical dosing schedule created from published evidence and data from a prior medication use evaluation. RESULTS: During 36 months before the implementation of the IVIG order set, 1965 IVIG orders were reviewed. The prescribed IVIG dose varied considerably from the expected dose (mean = −1.8, range = −4.9‐1.5). In the 27 months after order set implementation, 848 IVIG orders were reviewed. The prescribed IVIG dose was closer to the expected dose (mean = −1.2, range = −3.9‐2.6, P < .0001). CONCLUSIONS: Order configuration processes are cumbersome and time‐consuming, but can be streamlined to enhance a medication’s usage in the healthcare system. A better understanding of institution‐specific ordering patterns may facilitate more efficient and effective order configuration and optimize drug use. John Wiley and Sons Inc. 2019-08-29 /pmc/articles/PMC6715593/ /pubmed/31485333 http://dx.doi.org/10.1002/prp2.508 Text en © 2019 The Authors. Pharmacology Research & Perspectives published by John Wiley & Sons Ltd, British Pharmacological Society and American Society for Pharmacology and Experimental Therapeutics. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Tsapepas, Demetra
Der-Nigoghossian, Caroline
Patel, Khilna
Berger, Karen
Vawdrey, David K
Salmasian, Hojjat
Medication stewardship using computerized clinical decision support: A case study on intravenous immunoglobulins
title Medication stewardship using computerized clinical decision support: A case study on intravenous immunoglobulins
title_full Medication stewardship using computerized clinical decision support: A case study on intravenous immunoglobulins
title_fullStr Medication stewardship using computerized clinical decision support: A case study on intravenous immunoglobulins
title_full_unstemmed Medication stewardship using computerized clinical decision support: A case study on intravenous immunoglobulins
title_short Medication stewardship using computerized clinical decision support: A case study on intravenous immunoglobulins
title_sort medication stewardship using computerized clinical decision support: a case study on intravenous immunoglobulins
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6715593/
https://www.ncbi.nlm.nih.gov/pubmed/31485333
http://dx.doi.org/10.1002/prp2.508
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