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Clinician Perspectives on Clinical Decision Support for Familial Hypercholesterolemia
Familial Hypercholesterolemia (FH) is underdiagnosed in the United States. Clinical decision support (CDS) could increase FH detection once implemented in clinical workflows. We deployed CDS for FH at an academic medical center and sought clinician insights using an implementation survey. In Novembe...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10305024/ https://www.ncbi.nlm.nih.gov/pubmed/37373918 http://dx.doi.org/10.3390/jpm13060929 |
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author | Bangash, Hana Elsekaily, Omar Saadatagah, Seyedmohammad Sutton, Joseph Johnsen, Paul Gundelach, Justin H. Kamzabek, Arailym Freimuth, Robert Caraballo, Pedro J. Kullo, Iftikhar J. |
author_facet | Bangash, Hana Elsekaily, Omar Saadatagah, Seyedmohammad Sutton, Joseph Johnsen, Paul Gundelach, Justin H. Kamzabek, Arailym Freimuth, Robert Caraballo, Pedro J. Kullo, Iftikhar J. |
author_sort | Bangash, Hana |
collection | PubMed |
description | Familial Hypercholesterolemia (FH) is underdiagnosed in the United States. Clinical decision support (CDS) could increase FH detection once implemented in clinical workflows. We deployed CDS for FH at an academic medical center and sought clinician insights using an implementation survey. In November 2020, the FH CDS was deployed in the electronic health record at all Mayo Clinic sites in two formats: a best practice advisory (BPA) and an in-basket alert. Over three months, 104 clinicians participated in the survey (response rate 11.1%). Most clinicians (81%) agreed that CDS implementation was a good option for identifying FH patients; 78% recognized the importance of implementing the tool in practice, and 72% agreed it would improve early diagnosis of FH. In comparing the two alert formats, clinicians found the in-basket alert more acceptable (p = 0.036) and more feasible (p = 0.042) than the BPA. Overall, clinicians favored implementing the FH CDS in clinical practice and provided feedback that led to iterative refinement of the tool. Such a tool can potentially increase FH detection and optimize patient management. |
format | Online Article Text |
id | pubmed-10305024 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103050242023-06-29 Clinician Perspectives on Clinical Decision Support for Familial Hypercholesterolemia Bangash, Hana Elsekaily, Omar Saadatagah, Seyedmohammad Sutton, Joseph Johnsen, Paul Gundelach, Justin H. Kamzabek, Arailym Freimuth, Robert Caraballo, Pedro J. Kullo, Iftikhar J. J Pers Med Communication Familial Hypercholesterolemia (FH) is underdiagnosed in the United States. Clinical decision support (CDS) could increase FH detection once implemented in clinical workflows. We deployed CDS for FH at an academic medical center and sought clinician insights using an implementation survey. In November 2020, the FH CDS was deployed in the electronic health record at all Mayo Clinic sites in two formats: a best practice advisory (BPA) and an in-basket alert. Over three months, 104 clinicians participated in the survey (response rate 11.1%). Most clinicians (81%) agreed that CDS implementation was a good option for identifying FH patients; 78% recognized the importance of implementing the tool in practice, and 72% agreed it would improve early diagnosis of FH. In comparing the two alert formats, clinicians found the in-basket alert more acceptable (p = 0.036) and more feasible (p = 0.042) than the BPA. Overall, clinicians favored implementing the FH CDS in clinical practice and provided feedback that led to iterative refinement of the tool. Such a tool can potentially increase FH detection and optimize patient management. MDPI 2023-05-31 /pmc/articles/PMC10305024/ /pubmed/37373918 http://dx.doi.org/10.3390/jpm13060929 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Communication Bangash, Hana Elsekaily, Omar Saadatagah, Seyedmohammad Sutton, Joseph Johnsen, Paul Gundelach, Justin H. Kamzabek, Arailym Freimuth, Robert Caraballo, Pedro J. Kullo, Iftikhar J. Clinician Perspectives on Clinical Decision Support for Familial Hypercholesterolemia |
title | Clinician Perspectives on Clinical Decision Support for Familial Hypercholesterolemia |
title_full | Clinician Perspectives on Clinical Decision Support for Familial Hypercholesterolemia |
title_fullStr | Clinician Perspectives on Clinical Decision Support for Familial Hypercholesterolemia |
title_full_unstemmed | Clinician Perspectives on Clinical Decision Support for Familial Hypercholesterolemia |
title_short | Clinician Perspectives on Clinical Decision Support for Familial Hypercholesterolemia |
title_sort | clinician perspectives on clinical decision support for familial hypercholesterolemia |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10305024/ https://www.ncbi.nlm.nih.gov/pubmed/37373918 http://dx.doi.org/10.3390/jpm13060929 |
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