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Utilizing a Human–Computer Interaction Approach to Evaluate the Design of Current Pharmacogenomics Clinical Decision Support
A formal assessment of pharmacogenomics clinical decision support (PGx-CDS) by providers is lacking in the literature. The objective of this study was to evaluate the usability of PGx-CDS tools that have been implemented in a healthcare setting. We enrolled ten prescribing healthcare providers and h...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8618963/ https://www.ncbi.nlm.nih.gov/pubmed/34834578 http://dx.doi.org/10.3390/jpm11111227 |
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author | Elchynski, Amanda L. Desai, Nina D’Silva, Danielle Hall, Bradley Marks, Yael Wiisanen, Kristin Cicali, Emily J. Cavallari, Larisa H. Nguyen, Khoa A. |
author_facet | Elchynski, Amanda L. Desai, Nina D’Silva, Danielle Hall, Bradley Marks, Yael Wiisanen, Kristin Cicali, Emily J. Cavallari, Larisa H. Nguyen, Khoa A. |
author_sort | Elchynski, Amanda L. |
collection | PubMed |
description | A formal assessment of pharmacogenomics clinical decision support (PGx-CDS) by providers is lacking in the literature. The objective of this study was to evaluate the usability of PGx-CDS tools that have been implemented in a healthcare setting. We enrolled ten prescribing healthcare providers and had them complete a 60-min usability session, which included interacting with two PGx-CDS scenarios using the “Think Aloud” technique, as well as completing the Computer System Usability Questionnaire (CSUQ). Providers reported positive comments, negative comments, and suggestions for the two PGx-CDS during the usability testing. Most provider comments were in favor of the current PGx-CDS design, with the exception of how the genotype and phenotype information is displayed. The mean CSUQ score for the PGx-CDS overall satisfaction was 6.3 ± 0.95, with seven strongly agreeing and one strongly disagreeing for overall satisfaction. The implemented PGx-CDS at our institution was well received by prescribing healthcare providers. The feedback collected from the session will guide future PGx-CDS designs for our healthcare system and provide a framework for other institutions implementing PGx-CDS. |
format | Online Article Text |
id | pubmed-8618963 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86189632021-11-27 Utilizing a Human–Computer Interaction Approach to Evaluate the Design of Current Pharmacogenomics Clinical Decision Support Elchynski, Amanda L. Desai, Nina D’Silva, Danielle Hall, Bradley Marks, Yael Wiisanen, Kristin Cicali, Emily J. Cavallari, Larisa H. Nguyen, Khoa A. J Pers Med Article A formal assessment of pharmacogenomics clinical decision support (PGx-CDS) by providers is lacking in the literature. The objective of this study was to evaluate the usability of PGx-CDS tools that have been implemented in a healthcare setting. We enrolled ten prescribing healthcare providers and had them complete a 60-min usability session, which included interacting with two PGx-CDS scenarios using the “Think Aloud” technique, as well as completing the Computer System Usability Questionnaire (CSUQ). Providers reported positive comments, negative comments, and suggestions for the two PGx-CDS during the usability testing. Most provider comments were in favor of the current PGx-CDS design, with the exception of how the genotype and phenotype information is displayed. The mean CSUQ score for the PGx-CDS overall satisfaction was 6.3 ± 0.95, with seven strongly agreeing and one strongly disagreeing for overall satisfaction. The implemented PGx-CDS at our institution was well received by prescribing healthcare providers. The feedback collected from the session will guide future PGx-CDS designs for our healthcare system and provide a framework for other institutions implementing PGx-CDS. MDPI 2021-11-18 /pmc/articles/PMC8618963/ /pubmed/34834578 http://dx.doi.org/10.3390/jpm11111227 Text en © 2021 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 | Article Elchynski, Amanda L. Desai, Nina D’Silva, Danielle Hall, Bradley Marks, Yael Wiisanen, Kristin Cicali, Emily J. Cavallari, Larisa H. Nguyen, Khoa A. Utilizing a Human–Computer Interaction Approach to Evaluate the Design of Current Pharmacogenomics Clinical Decision Support |
title | Utilizing a Human–Computer Interaction Approach to Evaluate the Design of Current Pharmacogenomics Clinical Decision Support |
title_full | Utilizing a Human–Computer Interaction Approach to Evaluate the Design of Current Pharmacogenomics Clinical Decision Support |
title_fullStr | Utilizing a Human–Computer Interaction Approach to Evaluate the Design of Current Pharmacogenomics Clinical Decision Support |
title_full_unstemmed | Utilizing a Human–Computer Interaction Approach to Evaluate the Design of Current Pharmacogenomics Clinical Decision Support |
title_short | Utilizing a Human–Computer Interaction Approach to Evaluate the Design of Current Pharmacogenomics Clinical Decision Support |
title_sort | utilizing a human–computer interaction approach to evaluate the design of current pharmacogenomics clinical decision support |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8618963/ https://www.ncbi.nlm.nih.gov/pubmed/34834578 http://dx.doi.org/10.3390/jpm11111227 |
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