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Best Practice Recommendations: User Acceptance Testing for Systems Designed to Collect Clinical Outcome Assessment Data Electronically

Implementing clinical outcome assessments electronically in clinical studies requires the sponsor and electronic clinical outcome assessment (eCOA) provider to work closely together to implement study-specific requirements and ensure consensus-defined best practices are followed. One of the most imp...

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Autores principales: Gordon, Sarah, Crager, Jennifer, Howry, Cindy, Barsdorf, Alexandra I., Cohen, Jeff, Crescioni, Mabel, Dahya, Bela, Delong, Patricia, Knaus, Christian, Reasner, David S., Vallow, Susan, Zarzar, Katherine, Eremenco, Sonya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964567/
https://www.ncbi.nlm.nih.gov/pubmed/35233726
http://dx.doi.org/10.1007/s43441-021-00363-z
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author Gordon, Sarah
Crager, Jennifer
Howry, Cindy
Barsdorf, Alexandra I.
Cohen, Jeff
Crescioni, Mabel
Dahya, Bela
Delong, Patricia
Knaus, Christian
Reasner, David S.
Vallow, Susan
Zarzar, Katherine
Eremenco, Sonya
author_facet Gordon, Sarah
Crager, Jennifer
Howry, Cindy
Barsdorf, Alexandra I.
Cohen, Jeff
Crescioni, Mabel
Dahya, Bela
Delong, Patricia
Knaus, Christian
Reasner, David S.
Vallow, Susan
Zarzar, Katherine
Eremenco, Sonya
author_sort Gordon, Sarah
collection PubMed
description Implementing clinical outcome assessments electronically in clinical studies requires the sponsor and electronic clinical outcome assessment (eCOA) provider to work closely together to implement study-specific requirements and ensure consensus-defined best practices are followed. One of the most important steps is for sponsors to conduct user acceptance testing (UAT) using an eCOA system developed by the eCOA provider. UAT provides the clinical study team including sponsor or designee an opportunity to evaluate actual software performance and ensure that the sponsor’s intended requirements were communicated clearly and accurately translated into the system design, and that the system conforms to a sponsor-approved requirements document based on the study protocol. The components of an eCOA system, such as the study-specific application, customization features, study portal, and custom data transfers should be tested during UAT. While the provider will perform their own system validation, the sponsor or designee should also perform their due diligence by conducting UAT. A clear UAT plan including the necessary documentation may be requested by regulatory authorities depending on the country. This paper provides the electronic patient-reported outcome (ePRO) Consortium’s and patient-reported outcome (PRO) Consortium’s best practice recommendations for clinical study sponsors or their designee for conducting UAT with support from eCOA providers to ensure data quality and enhance operational efficiency of the eCOA system. Following these best practice recommendations and completing UAT in its entirety will support a high quality eCOA system and ensure more reliable and complete data are collected, which are essential to the success of the study.
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spelling pubmed-89645672022-04-07 Best Practice Recommendations: User Acceptance Testing for Systems Designed to Collect Clinical Outcome Assessment Data Electronically Gordon, Sarah Crager, Jennifer Howry, Cindy Barsdorf, Alexandra I. Cohen, Jeff Crescioni, Mabel Dahya, Bela Delong, Patricia Knaus, Christian Reasner, David S. Vallow, Susan Zarzar, Katherine Eremenco, Sonya Ther Innov Regul Sci Analytical Report Implementing clinical outcome assessments electronically in clinical studies requires the sponsor and electronic clinical outcome assessment (eCOA) provider to work closely together to implement study-specific requirements and ensure consensus-defined best practices are followed. One of the most important steps is for sponsors to conduct user acceptance testing (UAT) using an eCOA system developed by the eCOA provider. UAT provides the clinical study team including sponsor or designee an opportunity to evaluate actual software performance and ensure that the sponsor’s intended requirements were communicated clearly and accurately translated into the system design, and that the system conforms to a sponsor-approved requirements document based on the study protocol. The components of an eCOA system, such as the study-specific application, customization features, study portal, and custom data transfers should be tested during UAT. While the provider will perform their own system validation, the sponsor or designee should also perform their due diligence by conducting UAT. A clear UAT plan including the necessary documentation may be requested by regulatory authorities depending on the country. This paper provides the electronic patient-reported outcome (ePRO) Consortium’s and patient-reported outcome (PRO) Consortium’s best practice recommendations for clinical study sponsors or their designee for conducting UAT with support from eCOA providers to ensure data quality and enhance operational efficiency of the eCOA system. Following these best practice recommendations and completing UAT in its entirety will support a high quality eCOA system and ensure more reliable and complete data are collected, which are essential to the success of the study. Springer International Publishing 2022-03-01 2022 /pmc/articles/PMC8964567/ /pubmed/35233726 http://dx.doi.org/10.1007/s43441-021-00363-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Analytical Report
Gordon, Sarah
Crager, Jennifer
Howry, Cindy
Barsdorf, Alexandra I.
Cohen, Jeff
Crescioni, Mabel
Dahya, Bela
Delong, Patricia
Knaus, Christian
Reasner, David S.
Vallow, Susan
Zarzar, Katherine
Eremenco, Sonya
Best Practice Recommendations: User Acceptance Testing for Systems Designed to Collect Clinical Outcome Assessment Data Electronically
title Best Practice Recommendations: User Acceptance Testing for Systems Designed to Collect Clinical Outcome Assessment Data Electronically
title_full Best Practice Recommendations: User Acceptance Testing for Systems Designed to Collect Clinical Outcome Assessment Data Electronically
title_fullStr Best Practice Recommendations: User Acceptance Testing for Systems Designed to Collect Clinical Outcome Assessment Data Electronically
title_full_unstemmed Best Practice Recommendations: User Acceptance Testing for Systems Designed to Collect Clinical Outcome Assessment Data Electronically
title_short Best Practice Recommendations: User Acceptance Testing for Systems Designed to Collect Clinical Outcome Assessment Data Electronically
title_sort best practice recommendations: user acceptance testing for systems designed to collect clinical outcome assessment data electronically
topic Analytical Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964567/
https://www.ncbi.nlm.nih.gov/pubmed/35233726
http://dx.doi.org/10.1007/s43441-021-00363-z
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