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Human-centered design of clinical decision support for management of hypertension with chronic kidney disease
BACKGROUND: Primary care providers face challenges in recognizing and controlling hypertension in patients with chronic kidney disease (CKD). Clinical decision support (CDS) has the potential to aid clinicians in identifying patients who could benefit from medication changes. This study designed an...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375189/ https://www.ncbi.nlm.nih.gov/pubmed/35964083 http://dx.doi.org/10.1186/s12911-022-01962-y |
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author | Garabedian, Pamela M. Gannon, Michael P. Aaron, Skye Wu, Edward Burns, Zoe Samal, Lipika |
author_facet | Garabedian, Pamela M. Gannon, Michael P. Aaron, Skye Wu, Edward Burns, Zoe Samal, Lipika |
author_sort | Garabedian, Pamela M. |
collection | PubMed |
description | BACKGROUND: Primary care providers face challenges in recognizing and controlling hypertension in patients with chronic kidney disease (CKD). Clinical decision support (CDS) has the potential to aid clinicians in identifying patients who could benefit from medication changes. This study designed an alert to control hypertension in CKD patients using an iterative human-centered design process. METHODS: In this study, we present a human-centered design process employing multiple methods for gathering user requirements and feedback on design and usability. Initially, we conducted contextual inquiry sessions to gather user requirements for the CDS. This was followed by group design sessions and one-on-one formative think-aloud sessions to validate requirements, obtain feedback on the design and layout, uncover usability issues, and validate changes. RESULTS: This study included 20 participants. The contextual inquiry produced 10 user requirements which influenced the initial alert design. The group design sessions revealed issues related to several themes, including recommendations and clinical content that did not match providers' expectations and extraneous information on the alerts that did not provide value. Findings from the individual think-aloud sessions revealed that participants disagreed with some recommended clinical actions, requested additional information, and had concerns about the placement in their workflow. Following each step, iterative changes were made to the alert content and design. DISCUSSION: This study showed that participation from users throughout the design process can lead to a better understanding of user requirements and optimal design, even within the constraints of an EHR alerting system. While raising awareness of design needs, it also revealed concerns related to workflow, understandability, and relevance. CONCLUSION: The human-centered design framework using multiple methods for CDS development informed the creation of an alert to assist in the treatment and recognition of hypertension in patients with CKD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-022-01962-y. |
format | Online Article Text |
id | pubmed-9375189 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-93751892022-08-14 Human-centered design of clinical decision support for management of hypertension with chronic kidney disease Garabedian, Pamela M. Gannon, Michael P. Aaron, Skye Wu, Edward Burns, Zoe Samal, Lipika BMC Med Inform Decis Mak Research BACKGROUND: Primary care providers face challenges in recognizing and controlling hypertension in patients with chronic kidney disease (CKD). Clinical decision support (CDS) has the potential to aid clinicians in identifying patients who could benefit from medication changes. This study designed an alert to control hypertension in CKD patients using an iterative human-centered design process. METHODS: In this study, we present a human-centered design process employing multiple methods for gathering user requirements and feedback on design and usability. Initially, we conducted contextual inquiry sessions to gather user requirements for the CDS. This was followed by group design sessions and one-on-one formative think-aloud sessions to validate requirements, obtain feedback on the design and layout, uncover usability issues, and validate changes. RESULTS: This study included 20 participants. The contextual inquiry produced 10 user requirements which influenced the initial alert design. The group design sessions revealed issues related to several themes, including recommendations and clinical content that did not match providers' expectations and extraneous information on the alerts that did not provide value. Findings from the individual think-aloud sessions revealed that participants disagreed with some recommended clinical actions, requested additional information, and had concerns about the placement in their workflow. Following each step, iterative changes were made to the alert content and design. DISCUSSION: This study showed that participation from users throughout the design process can lead to a better understanding of user requirements and optimal design, even within the constraints of an EHR alerting system. While raising awareness of design needs, it also revealed concerns related to workflow, understandability, and relevance. CONCLUSION: The human-centered design framework using multiple methods for CDS development informed the creation of an alert to assist in the treatment and recognition of hypertension in patients with CKD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-022-01962-y. BioMed Central 2022-08-13 /pmc/articles/PMC9375189/ /pubmed/35964083 http://dx.doi.org/10.1186/s12911-022-01962-y 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Garabedian, Pamela M. Gannon, Michael P. Aaron, Skye Wu, Edward Burns, Zoe Samal, Lipika Human-centered design of clinical decision support for management of hypertension with chronic kidney disease |
title | Human-centered design of clinical decision support for management of hypertension with chronic kidney disease |
title_full | Human-centered design of clinical decision support for management of hypertension with chronic kidney disease |
title_fullStr | Human-centered design of clinical decision support for management of hypertension with chronic kidney disease |
title_full_unstemmed | Human-centered design of clinical decision support for management of hypertension with chronic kidney disease |
title_short | Human-centered design of clinical decision support for management of hypertension with chronic kidney disease |
title_sort | human-centered design of clinical decision support for management of hypertension with chronic kidney disease |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375189/ https://www.ncbi.nlm.nih.gov/pubmed/35964083 http://dx.doi.org/10.1186/s12911-022-01962-y |
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