Cargando…

Home blood pressure data visualization for the management of hypertension: using human factors and design principles

BACKGROUND: Home blood pressure measurements have equal or even greater predictive value than clinic blood pressure measurements regarding cardiovascular outcomes. With advances in home blood pressure monitors, we face an imminent flood of home measurements, but current electronic health record syst...

Descripción completa

Detalles Bibliográficos
Autores principales: Wegier, Pete, Belden, Jeffery L., Canfield, Shannon M., Shaffer, Victoria A., Patil, Sonal J., LeFevre, Michael L., Valentine, K. D., Popescu, Mihail, Steege, Linsey M., Jain, Akshay, Koopman, Richelle J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8340525/
https://www.ncbi.nlm.nih.gov/pubmed/34353322
http://dx.doi.org/10.1186/s12911-021-01598-4
_version_ 1783733791332761600
author Wegier, Pete
Belden, Jeffery L.
Canfield, Shannon M.
Shaffer, Victoria A.
Patil, Sonal J.
LeFevre, Michael L.
Valentine, K. D.
Popescu, Mihail
Steege, Linsey M.
Jain, Akshay
Koopman, Richelle J.
author_facet Wegier, Pete
Belden, Jeffery L.
Canfield, Shannon M.
Shaffer, Victoria A.
Patil, Sonal J.
LeFevre, Michael L.
Valentine, K. D.
Popescu, Mihail
Steege, Linsey M.
Jain, Akshay
Koopman, Richelle J.
author_sort Wegier, Pete
collection PubMed
description BACKGROUND: Home blood pressure measurements have equal or even greater predictive value than clinic blood pressure measurements regarding cardiovascular outcomes. With advances in home blood pressure monitors, we face an imminent flood of home measurements, but current electronic health record systems lack the functionality to allow us to use this data to its fullest. We designed a data visualization display for blood pressure measurements to be used for shared decision making around hypertension. METHODS: We used an iterative, rapid-prototyping, user-centred design approach to determine the most appropriate designs for this data display. We relied on visual cognition and human factors principles when designing our display. Feedback was provided by expert members of our multidisciplinary research team and through a series of end-user focus groups, comprised of either hypertensive patients or their healthcare providers required from eight academic, community-based practices in the Midwest of the United States. RESULTS: A total of 40 participants were recruited to participate in patient (N = 16) and provider (N = 24) focus groups. We describe the conceptualization and development of data display for shared decision making around hypertension. We designed and received feedback from both patients and healthcare providers on a number of design elements that were reported to be helpful in understanding blood pressure measurements. CONCLUSIONS: We developed a data display for substantial amounts of blood pressure measurements that is both simple to understand for patients, but powerful enough to inform clinical decision making. The display used a line graph format for ease of understanding, a LOWESS function for smoothing data to reduce the weight users placed on outlier measurements, colored goal range bands to allow users to quickly determine if measurements were in range, a medication timeline to help link recorded blood pressure measurements with the medications a patient was taking. A data display such as this, specifically designed to encourage shared decision making between hypertensive patients and their healthcare providers, could help us overcome the clinical inertia that often results in a lack of treatment intensification, leading to better care for the 35 million Americans with uncontrolled hypertension.
format Online
Article
Text
id pubmed-8340525
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-83405252021-08-06 Home blood pressure data visualization for the management of hypertension: using human factors and design principles Wegier, Pete Belden, Jeffery L. Canfield, Shannon M. Shaffer, Victoria A. Patil, Sonal J. LeFevre, Michael L. Valentine, K. D. Popescu, Mihail Steege, Linsey M. Jain, Akshay Koopman, Richelle J. BMC Med Inform Decis Mak Research Article BACKGROUND: Home blood pressure measurements have equal or even greater predictive value than clinic blood pressure measurements regarding cardiovascular outcomes. With advances in home blood pressure monitors, we face an imminent flood of home measurements, but current electronic health record systems lack the functionality to allow us to use this data to its fullest. We designed a data visualization display for blood pressure measurements to be used for shared decision making around hypertension. METHODS: We used an iterative, rapid-prototyping, user-centred design approach to determine the most appropriate designs for this data display. We relied on visual cognition and human factors principles when designing our display. Feedback was provided by expert members of our multidisciplinary research team and through a series of end-user focus groups, comprised of either hypertensive patients or their healthcare providers required from eight academic, community-based practices in the Midwest of the United States. RESULTS: A total of 40 participants were recruited to participate in patient (N = 16) and provider (N = 24) focus groups. We describe the conceptualization and development of data display for shared decision making around hypertension. We designed and received feedback from both patients and healthcare providers on a number of design elements that were reported to be helpful in understanding blood pressure measurements. CONCLUSIONS: We developed a data display for substantial amounts of blood pressure measurements that is both simple to understand for patients, but powerful enough to inform clinical decision making. The display used a line graph format for ease of understanding, a LOWESS function for smoothing data to reduce the weight users placed on outlier measurements, colored goal range bands to allow users to quickly determine if measurements were in range, a medication timeline to help link recorded blood pressure measurements with the medications a patient was taking. A data display such as this, specifically designed to encourage shared decision making between hypertensive patients and their healthcare providers, could help us overcome the clinical inertia that often results in a lack of treatment intensification, leading to better care for the 35 million Americans with uncontrolled hypertension. BioMed Central 2021-08-05 /pmc/articles/PMC8340525/ /pubmed/34353322 http://dx.doi.org/10.1186/s12911-021-01598-4 Text en © The Author(s) 2021 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 Article
Wegier, Pete
Belden, Jeffery L.
Canfield, Shannon M.
Shaffer, Victoria A.
Patil, Sonal J.
LeFevre, Michael L.
Valentine, K. D.
Popescu, Mihail
Steege, Linsey M.
Jain, Akshay
Koopman, Richelle J.
Home blood pressure data visualization for the management of hypertension: using human factors and design principles
title Home blood pressure data visualization for the management of hypertension: using human factors and design principles
title_full Home blood pressure data visualization for the management of hypertension: using human factors and design principles
title_fullStr Home blood pressure data visualization for the management of hypertension: using human factors and design principles
title_full_unstemmed Home blood pressure data visualization for the management of hypertension: using human factors and design principles
title_short Home blood pressure data visualization for the management of hypertension: using human factors and design principles
title_sort home blood pressure data visualization for the management of hypertension: using human factors and design principles
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8340525/
https://www.ncbi.nlm.nih.gov/pubmed/34353322
http://dx.doi.org/10.1186/s12911-021-01598-4
work_keys_str_mv AT wegierpete homebloodpressuredatavisualizationforthemanagementofhypertensionusinghumanfactorsanddesignprinciples
AT beldenjefferyl homebloodpressuredatavisualizationforthemanagementofhypertensionusinghumanfactorsanddesignprinciples
AT canfieldshannonm homebloodpressuredatavisualizationforthemanagementofhypertensionusinghumanfactorsanddesignprinciples
AT shaffervictoriaa homebloodpressuredatavisualizationforthemanagementofhypertensionusinghumanfactorsanddesignprinciples
AT patilsonalj homebloodpressuredatavisualizationforthemanagementofhypertensionusinghumanfactorsanddesignprinciples
AT lefevremichaell homebloodpressuredatavisualizationforthemanagementofhypertensionusinghumanfactorsanddesignprinciples
AT valentinekd homebloodpressuredatavisualizationforthemanagementofhypertensionusinghumanfactorsanddesignprinciples
AT popescumihail homebloodpressuredatavisualizationforthemanagementofhypertensionusinghumanfactorsanddesignprinciples
AT steegelinseym homebloodpressuredatavisualizationforthemanagementofhypertensionusinghumanfactorsanddesignprinciples
AT jainakshay homebloodpressuredatavisualizationforthemanagementofhypertensionusinghumanfactorsanddesignprinciples
AT koopmanrichellej homebloodpressuredatavisualizationforthemanagementofhypertensionusinghumanfactorsanddesignprinciples