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Human factors applications in the design of decision support systems for population health: a scoping review

INTRODUCTION: Public health professionals engage in complex cognitive tasks, often using evidence-based decision support tools to bolster their decision-making. Human factors methods take a user-centred approach to improve the design of systems, processes, and interfaces to better support planning a...

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Autores principales: Vasquez, Holland Marie, Pianarosa, Emilie, Sirbu, Renee, Diemert, Lori M, Cunningham, Heather V, Donmez, Birsen, Rosella, Laura C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8977763/
https://www.ncbi.nlm.nih.gov/pubmed/35365524
http://dx.doi.org/10.1136/bmjopen-2021-054330
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author Vasquez, Holland Marie
Pianarosa, Emilie
Sirbu, Renee
Diemert, Lori M
Cunningham, Heather V
Donmez, Birsen
Rosella, Laura C
author_facet Vasquez, Holland Marie
Pianarosa, Emilie
Sirbu, Renee
Diemert, Lori M
Cunningham, Heather V
Donmez, Birsen
Rosella, Laura C
author_sort Vasquez, Holland Marie
collection PubMed
description INTRODUCTION: Public health professionals engage in complex cognitive tasks, often using evidence-based decision support tools to bolster their decision-making. Human factors methods take a user-centred approach to improve the design of systems, processes, and interfaces to better support planning and decision-making. While human factors methods have been applied to the design of clinical health tools, these methods are limited in the design of tools for population health. The objective of this scoping review is to develop a comprehensive understanding of how human factors techniques have been applied in the design of population health decision support tools. METHODS AND ANALYSIS: The scoping review will follow the methodology and framework proposed by Arksey and O’Malley. We include English-language documents between January 1990 and August 2021 describing the development, validation or application of human factors principles to decision support tools in population health. The search will include Ovid MEDLINE: Epub Ahead of Print, In-Process and Other Non-Indexed Citations, Ovid MEDLINE Daily and Ovid MEDLINE 1946–present; EMBASE, Scopus, PsycINFO, Compendex, IEEE Xplore and Inspec. The results will be integrated into Covidence. First, the abstract of all identified articles will be screened independently by two reviewers with disagreements being resolved by a third reviewer. Next, the full text for articles identified as include or inconclusive will be reviewed by two independent reviewers, leading to a final decision regarding inclusion. Reference lists of included articles will be manually screened to identify additional studies. Data will be extracted by one reviewer, verified by a second, and presented according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews. ETHICS AND DISSEMINATION: Ethics approval is not required for this work as human participants are not involved. The completed review will be published in a peer-reviewed, interdisciplinary journal.
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spelling pubmed-89777632022-04-20 Human factors applications in the design of decision support systems for population health: a scoping review Vasquez, Holland Marie Pianarosa, Emilie Sirbu, Renee Diemert, Lori M Cunningham, Heather V Donmez, Birsen Rosella, Laura C BMJ Open Health Informatics INTRODUCTION: Public health professionals engage in complex cognitive tasks, often using evidence-based decision support tools to bolster their decision-making. Human factors methods take a user-centred approach to improve the design of systems, processes, and interfaces to better support planning and decision-making. While human factors methods have been applied to the design of clinical health tools, these methods are limited in the design of tools for population health. The objective of this scoping review is to develop a comprehensive understanding of how human factors techniques have been applied in the design of population health decision support tools. METHODS AND ANALYSIS: The scoping review will follow the methodology and framework proposed by Arksey and O’Malley. We include English-language documents between January 1990 and August 2021 describing the development, validation or application of human factors principles to decision support tools in population health. The search will include Ovid MEDLINE: Epub Ahead of Print, In-Process and Other Non-Indexed Citations, Ovid MEDLINE Daily and Ovid MEDLINE 1946–present; EMBASE, Scopus, PsycINFO, Compendex, IEEE Xplore and Inspec. The results will be integrated into Covidence. First, the abstract of all identified articles will be screened independently by two reviewers with disagreements being resolved by a third reviewer. Next, the full text for articles identified as include or inconclusive will be reviewed by two independent reviewers, leading to a final decision regarding inclusion. Reference lists of included articles will be manually screened to identify additional studies. Data will be extracted by one reviewer, verified by a second, and presented according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews. ETHICS AND DISSEMINATION: Ethics approval is not required for this work as human participants are not involved. The completed review will be published in a peer-reviewed, interdisciplinary journal. BMJ Publishing Group 2022-04-01 /pmc/articles/PMC8977763/ /pubmed/35365524 http://dx.doi.org/10.1136/bmjopen-2021-054330 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Health Informatics
Vasquez, Holland Marie
Pianarosa, Emilie
Sirbu, Renee
Diemert, Lori M
Cunningham, Heather V
Donmez, Birsen
Rosella, Laura C
Human factors applications in the design of decision support systems for population health: a scoping review
title Human factors applications in the design of decision support systems for population health: a scoping review
title_full Human factors applications in the design of decision support systems for population health: a scoping review
title_fullStr Human factors applications in the design of decision support systems for population health: a scoping review
title_full_unstemmed Human factors applications in the design of decision support systems for population health: a scoping review
title_short Human factors applications in the design of decision support systems for population health: a scoping review
title_sort human factors applications in the design of decision support systems for population health: a scoping review
topic Health Informatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8977763/
https://www.ncbi.nlm.nih.gov/pubmed/35365524
http://dx.doi.org/10.1136/bmjopen-2021-054330
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