Human Factors in Leveraging Systems Science to Shape Public Policy for Obesity: A Usability Study

<b>Background</b>: despite a broad consensus on their importance, applications of systems thinking in policymaking and practice have been limited. This is partly caused by the longstanding practice of developing systems maps and software in the intention of supporting policymakers, but w...

Full description

Bibliographic Details
Main Authors: Philippe J. Giabbanelli, Chirag X. Vesuvala
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Information
Subjects:
Online Access:https://www.mdpi.com/2078-2489/14/3/196
_version_ 1797611074353102848
author Philippe J. Giabbanelli
Chirag X. Vesuvala
author_facet Philippe J. Giabbanelli
Chirag X. Vesuvala
author_sort Philippe J. Giabbanelli
collection DOAJ
description <b>Background</b>: despite a broad consensus on their importance, applications of systems thinking in policymaking and practice have been limited. This is partly caused by the longstanding practice of developing systems maps and software in the intention of supporting policymakers, but without knowing their needs and practices. <b>Objective</b>: we aim to ensure the effective use of a systems mapping software by policymakers seeking to understand and manage the complex system around obesity, physical, and mental well-being. <b>Methods</b>: we performed a usability study with eight policymakers in British Columbia based on a software tool (<i>ActionableSystems</i>) that supports interactions with a map of obesity. Our tasks examine different aspects of systems thinking (e.g., unintended consequences, loops) at several levels of mastery and cover common policymaking needs (identification, evaluation, understanding). Video recordings provided quantitative usability metrics (correctness, time to completion) individually and for the group, while pre- and post-usability interviews yielded qualitative data for thematic analysis. <b>Results</b>: users knew the many different factors that contribute to mental and physical well-being in obesity; however, most were only familiar with lower-level systems thinking concepts (e.g., interconnectedness) rather than higher-level ones (e.g., feedback loops). Most struggles happened at the lowest level of the mastery taxonomy, and predominantly on network representation. Although participants completed tasks on loops and multiple pathways mostly correctly, this was at the detriment of spending significant time on these aspects. Results did not depend on the participant, as their experiences with the software were similar. The thematic analysis revealed that policymakers did not have a typical workflow and did not use any special software or tools in their policy work; hence, the integration of a new tool would heavily depend on individual practices. <b>Conclusions</b>: there is an important discrepancy between what constitutes systems thinking to policymakers and what parts of systems thinking are supported by software. Tools may be more successfully integrated when they include tutorials (e.g., case studies), facilitate access to evidence, and can be linked to a policymaker’s portfolio.
first_indexed 2024-03-11T06:23:44Z
format Article
id doaj.art-1274fea41332444eb532fdff414fae1a
institution Directory Open Access Journal
issn 2078-2489
language English
last_indexed 2024-03-11T06:23:44Z
publishDate 2023-03-01
publisher MDPI AG
record_format Article
series Information
spelling doaj.art-1274fea41332444eb532fdff414fae1a2023-11-17T11:44:25ZengMDPI AGInformation2078-24892023-03-0114319610.3390/info14030196Human Factors in Leveraging Systems Science to Shape Public Policy for Obesity: A Usability StudyPhilippe J. Giabbanelli0Chirag X. Vesuvala1Department of Computer Science & Software Engineering, Miami University, Oxford, OH 45056, USAIndependent Researcher, Vancouver, BC V6B 1Y0, Canada<b>Background</b>: despite a broad consensus on their importance, applications of systems thinking in policymaking and practice have been limited. This is partly caused by the longstanding practice of developing systems maps and software in the intention of supporting policymakers, but without knowing their needs and practices. <b>Objective</b>: we aim to ensure the effective use of a systems mapping software by policymakers seeking to understand and manage the complex system around obesity, physical, and mental well-being. <b>Methods</b>: we performed a usability study with eight policymakers in British Columbia based on a software tool (<i>ActionableSystems</i>) that supports interactions with a map of obesity. Our tasks examine different aspects of systems thinking (e.g., unintended consequences, loops) at several levels of mastery and cover common policymaking needs (identification, evaluation, understanding). Video recordings provided quantitative usability metrics (correctness, time to completion) individually and for the group, while pre- and post-usability interviews yielded qualitative data for thematic analysis. <b>Results</b>: users knew the many different factors that contribute to mental and physical well-being in obesity; however, most were only familiar with lower-level systems thinking concepts (e.g., interconnectedness) rather than higher-level ones (e.g., feedback loops). Most struggles happened at the lowest level of the mastery taxonomy, and predominantly on network representation. Although participants completed tasks on loops and multiple pathways mostly correctly, this was at the detriment of spending significant time on these aspects. Results did not depend on the participant, as their experiences with the software were similar. The thematic analysis revealed that policymakers did not have a typical workflow and did not use any special software or tools in their policy work; hence, the integration of a new tool would heavily depend on individual practices. <b>Conclusions</b>: there is an important discrepancy between what constitutes systems thinking to policymakers and what parts of systems thinking are supported by software. Tools may be more successfully integrated when they include tutorials (e.g., case studies), facilitate access to evidence, and can be linked to a policymaker’s portfolio.https://www.mdpi.com/2078-2489/14/3/196chronic diseaseconceptual mappolicymakingsystems thinkingusability
spellingShingle Philippe J. Giabbanelli
Chirag X. Vesuvala
Human Factors in Leveraging Systems Science to Shape Public Policy for Obesity: A Usability Study
Information
chronic disease
conceptual map
policymaking
systems thinking
usability
title Human Factors in Leveraging Systems Science to Shape Public Policy for Obesity: A Usability Study
title_full Human Factors in Leveraging Systems Science to Shape Public Policy for Obesity: A Usability Study
title_fullStr Human Factors in Leveraging Systems Science to Shape Public Policy for Obesity: A Usability Study
title_full_unstemmed Human Factors in Leveraging Systems Science to Shape Public Policy for Obesity: A Usability Study
title_short Human Factors in Leveraging Systems Science to Shape Public Policy for Obesity: A Usability Study
title_sort human factors in leveraging systems science to shape public policy for obesity a usability study
topic chronic disease
conceptual map
policymaking
systems thinking
usability
url https://www.mdpi.com/2078-2489/14/3/196
work_keys_str_mv AT philippejgiabbanelli humanfactorsinleveragingsystemssciencetoshapepublicpolicyforobesityausabilitystudy
AT chiragxvesuvala humanfactorsinleveragingsystemssciencetoshapepublicpolicyforobesityausabilitystudy