Cargando…

Using Behavior Over Time Graphs to Spur Systems Thinking Among Public Health Practitioners

Public health practitioners can use Behavior Over Time (BOT) graphs to spur discussion and systems thinking around complex challenges. Multiple large systems, such as health care, the economy, and education, affect chronic disease rates in the United States. System thinking tools can build public he...

Descripción completa

Detalles Bibliográficos
Autores principales: Calancie, Larissa, Anderson, Seri, Branscomb, Jane, Apostolico, Alexsandra A., Lich, Kristen Hassmiller
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5798221/
https://www.ncbi.nlm.nih.gov/pubmed/29389313
http://dx.doi.org/10.5888/pcd15.170254
_version_ 1783297831703937024
author Calancie, Larissa
Anderson, Seri
Branscomb, Jane
Apostolico, Alexsandra A.
Lich, Kristen Hassmiller
author_facet Calancie, Larissa
Anderson, Seri
Branscomb, Jane
Apostolico, Alexsandra A.
Lich, Kristen Hassmiller
author_sort Calancie, Larissa
collection PubMed
description Public health practitioners can use Behavior Over Time (BOT) graphs to spur discussion and systems thinking around complex challenges. Multiple large systems, such as health care, the economy, and education, affect chronic disease rates in the United States. System thinking tools can build public health practitioners’ capacity to understand these systems and collaborate within and across sectors to improve population health. BOT graphs show a variable, or variables (y axis) over time (x axis). Although analyzing trends is not new to public health, drawing BOT graphs, annotating the events and systemic forces that are likely to influence the depicted trends, and then discussing the graphs in a diverse group provides an opportunity for public health practitioners to hear each other’s perspectives and creates a more holistic understanding of the key factors that contribute to a trend. We describe how BOT graphs are used in public health, how they can be used to generate group discussion, and how this process can advance systems-level thinking. Then we describe how BOT graphs were used with groups of maternal and child health (MCH) practitioners and partners (N = 101) during a training session to advance their thinking about MCH challenges. Eighty-six percent of the 84 participants who completed an evaluation agreed or strongly agreed that they would use this BOT graph process to engage stakeholders in their home states and jurisdictions. The BOT graph process we describe can be applied to a variety of public health issues and used by practitioners, stakeholders, and researchers.
format Online
Article
Text
id pubmed-5798221
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Centers for Disease Control and Prevention
record_format MEDLINE/PubMed
spelling pubmed-57982212018-02-21 Using Behavior Over Time Graphs to Spur Systems Thinking Among Public Health Practitioners Calancie, Larissa Anderson, Seri Branscomb, Jane Apostolico, Alexsandra A. Lich, Kristen Hassmiller Prev Chronic Dis Tools and Techniques Public health practitioners can use Behavior Over Time (BOT) graphs to spur discussion and systems thinking around complex challenges. Multiple large systems, such as health care, the economy, and education, affect chronic disease rates in the United States. System thinking tools can build public health practitioners’ capacity to understand these systems and collaborate within and across sectors to improve population health. BOT graphs show a variable, or variables (y axis) over time (x axis). Although analyzing trends is not new to public health, drawing BOT graphs, annotating the events and systemic forces that are likely to influence the depicted trends, and then discussing the graphs in a diverse group provides an opportunity for public health practitioners to hear each other’s perspectives and creates a more holistic understanding of the key factors that contribute to a trend. We describe how BOT graphs are used in public health, how they can be used to generate group discussion, and how this process can advance systems-level thinking. Then we describe how BOT graphs were used with groups of maternal and child health (MCH) practitioners and partners (N = 101) during a training session to advance their thinking about MCH challenges. Eighty-six percent of the 84 participants who completed an evaluation agreed or strongly agreed that they would use this BOT graph process to engage stakeholders in their home states and jurisdictions. The BOT graph process we describe can be applied to a variety of public health issues and used by practitioners, stakeholders, and researchers. Centers for Disease Control and Prevention 2018-02-01 /pmc/articles/PMC5798221/ /pubmed/29389313 http://dx.doi.org/10.5888/pcd15.170254 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Tools and Techniques
Calancie, Larissa
Anderson, Seri
Branscomb, Jane
Apostolico, Alexsandra A.
Lich, Kristen Hassmiller
Using Behavior Over Time Graphs to Spur Systems Thinking Among Public Health Practitioners
title Using Behavior Over Time Graphs to Spur Systems Thinking Among Public Health Practitioners
title_full Using Behavior Over Time Graphs to Spur Systems Thinking Among Public Health Practitioners
title_fullStr Using Behavior Over Time Graphs to Spur Systems Thinking Among Public Health Practitioners
title_full_unstemmed Using Behavior Over Time Graphs to Spur Systems Thinking Among Public Health Practitioners
title_short Using Behavior Over Time Graphs to Spur Systems Thinking Among Public Health Practitioners
title_sort using behavior over time graphs to spur systems thinking among public health practitioners
topic Tools and Techniques
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5798221/
https://www.ncbi.nlm.nih.gov/pubmed/29389313
http://dx.doi.org/10.5888/pcd15.170254
work_keys_str_mv AT calancielarissa usingbehaviorovertimegraphstospursystemsthinkingamongpublichealthpractitioners
AT andersonseri usingbehaviorovertimegraphstospursystemsthinkingamongpublichealthpractitioners
AT branscombjane usingbehaviorovertimegraphstospursystemsthinkingamongpublichealthpractitioners
AT apostolicoalexsandraa usingbehaviorovertimegraphstospursystemsthinkingamongpublichealthpractitioners
AT lichkristenhassmiller usingbehaviorovertimegraphstospursystemsthinkingamongpublichealthpractitioners