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...
Autores principales: | , , , , |
---|---|
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 |