Cargando…

Tools for Supporting the MCH Workforce in Addressing Complex Challenges: A Scoping Review of System Dynamics Modeling in Maternal and Child Health

OBJECTIVES: System Dynamics (SD) is a promising decision support modeling approach for growing shared understanding of complex maternal and child health (MCH) trends. We sought to inventory published applications of SD to MCH topics and introduce the MCH workforce to these approaches through example...

Descripción completa

Detalles Bibliográficos
Autores principales: Guynn, Isabella, Simon, Jessica, Anderson, Seri, Klaman, Stacey L., Mullenix, Amy, Cilenti, Dorothy, Hassmiller Lich, Kristen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482604/
https://www.ncbi.nlm.nih.gov/pubmed/35188621
http://dx.doi.org/10.1007/s10995-022-03376-8
_version_ 1784791490129559552
author Guynn, Isabella
Simon, Jessica
Anderson, Seri
Klaman, Stacey L.
Mullenix, Amy
Cilenti, Dorothy
Hassmiller Lich, Kristen
author_facet Guynn, Isabella
Simon, Jessica
Anderson, Seri
Klaman, Stacey L.
Mullenix, Amy
Cilenti, Dorothy
Hassmiller Lich, Kristen
author_sort Guynn, Isabella
collection PubMed
description OBJECTIVES: System Dynamics (SD) is a promising decision support modeling approach for growing shared understanding of complex maternal and child health (MCH) trends. We sought to inventory published applications of SD to MCH topics and introduce the MCH workforce to these approaches through examples to support further iteration and use. METHODS: We conducted a systematic search (1958–2018) for applications of SD to MCH topics and characterized identified articles, following PRISMA guidelines. Pairs of experts abstracted information on SD approach and MCH relevance. RESULTS: We identified 101 articles describing applications of SD to MCH topics. Approach: 27 articles present qualitative diagrams, 10 introduce concept models that begin to quantify dynamics, and 67 present more fully tested/analyzed models. Purpose: The most common purposes described were to increase understanding (n = 55) and support strategic planning (n = 26). While the majority of studies (n = 53) did not involve stakeholders, 40 included what we considered to be a high level of stakeholder engagement – a strength of SD for MCH. Topics: The two Healthy People 2020 topics addressed most frequently were early and middle childhood (n = 30) and access to health services (n = 26). The most commonly addressed SDG goals were “End disease epidemics” (n = 26) and “End preventable deaths” (n = 26). CONCLUSIONS FOR PRACTICE: While several excellent examples of the application of SD in MCH were found, SD is still underutilized in MCH. Because SD is particularly well-suited to studying and addressing complex challenges with stakeholders, its expanded use by the MCH workforce could inform an understanding of contemporary MCH challenges. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10995-022-03376-8.
format Online
Article
Text
id pubmed-9482604
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer US
record_format MEDLINE/PubMed
spelling pubmed-94826042022-09-19 Tools for Supporting the MCH Workforce in Addressing Complex Challenges: A Scoping Review of System Dynamics Modeling in Maternal and Child Health Guynn, Isabella Simon, Jessica Anderson, Seri Klaman, Stacey L. Mullenix, Amy Cilenti, Dorothy Hassmiller Lich, Kristen Matern Child Health J Review Paper OBJECTIVES: System Dynamics (SD) is a promising decision support modeling approach for growing shared understanding of complex maternal and child health (MCH) trends. We sought to inventory published applications of SD to MCH topics and introduce the MCH workforce to these approaches through examples to support further iteration and use. METHODS: We conducted a systematic search (1958–2018) for applications of SD to MCH topics and characterized identified articles, following PRISMA guidelines. Pairs of experts abstracted information on SD approach and MCH relevance. RESULTS: We identified 101 articles describing applications of SD to MCH topics. Approach: 27 articles present qualitative diagrams, 10 introduce concept models that begin to quantify dynamics, and 67 present more fully tested/analyzed models. Purpose: The most common purposes described were to increase understanding (n = 55) and support strategic planning (n = 26). While the majority of studies (n = 53) did not involve stakeholders, 40 included what we considered to be a high level of stakeholder engagement – a strength of SD for MCH. Topics: The two Healthy People 2020 topics addressed most frequently were early and middle childhood (n = 30) and access to health services (n = 26). The most commonly addressed SDG goals were “End disease epidemics” (n = 26) and “End preventable deaths” (n = 26). CONCLUSIONS FOR PRACTICE: While several excellent examples of the application of SD in MCH were found, SD is still underutilized in MCH. Because SD is particularly well-suited to studying and addressing complex challenges with stakeholders, its expanded use by the MCH workforce could inform an understanding of contemporary MCH challenges. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10995-022-03376-8. Springer US 2022-02-21 2022 /pmc/articles/PMC9482604/ /pubmed/35188621 http://dx.doi.org/10.1007/s10995-022-03376-8 Text en © The Author(s) 2022 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/) .
spellingShingle Review Paper
Guynn, Isabella
Simon, Jessica
Anderson, Seri
Klaman, Stacey L.
Mullenix, Amy
Cilenti, Dorothy
Hassmiller Lich, Kristen
Tools for Supporting the MCH Workforce in Addressing Complex Challenges: A Scoping Review of System Dynamics Modeling in Maternal and Child Health
title Tools for Supporting the MCH Workforce in Addressing Complex Challenges: A Scoping Review of System Dynamics Modeling in Maternal and Child Health
title_full Tools for Supporting the MCH Workforce in Addressing Complex Challenges: A Scoping Review of System Dynamics Modeling in Maternal and Child Health
title_fullStr Tools for Supporting the MCH Workforce in Addressing Complex Challenges: A Scoping Review of System Dynamics Modeling in Maternal and Child Health
title_full_unstemmed Tools for Supporting the MCH Workforce in Addressing Complex Challenges: A Scoping Review of System Dynamics Modeling in Maternal and Child Health
title_short Tools for Supporting the MCH Workforce in Addressing Complex Challenges: A Scoping Review of System Dynamics Modeling in Maternal and Child Health
title_sort tools for supporting the mch workforce in addressing complex challenges: a scoping review of system dynamics modeling in maternal and child health
topic Review Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482604/
https://www.ncbi.nlm.nih.gov/pubmed/35188621
http://dx.doi.org/10.1007/s10995-022-03376-8
work_keys_str_mv AT guynnisabella toolsforsupportingthemchworkforceinaddressingcomplexchallengesascopingreviewofsystemdynamicsmodelinginmaternalandchildhealth
AT simonjessica toolsforsupportingthemchworkforceinaddressingcomplexchallengesascopingreviewofsystemdynamicsmodelinginmaternalandchildhealth
AT andersonseri toolsforsupportingthemchworkforceinaddressingcomplexchallengesascopingreviewofsystemdynamicsmodelinginmaternalandchildhealth
AT klamanstaceyl toolsforsupportingthemchworkforceinaddressingcomplexchallengesascopingreviewofsystemdynamicsmodelinginmaternalandchildhealth
AT mullenixamy toolsforsupportingthemchworkforceinaddressingcomplexchallengesascopingreviewofsystemdynamicsmodelinginmaternalandchildhealth
AT cilentidorothy toolsforsupportingthemchworkforceinaddressingcomplexchallengesascopingreviewofsystemdynamicsmodelinginmaternalandchildhealth
AT hassmillerlichkristen toolsforsupportingthemchworkforceinaddressingcomplexchallengesascopingreviewofsystemdynamicsmodelinginmaternalandchildhealth