Evidence map›Paper›PMID 35188621›Full record

ArticleMaternal and child health journal2022

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

Isabella Guynn, Jessica Simon, Seri Anderson, Stacey L Klaman, Amy Mullenix, Dorothy Cilenti, Kristen Hassmiller Lich

Abstract readScoping Review
In one paragraph

Article in Maternal and child health journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Trial
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Isabella GuynnDepartment of Maternal and Child Health, National MCH Workforce Development Center, University of North Carolina at Chapel Hill, 412 Rosenau Hall, Chapel Hill, NC, 27599, USA.
Jessica SimonHealth Systems Transformation, Association of Maternal and Child Health Programs, 1825 K Street NW, Suite 250, Washington D.C, 20006, USA.
Seri AndersonDepartment of Maternal and Child Health, National MCH Workforce Development Center, University of North Carolina at Chapel Hill, 412 Rosenau Hall, Chapel Hill, NC, 27599, USA.
Stacey L KlamanFamily Health Centers of San Diego, 823 Gateway Center Way, San Diego, CA, 92102, USA.
Amy MullenixDepartment of Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 402A Rosenau Hall, Chapel Hill, NC, 27599, USA.
Dorothy CilentiDepartment of Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 402A Rosenau Hall, Chapel Hill, NC, 27599, USA.
Kristen Hassmiller LichDepartment of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 1105E McGavaran-Greenberg Hall, Chapel Hill, NC, 27599, USA. klich@unc.edu.ORCID http://orcid.org/0000-0002-3311-4202

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSystem 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.

methodsWe 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.

resultsWe 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.

Indexed as

Child HealthHealth WorkforceChildHumansMaternal-Child Health CentersCausal loopScoping reviewSimulationStrategic planningSystem dynamics

Identifiers

PMID35188621
PMCPMC9482604

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.