Evidence map›Paper›PMID 42220471›Full record

ArticleSystem dynamics review

One Month, Two Projects, Many Lessons: Insights From Concurrent System Dynamics Group Model Building Approaches.

Michael K Lemke, Kyrah K Brown, Saeideh Fallah-Fini, David W Lounsbury, Tiffany Kindratt, Deneen Robinson, Thanayi Lambert

Abstract read
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In one paragraph

Article in System dynamics review. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Michael K LemkeDepartment of Environmental & Occupational Health Sciences, School of Public Health, The University of Texas Health Science Center at Houston - San Antonio Campus, San Antonio, Texas, USA.ORCID 0000-0002-5921-1473
Kyrah K BrownDepartment of Kinesiology, College of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, Texas, USA.ORCID 0000-0002-7028-6791
Saeideh Fallah-FiniIndustrial and Manufacturing Engineering Department, College of Engineering, California State Polytechnic University, Pomona, California, USA.
David W LounsburyDepartment of Epidemiology & Population Health, Division of Health Behavior Research and Implementation Science, Albert Einstein College of Medicine, Bronx, New York, USA.
Tiffany KindrattDepartment of Kinesiology, College of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, Texas, USA.
Deneen RobinsonTruth Pregnancy Resource Center, Dallas, Texas, USA.
Thanayi LambertDepartment of Undergraduate Nursing, College of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, Texas, USA.

Funding

Complex Systems Approaches to Advance Maternal Health Research and Prevention: Developing a System Dynamics Simulation Model of Severe Maternal Morbidity among Black Women in North Texas.R01MD017596 · NIMHD · UNIVERSITY OF TEXAS ARLINGTON · PI Kyrah K Brown, Michael Kenneth Lemke · 2023 to 2026
$1.8M
NIMHD NIH HHS R01 MD017596
6 · The paper itself

Abstract

Although maternal morbidity and mortality are persistent public health burdens in the U.S., few studies have addressed these outcomes from a complex systems perspective. To bridge this knowledge gap, two SD modeling projects that apply community-based system dynamics group model building (SD GMB) are ongoing. With core SD GMB meetings with community participants having taken place within the same calendar month, the close timing of these processes provided a unique opportunity for rapid learning by the research team and the adaptation of the specific approaches employed across projects. Applying tenets of reflexivity, this paper describes how SD GMB activities were conceptualized, planned, and implemented, offering reflections on the effectiveness of our approach by drawing upon our own insights about successes, failures, and apparent enigmas in each project. These reflections are described as five 'lessons' that may offer valuable insights for others engaging in the formative phase of SD GMB projects.

Indexed as

causal loop diagramcommunity-basedgroup model buildingmaternal healthsystem dynamicssystems thinking

Identifiers

PMID42220471
PMCPMC13218776

What OpenQuestion holds

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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.