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Introduction <p>To understand the dynamically complex causes of severe maternal mortality (SMM) among Black women in Texas, this study sought to answer the following questions: (1) What are the most important factors and forces that shape these outcomes?; (2) How have those factors and forces changed over time, and what caused them to change?; (3) How are those factors and forces related to one another over time, perhaps in nonlinear or cyclical ways?; and (4) Where are the leverage points for introducing interventions?</p> Methods <p>Two participatory system dynamics group modeling building (SD GMB) sessions (2.5 total days) were held during March 2024 in Texas with 17 community-based stakeholders. Session activities elicited key variables, behavior-over-time graphs, causal loop diagrams, and targets for action.</p> Results <p>Stakeholders identified 351 key variables: 72 results, 83 roles, 74 relationships, 43 rules, and 79 resources. Cumulatively, 75 themes emerged across these variables. Stakeholders generated 16 behavior-over-time graphs that exhibited high degrees of uniqueness. The two causal loop diagrams featured 15 reinforcing and 27 balancing loops, and 31 reinforcing and 6 balancing loops, respectively. Finally, 36 targets for action were identified.</p> Conclusions <p>This study provided insights into the most important factors that shape SMM outcomes, how those factors may have changed over time, what may have caused them to change, and how they function in nonlinear and circular ways. Initial interventions were also identified. These findings bolster complex systems-grounded approaches, such as SD GMB, in maternal health by demonstrating their value for generating novel insights.</p>

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Understanding and Addressing Severe Maternal Morbidity Among Black Women in Texas: Findings From a System Dynamics Group Model Building Study

  • 期刊论文

  • 发表日期：

    2025年7月29日

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

摘要

Introduction

To understand the dynamically complex causes of severe maternal mortality (SMM) among Black women in Texas, this study sought to answer the following questions: (1) What are the most important factors and forces that shape these outcomes?; (2) How have those factors and forces changed over time, and what caused them to change?; (3) How are those factors and forces related to one another over time, perhaps in nonlinear or cyclical ways?; and (4) Where are the leverage points for introducing interventions?

Methods

Two participatory system dynamics group modeling building (SD GMB) sessions (2.5 total days) were held during March 2024 in Texas with 17 community-based stakeholders. Session activities elicited key variables, behavior-over-time graphs, causal loop diagrams, and targets for action.

Results

Stakeholders identified 351 key variables: 72 results, 83 roles, 74 relationships, 43 rules, and 79 resources. Cumulatively, 75 themes emerged across these variables. Stakeholders generated 16 behavior-over-time graphs that exhibited high degrees of uniqueness. The two causal loop diagrams featured 15 reinforcing and 27 balancing loops, and 31 reinforcing and 6 balancing loops, respectively. Finally, 36 targets for action were identified.

Conclusions

This study provided insights into the most important factors that shape SMM outcomes, how those factors may have changed over time, what may have caused them to change, and how they function in nonlinear and circular ways. Initial interventions were also identified. These findings bolster complex systems-grounded approaches, such as SD GMB, in maternal health by demonstrating their value for generating novel insights.