Engaging communities, modeling systems: lessons from system dynamics modeling on maternal health in Texas
This work demonstrates how SD GMB, when integrated with CBPR, can build trust, elevate marginalized voices, and produce models that reflect structural realities. Future directions include quantifying the models, hosting learning labs to test interventions, and developing an open-access dashboard to simulate policy scenarios. These findings contribute to ongoing efforts to design more engaging, community-informed approaches to maternal health research and practice.
Authors
- Deneen Robinson
- Saeideh Fallah‐Fini (ORCID: https://orcid.org/0000-0001-5726-4603)
- Tiffany B. Kindratt (ORCID: https://orcid.org/0000-0003-3513-5290)
- Kyrah K. Brown (ORCID: https://orcid.org/0000-0002-7028-6791)
- Mercy Obasanya
- Trevor W Lambert (ORCID: https://orcid.org/0000-0001-9688-3036)
- David W. Lounsbury (ORCID: https://orcid.org/0000-0001-8539-4659)
- Michael Kenneth Lemke (ORCID: https://orcid.org/0000-0001-9279-8037)
Institutions
- Albert Einstein College of Medicine (US)
- The University of Texas at San Antonio Health Science Center (US)
- The University of Texas at Arlington (US)
- Technical Resource Group (United States) (US)
- The University of Texas Health Science Center at Houston (US)
- California State Polytechnic University (US)
Publication Details
- Journal
- Frontiers in Global Women s Health
- Published
- 2025-09-25
- DOI
- https://doi.org/10.3389/fgwh.2025.1577568
- Citations
- 2
- Primary Topic
- Health Policy Implementation Science
- Type
- article
- Field-Weighted Citation Impact
- 5.63