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A Study on CKD Progression and Health Disparities Using System Dynamics Modeling.
Ahmeed Yinusa1, Misagh Faezipour2, Miad Faezipour3
1Computational and Data Science Program, Middle Tennessee State University, Murfreesboro, TN 37132, USA.
Healthcare (Basel, Switzerland)
|September 23, 2022
Summary
Chronic kidney disease (CKD) affects millions, with significant health disparities impacting minority treatment. System dynamics modeling reveals factors influencing CKD progression and highlights inherent healthcare gaps.
Area of Science:
- Public Health
- Health Disparities Research
- Systems Biology
Background:
- Chronic kidney disease (CKD) is a major public health issue in the US, affecting 37 million adults.
- Significant health disparities exist in CKD treatment and management, particularly for minority populations.
- Existing healthcare gaps necessitate urgent interventions to improve outcomes for affected minorities.
Purpose of the Study:
- To apply system dynamics modeling to understand CKD progression.
- To analyze health disparities in CKD treatment among minority groups.
- To identify dynamic factors influencing CKD incidence and prevalence.
Main Methods:
- Utilized system dynamics modeling to simulate CKD progression.
- Incorporated data on health interventions for minority CKD patients.
- Employed graphical analysis to visualize model outputs.
Main Results:
- The model demonstrated relationships between dynamic factors affecting CKD incidence and prevalence.
- Identified key variables influencing the progression of chronic kidney disease.
- Highlighted the systemic nature of health disparities in CKD management.
Conclusions:
- Health disparities are intrinsically linked to the treatment and management of CKD.
- System dynamics modeling provides valuable insights into complex health issues like CKD.
- Further research and interventions are needed to address healthcare gaps for minorities with CKD.
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