Addressing Hypertension Disparities Via Systems Dynamics: Insights From Community Health Connections

Background and objective Hypertension remains a major public health challenge in the United States, disproportionately affecting various demographic groups. Significant disparities persist in hypertension prevalence and control due to interactions between socioeconomic factors, healthcare access, and systemic inequities. In this study, we aimed to determine the impact of socioeconomic and healthcare factors on hypertension control among patients at Community Health Connections (CHC), a Federally Qualified Health Center serving 36 communities in North Central Massachusetts, and identify effective interventions using systems dynamics modeling to promote health equity. Materials and methods This was a retrospective observational study using data from 2023 CHC patients, and the National Health and Nutrition Examination Survey (NHANES) 2011-2014. Systems dynamics modeling was employed to visualize interactions among factors influencing hypertension outcomes. The study included 4,870 CHC patients. Participants were selected based on clinical records and comprised 3,690 White participants (76%), 464 Black/African American participants (10%), 108 Asian participants (2%), and 608 classified as Other/Non-reported (12%). The cohort included 2,490 males (51%) and 2,380 females (49%). Socioeconomic factors (e.g., race, age, insurance status) and healthcare access were the study variables. The primary outcome was hypertension control, defined as a blood pressure reading of <140/90 mmHg. The study measured control rates across different demographic groups and assessed the impact of socioeconomic and healthcare factors on these rates. Results Among the 4,870 CHC patients, 3,007 (62%) achieved hypertension control. The overall hypertension control rate varied significantly by race: White: 68.6%, Black/African American: 61.6%, Asian: 63.2%, and Other/Non-reported: 65.6%. Insured patients had a control rate of 67.7%, compared to 37.5% for uninsured patients (p<0.001). Systems dynamics models illustrated how socioeconomic disparities and healthcare access issues amplify health inequities. Key interventions identified include, but are not limited to, multidisciplinary care teams, community health worker programs, and telehealth services. Conclusions Addressing hypertension disparities among CHC patients requires a systemic approach integrating socioeconomic, healthcare, and policy-related interventions. Systems dynamics modeling provides a framework for designing and implementing targeted interventions, enhancing health equity, and improving hypertension control outcomes in underserved populations. Further research is needed to test the effectiveness of these interventions before their broad implementation.