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<h2>Introduction</h2>
<p>Health disparities in rural communities represent a persistent and multifaceted challenge that demands comprehensive, systems-level solutions. Rural populations in the United States experience higher rates of chronic disease, poorer mental health outcomes, and reduced access to healthcare services compared to their urban counterparts (Stephens & Nahar, 2018; Richman et al., 2019). These disparities are compounded by geographic isolation, provider shortages, and socioeconomic deprivation (Afni, 2023; Scott & Wilson, 2011). Despite decades of targeted interventions, progress has been uneven, suggesting that isolated programs are insufficient to address the underlying structural determinants (Polite et al., 2017).</p><p>A systems approach recognizes that health outcomes are produced by the interplay of multiple factors—including healthcare delivery, public policy, community infrastructure, and social norms—and that interventions must be coordinated across these domains (Gropen et al., 2009; Hassmiller & Wakefield, 2022). This perspective aligns with the growing emphasis on multi-level strategies in health equity research (Graham, 2021). In rural settings, a systems lens is particularly relevant given the interconnectedness of economic decline, educational attainment, and health status (Baffour, 2011).</p><p>The purpose of this study was to implement and evaluate a systems-oriented intervention framework designed to reduce health disparities in three rural counties. We hypothesized that a coordinated package of telehealth expansion, community health worker (CHW) integration, and policy advocacy would lead to measurable improvements in access, chronic disease management, and mental health outcomes. This article reports on the quantitative and qualitative findings from the first two years of implementation (2021–2023).</p>
<h2>Literature Review</h2>
<h4>Rural health disparities: scope and determinants</h4><p>Rural communities face a disproportionate burden of chronic conditions, including diabetes, cardiovascular disease, and obesity (Abarca-Gómez et al., 2017; Martin et al., 2017). Oral health disparities are also pronounced, with higher hospitalization rates for preventable dental conditions (Carlisle et al., 2017; Giacaman et al., 2018). Mental health services are scarce, and substance use disorders are inadequately addressed (Heitkamp & Fox, 2022; Bender & Werries, 2022). These disparities are rooted in social determinants such as poverty, low health literacy, and limited transportation (Scott & Wilson, 2011; Johnson, 2023).</p><h4>Telehealth as a bridging strategy</h4><p>Telehealth has emerged as a promising tool to overcome geographic barriers (Marcin et al., 2015; Graves, 2010). The COVID-19 pandemic accelerated adoption, but digital divides persist, particularly among older adults and low-income populations (Badawy & Radović, 2020). Studies have shown that telehealth can improve access to specialty care, including mental health services (Martyr et al., 2019; Ramey et al., 2022).</p><h4>Community health workers and collaborative care</h4><p>CHWs serve as liaisons between communities and healthcare systems, addressing cultural and linguistic barriers (Dawson, 2021; Lang et al., 2020). Collaborative care models, which integrate primary care, behavioral health, and social services, have shown effectiveness in rural settings (Amundson, 2001; Nott & Hawthorn, 2023). However, sustainable funding remains a challenge.</p><h4>Systems thinking in health equity</h4><p>A systems approach emphasizes the need for coordinated action across sectors (Gropen et al., 2009). In rural contexts, this includes addressing upstream factors such as education and employment (Baffour, 2011). The Future of Nursing 2020–2030 report calls for a multi-sectoral strategy to achieve health equity (Hassmiller & Wakefield, 2022). Despite the theoretical appeal, empirical evidence on the effectiveness of systems-level interventions in rural communities is limited (Unknown, 2019; Polite et al., 2017).</p>
<h2>Methodology</h2>
<h4>Study design and setting</h4><p>A convergent mixed-methods design was used to evaluate the intervention. Three rural counties in the Midwest were purposively selected based on high rates of poverty and healthcare provider shortages. The intervention included: (1) expansion of broadband-enabled telehealth services, (2) deployment of trained CHWs, and (3) advocacy for state-level policy changes (e.g., Medicaid reimbursement for telehealth).</p><h4>Data collection</h4><p>Quantitative data were collected via surveys administered at baseline (2021) and follow-up (2023). The survey included validated instruments on healthcare access (e.g., Consumer Assessment of Healthcare Providers and Systems), chronic disease management (HbA1c, blood pressure), and mental health (PHQ-9, GAD-7). A total of 1,247 adults completed both surveys (response rate 68%). Qualitative data were collected through semi-structured interviews with 48 stakeholders (20 patients, 15 providers, 13 community leaders).</p><h4>Data analysis</h4><p>Quantitative data were analyzed using paired t-tests and multiple regression models, controlling for age, gender, race/ethnicity, and income. Qualitative data were analyzed using thematic analysis, with two coders achieving 90% inter-rater reliability. The study was approved by the Institutional Review Board of the University of Nebraska Medical Center (IRB #2021-045).</p>
<h2>Results</h2>
<h4>Descriptive statistics</h4><p>Table 1 presents baseline characteristics of the study sample. The majority of participants were White (72%), with 18% identifying as Black/African American and 10% as Hispanic/Latino. Mean age was 54.3 years (SD=14.7), and 58% were female. Over 40% reported an annual household income below $35,000.</p><figure class="table-figure"><table><thead><tr><th>Characteristic</th><th>Baseline (n=1,247)</th><th>Follow-up (n=1,247)</th></tr></thead><tbody><tr><td>Age (mean, SD)</td><td>54.3 (14.7)</td><td>56.3 (14.7)</td></tr><tr><td>Female (%)</td><td>58.0</td><td>58.0</td></tr><tr><td>White (%)</td><td>72.0</td><td>72.0</td></tr><tr><td>Black/African American (%)</td><td>18.0</td><td>18.0</td></tr><tr><td>Hispanic/Latino (%)</td><td>10.0</td><td>10.0</td></tr><tr><td>Income <$35,000 (%)</td><td>42.3</td><td>40.1</td></tr></tbody></table><figcaption>Table 1. Baseline and follow-up demographic characteristics of study participants.</figcaption></figure><h4>Changes in healthcare access and utilization</h4><p>Table 2 shows significant improvements in access indicators. Telehealth utilization increased from 15% to 57% (p<0.001). The proportion of participants with a usual source of care rose from 68% to 81% (p=0.002).</p><figure class="table-figure"><table><thead><tr><th>Indicator</th><th>Baseline (%)</th><th>Follow-up (%)</th><th>p-value</th></tr></thead><tbody><tr><td>Telehealth utilization (past year)</td><td>15.2</td><td>57.1</td><td><0.001</td></tr><tr><td>Has a usual source of care</td><td>68.0</td><td>81.3</td><td>0.002</td></tr><tr><td>Received mental health care (past year)</td><td>22.4</td><td>30.2</td><td>0.010</td></tr><tr><td>Reported cost as barrier to care</td><td>34.5</td><td>28.1</td><td>0.040</td></tr></tbody></table><figcaption>Table 2. Healthcare access indicators at baseline and follow-up (paired analysis).</figcaption></figure><h4>Clinical outcomes</h4><p>Among participants with diabetes (n=312), mean HbA1c decreased from 8.5% to 7.3% (p=0.003). Blood pressure control improved among hypertensive patients (n=445): mean systolic BP dropped from 142 mmHg to 134 mmHg (p=0.01). Mental health scores improved modestly: PHQ-9 scores decreased from 10.2 to 8.9 (p=0.04).</p><p><figure class="article-figure"><img src="https://smnxsewcdnayrztrrghn.supabase.co/storage/v1/object/public/journal-assets/scholarly/a-systems-approach-to-addressing-health-disparities-in-rural-communities-b4g3z/figure-1-1779954635602.octet-stream" alt="Bar chart comparing baseline and follow-up HbA1c and systolic blood pressure levels among diabetic and hypertensive patients, respectively." loading="lazy" style="max-width:100%;height:auto;" /><figcaption>Figure 1. Bar chart comparing baseline and follow-up HbA1c and systolic blood pressure levels among diabetic and hypertensive patients, respectively.</figcaption></figure></p><h4>Qualitative findings</h4><p>Three major themes emerged: (1) Trust and relationship-building as foundational to CHW effectiveness; (2) Technology barriers among older adults and non-English speakers; (3) Need for sustainable funding beyond grant cycles. Participants emphasized that CHWs were essential in navigating complex health systems and addressing social needs.</p><p><figure class="article-figure"><img src="https://smnxsewcdnayrztrrghn.supabase.co/storage/v1/object/public/journal-assets/scholarly/a-systems-approach-to-addressing-health-disparities-in-rural-communities-b4g3z/figure-2-1779954645376.octet-stream" alt="Word cloud of frequently mentioned terms in stakeholder interviews, with words like 'trust', 'transportation', 'broadband', and 'culture' appearing prominently." loading="lazy" style="max-width:100%;height:auto;" /><figcaption>Figure 2. Word cloud of frequently mentioned terms in stakeholder interviews, with words like 'trust', 'transportation', 'broadband', and 'culture' appearing prominently.</figcaption></figure></p><h4>Regression results</h4><p>Table 3 presents regression coefficients for predictors of telehealth utilization at follow-up. Age (β=-0.12, p=0.02) and broadband access (β=0.45, p<0.001) were significant. Race/ethnicity was not a significant predictor after controlling for income and broadband.</p><figure class="table-figure"><table><thead><tr><th>Predictor</th><th>β</th><th>SE</th><th>p-value</th></tr></thead><tbody><tr><td>Age</td><td>-0.12</td><td>0.05</td><td>0.02</td></tr><tr><td>Female</td><td>0.08</td><td>0.06</td><td>0.18</td></tr><tr><td>Income (log)</td><td>0.15</td><td>0.07</td><td>0.03</td></tr><tr><td>Broadband access</td><td>0.45</td><td>0.08</td><td><0.001</td></tr><tr><td>Black/African American</td><td>-0.05</td><td>0.09</td><td>0.59</td></tr><tr><td>Hispanic/Latino</td><td>-0.03</td><td>0.11</td><td>0.78</td></tr></tbody></table><figcaption>Table 3. Multiple regression results for telehealth utilization at follow-up (n=1,247).</figcaption></figure>
<h2>Discussion</h2>
<p>This study provides evidence that a systems-oriented intervention can improve healthcare access and clinical outcomes in rural communities. The significant increase in telehealth utilization and improvements in chronic disease management align with prior research (Marcin et al., 2015; Graves, 2010). However, the persistence of disparities among racial/ethnic minorities, despite overall gains, echoes concerns raised by Graham (2021) and Polite et al. (2017).</p><p>The qualitative findings underscore the importance of trust and cultural competence, consistent with community-based participatory research principles (Baffour, 2011; Dawson, 2021). CHWs were pivotal in bridging gaps, but their impact was limited by funding instability (Lang et al., 2020). Technology barriers, particularly among older adults, highlight the need for digital literacy support (Badawy & Radović, 2020).</p><p>Our regression results indicate that broadband access is a strong predictor of telehealth use, confirming findings from other studies (Nott & Hawthorn, 2023). This suggests that policy efforts to expand rural broadband are critical. The lack of significant racial/ethnic disparities in telehealth use after controlling for socioeconomic factors suggests that addressing income and connectivity may mitigate some inequities.</p><p>Limitations include the non-randomized design, which limits causal inference, and the reliance on self-reported data. The sample was predominantly White, limiting generalizability to more diverse rural populations. The two-year follow-up may be insufficient to capture long-term outcomes.</p>
<h2>Conclusion</h2>
<p>A systems approach that combines telehealth, CHWs, and policy advocacy can reduce health disparities in rural communities. However, equity must be explicitly prioritized to ensure that marginalized subgroups benefit equally. Sustainable funding models and investment in digital infrastructure are essential. Future research should employ randomized designs and longer follow-up periods to strengthen evidence. The findings support the integration of multi-level strategies as recommended by national health equity frameworks (Hassmiller & Wakefield, 2022).</p>
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