🏥 SDOH & Medication Risk Analysis: Visit Outcome Assessment

📋 Risk Group Classifications & Rationale

🏥 Medication Risk Groups (MED_RISK_GROUP)

High Risk: Patients with complex medication regimens or high-risk drug combinations that require intensive monitoring and frequent clinical oversight. These patients are classified as high-risk because medication complexity increases the likelihood of adverse events, drug interactions, and the need for regular clinical monitoring to ensure therapeutic effectiveness and safety.

Medium Risk: Patients with moderate medication complexity requiring standard monitoring protocols.

Low Risk: Patients with simple medication regimens requiring minimal clinical oversight.

🏠 Social Determinants of Health (SDOH) Risk (HAS_HIGH_SDOH_CONCERNS)

High SDOH Risk (1): Patients facing significant social barriers such as housing instability, food insecurity, transportation challenges, or financial hardship. These patients are considered high-risk because social determinants significantly impact healthcare access, medication adherence, and ability to attend follow-up appointments, leading to poorer health outcomes and higher healthcare utilization patterns.

Low SDOH Risk (0): Patients with stable social conditions and minimal barriers to healthcare access.

📊 SDOH Concern Count (HIGH_CONCERN_COUNT)

Multiple Concerns (2+): Patients experiencing multiple simultaneous social challenges creating compounding barriers to care. This classification is critical because research demonstrates that the accumulation of social risk factors has a multiplicative rather than additive effect on health outcomes, with each additional social barrier exponentially increasing the risk of care disruption and poor clinical outcomes.

Single/No Concerns (0-1): Patients with minimal or isolated social challenges that are more manageable.

🎯 Comprehensive Risk Categories

High Med + High SDOH: The highest-risk patient population combining complex medication needs with significant social barriers. These patients require intensive case management because they face dual challenges: the clinical complexity of their medication regimen demands frequent monitoring, while social barriers simultaneously impede their ability to access and engage with healthcare services consistently.

High Med + Low SDOH: Patients with complex medications but stable social conditions.

Low Med + High SDOH: Patients with simple medications but significant social barriers.

Low Med + Low SDOH: The lowest-risk population with both simple medication needs and stable social conditions.

📈 Dataset Overview

📊 Risk Factor Distributions

Population Distribution by Risk Categories

Risk Factor Distributions

Risk Factor Distributions

🎯 Never Visit Rates by Risk Factors

Never Visit Rates Across All Risk Classifications

Never Visit Rates Analysis

Never Visit Rates Analysis

📊 Statistical Analysis Results

Risk Factor Chi-square Statistic P-value Statistical Significance (α=0.05)
Medication Risk Group 25.5462 0.000000 Yes
SDOH High Concerns 0.0000 1.000000 No
SDOH Concern Count 1.7399 0.783454 No
SDOH Concern Level 0.5720 0.902819 No
Comprehensive Risk 27.2930 0.000005 Yes

🔍 Key Findings

Primary Findings:

  • Overall Never Visit Rate: 42.7% of patients never return for follow-up care
  • Highest Medication Risk: High medication risk patients have a 44.5% never visit rate
  • SDOH Impact: High SDOH risk patients: 42.6% vs Low SDOH risk patients: 42.7%
  • Comprehensive Risk: High Med + High SDOH patients show the highest never visit rate at 45.9%

💡 Clinical Recommendations

Key Recommendations:

  • Priority Intervention: Target high med + high sdoh patients for intensive case management and follow-up, as they demonstrate the highest never visit rate at 45.9%. Implement specialized care coordination protocols that address both medication complexity and social barriers simultaneously.
  • Resource Allocation: Develop integrated care pathways combining medication management services with SDOH support programs, prioritizing patients with combined high medication and social risks who face dual challenges in accessing and engaging with healthcare services consistently.

📝 Methodology Notes

Statistical Testing: Chi-square tests of independence were performed to assess associations between each risk factor and visit outcomes. A significance level of α = 0.05 was used to determine statistical significance.

Risk Stratification: Patients were classified into risk groups based on medication complexity, social determinants of health assessments, and combined risk profiles to identify populations most likely to experience care disruption.

Clinical Relevance: This analysis provides evidence-based insights for healthcare organizations to prioritize interventions, allocate resources, and develop targeted strategies to improve patient engagement and care continuity.


Report Generated: Healthcare Data Analysis | SDOH & Medication Risk Assessment
Analysis Complete - Review findings for clinical implementation