urban-rural

urban-rural classifies U.S. counties and county-equivalent entities into six levels of urbanization, as defined by the National Center for Health Statistics (NCHS), to enable analysis of health disparities and opioid prescribing patterns across geographic and economic contexts.

Key Features:

• Six-Level Classification: Delineates counties into six categories ranging from central counties in large metropolitan areas to noncore nonmetropolitan rural counties for granular urbanization stratification.
• Integration with Health Data Systems: Maps the NCHS urban-rural categories to county-level health datasets to support analyses linking urbanization to health outcomes and service availability.
• Application in Opioid Prescribing Research: Enables comparison of opioid prescribing patterns and identification of variation in high-risk prescribing across urban-rural categories.
• Economic Distress Consideration: Facilitates joint analysis of urbanization and economic indicators, such as unemployment rates, to assess correlations with higher-risk opioid prescribing.
• Temporal Analysis Capability: Supports longitudinal tracking of opioid prescribing trends across urban-rural categories to compare temporal patterns.

Scientific Applications:

• Health Disparities Research: Differentiates levels of urbanization to identify geographic patterns in health disparities, including opioid-related differences.
• Public Health Policy Development: Informs strategies to mitigate opioid-related morbidity and mortality by highlighting urban-rural differences in prescribing and resource needs.
• Resource Allocation: Identifies regions with fewer healthcare resources to guide targeting of primary care, mental health services, alternative pain treatments, and opioid use disorder treatment.

Methodology:

The classification is based on county-level geographic data and socioeconomic indicators and incorporates county-level opioid prescribing metrics (for example, Washington State Prescription Monitoring Program) to evaluate interactions among urbanization level, economic distress, and prescribing patterns.