Key Takeaways
Extended Takeaways
- Self-pay represented 43.0% of SUD service utilizations but only 5.1% of SUD service expenditures, indicating that a large share of SUD care is occurring through lower-cost ambulatory care and prescriptions rather than more intensive covered services.
- County-level SUD utilization varied markedly, with 23.3% of counties below 3.0 per 1,000 residents and 9.3% at ≥10.0 per 1,000 residents, suggesting that local treatment access and financing conditions differ enough to warrant county-targeted planning rather than state-level assumptions alone.
- The uninsured rate was the strongest county-level correlate of lower SUD service use across overall utilization, self-pay, and Medicaid models, with Model 4 β values of −.45, −.40, and −.46, respectively; counties with high uninsured rates may therefore be especially important targets for insurance enrollment and coverage stabilization efforts.
- Unemployment showed payer-specific associations: it was positively associated with SUD utilization overall, for self-pay, and for Medicaid, but negatively associated with private insurance utilization (Model 4: β = −.12, P < .0001), which is clinically relevant in areas where employer-sponsored coverage may be more vulnerable during economic downturns.
- Compared with overall health care utilization, county characteristics explained much more of the variation in SUD service use than general medical use, with Model 4 accounting for 57.5% of SUD variance versus 20.2% for overall health conditions, supporting the need to assess SUD service infrastructure and financing separately from general health care capacity.
- Differences between high- and low-use counties were especially large for Medicaid, where top- versus bottom-quintile counties differed 10.4-fold (16.6 vs 1.6 per 1,000 county Medicaid enrollees), larger than the corresponding gaps for self-pay and private insurance, highlighting Medicaid’s central role in counties with the greatest SUD treatment intensity.