Assessing the accuracy of substance use disorder treatment search tools: A cross-sectional analysis of national and state-level directories

Abstract

Background: Addressing the critical public health crisis of substance use disorder (SUD), this study evaluates the accuracy of SUD treatment search tools, such as FindTreatment.gov, to connect patients with appropriate care. Methods: To ensure geographic diversity, we randomly selected one state from four distinct US regions (Arizona, Florida, Massachusetts, Ohio) and then randomly selected counties of varying sizes (one large, two medium, three small) within each state using a random number generator. Contact information for practices was extracted from the tools and validated through phone calls. The primary outcome measures were exact accuracy rate (wherein all information was accurate) and functional accuracy rate (wherein enough information was provided to facilitate care establishment). Results: A total of 697 practices from within ten SUD treatment search tools were assessed. Accuracy of the ten SUD treatment search tools varied considerably, with exact accuracy rates ranging from 9.1 % to 76.0 % (mean: 56.0 %) and functional accuracy rates from 50.0 % to 92.0 % (mean: 82.8 %). National tools exhibited higher accuracy for both exact accuracy rate (66.3 % v. 49.0 %; p = 0.2864) and functional accuracy rate (83.8 % v. 82.2 %; p = 0.9148) than state tools, while privately funded tools demonstrated higher accuracy for both exact accuracy rates (66.8 % v. 48.9 %; p = 0.2008) and functional accuracy rates (83.8 % v. 82.2 %; p = 0.9148), but none of these differences were statistically significant. Conclusions: This study found that SUD treatment search tools commonly list inaccurate information, underscoring the need for systematic improvements in data management and validation practices.

Keywords

• Alcohol & drug use
• Treatment assessment and planning
• Service delivery systems
• Referrals
• Public policy issues