Trends in substance use disorder diagnoses among Veterans, 2009-2019.

The American journal on addictions(2023)

引用 1|浏览21
暂无评分
摘要
BACKGROUND AND OBJECTIVES:Substance use disorder (SUD) represents a substantial health burden to US Veterans. We aimed to quantify recent time trends in Veterans' substance-specific disorders using Veterans Health Administration (VA) data. METHODS:We identified Veteran VA patients for fiscal years (FY) 2010-2019 (October 1, 2009-September 9, 2019) and extracted patient demographics and diagnoses from electronic health records (~6 million annually). We defined alcohol, cannabis, cocaine, opioid, sedative, and stimulant use disorders with ICD-9 (FY10-FY15) or ICD-10 (FY16-FY19) codes and variables for polysubstance use disorder, drug use disorder (DUD), and SUD. RESULTS:Diagnoses for substance-specific disorders (excluding cocaine), polysubstance use disorder, DUD, and SUD increased 2%-13% annually for FY10-FY15. Alcohol, cannabis, and stimulant use disorders increased 4%-18% annually for FY16-FY19, while cocaine, opioid, and sedative use disorders changed by ≤1%. Stimulant and cannabis use disorder diagnoses increased most rapidly, and older Veterans had the largest increases across substances. DISCUSSION AND CONCLUSIONS:Rapid increases in cannabis and stimulant use disorder present a treatment challenge and key subgroups (e.g., older adults) may require tailored screening and treatment options. Diagnoses for SUD are increasing among Veterans overall, but there is important heterogeneity by substance and subgroup. Efforts to ensure access to evidence-based treatment for SUD may require greater focus on cannabis and stimulants, particularly for older adults. SCIENTIFIC SIGNIFICANCE:These findings represent the first assessment of time trends in substance-specific disorders among Veterans, overall and by age and sex. Notable findings include large increases in diagnoses for cannabis and stimulant use disorder and among older adults.
更多
查看译文
关键词
veterans,disorder diagnoses,substance
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要