Addiction Medicine Treatment Utilization by Race/Ethnicity Among Adolescents With Substance Use Problems Before Versus During the COVID-19 Pandemic

J Adolesc Health. 2024 Jun;74(6):1260-1263. doi: 10.1016/j.jadohealth.2024.01.009. Epub 2024 Feb 26.

Abstract

Purpose: To examine changes in addiction medicine treatment utilization during the COVID-19 pandemic among adolescents (aged 13-17 years) and differences by race/ethnicity.

Methods: We compared treatment initiation (overall and telehealth), engagement, and 12-week retention between insured adolescents with substance use problems during pre-COVID-19 (March to December 2019, n = 1,770) and COVID-19 (March to December 2020, n = 1,177) using electronic health record data from Kaiser Permanente Northern California.

Results: Compared to pre-COVID-19, odds of treatment initiation, overall (adjusted odds ratio [95% confidence interval] = 1.42 [1.21-1.67]), and telehealth (5.98 [4.59-7.80]) were higher during COVID-19, but odds of engagement and retention did not significantly change. Depending on the outcome, Asian/Pacific Islander, Black, and Latino/Hispanic (vs. White) adolescents had lower treatment utilization across both periods. Changes in utilization over time did not differ by race/ethnicity.

Discussion: Addiction medicine treatment initiation increased among insured adolescents during the pandemic, especially via telehealth. Although racial/ethnic disparities in treatment utilization persisted, they did not worsen.

Keywords: COVID-19 pandemic; Disparities; Substance use disorder; Telehealth; Treatment initiation; Treatment utilization; Unhealthy substance use.

MeSH terms

  • Addiction Medicine
  • Adolescent
  • COVID-19* / ethnology
  • California
  • Ethnicity / statistics & numerical data
  • Female
  • Humans
  • Male
  • Pandemics
  • Patient Acceptance of Health Care / ethnology
  • Patient Acceptance of Health Care / statistics & numerical data
  • SARS-CoV-2
  • Substance-Related Disorders* / ethnology
  • Substance-Related Disorders* / therapy
  • Telemedicine / statistics & numerical data