By Newswise
A study analyzing prescription claims for a drug used to treat opioid addictions found that adolescents and young adults were less likely than usual to get treatment during the COVID-19 pandemic, especially if they were covered by private, commercial health insurance.
The findings of the study, conducted by researchers at Johns Hopkins Children’s Center and elsewhere, were published May 17 in the Journal of Adolescent Health.
The new research shows that young adults in their 20s were hardest hit by the economic disruptions of the pandemic, says Children’s Center adolescent and addiction medicine specialist Rachel Alinsky, M.D., M.P.H., who is also an assistant professor of pediatrics at the Johns Hopkins University School of Medicine.
Over the last two decades, while older adult addiction treatment rates increased, Alinsky says, treatment rates decreased for younger age groups. Meanwhile, she adds, a Centers for Disease Control and Prevention study shows there was a 49% rise in overdose rates among adolescents and young adults in 2019 and 2020 — early in the COVID-19 pandemic.
In a bid to learn how the COVID-19 pandemic affected access to addiction treatment for adolescents and young adults, the investigators focused on prescription claims for buprenorphine (often called Suboxone or Zubsolv), a medication prescribed to treat opioid use disorder (OUD). Among people in treatment for OUD, buprenorphine is considered the standard of care. Johns Hopkins Children’s Center experts note that adolescents and young adults with OUD are less likely than older adults with OUD to be prescribed buprenorphine – in part due to the stigma about OUD and its treatment, and the lack of treatment facilities geared toward these younger age groups.
Pulling information from a database of outpatient prescription claims in the U.S., managed by a company specializing in health information technology (IQVIA), the researchers identified prescription use changes among people aged 12 to 29 during the early phases of the COVID-19 pandemic. A total of 413,152 of these adolescents and young adults filled at least one buprenorphine prescription between January 2018 and August 2020. Monthly prescriptions during this time frame ranged from 90,932 to 120,740.
The team found that the monthly buprenorphine prescription rate increased by 8.3% among people aged 12 to 17, but it decreased by 7.5% among people aged 18 to 24 and 5.1% among those aged 25 to 29. While further breaking down the data based on health insurance coverage, the team discovered that most of the reduction in the number of young adult prescriptions was due to sharp declines in prescriptions filled with commercial insurance or cash. Prescriptions filled through commercial insurance decreased by 19.9% among people aged 18 to 24 and 11.8% among those aged 25 to 29. Prescriptions filled through cash decreased by 18.7% among people aged 18 to 24 and 19.9% for those aged 25 to 29.
By contrast, the number of prescriptions covered by Medicaid, a federal and state-supported program for people with limited income, did not significantly change.
“These findings highlight Medicaid as a safety net program that enabled these young people to continue their life-saving medication treatment, even during this time of financial crisis,” Alinsky says. “The economic disruptions due to COVID-19, such as job loss, are what likely led to decreases in treatment among those with commercial insurance, as well as a decrease in the number of people receiving treatment for the first time, she adds. Job losses during the pandemic likely caused many people to lose their private employer-sponsored health insurance, to not be able to afford their private insurance premiums, or not be able to afford medication copays. Young adults in their 20s have been found to be the age group hardest hit by these COVID-19 economic disruptions.”
The researchers say the U.S. government put some helpful policies in place – such as relaxing telemedicine restrictions – that made prescribing addiction treatments easier. However, “these government changes weren’t enough,” Alinsky says. The new study, she says, shows that such efforts failed young adults disproportionately because they were more susceptible to job loss and economic impacts that affected their ability to maintain commercial insurance and to continue treatment.
Alinsky cautions that the study did not include data on buprenorphine dispensed through opioid treatment programs, but the number of people under age 18 who participate in such programs is generally small. The researchers also did not have data identifying whether a young adult was a primary subscriber or a dependent in a commercial insurance plan, or whether buprenorphine was prescribed by a provider in person or through telemedicine.
The researchers say their study highlights the importance of protecting this vulnerable population, particularly during a pandemic or national emergency. Alinsky says the health care community needs to more broadly do all it can “to educate young adults on what their options are if they lose their insurance or have difficulty paying for their medications.” She also encourages adolescents and young adults to seek help for addiction and to make sure they have naloxone on hand to reverse the effects of an overdose.
“Anyone who uses opioids or is worried about a family member that is using substances can obtain naloxone from a pharmacy,” Alinsky says.
Regarding the next steps, Alinsky and her research team plan to study the potential effects of Medicaid policies on treatment access for young adults and adolescents.
A behavioral health treatment services locator is available on the U.S. Substance Abuse and Mental Health Services Administration website.
Along with Alinsky, study authors from Johns Hopkins are Laura Prichett, Hsien-Yen Chang, G. Caleb Alexander, and senior author Brendan Saloner. Bradley Stein from the RAND Corporation also contributed to the study.
Alinsky, Stein, and Saloner were supported by the RAND-USC Schaeffer Opioid Policy Tools and Information Center (P50DA046351). Data acquisition was supported by the IQVIA Institute for Human Data Science Research Collaborative.
