Impact of mandatory COVID-19 shelter-in-place order on controlled substance use among rural versus urban communities in the United States

Autor: Daniel Maeng, Yue Li, Michele Lawrence, Sinead Keane, Wendi Cross, Kenneth R. Conner, Hochang B. Lee
Rok vydání: 2022
Předmět:
Zdroj: The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care AssociationREFERENCES. 39(1)
ISSN: 1748-0361
Popis: Mandatory COVID-19 shelter-in-place (SIP) orders have been imposed to fight the pandemic. They may also have led to unintended consequences of increased use of controlled substances especially among rural communities due to increased social isolation. Using the data from the American Association of Poison Control Centers, this study tests the hypothesis that the poison control centers received higher rates of calls related to exposures to controlled substances from rural counties than they did from urban counties during the SIP period.Call counts received by the poison control centers between October 19, 2019 and July 6, 2020 due to exposure to controlled substance (methamphetamine, opioids, cocaine, benzodiazepines, and other narcotics) were aggregated to per-county-per-month-per-10,000 population exposure rates. A falsification test was conducted to reduce the possibility of spurious correlations.During the study period, 2,649 counties in the United States had mandatory SIP orders. The rate of calls reporting exposure to any of the aforementioned controlled substances among the rural counties was higher (14%; P = .047) relative to the urban counties. This overall increase was due to increases in the rates of calls reporting exposure to opioids (26%; P = .017) and methamphetamine (39%; P = .077). Moreover, the rate of calls reporting exposures at home was also higher among the rural counties (14%; P = .069).The mandatory SIP orders may have had an unintended consequence of exacerbating the use of controlled substances at home in rural communities relative to urban communities.
Databáze: OpenAIRE