Behavioral and psychosocial factors associated with COVID-19 skepticism in the United States.

COVID-19 skepticism can be conceptualized as the denial of the seriousness of the illness and the perception that the pandemic is overblown or a hoax. In the current study, we examined the association between COVID-19 skepticism and frequency of engaging in COVID-19 prevention behaviors, political ideology, social norms about distancing, COVID-19 information-seeking behaviors, and COVID-19 conspiracy theories. A survey was administered from May 5th-14th. At that time, there were over 1 million COVID-19 cases in the US. Participants were recruited online through MTurk. The three outcome variables were handwashing, mask wearing, and social distancing. Injunctive and descriptive norms were assessed as well as measures of perceived risk to self and others. There were 683 participants in the analyses. In the multiple logistic regression model, those who were of younger age (aOR = 0.97, p < 0.05), better health (aOR = 0.56, p < 0.01), and more politically conservative (aOR = 1.32, p < 0.01) were more likely to endorse COVID-19 skepticism statements. People who reported higher Skepticism were also less likely to that believe people close to them would die from COVID-19 (aOR = 4.2, p < 0.01), engage in COVID-19 prevention behaviors, including spending time inside to prevent coronavirus (aOR = 0.33, p < 0.01) and frequently wear a mask outside (aOR = 0.44, p < 0.01). Those who were more skeptical about COVID-19 were also more likely to believe the conspiracy theory that China purposefully spread the virus (aOR = 6.38 p < 0.01). COVID-19 Skepticism was strongly associated with reduced engagement in COVID-19 prevention behaviors. These findings bolster the arguments for making these public health recommendations mandatory.

Lessons Learned from Implementing the SHIELD Intervention: A Peer Education Intervention for People Who Use Drugs.

HIV prevention and care peer education interventions have demonstrated effectiveness at changing HIV risk and care behaviors among a variety of at-risk populations in different settings. However, little is known about the implementation of this type of intervention in community-based settings. Further, there is limited information available regarding the facilitators and barriers to implementing peer education interventions in community-based settings. In this study, we explore implementation facilitators, barriers, and strategies to overcome these barriers among 12 organizations that implemented the SHIELD intervention, an evidenced-based peer education intervention for people who use drugs. Guided by the Consolidated Framework for Implementation Research, we identified several facilitators and barriers at the outer, inner individuals, and intervention level of the implementation process. Future evidence-based public health programs should, in addition to addressing effectiveness, be relevant to the needs and lives of clients.

Retention and Overdose Risk among Patients Receiving Substance Use Disorder Treatment, Mental Health Care and Peer Recovery Support: A Longitudinal Analysis.

BACKGROUND: Drug overdose remains a major crisis in the United States. Expanding substance use disorder (SUD) treatment and recovery support services is critical for reducing overdose risk during disasters such as the severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) pandemic. We evaluated the outcomes of an innovative multicomponent service, inclusive of medications for SUD, and peer support, colocated in an outpatient infectious disease clinic in Baltimore City. Our goal was to examine whether a multicomponent SUD program can support patients in recovery during a pandemic. METHODS: One hundred five patients in the RESTORE service between 2019-2020 completed baseline, 3-month, and 6-month surveys. Telemedicine and phone-based support groups were implemented in March 2020 after statewide restrictions on face-to-face services due to SARS-CoV2. Data from surveys and electronic medical records were integrated and analyzed using mixed-effects regression models. RESULTS: At baseline, most patients (88%) reported using drugs/alcohol in the preceding 30 days; 48% of patients reported a history of drug overdose, as well anxiety (23%) and depression (28%) symptoms. Despite pandemic-related disruptions and procedural changes, retention in RESTORE was high (83% after 3 months, 76% after 6 months). Mixed-effects regression models indicated decreased anxiety, alcohol use, heroin use, and nonfatal overdose after 6 months of enrollment (all P < 0.05). CONCLUSIONS: Multicomponent SUD services that are colocated within infectious disease specialty services could help patients to successfully manage their overdose risk and mental health even during future disasters. This model of care could be implemented in other specialty settings that see high rates of SUD.