Exploring the Evidence-Based Practice Process with Social Work Practitioners.

PURPOSE: This study investigates social work practitioners' feasibility, attitudes, and familiarity with the Evidence Based Practice (EBP) process in their work and their ability to access and integrate research into their practice. MATERIALS AND METHODS: Social work practitioners (N = 256) were recruited through Reddit and Facebook and completed an online survey. Participants completed demographic questions (e.g. time in practice, degree type, practice role), research-seeking behaviors, and completed three subscales of the Rubin & Parish Evidence-Based Practice Process Assessment Scale. RESULTS: The three EBP process subscales assessed participants' familiarity, attitudes, and perceived feasibility of the EBP process. The familiarity subscale could range from zero to 40, and the mean in this sample was 26.75 (SD = 5.55). The attitudes subscale could range from 0 to 56, and the mean in this sample was 37.03 (SD = 5.49). Finally, the feasibility subscale could range from zero to 20, and the mean in this sample was 12.18 (SD = 2.81). A linear regression was run to predict familiarity, feasibility, and attitudes toward the EBP process. Those who reported seeking out research more often found the process more familiar and feasible. Those who were in practice longer found the EBP process less familiar and had more negative attitudes. DISCUSSION: Strategies to address research familiarity, feasibility, and attitudes toward the EBP process include continuing experiential learning in education, accessing research in social media, and the use of continuing education. CONCLUSION: Continuing to address the research-practice gaps is an essential step toward delivering EBP to clients.

Resilience Amid Chaos: Abortion Provision Across the United States During COVID-19.

Background: Pregnant people face many challenges to obtaining abortion services, including cost, stigma, administrative requirements, and legislative barriers. In 2020, the COVID-19 pandemic added additional barriers for clients and abortion service providers to overcome. Methods: The current study uses the Family Planning Visits During COVID-19 longitudinal dataset to explore abortion service provision from April 2020 through November 2020 from a sample of clinics (N = 63) providing abortion services across the United States. Results: Clinics in the sample were 49.2% academic/hospital-based, based in urban counties (96.8%), with a majority (82.5%) utilizing in-house providers for abortion care. Results show that the majority of clinics (59%) experienced staffing changes in response to COVID-19, including staff and clinicians who took extended leave, quit, were furloughed, or hired. Although the volume of overall abortion service provision decreased March through July 2020, the volume returned to pre-COVID numbers by August and surpassed pre-COVID volume in September and October 2020. Conclusion: Findings from this study demonstrate the adaptability and resilience shown by providers to ensure the continued availability of abortion services. Strategies adopted during COVID-19, such as telehealth and mail-delivery of abortion medication, may prove useful in a post-Roe legislative landscape.

Treating Young Adult Depression With Text-Delivered Cognitive Behavioral Therapy: A Pilot Randomized Clinical Trial.

Young adults (ages 18 to 25) in the U.S. suffer from the highest rates of past-year major depressive episode and are the least likely to receive treatment compared to other age groups. As such, we examined the feasibility, acceptability, and efficacy of a text-message delivered cognitive behavioral therapy: CBT-txt with young adults. The study was a 2-month pilot RCT to test a 4-week intervention for depression that contained 197 text messages (average 12 texts every other day). The sample, recruited via Facebook and Instagram, was 102 U.S. young adults who presented with at least moderate depressive symptomatology. Assessments occurred at baseline prior to randomization and at 1 and 2 months post enrollment. The primary outcome, severity of depressive symptoms, was assessed using the Beck Depression Inventory II. Feasibility benchmarks were met and participants reported high levels of engagement with and acceptability of the intervention. Logistic regression indicated that treatment participants were three times as likely to have minimal or mild depression symptoms at 2 months compared to waitlist control participants. Latent change score modeling found that the strongest significant treatment effect appeared at the 1-month follow-up period, particularly for participants who began with severe depressive symptoms. Mediation analysis revealed significant indirect treatment effects of increases in behavioral activation on reducing depressive symptoms, suggesting a mechanism of change. Limitations were that the sample was relatively small and consisted of primarily women. These results provide initial evidence for the feasibility, acceptability, and efficacy of a text-delivered treatment for young adult depression.

Impacts of the COVID-19 Pandemic on a Rural Opioid Support Services Program.

During 2020, Kentucky saw the third highest increase in overdose deaths in the U.S. Employment issues, inadequate housing, transportation problems, and childcare needs present barriers to accessing treatment in rural areas. These barriers and others (e.g., technology) arose during the pandemic negatively affecting individuals in recovery and service providers as they adjusted services to provide primarily telehealth and remote services. This study examines the impact of COVID-19 in its early stages on an opioid use disorder (OUD) support services program in a nonprofit located in rural eastern Kentucky, part of the central Appalachia region. A qualitative design was applied, employing semi-structured interviews in early fall 2020. Participants were associated with one OUD support services program, including service recipients, program coordinators, and business vendors. Guided by the Social Determinants of Health framework, two-cycle coding-descriptive coding and pattern coding-was utilized. Codes were sorted into three patterns: changes to daily life; financial impacts; and service access and provision. Overall, early stages of COVID-19 brought increased stress for individuals in recovery, as they were taking on more responsibility and navigating a changing environment. Coordinators were under pressure to provide services in a safe, timely manner. Vendors vocalized their struggles and successes related to finances. These findings can help organizations make realistic adjustments and policymakers set reasonable expectations and consider additional financial support.

Using the Health Belief Model to Identify Predictors of COVID-19 Vaccine Acceptance among a Sample of Pregnant Women in the U.S.: A Cross-Sectional Survey.

The aim of the study was to identify factors that predict acceptance of the COVID-19 vaccine among pregnant women. Using the Health Belief Model, the authors administered a cross-sectional survey of pregnant and postpartum women in the United States during the COVID-19 pandemic. Overall, 227 women agreed to participate and completed the entire survey. Over half (59%) the participants had received the COVID-19 vaccine at the time of the study. Perceived barriers to vaccination (p < 0.001) and perceived benefits (p < 0.001) to vaccination were statistically significant predictors of vaccination. Trust in healthcare providers was also statistically predictive of vaccination (p = 0.001). Binary regression results were statistically significant (χ2(9) = 79.90, p < 0.001), suggesting that perceived benefits, barriers, severity, and susceptibility scores had a statistically significant effect on the odds of a participant being vaccinated. Results indicate a need for increased patient education regarding COVID-19 vaccination during pregnancy, including the benefits of vaccination for mother and fetus.

Predicting Self-Medication with Cannabis in Young Adults with Hazardous Cannabis Use.

Using cannabis to reduce psychological and physical distress, referred to as self-medication, is a significant risk factor for cannabis use disorder. To better understand this high-risk behavior, a sample of 290 young adults (ages 18-25; 45.6% female) were recruited from two U.S. universities in January and February of 2020 to complete a survey about their cannabis use and self-medication. Results: seventy-six percent endorsed using cannabis to reduce problems such as anxiety, sleep, depression, pain, loneliness, social discomfort, and concentration. When predicting reasons for self-medication with cannabis, logistic regression models showed that lower CUDIT-R scores, experiencing withdrawal, living in a state where cannabis was illegal, and being female were all associated with higher rates of self-medication. Withdrawal symptoms were tested to predict self-medication with cannabis, and only insomnia and loss of appetite were significant predictors. To further explore why young adults self-medicate, each of the original predictors were regressed on seven specified reasons for self-medication. Young adults experiencing withdrawal were more likely to self-medicate for pain. Participants living where cannabis is legal were less likely to self-medicate for anxiety and depression. Living where cannabis is illegal also significantly predicted self-medicating for social discomfort-though the overall model predicting social discomfort was statistically non-significant. Finally, female participants were more likely to self-medicate for anxiety. These results suggest widespread self-medication among young adults with likely CUD and underscore the complexity of their cannabis use. The findings have implications for understanding why young adults use cannabis in relation to psychological and physical distress and for accurately treating young adults with cannabis use disorder.

Reducing Risk for Adolescent Substance Misuse with Text-Delivered Counseling to Adolescents and Parents.

Background: Text-delivered prevention programs provide unique opportunities to deliver substance use prevention interventions to at-risk populations. Methods: A pilot randomized controlled trial was conducted to test the feasibility, acceptability, and preliminary efficacy of a 4-week, automated personalized text-messaging prevention program, designed to reduce risk factors and increase protective factors associated with adolescent substance use and misuse. Sixty-nine adolescents were recruited from a Federally Qualified Health Care clinic and randomized to a text-delivered intervention, or a wait-list control condition. Simultaneously, fifty-two parents of adolescent participants were enrolled into a parenting skills text-delivered intervention. Participants completed a baseline assessment and three follow-up surveys over three-months. Adolescent saliva specimens for drug testing were collected. Results: All intervention-allocated adolescents implemented at least one of the text-based counseling recommendations and 79% indicated that they found the texts helpful. Significant intervention effects were found on risk and protective factors for substance misuse. Adolescents in the intervention group reported reduced depression symptoms (d = -.63) and anxiety symptoms (d = -.57). Relative to controls, adolescents in the intervention group maintained a higher quality of parental relationship (d = .41) and parenting skills (d = .51), suggesting a prophylactic effect. Marginal decrease in the odds of positive drug tests were found for youth in intervention group (77.1% decrease, p = 0.07) but not with controls (54.3% decrease, p = 0.42,). Conclusions: Results provide preliminary evidence in the feasibility, acceptability, and efficacy of targeting risk and protective factors that are implicated in substance use via text-delivered interventions for high-risk populations.