Testing the efficacy of narrator empathy, self-disclosure, gender, and use of brief motivational interviewing techniques in a brief internet-based intervention for alcohol use.

OBJECTIVE: Nonspecific relational factors, such as therapist empathy, play an important role in therapy effectiveness. Building on this literature, some researchers have attempted to incorporate relational factors into electronic brief interventions (e-BIs) by using interactive narrators to guide participants through the intervention. However, few studies have examined which characteristics of these interactive narrators increase intervention acceptability and efficacy. The present study sought to systematically manipulate animated narrator characteristics in an e-BI and to examine their effects on respondents' alcohol use and subjective reactions. METHOD: Participants (N = 348) were randomly assigned to 1-16 possible combinations of four narrator-level characteristics in a 2 × 2 × 2 × 2 factorial trial evaluating narrator empathy, self-disclosure, gender, and the use of brief motivational interviewing (BMI) techniques. We measured main and interaction effects of these characteristics on the primary outcome of typical drinks per week at 1-month follow-up. Secondary outcomes included maximum drinks, alcohol consequences, and subjective reactions to the intervention, with additional secondary analyses evaluating moderation by participant gender. RESULTS: Participants showed reductions in all alcohol outcomes. These reductions were stronger for participants exposed to either narrator disclosure or BMI techniques (vs. neither). Participants in the high empathy condition rated the intervention as more supportive, while those exposed to BMI techniques reported feeling more criticized by the intervention. CONCLUSIONS: Specific narrator-level characteristics, such as narrator self-disclosure and empathy, may improve the efficacy or acceptability of e-BIs. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Risk Identification in Perinatal Health Care Settings via Technology-Based Recruitment Methods: Comparative Study.

BACKGROUND: Digital screening and intervention tools have shown promise in the identification and reduction of substance use in health care settings. However, research in this area is impeded by challenges in integrating recruitment efforts into ongoing clinical workflows or staffing multiple study clinics with full-time research assistants, as well as by the underreporting of substance use. OBJECTIVE: The aim of the study is to evaluate pragmatic methods for facilitating study recruitment in health care settings by examining recruitment rates and participant characteristics using in-person-based versus flyer approaches. METHODS: This study compared recruitment rates at a Women's Health clinic in the Midwest under 2 different recruitment strategies: in person versus via a flyer with a QR code. We also examined the disclosure of substance use and risk screener positivity for the 2 strategies. We also obtained information about the current use of technology and willingness to use it for study participation. RESULTS: A greater percentage of patients recruited in person participated than those recruited via flyers (57/63, 91% vs 64/377, 17%). However, the final number recruited in each group was roughly equal (n=57 vs n=64). Additionally, participants recruited via flyers were more likely to screen positive for alcohol use risk on the Tolerance, Annoyed, Cut Down, Eye-Opener alcohol screen than those recruited at the clinic (24/64, 38% vs 11/57, 19%; χ21=4.9; P=.03). Participants recruited via flyers were also more likely to screen positive for drug use risk on the Wayne Indirect Drug Use Screener than those recruited at the clinic (20/64, 31% vs 9/57, 16%; χ21=4.0; P=.05). Furthermore, of the 121 pregnant women, 117 (96.7%) reported owning a smartphone, 111 (91.7%) had an SMS text message plan on their phone, and 94 (77.7%) reported being willing to receive SMS text messages or participate in a study if sent a link to their phone. CONCLUSIONS: The distribution of flyers with a QR code by medical staff appears to be an efficient and cost-effective method of recruitment that also facilitates disclosure while reducing the impact on clinic workflows. This method of recruitment can be useful for data collection at multiple locations and lead to larger samples across and between health systems. Participant recruitment via technology in perinatal health care appears to facilitate disclosure, particularly when participants can learn about the research and complete screening using their own device at a place and time convenient for them. Pregnant women in an urban Midwestern hospital had access to and were comfortable using technology.

Trends in cocaine use among United States females of reproductive age, 2005-2019.

BACKGROUND AND OBJECTIVES: The prevalence of cocaine use has increased in the United States, with an estimated 5.5 million people have used it at least once in 2019. We report trends in cocaine use for reproductive age females who participated in the National Survey on Drug Use and Health (NSDUH, 2005-2019). METHODS: Interviewers for NSDUH recruited and assessed a representative sample of the US noninstitutionalized population. The prevalence of cocaine use was estimated annually for females (15-44 years; n = 295,751). Joinpoint regression was then used to test for significant changes in trends. RESULTS: Approximately 2.4% of females (n = 8136) reported past 12-month cocaine use. Joinpoint regression revealed an initial decline in cocaine use prevalence between 2005 and 2011, followed by a robust increase (2011-2019 annual percent change = 5.2; 95% confidence interval = 2.6, 7.8%). This nonlinear trend was observed for all subgroups, except for adolescent and pregnant females for whom a decrease in cocaine use prevalence was observed. DISCUSSION AND CONCLUSIONS: Although the prevalence of cocaine use remains scarce among US females, the uptake in use after a period of initial decline is concerning, highlighting the need for continued public health awareness and action. SCIENTIFIC SIGNIFICANCE: Cocaine use among females of reproductive age is particularly concerning given the increased likelihood of transitioning to disordered use and the risk of use during pregnancy. Previous studies have not reported cocaine use estimates specific to reproductive age females or only reported co-drug use patterns, without detail of specific cocaine use trends.

Polysubstance Use in Pregnancy: Surveillance, Interventions, and Next Steps.

Substance use during pregnancy increases risk for a wide range of adverse maternal and neonatal health outcomes. Polysubstance use is common among people who use substances during pregnancy; however, the risks of combined substance exposures during pregnancy are poorly understood. In this report, we provide an overview of the activities of the Centers for Disease Control and Prevention (CDC) and partners and identified gaps related to (1) surveillance, (2) routine screening, and (3) prevention of polysubstance use during pregnancy. Efforts by CDC and other partners to reduce polysubstance use during pregnancy can improve the health of pregnant people and their infants and children.

Risk, Emotional Support, Child Abuse Potential, and Parenting During the First Year of the COVID-19 Pandemic.

The COVID-19 pandemic and associated mitigation efforts created stress that threatened parent and child well-being. Conditions that increase stress within families heighten the likelihood of child abuse, but social support can mitigate the impact. This short-term investigation considered whether cumulative risk, COVID-19 specific risk, and emotional support (one aspect of social support), were associated with child abuse potential during the pandemic. Additionally, we investigated whether emotional support moderated the association between COVID-19 specific risk and child abuse potential, and associations between child abuse potential and emotionally positive and emotionally negative parenting. Participants included 89 parents, from a metropolitan area with a large number of economically distressed families, who completed online questionnaires. COVID-19 specific risk and emotional support each explained additional variance in child abuse potential beyond cumulative risk, but emotional support did not moderate the association between COVID-19 specific risk and child abuse potential. Consistent with expectations, child abuse potential was negatively associated with emotionally positive parenting and positively associated with emotionally negative parenting practices. Results highlight the importance of addressing both risks and supports at multiple levels for parents during times of stress.

Prenatal Substance Exposure: Associations with Neurodevelopment in Middle Childhood.

OBJECTIVE: Single-substance exposure effects on neurodevelopmental outcomes, such as problem behavior and intelligence quotient (IQ), have been studied in children for decades. However, the long-term consequences of polysubstance exposure are poorly understood. STUDY DESIGN: Longitudinal neurodevelopmental data were gathered from cohorts across the United States through the Environmental Influences on Child Health Outcomes Program. Data on prenatal exposure to opioids, nicotine, marijuana, and alcohol were collected from children ages 6 to 11 years (N = 256). Problem behavior was assessed using the Child Behavior Checklist (school-age version), and verbal IQ (VIQ) and performance IQ (PIQ) were assessed using the Weschler Intelligence Scale for Children, Fifth Edition. We first identified latent profiles in the overall sample, then evaluated differences in profile membership for children with and without prenatal substance exposure. RESULTS: Latent profile analysis identified two mutually exclusive categories: average VIQ and PIQ, with typical problem behavior, and below-average VIQ with average PIQ and clinically significant problem behavior. Children with prenatal nicotine and polysubstance exposures were more likely to be classified in the below-average VIQ, elevated problem behavior profile compared with children without prenatal nicotine exposure. CONCLUSION: The presence of clinically significant behavior problems in children with average PIQ, but below-average VIQ, could represent a unique endophenotype related to prenatal nicotine exposure in the context of other prenatal substance exposures. KEY POINTS: · The neurodevelopmental consequences of prenatal polysubstance exposure are poorly understood.. · Children with prenatal polysubstance exposure exhibited reduced IQ and elevated problem behavior.. · We found significant behavior problems in children with average PIQ and below-average VIQ.. · This may represent a unique endophenotype related to prenatal nicotine exposure..

Latent Class Analysis of Prenatal Substance Exposure and Child Behavioral Outcomes.

OBJECTIVES: To predict behavioral disruptions in middle childhood, we identified latent classes of prenatal substance use. STUDY DESIGN: As part of the Environmental influences on Child Health Outcomes Program, we harmonized prenatal substance use data and child behavior outcomes from 2195 women and their 6- to 11-year-old children across 10 cohorts in the US and used latent class-adjusted regression models to predict parent-rated child behavior. RESULTS: Three latent classes fit the data: low use (90.5%; n = 1986), primarily using no substances; licit use (6.6%; n = 145), mainly using nicotine with a moderate likelihood of using alcohol and marijuana; and illicit use (2.9%; n = 64), predominantly using illicit substances along with a moderate likelihood of using licit substances. Children exposed to primarily licit substances in utero had greater levels of externalizing behavior than children exposed to low or no substances (P = .001, d = .64). Children exposed to illicit substances in utero showed small but significant elevations in internalizing behavior than children exposed to low or no substances (P < .001, d = .16). CONCLUSIONS: The differences in prenatal polysubstance use may increase risk for specific childhood problem behaviors; however, child outcomes appeared comparably adverse for both licit and illicit polysubstance exposure. We highlight the need for similar multicohort, large-scale studies to examine childhood outcomes based on prenatal substance use profiles.

Assessment of Psychosocial and Neonatal Risk Factors for Trajectories of Behavioral Dysregulation Among Young Children From 18 to 72 Months of Age.

Importance: Emotional and behavioral dysregulation during early childhood are associated with severe psychiatric, behavioral, and cognitive disorders through adulthood. Identifying the earliest antecedents of persisting emotional and behavioral dysregulation can inform risk detection practices and targeted interventions to promote adaptive developmental trajectories among at-risk children. Objective: To characterize children's emotional and behavioral regulation trajectories and examine risk factors associated with persisting dysregulation across early childhood. Design, Setting, and Participants: This cohort study examined data from 20 United States cohorts participating in Environmental influences on Child Health Outcomes, which included 3934 mother-child pairs (singleton births) from 1990 to 2019. Statistical analysis was performed from January to August 2022. Exposures: Standardized self-reports and medical data ascertained maternal, child, and environmental characteristics, including prenatal substance exposures, preterm birth, and multiple psychosocial adversities. Main Outcomes and Measures: Child Behavior Checklist caregiver reports at 18 to 72 months of age, with Dysregulation Profile (CBCL-DP = sum of anxiety/depression, attention, and aggression). Results: The sample included 3934 mother-child pairs studied at 18 to 72 months. Among the mothers, 718 (18.7%) were Hispanic, 275 (7.2%) were non-Hispanic Asian, 1220 (31.8%) were non-Hispanic Black, 1412 (36.9%) were non-Hispanic White; 3501 (89.7%) were at least 21 years of age at delivery. Among the children, 2093 (53.2%) were male, 1178 of 2143 with Psychosocial Adversity Index [PAI] data (55.0%) experienced multiple psychosocial adversities, 1148 (29.2%) were exposed prenatally to at least 1 psychoactive substance, and 3066 (80.2%) were term-born (≥37 weeks' gestation). Growth mixture modeling characterized a 3-class CBCL-DP trajectory model: high and increasing (2.3% [n = 89]), borderline and stable (12.3% [n = 479]), and low and decreasing (85.6% [n = 3366]). Children in high and borderline dysregulation trajectories had more prevalent maternal psychological challenges (29.4%-50.0%). Multinomial logistic regression analyses indicated that children born preterm were more likely to be in the high dysregulation trajectory (adjusted odds ratio [aOR], 2.76; 95% CI, 2.08-3.65; P < .001) or borderline dysregulation trajectory (aOR, 1.36; 95% CI, 1.06-1.76; P = .02) vs low dysregulation trajectory. High vs low dysregulation trajectories were less prevalent for girls compared with boys (aOR, 0.60; 95% CI, 0.36-1.01; P = .05) and children with lower PAI (aOR, 1.94; 95% CI, 1.51-2.49; P < .001). Combined increases in PAI and prenatal substance exposures were associated with increased odds of high vs borderline dysregulation (aOR, 1.28; 95% CI, 1.08-1.53; P = .006) and decreased odds of low vs high dysregulation (aOR, 0.77; 95% CI, 0.64-0.92; P = .005). Conclusions and Relevance: In this cohort study of behavioral dysregulation trajectories, associations were found with early risk factors. These findings may inform screening and diagnostic practices for addressing observed precursors of persisting dysregulation as they emerge among at-risk children.

Effectiveness of brief alcohol interventions for pregnant women: a systematic literature review and meta-analysis.

BACKGROUND: Prenatal alcohol exposure (PAE) can result in a range of adverse neonatal outcomes, including Fetal Alcohol Spectrum Disorder (FASD). This systematic review and meta-analysis sought to investigate the effectiveness of brief interventions (BIs) in eliminating or reducing 1) alcohol consumption during pregnancy; and 2) PAE-related adverse neonatal outcomes; and 3) cost-effectiveness of BIs. METHOD: We conducted a systematic literature search for original controlled studies (randomized control trials (RCTs); quasi-experimental) in any setting, published from 1987 to 2021. The comparison group was no/minimal intervention, where a measure of alcohol consumption was reported. Studies were critically appraised using the Centre for Evidence-based Medicine Oxford critical appraisal tool for RCTs (1). The certainty in the evidence for each outcome was assessed using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) (2). Meta-analysis of continuous and binary estimates of effect-size for similar outcome measures for BIs versus control groups were pooled and reported as mean difference (MD) Hedges' g and odds ratios (ORs), respectively. RESULTS: In total, 26 studies, all from high income countries, met inclusion criteria. Alcohol abstinence outcome available in 12 studies (n = 2620) found modest effects in favor of BIs conditions by increasing the odds of abstinence by 56% (OR = 1.56, 95% confidence interval (CI) = 1.15-2.13, I2 = 46.75%; p = 0.04). BIs effects for reduction in mean drinks/week (Cohen's d = - 0.21, 95%CI = - 0.78 to 0.36; p = 0.08) and AUDIT scores (g = 0.10, 95%CI = - 0.06 to 0.26; p = 0.17) were not statistically significant. Among seven studies (n = 740) reporting neonatal outcomes, BI receipt was associated with a modest and significant reduction in preterm birth (OR = 0.67, 95% CI = 0.46-0.98, I2 = 0.00%; p = 0.58). No statistically significant differences were observed for mean birthweight or lower likelihood of low birth weight (LBW). Certainty in the evidence was rated as 'low'. No eligible studies were found on cost-effectiveness of BIs. CONCLUSION: BIs are moderately effective in increasing abstinence during pregnancy and preventing preterm birth. More studies on the effectiveness of BIs are needed from low- and middle-income countries, as well as with younger mothers and with a broader range of ethnic groups.

Characteristics of Individuals in the United States Who Used Opioids During Pregnancy.

Background: Opioid use has disproportionally impacted pregnant people and their fetuses. Previous studies describing opioid use among pregnant people are limited by geographic location, type of medical coverage, and small sample size. We described characteristics of a large, diverse group of pregnant people who were enrolled in the Environmental Influences on Child Health Outcomes (ECHO) Program, and determined which characteristics were associated with opioid use during pregnancy. Materials and Methods: Cross-sectional data obtained from 21,905 pregnancies of individuals across the United States enrolled in the ECHO between 1990 and 2021 were analyzed. Medical records, laboratory testing, and self-report were used to determine opioid-exposed pregnancies. Multiple imputation methods using fully conditional specification with a discriminant function accounted for missing characteristics data. Results: Opioid use was present in 2.8% (n = 591) of pregnancies. The majority of people who used opioids in pregnancy were non-Hispanic White (67%) and had at least some college education (69%). Those who used opioids reported high rates of alcohol use (32%) and tobacco use (39%) during the pregnancy; although data were incomplete, only 5% reported heroin use and 86% of opioid use originated from a prescription. After adjustment, non-Hispanic White race, pregnancy during the years 2010-2012, higher parity, tobacco use, and use of illegal drugs during pregnancy were each significantly associated with opioid use during pregnancy. In addition, maternal depression was associated with increased odds of opioid use during pregnancy by more than two-fold (adjusted odds ratio 2.42, 95% confidence interval: 1.95-3.01). Conclusions: In this large study of pregnancies from across the United States, we found several factors that were associated with opioid use among pregnant people. Further studies examining screening for depression and polysubstance use may be useful for targeted interventions to prevent detrimental opioid use during pregnancy, while further elucidation of the reasons for use of prescription opioids during pregnancy should be further explored.

Project BETTER: Preliminary Feasibility and Acceptability of a Technology-Delivered Educational Program for Pregnant and Postpartum People with Opioid Use Disorder.

Background: Postpartum people with opioid use disorder (OUD) report feeling underprepared for the pregnancy to postpartum transition. We developed a novel, technology-delivered educational intervention for pregnant and parenting people with OUD to address this gap. This study provides a theoretically grounded assessment of the feasibility and acceptability of a new technology-delivered educational intervention (Project BETTER) for pregnant and parenting people receiving medication for OUD (MOUD). Materials and Methods: Pregnant and postpartum people receiving MOUD were recruited from a perinatal addiction clinic research registry to pilot test the technology-delivered intervention. Participants completed one of three modules (Postpartum Transition, Neonatal Opioid Withdrawal Syndrome, or Child Welfare Interactions) and a survey assessing acceptability based on the theoretical framework of acceptability (TFA). We measured feasibility using process, resource, management, and scientific assessments. Demographics were self-reported. Clinical characteristics were abstracted from the medical record. Results: Feasibility was promising, with 17 of 28 participants approached (61%) agreeing to participate; 70% of these participants (N = 12; 58% White and 23% Black, all with public insurance) completed an intervention module and the study assessments, and all reported understanding how the modules worked. Acceptability was strong, with median ratings of 4 or 5 on a 5-point scale for all positively scored TFA domains. Compared to learning from a provider, participants also reported feeling more comfortable and less stigmatized learning from the intervention. Conclusion: Our theoretically grounded assessment suggests high feasibility and acceptability for Project BETTER, and provides justification for further evaluation in a clinical trial setting. Technology-delivered educational interventions may help reduce stigma and enhance prenatal education.

Online randomised factorial trial of electronic Screening and Brief Intervention for alcohol use in pregnancy: a study protocol.

INTRODUCTION: Approximately 1 in 7 pregnant women in the USA report past-month alcohol use. Strong evidence connects prenatal alcohol exposure with a range of adverse perinatal outcomes, including the spectrum of conditions known as fetal alcohol spectrum disorders. Screening and Brief Intervention (SBI) has been recommended for pregnant women but has proven difficult to implement. This study will test the efficacy of single-session technology-delivered SBI (electronic SBI) for alcohol use in pregnancy, while simultaneously evaluating the possible additional benefit of tailored text messages and/or booster sessions in a 3×2 factorial trial. METHOD AND ANALYSIS: This full factorial trial will use online advertising and clinic-based flyers to recruit pregnant women meeting criteria for unhealthy alcohol use, and randomly assign them to one of six conditions crossing three levels of brief intervention (none, single 120-minute session and single session plus two 5-minute boosters) with two levels of tailored text messaging (none vs twice weekly messages). The primary analysis will test for dose-response effects of the brief intervention on alcohol abstinence, defined as no self-report of alcohol use in the 90 days prior to 34 weeks' gestation, and negative results for ethyl glucuronide analysis of fingernail samples. Secondary analyses will examine main and interaction effects of tailored text messaging as well as intervention effects on birth outcomes. ETHICS AND DISSEMINATION: Ethical approval was provided by the Michigan State University Biomedical and Health Institutional Review Board (STUDY00005298). Results will be presented at conferences and community forums, in addition to being published in a peer-reviewed journal. Intervention content demonstrating sufficient efficacy and safety will be made publicly available. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov Registry (NCT04332172).

Association of Prepregnancy Substance Use and Substance Use Disorders with Pregnancy Timing and Intention.

Background: Limited research exists on the association between substance use disorders (SUDs) and dimensions of pregnancy intention. This study sought to examine the independent relationships between prepregnancy substance use and SUDs with pregnancy timing and intentions. Materials and Methods: Secondary analysis of data from three prenatal care sites in Connecticut, Massachusetts, and Michigan, 2016-2017. Associations were estimated using modified Poisson regression with robust error variance to calculate adjusted prevalence ratios (aPRs) and 95% confidence intervals (CIs), controlling for relevant covariates. Results: The total sample size was 1115 women. Respectively, 61.1% and 15.5% of women used any substance in the 30 days prepregnancy or had any SUD in the past 12 months. After adjustment, any prepregnancy substance use was associated with a reduced likelihood of a well-timed (aPR 0.85; 95% CI: 0.77-0.93) and intended (aPR 0.80; 95% CI: 0.72-0.89) pregnancy; similarly, any SUD was associated with a reduced likelihood of a well-timed (aPR 0.66; 95% CI: 0.55-0.80) and intended (aPR 0.79; 95% CI: 0.67-0.93) pregnancy. Conclusions: Women with prepregnancy substance use or SUD have decreased prevalence of well-timed and intended pregnancies. Greater efforts are needed to address substance use and family planning in routine, well-woman, prenatal, and postpartum care.

Barriers and Considerations in the Design and Implementation of Digital Behavioral Interventions: Qualitative Analysis.

BACKGROUND: Digital behavioral interventions have become increasingly popular for their ability to support patient diagnosis and treatment, chronic disease self-management, behavior change, and adherence to recommended care. However, digital intervention development is impeded by challenges such as limited technical skills, limited access to developers, and cost. The purpose of this study is to elicit in-depth qualitative feedback from intervention developers who have interest in digital behavioral interventions but lack programming skills regarding the barriers they experience and key considerations in the design and implementation of digital interventions. OBJECTIVE: This study aims to understand barriers in the design and implementation of digital behavioral interventions, as well as to identify key considerations for researchers who are developing these interventions. METHODS: We conducted semistructured qualitative interviews with 18 researchers who had experience either designing (but not coding) digital behavioral interventions or running research studies with them. Participants were a convenience sample of users of the Computerized Intervention Authoring System platform, an existing no-code development platform for building digital intervention content, and were recruited through either direct email solicitation or snowball sampling. All interviews were conducted and recorded over videoconference between February and April 2020. Recordings from interviews were transcribed and thematically analyzed by multiple coders. RESULTS: Interviews were completed with 18 participants and lasted between 24 and 65 (mean 46.9, SD 11.3) minutes. Interviewees were predominantly female (17/18, 94%) and represented different job roles, ranging from researcher to project/study staff. Three key barriers in the development of digital behavior interventions were identified during interviews: lack of cross-disciplinary understanding; variability in recipients' technology access, infrastructure, and literacy; and the idea that evidence-based in-person interactions do not translate directly to digital interactions. Interviewees identified several key considerations that interventionists learned to prioritize, which have the potential to overcome these barriers and lead to successful interventions. CONCLUSIONS: Barriers in the development of digital behavioral interventions are often created by a lack of cross-disciplinary understanding, which can lead to difficulties conceptualizing interventions, unrealistic expectations in terms of cost, and confusion about the development process. Moreover, concerns about research study participant characteristics and access to technology, as well as the translation of in-person interventions to digital, are apparent. Appropriate training in how to work with software development teams may help future digital behavior intervention creators overcome these barriers and may lead to new, exciting innovations in this space.

The Perceived Benefits of Digital Interventions for Behavioral Health: Qualitative Interview Study.

BACKGROUND: Digital interventions have gained momentum in terms of behavioral health. However, owing to lacking standard approaches or tools for creating digital behavioral interventions, clinical researchers follow widely varying conceptions of how best to go about digital intervention development. Researchers also face significant cost-, time-, and expertise-related challenges in digital intervention development. Improving the availability of tools and guidance for researchers will require a thorough understanding of the motivations and needs of researchers seeking to create digital interventions. OBJECTIVE: This study aims to understand the perceptions of behavioral researchers toward digital interventions, and inform the use of these interventions, by documenting the reasons why researchers are increasingly focusing their efforts on digital interventions and their perspectives on the perceived benefits that digital approaches can provide for researchers and intervention recipients. METHODS: We conducted semistructured qualitative interviews with 18 researchers who had experience designing digital behavioral interventions or running studies with them. A convenience sample of interviewees was recruited from among users of the Computerized Intervention Authoring System platform, a web-based tool that facilitates the process of creating and deploying digital interventions in behavioral research. Interviews were conducted over teleconference between February and April 2020. Recordings from the interviews were transcribed and thematically analyzed by multiple coders. RESULTS: Interviews were completed with 18 individuals and lasted between 24 and 65 (mean 46.9, SD 11.3) minutes. Interviewees were predominantly female (17/18, 94%) and represented different job roles, ranging from researcher to project or study staff. Four major themes came out of the interviews concerning the benefits of digital interventions for behavioral health: convenience and flexibility for interventionists and recipients, support for implementing evidence-based interventions with fidelity, scaling and improving access to interventions, and getting a foot in the door despite stigma and disenfranchisement. CONCLUSIONS: Interviewees described a number of important potential benefits of digital interventions, particularly with respect to scientific rigor, scalability, and overcoming barriers to reaching more people. There are complex considerations with regard to translating behavior change strategies into digital forms of delivery, and interventionists make individual, sometimes unexpected, choices with minimal evidence of their relative effectiveness. Future research should investigate how behavioral researchers can be supported in making these choices toward usability, ease of access, and approachability of digital interventions. Our study underscores the need for authoring platforms that can facilitate the process of creating and deploying digital interventions to reach their full potential for interventionists and recipients alike.

Development and implementation of tablet-based screening for interpersonal violence in primary care settings.

Technology Enhanced Screening and Supportive Assistance (TESSA) is program that includes a patient-facing mobile web app designed to identify primary care patients with a history of interpersonal violence (IPV). The implementation study included 1495 participants screened. Approximately one in four reported experiences with intimate partner violence (29%) or sexual assault (24%). Among those offered health advocacy services based on their victimization experiences, 31% indicated they wished to accept the assistance. We conclude that a tablet-based self-screening tool in primary care clinics is a viable way to identify and offer services to people who have experienced interpersonal violence.

The short-term impact on economic outcomes of SBIRT interventions implemented in reproductive health care settings.

OBJECTIVE: To estimate the impact of screening, brief intervention, and referral to treatment (SBIRT) administered in reproductive health care settings on a variety of economic outcomes, including general health care utilization, criminal activity, and motor vehicle crashes. Whether and by how much SBIRT affects economic outcomes are important unanswered questions related to the economic impact of this technique. METHODS: We collected data as part of a randomized clinical trial that examined whether SBIRT delivered electronically (e-SBIRT) or by a clinician (SBIRT) is superior to enhanced usual care (EUC) for substance misuse. Participants were a convenience sample of 439 women from two reproductive health care centers who used cigarettes, risky amounts of alcohol, illicit drugs, or misused prescription medication. For each participant, we measured economic outcomes by self-report 6 months pre- and post-intervention. We used difference-in-differences regression models to estimate the impact of e-SBIRT and SBIRT, compared to EUC, on changes in each of the economic outcomes from pre- to post-intervention. RESULTS: None of the difference-in-differences estimates weas statistically significant after adjusting for multiple comparisons. CONCLUSION: In a population of women receiving routine care in reproductive health care settings, we did not find a significant effect of either e-SBIRT or SBIRT, compared to EUC, on general health care utilization, criminal activity, or motor vehicle outcomes. However, individual trials are typically underpowered to detect effects that are small but important from a public health perspective. These results may be crucial for future systematic reviews and meta-analyses to determine the economic impact of SBIRT programs from a variety of perspectives.

Improving Diabetes Management in Emerging Adulthood: An Intervention Development Study Using the Multiphase Optimization Strategy.

BACKGROUND: Poor diabetes self-management in emerging adulthood (age 18-25 years) is associated with poorer diabetes health and diabetes complications. Emerging adults' focus on individuation and independence underlies their poor diabetes outcomes, offering a lever for behavior change. Self-determination theory (SDT) suggests that interventions leveraging emerging adults' innate developmental need for autonomy may offer a route to improving diabetes outcomes by increasing feelings of responsibility for and control over diabetes self-management activities. OBJECTIVE: This research project will use the multiphase optimization strategy to test the efficacy of three autonomy-supportive intervention components to elicit a clinically significant improvement in metabolic control, assessed by a 0.5% improvement in hemoglobin A1c (HbA1c), among older adolescents and emerging adults (16-25 years) with poorly controlled type 1 diabetes (T1D; HbA1c≥9.0%). METHODS: A question prompt list (QPL) is a tool to empower patients to assume a more active role during medical visits by asking questions and stating concerns. The motivation enhancement system (MES) is a brief counseling intervention that uses motivational interviewing communication strategies to build intrinsic motivation and self-efficacy for self-management. Text message reminders to complete diabetes care tasks may increase self-efficacy for diabetes self-management. After refining these intervention components for emerging adults, we will conduct a component selection experiment using an eight-arm full factorial design: 2 (QPL yes or no)×2 (MES yes or no)×2 (Text yes or no). Participants will complete 3 study visits: baseline, treatment end at 2 months, and a follow-up at 6 months. The primary outcome is metabolic control, which will be measured via HbA1c. Secondary outcomes include diabetes management and diabetes clinic attendance. SDT constructs of intrinsic motivation, self-efficacy, and the quality of the patient-provider relationship (ie, relatedness) are hypothesized mediators. Depression symptoms and emerging adults' gender are hypothesized moderators. We will use the mixed-effects linear model for the analysis of variance of a factorial design to analyze continuous longitudinal experimental data; the generalized linear model will be used with categorical outcomes (eg, treatment attendance). The experiment was powered to detect the main effects of the intervention on the primary outcome. RESULTS: A total of 20 participants have enrolled and completed a qualitative interview after reviewing one or more intervention components. Analysis of interview data are underway, with a report of these results anticipated in the fall of 2020. The clinical trial will be launched in the fall 2020, with participants enrolled through May 2023 and data collection continuing through November 2023. CONCLUSIONS: At the end of this experiment, we will have empirical evidence to support a large-scale, multisite effectiveness trial of an intervention package that has been optimized for older adolescents and emerging adults with poorly controlled T1D. TRIAL REGISTRATION: ClinicalTrials.gov NCT04066959; https://clinicaltrials.gov/ct2/show/NCT04066959. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/20191.

Participant Satisfaction with Computer-Delivered Intervention Components and Its Relation to Alcohol Outcomes.

BACKGROUND: Few computer-delivered brief intervention (CDBI) studies have evaluated participant satisfaction with individual elements of the intervention, or whether participant satisfaction impacts intervention outcomes. Purpose: This factorial trial examined whether subjective reactions to a CDBI for heavy drinking (1) varied depending on the presence versus absence of an animated narrator, a spoken voice, empathic reflections, and motivational interviewing (MI) strategies and (2) were associated with drinking outcomes at 3-month follow-up. Methods: Participants were 352 heavy drinking university students. All participants were randomly assigned to one of 16 versions of a CDBI. After finishing the CDBI, participants completed measures of intervention likability and perceived empathy. Alcohol use outcomes were assessed at 3-month follow-up. Results: CDBI characteristics had minimal effects on participant ratings of likeability and perceived empathy. However, higher likeability ratings were associated with decreases in alcohol use outcomes over the 3-month assessment period. Conclusions: Results indicate that subjective reactions to CDBIs can have important effects on alcohol use outcomes.