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To describe antiretroviral therapy (ART) adherence and associated factors for a large HIV-infected pediatric cohort followed by sites of the East Africa International Epidemiologic Databases to Evaluate AIDS (IeDEA) consortium. This study utilized prospectively collected clinical data from HIV-infected children less than 13 years of age who initiated ART within 4 clinical care programs (with 26 clinical sites) in Kenya, Uganda, and Tanzania and were followed for up to 6 years. Programs used one of 3 adherence measures, including 7-day quantitative recall, 7-day categorical recall, and clinician pill assessments. We fit a hierarchical, three-level, logistic-regression model to examine adherence, with observations nested within patient, and patients within the 26 sites providing pediatric HIV data to this analysis. In East Africa, 3,304 children, 52.0% male, were enrolled in care and were subsequently observed for a median of 92 weeks (inter-quartile range [IQR] 50.3-145.0 weeks). Median age at ART initiation was 5.5 years ([IQR] 3.0-8.5 years). \"Good\" adherence, as reported by each clinic's measures, was extremely high, remaining on average above 90% throughout all years of follow-up. Longer time on ART was associated with higher adherence (adjusted Odds Ratio-aOR-per log-transformed week on ART: 1.095, 95% Confidence Interval-CI-[1.052-1.150].) Patients enrolled in higher-volume programs exhibited higher rates of clinician-assessed adherence (aOR per log-500 patients: 1.174, 95% CI [1.108-1.245]). Significant site-level variability in reported adherence was observed (0.28), with even higher variability among patients (0.71). In a sub-analysis, being an orphan at the start of ART was strongly associated with lower ART adherence rates (aOR: 0.919, 95% CI [0.864-0.976]). Self-reported adherence remained high over a median of 1.8 years in HIV care, but varied according to patient-level and site-level factors. Consistent adherence monitoring with validated measures and attention to vulnerable groups is recommended.

BACKGROUND:Many approaches are available to researchers who wish to measure individuals’ exposure to environmental conditions. Different approaches may yield different estimates of associations with health outcomes. Taking adolescents’ exposure to alcohol outlets as an example, we aimed to (1) compare exposure measures and (2) assess whether exposure measures were differentially associated with alcohol consumption. METHODS:We tracked 231 adolescents 14–16 years of age from the San Francisco Bay Area for 4 weeks in 2015/2016 using global positioning systems (GPS). Participants were texted ecologic momentary assessment surveys six times per week, including assessment of alcohol consumption. We used GPS data to calculate exposure to alcohol outlets using three approach typesresidence-based (e.g., within the home census tract), activity location–based (e.g., within buffer distances of frequently attended places), and activity path–based (e.g., average outlets per hour within buffer distances of GPS route lines). Spearman correlations compared exposure measures, and separate Tobit models assessed associations with the proportion of ecologic momentary assessment responses positive for alcohol consumption. RESULTS:Measures were mostly strongly correlated within approach types (ρ ≥ 0.7), but weakly (ρ < 0.3) to moderately (0.3 ≤ ρ < 0.7) correlated between approach types. Associations with alcohol consumption were mostly inconsistent within and between approach types. Some of the residence-based measures (e.g., census tractβ = 8.3, 95% CI = 2.8, 13.8), none of the activity location–based approaches, and most of the activity path–based approaches (e.g., outlet–hours per hour, 100 m bufferβ = 8.3, 95% CI = 3.3, 13.3) were associated with alcohol consumption. CONCLUSIONS:Methodologic decisions regarding measurement of exposure to environmental conditions may affect study results.

Introduction Rates of substance use are high among youth involved in the legal system (YILS); however, YILS are less likely to initiate and complete substance use treatment compared to their non legally-involved peers. There are multiple steps involved in connecting youth to needed services, from screening and referral within the juvenile legal system to treatment initiation and completion within the behavioral health system. Understanding potential gaps in the care continuum requires data and decision-making from these two systems. The current study reports on the development of data dashboards that integrate these systems’ data to help guide decisions to improve substance use screening and treatment for YILS, focusing on end-user feedback regarding dashboard utility. Methods Three focus groups were conducted with n  = 21 end-users from juvenile legal systems and community mental health centers in front-line positions and in decision-making roles across 8 counties to gather feedback on an early version of the data dashboards; dashboards were then modified based on feedback. Results Qualitative analysis revealed topics related to (1) important aesthetic features of the dashboard, (2) user features such as filtering options and benchmarking to compare local data with other counties, and (3) the centrality of consistent terminology for data dashboard elements. Results also revealed the use of dashboards to facilitate collaboration between legal and behavioral health systems. Conclusions Feedback from end-users highlight important design elements and dashboard utility as well as the challenges of working with cross-system and cross-jurisdiction data. Highlights End-user feedback on data dashboards improved its usability and acceptability. Cross-system data harmonization was a primary challenge to dashboard development. Dashboards with multi-system data facilitated cross-system collaboration and decision-making.

Substance use disorders among reproductive aged women are a major public health issue. There is little work investigating the validity and reliability of electronic health record (EHR) data for measuring substance use in this population. This study examined the concordance of self-reported substance use with clinical diagnoses of substance use, substance abuse and substance use disorder in EHR data. Reproductive age women enrolled in the Community-Based Addiction Reduction (CARE) program were interviewed by peer recovery coaches (PRC) at enrollment. That survey data was linked with EHR data (n = 102). Concordance between self-reported substance use and clinical diagnoses in the EHR was examined for opioids, cannabis/THC, and cocaine. Cohen’s kappa, sensitivity, and specificity were calculated. The survey captured a higher number of women who use substances compared to the EHR. The concordance of self-report with EHR diagnosis varied by substance and was higher for opioids (17.6%) relative to cannabis/THC (8.8%), and cocaine (3.0%). Additionally, opioids had higher sensitivity (46.2%) and lower specificity (76.2%) relative to cannabis/THC and cocaine. Survey data collected by PRCs captured more substance use than EHRs, suggesting that EHRs underestimate substance use prevalence. The higher sensitivity and lower specificity of opioids was due to a larger number of women who had a diagnosis of opioid use in the EHR who did not self-report opioid use in the self-report survey relative to cannabis/THC and cocaine. Opioid self-report and diagnosis may be influenced by research setting, question wording, or receipt of medication for opioid use disorder.

Various forms of community disorder are associated with health outcomes but little is known about how dynamic context where an adolescent spends time relates to her health-related behaviors. Assess whether exposure to contexts associated with crime (as a marker of community disorder) correlates with self-reported health-related behaviors among adolescent girls. Girls (N = 52), aged 14-17, were recruited from a single geographic urban area and monitored for 1 week using a GPS-enabled cell phone. Adolescents completed an audio computer-assisted self-administered interview survey on substance use (cigarette, alcohol, or marijuana use) and sexual intercourse in the last 30 days. In addition to recorded home and school address, phones transmitted location data every 5 minutes (path points). Using ArcGIS, we defined community disorder as aggregated point-level Unified Crime Report data within a 200-meter Euclidian buffer from home, school and each path point. Using Stata, we analyzed how exposures to areas of higher crime prevalence differed among girls who reported each behavior or not. Participants lived and spent time in areas with variable crime prevalence within 200 meters of their home, school and path points. Significant differences in exposure occurred based on home location among girls who reported any substance use or not (p 0.04) and sexual intercourse or not (p 0.01). Differences in exposure by school and path points were only significant among girls reporting any substance use or not (p 0.03 and 0.02, respectively). Exposure also varied by school/non-school day as well as time of day. Adolescent travel patterns are not random. Furthermore, the crime context where an adolescent spends time relates to her health-related behavior. These data may guide policy relating to crime control and inform time- and space-specific interventions to improve adolescent health.

Trust in biomedical research is essential, multidimensional, and shaped by individual experiences, culture, and communication. Participants' trust relies on researchers' commitment to ethical practices. As public trust in science declines due to misinformation and disinformation campaigns, biomedical researchers (BmRs) must ensure trust and cultivate trustworthiness. This study explores BmR's perspectives on trust and trustworthiness. We employed a qualitative, phenomenological approach to explore the experiences of BmRs. Through purposive sampling via the Indiana Clinical and Translational Sciences Institute, we invited BmRs to participate in semi-structured interviews. We employed rapid qualitative analysis (RQA) to identify key themes from interviews with BmRs. This action-oriented approach enables a research team to efficiently summarize experiences and perspectives, using structured templates and matrixes for systematic analysis and interpretation. Fourteen BmRs were interviewed. Volunteer demographics were collected for race/ethnicity, gender, faculty rank, and investigator experience level. The following domains were identified: individual trust and trustworthiness, institutional trustworthiness, and trust and equity as a crucial part of structural and social drivers of health. We recognize that BmRs are dedicated to health equity and addressing disparities. However, in addition to committing to \"best practices,\" BmRs should prioritize actions that foster genuine trust from the communities they serve. More development opportunities are needed for reflection of what it means to be trusted by research volunteers and communities. Furthermore, intentions alone aren't sufficient; earned trust and trustworthiness are vital.

BackgroundIndividuals with mental illness and co-occurring substance use disorders often rapidly cycle through the justice system with multiple arrests. Therefore, is it imperative to examine the prevalence of mental health and substance use diagnoses among arrestees and repeat arrestees to identify opportunities for intervention.MethodsWe linked police arrest and clinical care data at the individual level to conduct a retrospective cohort study of all individuals arrested in 2016 in Indianapolis, Indiana. We classified arrestees into three levels: 1 arrest, 2 arrests, or 3 or more arrests. We included data on clinical diagnoses between January 1, 2014 and December 31, 2015 and classified mental health diagnoses and substance use disorder (SUD) based on DSM categories using ICD9/10 diagnoses codes.ResultsOf those arrested in 2016, 18,236 (79.5%) were arrested once, 3167 (13.8%) were arrested twice, and 1536 (6.7%) were arrested three or more times. In the 2 years before the arrest, nearly one-third (31.3%) of arrestees had a mental health diagnosis, and over a quarter (27.7%) of arrestees had an SUD diagnosis. Most of those with a mental health or SUD diagnosis had both (22.5% of all arrestees). Arrestees with multiple mental health (OR 2.68, 95% CI 2.23, 3.23), SUD diagnoses (OR 1.59, 95% CI 1.38, 1,82), or co-occurring conditions (1.72, 95% CI 1.48, 2.01) in the preceding 2 years had higher odds of repeat arrest.ConclusionsOur findings show that linked clinical and criminal justice data systems identify individuals at risk of repeat arrest and inform opportunities for interventions aimed at low-level offenders with behavioral health needs.

BackgroundFor youth involved in the juvenile justice (JJ) system, caregiver involvement and engagement in the system is crucial for youth development and outcomes of JJ cases; however, there are challenges to establishing positive/productive partnerships between caregivers and JJ representatives. The current project examines perspectives of caregivers and JJ personnel regarding facilitators and barriers to establishing JJ-caregiver partnerships, as well as their perceptions of the use of a caregiver navigator program to support caregivers of system-involved youth. Results are used to inform development of a caregiver navigator program to support caregivers and help them navigate the JJ system.ResultsSemi-structured interviews were conducted with caregivers of youth involved in JJ (n = 15, 53% White, 93% female), JJ personnel (n = 7, 100% White, 50% female), and JJ family advisory board members (n = 5, 100% Black, 100% female). Caregivers reported varying experiences across intake/arrest, court, and probation processes. Positive experiences were characterized by effective communication and feeling supported by JJ. Negative experiences related to feeling blamed and punished for their child’s system involvement and feeling unsupported. JJ interviews corroborated caregiver sentiments and also illustrated facilitators and barriers to JJ-caregiver partnerships. Both JJ personnel and caregivers endorsed potential benefits of a peer-based caregiver navigator program to provide social, informational, and emotional support.ConclusionContinued work is needed to improve JJ-caregiver partnerships and use of a peer-based navigator program has the potential to address barriers to caregiver engagement in the JJ system.

To develop robust prediction models for infant obesity risk, we need data spanning multiple levels of influence, including child clinical health outcomes (eg, height and weight), information about maternal pregnancy history, detailed sociodemographic information of parents and community-level factors. Few data sources contain all of this information. This manuscript describes the creation of the Obesity Prevention in Early Life (OPEL) database, a longitudinal, population-based database that links clinical data with birth certificates and geocoded area-level indicators for 19 437 children born in Marion County, Indiana between 2004 and 2019. This brief describes the methodology of linking administrative data, the establishment of the OPEL database, and the clinical and public health implications facilitated by these data. The OPEL database provides a strong basis for further longitudinal child health outcomes studies and supports the continued development of intergenerational linked clinical-public health databases.

Effective stakeholder engagement increases research relevance and utility. Though published principles of community-based participatory research and patient-centered outcomes research offer guidance, few resources offer effective techniques to engage stakeholders and translate their engagement into improvements in research process and outcomes. The Indiana Clinical and Translational Sciences Institute (Indiana CTSI) is home to Research Jam (RJ), an interdisciplinary team of researchers, project management professionals, and design experts, that employs human-centered design (HCD) to engage stakeholders in the research process. Establishing HCD services at the Indiana CTSI has allowed for accessible and innovative stakeholder-engaged research. RJ offers services for stakeholder-informed study design, measurement, implementation, and dissemination. RJ’s services are in demand to address research barriers pertaining to a diverse array of health topics and stakeholder groups. As a result, the RJ team has grown significantly with both institutional and extramural support. Researchers involved in RJ projects report that working with RJ helped them learn how to better engage with stakeholders in research and changed the way they approach working with stakeholders. RJ can serve as a potential model for effectively engaging stakeholders through HCD to improve translational research.