Rediscovering reliable components analysis: An application to executive function skills in early childhood.

Executive function (EF) assessments often involve the administration of multiple tasks. Although factor analytic methods are routinely used to summarize performance across multiple tasks, they may not be optimal for this purpose. We introduce reliable component analysis (RCA) as a strategy for summarizing EF task performance and demonstrate how it compares to traditional methods. Participants included 259 children (M = 4.5, SD = 0.6 years old; 55% female; 41% White, 35% Black, 14% Hispanic, 1% Asian, 1% American Indian, and 8% of more than one race) from the Kids Activity and Learning Study. Data collection occurred in center-based preschools and involved direct child assessments of EF, motor, and math skills. Principal components analysis (PCA), principal axis factor analysis (FA), and RCA methods were used to summarize children's performance across a battery of six EF tasks. Whereas PCA and FA indicated that a single composite or factor provided the best representation of EF task data, RCA indicated that three composites were justifiable. RCA composites were moderately to strongly correlated with PCA and FA scores (rs = .39-.79). Regression models indicated that all three approaches for combining EF task scores explained the same proportion of variance in motor and math skills outcomes, though the contributions of individual composite and factor scores varied. Results are discussed with respect to how RCA differs from more commonly used tools for data reduction. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The Setting-Intervention Fit of Nine Evidence-Based Interventions for Substance Use Disorders Within HIV Service Organizations Across the United States: Results of a National Stakeholder-Engaged Real-Time Delphi Study.

BACKGROUND: Given substance use disorders (SUDs) among people with HIV are highly prevalent, integrating SUD services within HIV service settings is needed to help end the HIV epidemic. In this study, we assessed the setting-intervention fit (SIF) of 9 evidence-based SUD interventions: acamprosate, disulfiram, oral naltrexone, injectable naltrexone, oral buprenorphine, injectable buprenorphine, contingency management, motivational interviewing, and cognitive behavioral therapy (CBT). SETTING: Clinical and nonclinical HIV service organizations (HSOs) in the United States. METHODS: In May 2020, a stakeholder-engaged real-time Delphi was completed with 202 HSOs. HSO respondents rated the extent to which each SUD intervention was fundable, implementable, retainable, sustainable, scalable, and timely for their HSO, and these 6 items were summed into an SIF score (possible range of 0-18). RESULTS: Motivational interviewing had the highest average SIF score (11.42), with SIF scores above the midpoint (9.5) for clinical (11.51) and nonclinical HSOs (11.36). For nonclinical HSOs, none of the other interventions were above the midpoint. For clinical HSOs, the average SIF scores were above the midpoint for CBT (10.97) and oral buprenorphine (9.51). Multivariate regression analyses, which controlled for characteristics of the HSO respondent, revealed geographic region of the United States and whether the HSO currently offered any substance use services as 2 of the best predictors of SIF scores. CONCLUSIONS: Notwithstanding the need to improve the SIF for the other evidence-based SUD interventions, motivational interviewing, CBT, and oral buprenorphine are currently the evidence-based SUD interventions with greatest perceived fit for integration within HSOs in the United States.

A Longitudinal Mixed-Methods Examination of Positive Health Check: Implementation Results From a Type 1 Effectiveness-Implementation Hybrid Trial.

BACKGROUND: Positive Health Check is an evidence-based video doctor intervention developed for improving the medication adherence, retention in care, and viral load suppression of people with HIV receiving clinical care. SETTING: Four HIV primary care clinics within the United States. METHODS: As part of a type 1 hybrid trial, a mixed-methods approach was used to longitudinally assess the following 3 key implementation constructs over a 23-month period: innovation-values fit (ie, the extent to which staff perceive innovation use will foster the fulfillment of their values), organizational readiness for change (ie, the extent to which organizational members are psychologically and behaviorally prepared to implement organizational change), and implementation climate (ie, the extent to which implementation is expected, supported, and rewarded). Quantitative mixed-effects regression analyses were conducted to assess changes over time in these constructs. Qualitative analyses were integrated to help provide validation and understanding. RESULTS: Innovation-values fit and organizational readiness for change were found to be high and relatively stable. However, significant curvilinear change over time was found for implementation climate. Based on the qualitative data, implementation climate declined toward the end of implementation because of decreased engagement from clinic champions and differences in priorities between research and clinic staff. CONCLUSIONS: The Positive Health Check intervention was found to fit within HIV primary care service settings, but there were some logistical challenges that needed to be addressed. Additionally, even within the context of an effectiveness trial, significant and nonlinear change in implementation climate should be expected over time.

The implementation & sustainment facilitation (ISF) strategy: Cost and cost-effectiveness results from a 39-site cluster randomized trial integrating substance use services in community-based HIV service organizations.

Background: As part of the Substance Abuse Treatment to HIV Care Project, the Implementation & Sustainment Facilitation (ISF) strategy was found to be an effective adjunct to the Addiction Technology Transfer Center (ATTC) strategy for integrating a motivational interviewing-based brief intervention (MIBI) for substance use disorders. This study presents the cost and cost-effectiveness results. Methods: Thirty-nine HIV service organizations were randomized to receive the ATTC-only condition or the ATTC + ISF condition. Two staff from each organization received the ATTC-training. In ATTC + ISF organizations, the same two staff and additional support staff participated in facilitation sessions to support MIBI implementation. We estimated costs using primary data on the time spent in each strategy and the time spent delivering 409 MIBIs to clients. We estimated staff-level cost-effectiveness for the number of MIBIs delivered, average MIBI quality scores, and total client days abstinent per staff. We used sensitivity analyses to test how changes to key variables affect the results. Results: Adjusted per-staff costs were $2,915 for the ATTC strategy and $5,371 for ATTC + ISF, resulting in an incremental cost of $2,457. ATTC + ISF significantly increased the number of MIBIs delivered (3.73) and the average MIBI quality score (61.45), yielding incremental cost effectiveness ratios (ICERs) of $659 and $40. Client days abstinent increased by 59 days per staff with a quality-adjusted life-year ICER of $40,578 (95% confidence interval $29,795-$61,031). Conclusions: From the perspective of federal policymakers, ISF as an adjunct to the ATTC strategy may be cost-effective for improving the integration of MIBIs within HIV service organizations, especially if scaled up to reach more clients. Travel accounted for nearly half of costs, and virtual implementation may further increase value. We also highlight two considerations for cost-effectiveness analysis with hybrid trials: study protocols kept recruitment low and modeling choices affect how we interpret the effects on client-level outcomes.

The Prevalence and Negative Impacts of Substance Use Disorders among People with HIV in the United States: A Real-Time Delphi Survey of Key Stakeholders.

Although HIV and substance use disorders (SUDs) constitute a health syndemic, no research to date has examined the perceived negative impacts of different SUDs for people with HIV (PWH). In May 2019, 643 stakeholders in the U.S., representing clients of AIDS service organizations (ASOs), ASO staff, and HIV/AIDS Planning Council members, participated in an innovative Stakeholder-Engaged Real-Time Delphi (SE-RTD) survey focused on the prevalence and individual-level negative impact of five SUDs for PWH. The SE-RTD method has advantages over conventional survey methods by efficiently sharing information, thereby reducing the likelihood that between-group differences are simply due to lack of information, knowledge, and/or understanding. The population-level negative impacts were calculated by weighting each SUD's individual-level negative impact on indicators of the HIV Care Continuum and other important areas of life by the perceived prevalence of each SUD. Overall, we found these SUDs to have the greatest population-level negative impact scores (possible range 0-24): alcohol use disorder (population-level negative impact = 6.9; perceived prevalence = 41.9%), methamphetamine use disorder (population-level negative impact = 6.5; perceived prevalence = 3.2%), and opioid use disorder (population-level negative impact = 6.4; perceived prevalence = 34.6%). Beyond further demonstration of the need to better integrate SUD services within HIV settings, our findings may help inform how finite funding is allocated for addressing the HIV-SUD syndemic within the U.S. Based on our findings, such future efforts should prioritize the integration of evidence-based treatments that help address use disorders for alcohol, methamphetamine, and opioids.

The implementation and sustainment facilitation strategy improved implementation effectiveness and intervention effectiveness: Results from a cluster-randomized, type 2 hybrid trial.

Background: Substance use disorders (SUDs) among people with HIV are both prevalent and problematic. The Substance Abuse Treatment to HIV care project was funded to test the Implementation and Sustainment Facilitation (ISF) strategy as an adjunct to the Addiction Technology Transfer Center (ATTC) strategy for integrating a motivational interviewing-based brief intervention (MIBI) for SUDs within HIV community-based organizations. Methods: Using a cluster-randomized, type 2 hybrid trial design, 39 HIV organizations were randomized to either (1) ATTC (n = 19) or (2) ATTC + ISF (n = 20). Each HIV organization identified two staff members to be prepared to implement the MIBI (N = 78). Subsequently, during the implementation phase, HIV organizations in each condition randomized client participants (N = 824) to one of the two intervention conditions: usual care (UC; n = 415) or UC + MIBI (n = 409). Both staff-level outcomes and client-level outcomes were examined. Results: The ISF strategy had a significant impact on the implementation effectiveness (i.e., the consistency and the quality of implementation; ß = .65, p = .01) but not on time-to-proficiency (ß = -.02) or level-of-sustainment (ß = .09). In addition, the ISF strategy was found to have a significant impact on the intervention effectiveness (the effectiveness of the MIBI), at least in terms of significantly decreasing the odds (odds ratio = 0.11, p = .02) of clients using their primary substance daily during follow-up. Conclusion: The ISF strategy was found to be an effective adjunct to the ATTC strategy in terms of implementation effectiveness and intervention effectiveness. It is recommended that future efforts to integrate the project's MIBI for SUD within HIV organizations use the ATTC + ISF strategy. However, given the ISF strategy did not have a significant impact on level-of-sustainment, implementation research testing the extent to which the ATTC + ISF strategy can be significantly enhanced through effective sustainment strategies is warranted. Plain language abstract: Substance use among people living with HIV is associated with increased mental health problems, worse medication adherence, and worse HIV viral suppression. Increasing substance use-related services in HIV community-based organizations is an important public health need. The Substance Abuse Treatment to HIV care project tested two strategies for helping HIV organizations implement a brief intervention (BI) designed to motivate clients to decrease their substance use. The project also tested if receiving a BI improved clients' outcome. Two staff from each of the 39 participating organizations were taught how to deliver the BI using the Addiction Technology Transfer Center (ATTC) training strategy (online and in-person training, monthly feedback, and coaching). Half of the organizations also received the Implementation and Sustainment Facilitation (ISF) strategy, which included monthly meetings with an ISF coach for the two BI staff and one or more leadership staff from the organization. Organizations that received both the ATTC and ISF strategies delivered more BIs and higher quality BIs than organizations that only received the ATTC strategy. In addition, clients receiving BIs at organizations that received both strategies were more likely to decrease their substance use. However, receiving both strategies did not improve how quickly staff learned to deliver the BI or improve the number of BIs delivered during the project's 6-month sustainment phase. Future research focused on implementing BIs within HIV organizations should consider using the ATTC and ISF strategies while also seeking to enhance the strategies to improve sustainment.

Methodological limitations in the measurement and statistical modeling of violence among adults with mental illness.

OBJECTIVES: Methodological limitations of extant research hinder the development of effective violence risk screening, assessment, and management strategies for adults with mental illness. This study quantifies the effects of three common limitations: (a) insensitive measurement of violence that results in violence classification with high levels of information bias, (b) use of cross-sectional data, and (c) use of data lacking spatiotemporal contiguity. METHODS: We utilize secondary data (N = 3,000 participants; N = 10,017 observations) and parametric and nonparametric bootstrap simulation methodologies. RESULTS: Not utilizing self-reported violence data increases information bias. Furthermore, cross-sectional data that exclude self-reported violence produce biased associations between substance use and psychiatric symptoms and violence. Associations between baseline variables and subsequent violence attenuate over longer time lags and, when paired with high levels of violence information bias, result in fewer significant effects than should be present. Moreover, the true direction of the simulated relationship of some significant effects is reversed. CONCLUSIONS: Our findings suggest that the validity of conclusions from some extant research on violence among adults with mental illness should be questioned. Efforts are needed to improve both the measurement of violence, through inclusion of self-report, and the statistical modeling of violence, using lagged rather than nonlagged models with improved spatiotemporal contiguity.

PHIT for Duty, a Mobile Application for Stress Reduction, Sleep Improvement, and Alcohol Moderation.

Post-traumatic stress and other problems often occur after combat, deployment, and other military operations. Because techniques such as mindfulness meditation show efficacy in improving mental health, our team developed a mobile application (app) for individuals in the armed forces with subclinical psychological problems as secondary prevention of more significant disease. Based on the Personal Health Intervention Toolkit (PHIT), a mobile app framework for personalized health intervention studies, PHIT for Duty integrates mindfulness-based relaxation, behavioral education in sleep quality and alcohol use, and psychometric and psychophysiological data capture. We evaluated PHIT for Duty in usability and health assessment studies to establish app quality for use in health research. Participants (N = 31) rated usability on a 1 (very hard) to 5 (very easy) scale and also completed the System Usability Scale (SUS) questionnaire (N = 9). Results were (mean ± SD) overall (4.5 ± 0.6), self-report instruments (4.5 ± 0.7), pulse sensor (3.7 ± 1.2), sleep monitor (4.4 ± 0.7), sleep monitor comfort (3.7 ± 1.1), and wrist actigraphy comfort (2.7 ± 0.9). The average SUS score was 85 ± 12, indicating a rank of 95%. A comparison of PHIT-based assessments to traditional paper forms demonstrated a high overall correlation (r = 0.87). These evaluations of usability, health assessment accuracy, physiological sensing, system acceptability, and overall functionality have shown positive results and affirmation for using the PHIT framework and PHIT for Duty application in mobile health research.

Correction to: Testing the effectiveness of a motivational interviewing-based brief intervention for substance use as an adjunct to usual care in community-based AIDS service organizations: study protocol for a multisite randomized controlled trial.

Upon publication of the original article.

Testing the effectiveness of a motivational interviewing-based brief intervention for substance use as an adjunct to usual care in community-based AIDS service organizations: study protocol for a multisite randomized controlled trial.

BACKGROUND: In 2010, the first comprehensive National HIV/AIDS Strategy for the United States was released and included three goals: (1) reducing the number of people who become infected with HIV, (2) increasing access to care and improving health outcomes for people living with HIV, and (3) reducing HIV-related health disparities and health inequities. In 2013, as part of its effort to help address the National HIV/AIDS Strategy, the National Institute on Drug Abuse (NIDA) funded a type 2 effectiveness-implementation hybrid trial titled the Substance Abuse Treatment to HIV Care (SAT2HIV) Project. Aim 1 of the SAT2HIV Project tests the effectiveness of a motivational interviewing-based brief intervention (MIBI) for substance use as an adjunct to usual care within AIDS Service Organizations (ASOs) as part of its MIBI Experiment. Aim 2 of the SAT2HIV Project tests the effectiveness of implementation and sustainment facilitation (ISF) as an adjunct to the Addiction Technology Transfer Center (ATTC) model for training staff in motivational interviewing as part of its ISF Experiment. The current paper describes the study protocol for the MIBI Experiment. METHODS: As part of a multisite randomized controlled trial, individuals with comorbid HIV/AIDS and problematic substance use are randomized to receive either the ASOs' usual care (control condition) or usual care plus a MIBI for substance use (experimental condition) delivered by trained ASO case-management staff. Primary outcome measures are reductions in days of primary substance use, number of substance-related problems, times engaging in risky behaviors, days of non-adherence to HIV medications, and increases in substance use treatment. As part of this paper, we describe the trial protocol in accordance with the Standard Protocol Items: Recommendations for Interventional Trials guidelines. DISCUSSION: If successfully able to implement MIBI as an effective adjunct to usual care, the current trial may have a significant impact on increasing the capacity of ASOs to address problematic substance use among individuals living with HIV/AIDS. Reducing the prevalence of problematic substance use among individuals living with HIV/AIDS within the United States may lead to significant improvements on key performance measures (i.e., the HIV Care Continuum and the 90-90-90 target). Trial registration ClinicalTrials.gov: NCT02495402.

Jail-to-community treatment continuum for adults with co-occurring substance use and mental disorders: study protocol for a pilot randomized controlled trial.

BACKGROUND: Adults with co-occurring mental and substance use disorders (CODs) are overrepresented in jails. In-custody barriers to treatment, including a lack of evidence-based treatment options and the often short periods of incarceration, and limited communication between jails and community-based treatment agencies that can hinder immediate enrollment into community care once released have contributed to a cycle of limited treatment engagement, unaddressed criminogenic risks, and (re)arrest among this vulnerable and high-risk population. This paper describes a study that will develop research and communication protocols and adapt two evidence-based treatments, dual-diagnosis motivational interviewing (DDMI) and integrated group therapy (IGT), for delivery to adults with CODs across a jail-to-community treatment continuum. METHODS/DESIGN: Adaptations to DDMI and IGT were guided by the Risk-Need-Responsivity model and the National Institute of Corrections' implementation competencies; the development of the implementation framework and communication protocols were guided by the Evidence-Based Interagency Implementation Model for community corrections and the Inter-organizational Relationship model, respectively. Implementation and evaluation of the protocols and adapted interventions will occur via an open trial and a pilot randomized trial. The clinical intervention consists of two in-jail DDMI sessions and 12 in-community IGT sessions. Twelve adults with CODs and four clinicians will participate in the open trial to evaluate the acceptability and feasibility of, and fidelity to, the interventions and research and communication protocols. The pilot controlled trial will be conducted with 60 inmates who will be randomized to either DDMI-IGT or treatment as usual. A baseline assessment will be conducted in jail, and four community-based assessments will be conducted during a 6-month follow-up period. Implementation, clinical, public health, and treatment preference outcomes will be evaluated. DISCUSSION: Findings have the potential to improve both jail- and community-based treatment services for adults with CODs as well as inform methods for conducting rigorous pilot implementation and evaluation research in correctional settings and as inmates re-enter the community. Findings will contribute to a growing area of work focused on interrupting the cycle of limited treatment engagement, unaddressed criminogenic risks, and (re)arrest among adults with CODs. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02214667 . Registered on 10 August 2014.

Effects of sample size and distributional assumptions on competing models of the factor structure of the PANSS and BPRS.

Factor analytic work on the Positive and Negative Syndrome Scale (PANSS) and Brief Psychiatric Rating Scale (BPRS) has yielded varied and conflicting results. The current study explored potential causes of these discrepancies. Prior research has been limited by small sample sizes and an incorrect assumption that the items are normally distributed when in practice responses are highly skewed ordinal variables. Using simulation methodology, we examined the effects of sample size, (in)correctly specifying item distributions, collapsing rarely endorsed response categories, and four factor analytic models. The first is the model of Van Dorn et al., developed using a large integrated data set, specified the item distributions as multinomial, and used cross-validation. The remaining models were developed specifying item distributions as normal: the commonly used pentagonal model of White et al.; the model of Van der Gaag et al. developed using extensive cross-validation methods; and the model of Shafer developed through meta-analysis. Our simulation results indicated that incorrectly assuming normality led to biases in model fit and factor structure, especially for small sample size. Collapsing rarely used response options had negligible effects.

A longitudinal analysis of the overlap between violence and victimization among adults with mental illnesses.

Prior research suggests considerable overlap of violence perpetration and victimization among adults with mental illnesses. However, there has been no examination of how the likelihood of being a victim and/or perpetrator of violence may change over time, nor consideration of clinically-relevant factors affecting these transitions. In a pooled sample of adults with mental illnesses (N=3,473) we employed latent transition analysis to: (a) determine prevalence of four violence and victimization classifications (i.e., non-victim/non-perpetrator, victim only, perpetrator only, and victim-perpetrator) over a 6-month period; (b) calculate the likelihood that adults with mental illnesses will remain in or transition between these classifications over time; and (c) assess the effects of recent substance use, psychiatric symptoms, and suicidal behaviors on transitions over time. At each time point, the majority of participants identified as non-victim/non-perpetrators, followed by victim-perpetrators, victims only, and perpetrators only. Analyses also revealed many individuals transitioned between classifications over time. These distinct pathways towards, and away from, violent outcomes were, in part, a function of recent violence and/or victimization, as well as substance use, psychiatric symptoms, and suicidal behaviors. Findings inform the identification of adults with mental illnesses at risk of violence and victimization and highlight points of intervention.

The latent structure of psychiatric symptoms across mental disorders as measured with the PANSS and BPRS-18.

Raw data were used from five studies of adults with mental illnesses (N=4,480) in an attempt to identify a psychiatric symptoms factor structure, as measured by the Positive and Negative Syndrome Scale or the Brief Psychiatric Rating Scale, that was generalizable across participant characteristics. First, the fit of four extant models was tested via confirmatory factor analysis (CFA), then exploratory factor analyses (EFA) were conducted with a 50% random sample, followed by a CFA with the remaining 50% to confirm the EFA factor structure. Measurement invariance of the factor structure was also examined across diagnosis, sex, race, age, and hospitalization status. The extant models were not generalizable to these data. However, a 4-factor (Affective, Positive, Negative, Disorganized Cognitive Processing) model was identified that retained all items and showed invariance across participant characteristics. It is possible to obtain a psychiatric symptoms factor structure that is generalizable across patient characteristics, which has clinical and research implications. Specifically, future research examining the impact of various interventions on psychiatric symptoms among adults with mental illnesses should confirm, and assuming good model-data fit, use the 4-factor model identified in this study.

Visualization of Categorical Longitudinal and Times Series Data.

Plotting growth curves is a powerful graphical approach used in exploratory data analysis for continuous longitudinal data. However, plotted growth curves for multiple participants rapidly become uninterpretable with categorical data. Categorical data define specific states (e.g., being single, married, divorced), and these states do not necessarily need to represent any hierarchical order. Thus, a trajectory becomes a sequence of states rather than a continuum. We introduce a horizontal line plot that uses shade or color to differentiate between states on a categorical longitudinal variable for multiple participants. With appropriate sorting, stacking the horizontal lines that represent each participant can reveal important patterns such as the shape of, or heterogeneity in, the trajectories. We illustrate the plotting techniques for large sample sizes, observed groups, the exploration of unobserved latent classes, large numbers of time points such as are found with intensive longitudinal designs or multivariate time series data, individually varying times observation, unique numbers of observations, and missing data. We used the R package longCatEDA to create the illustrations. Illustrative data include both simulated data and alcohol consumption data in adult schizophrenics from the Clinical Antipsychotic Trials of Intervention Effectiveness.

ActiviTeen: A Protocol for Deployment of a Consumer Wearable Device in an Academic Setting.

BACKGROUND: Regular physical activity (PA) can be an important indicator of health across an individual's life span. Consumer wearables, such as Fitbit or Jawbone, are becoming increasingly popular to track PA. With the increased adoption of activity trackers comes the increased generation of valuable individual-based data. Generated data has the potential to provide detailed insights into the user's behavior and lifestyle. OBJECTIVE: The primary objective of the described study is to evaluate the feasibility of individual data collection from the selected consumer wearable device (the Fitbit Zip). The rate of user attrition and barriers preventing the use of consumer wearable devices will also be evaluated as secondary objectives. METHODS: The pilot study will occur in two stages and employs a long-term review and analysis with a convenience sample of 30 students attending Research Triangle High School. For the first stage, students will initially be asked to wear the Fitbit Zip over the course of 4 weeks. During which time, their activity data and step count will be collected. Students will also be asked to complete a self-administered survey at the beginning and conclusion of the first stage. The second stage will continue to collect students' activity data and step count over an additional 3-month period. RESULTS: We are anticipating results for this study by the end of 2016. CONCLUSION: This study will provide insight into the data collection procedures surrounding consumer wearable devices and could serve as the future foundation for other studies deploying consumer wearable devices in educational settings.

Proximal Risk Factors for Short-Term Community Violence Among Adults With Mental Illnesses.

OBJECTIVE: This study examined the role of static indicators and proximal, clinically relevant indicators in the prediction of short-term community violence in a large, heterogeneous sample of adults with mental illnesses. METHODS: Data were pooled from five studies of adults with mental illnesses (N=4,484). Follow-up data were available for 2,579 participants. A hierarchical linear regression assessed the incremental validity of a series of variable clusters in the prediction of violence risk at six months: static characteristics (age, sex, race-ethnicity, and primary diagnosis), substance use (alcohol use and drug use at baseline), clinical functioning (psychiatric symptoms at baseline and recent hospitalization), recent violence, and recent victimization. RESULTS: Results demonstrated improved prediction with each step of the model, indicating that proximal indicators contributed to the prediction of short-term community violence above and beyond static characteristics. When all variables were entered, current alcohol use, recent violence, and recent victimization were positive predictors of subsequent violence, even after the analysis controlled for participant characteristics. CONCLUSIONS: This study provides empirical evidence for three proximal, clinically relevant indicators in the assessment and management of short-term violence risk among adults with mental illnesses: current alcohol use, recent violence, and recent victimization. Consideration of these indicators in clinical practice may assist in the identification of adults with mental illnesses who are at heightened risk of short-term community violence.

Getting less of what you want: reductions in statistical power and increased bias when categorizing medication adherence data.

Medication adherence is thought to be the principal clinical predictor of positive clinical outcomes, not only for serious mental illnesses such as schizophrenia, bipolar disorder, or depression, but also for physical conditions such as diabetes. Consequently, research on medication often looks not only at medication condition (e.g., placebo, standard medication, investigative medication), but also at adherence in taking those medications within each medication condition. The percentage (or proportion) scale is one of the more frequently employed and easily interpretable measures. Patients can be 0 % adherent, 100 % adherent, or somewhere in between. For simplicity, many reported adherence analyses dichotomize or trichotomize the adherence predictor when estimating its effect on outcomes of interest. However, the methodological literature shows that the practice of categorizing continuously distributed predictors reduces statistical power at best and, at worst, can severely bias parameter estimates. This can result in inflated Type I errors (false positive acceptance of null adherence effects) or Type II errors (false negative rejection of true adherence effects). We extend the methodological literature on categorization to the construct of adherence. The measurement scale of adherence leads to a diverse family of potential distributions including uniform, n-shaped, u-shaped (i.e., bimodal), positively skewed, and negatively skewed. Using a simulation study, we generated negative, null, and positive "true" effects of adherence on simulated continuous and binary outcomes. We then estimated the adherence effect with and without categorizing the adherence variable. We show how parameter estimates and standard errors can be severely biased when categorizing adherence. The categorization of adherence is shown to cause null effects to become positive or negative depending on the distribution of the simulated adherence variable, inflating Type I errors. When the adherence effect was significantly different from zero, categorization can render the effect null, inflating Type II errors. We recommend that adherence be measured continuously and analyzed without categorization when using it as a predictor in regression models.

Risk of early sexual initiation and pregnancy among youth reported to the child welfare system.

This study found that youth involved with the child welfare system have high rates of sexual risk behaviors and outcomes, including forced sex, early age at first sex, low contraceptive use, and pregnancy, which are more than double those of adolescents from the general population. Caseworkers may need training in how to address sexual risk factors and may need to support caregivers in addressing these issues with their children. Findings highlight the importance for case-workers, caregivers, and others to address the sexual and reproductive health needs of maltreated youth.

Drug and alcohol trajectories among adults with schizophrenia: data from the CATIE study.

OBJECTIVE: The primary aim is to describe drug and alcohol trajectories in adults with schizophrenia. METHOD: Growth mixture models were used to examine disordered and non-disordered use and abstinence in the Clinical Antipsychotic Trials of Intervention Effectiveness study. RESULTS: Five classes - always abstinent; fluctuating use, abuse, and occasional abstinence; occasional (ab)use; stopped (ab)use; abusing - fit best. Overlap exists between always abstinent drug and alcohol classes; less overlap exists across other classes. CONCLUSION: There is heterogeneity in drug and alcohol use among adults with schizophrenia. The lack of overlap between classes, save always abstinent, suggests modeling drug and alcohol use separately.