Measuring health-related quality of life in children with suspected genetic conditions: validation of the PedsQL proxy-report versions.

PURPOSE: Measuring health-related quality of life (HRQoL) of children with suspected genetic conditions is important for understanding the effect of interventions such as genomic sequencing (GS). The Pediatric Quality of Life Inventory (PedsQL) is a widely used generic measure of HRQoL in pediatric patients, but its psychometric properties have not yet been evaluated in children undergoing diagnostic GS. METHODS: In this cross-sectional study, we surveyed caregivers at the time of their child's enrollment into GS research studies as part of the Clinical Sequencing Evidence Generating Research (CSER) consortium. To evaluate structural validity of the PedsQL 4.0 Generic Core Scales and PedsQL Infant Scales parent proxy-report versions, we performed a confirmatory factor analysis of the hypothesized factor structure. To evaluate convergent validity, we examined correlations between caregivers' reports of their child's health, assessed using the EQ VAS, and PedsQL scores by child age. We conducted linear regression analyses to examine whether age moderated the association between caregiver-reported child health and PedsQL scores. We assessed reliability using Cronbach's alpha. RESULTS: We analyzed data for 766 patients across all PedsQL age group versions (1-12 months through 13-18 years). Model fit failed to meet criteria for good fit, even after modification. Neither age group (categorical) nor age (continuous) significantly moderated associations between PedsQL scores and caregiver-reported child health. Cronbach's alphas indicated satisfactory internal consistency for most PedsQL scales. CONCLUSION: The PedsQL Generic Core Scales and Infant Scales may be appropriate to measure HRQoL in pediatric patients with suspected genetic conditions across a wide age range. While we found evidence of acceptable internal consistency and preliminary convergent validity in this sample, there were some potential problems with structural validity and reliability that require further attention.

The PrU: Development and validation of a measure to assess personal utility of genomic results.

PURPOSE: People report experiencing value from learning genomic results even in the absence of clinically actionable information. Such personal utility has emerged as a key concept in genomic medicine. The lack of a validated patient-reported outcome measure of personal utility has impeded the ability to assess this concept among those receiving genomic results and evaluate the patient-perceived value of genomics. We aimed to construct and psychometrically evaluate a scale to measure personal utility of genomic results-the Personal Utility (PrU) scale. METHODS: We used an evidence-based, operational definition of personal utility, with data from a systematic literature review and Delphi survey to build a novel scale. After piloting with 24 adults, the PrU was administered to healthy adults in a Clinical Sequencing Evidence-Generating Research Consortium study after receiving results. We investigated the responses using exploratory factor analysis. RESULTS: The exploratory factor analysis (N = 841 participants) resulted in a 3-factor solution, accounting for 74% of the variance in items: (1) self-knowledge (α = 0.92), (2) reproductive planning (α = 0.89), and (3) practical benefits (α = 0.91). CONCLUSION: Our findings support the use of the 3-factor PrU to assess personal utility of genomic results. Validation of the PrU in other samples will be important for more wide-spread application.

Lessons learned and recommendations for data coordination in collaborative research: The CSER consortium experience.

Integrating data across heterogeneous research environments is a key challenge in multi-site, collaborative research projects. While it is important to allow for natural variation in data collection protocols across research sites, it is also important to achieve interoperability between datasets in order to reap the full benefits of collaborative work. However, there are few standards to guide the data coordination process from project conception to completion. In this paper, we describe the experiences of the Clinical Sequence Evidence-Generating Research (CSER) consortium Data Coordinating Center (DCC), which coordinated harmonized survey and genomic sequencing data from seven clinical research sites from 2020 to 2022. Using input from multiple consortium working groups and from CSER leadership, we first identify 14 lessons learned from CSER in the categories of communication, harmonization, informatics, compliance, and analytics. We then distill these lessons learned into 11 recommendations for future research consortia in the areas of planning, communication, informatics, and analytics. We recommend that planning and budgeting for data coordination activities occur as early as possible during consortium conceptualization and development to minimize downstream complications. We also find that clear, reciprocal, and continuous communication between consortium stakeholders and the DCC is equally important to maintaining a secure and centralized informatics ecosystem for pooling data. Finally, we discuss the importance of actively interrogating current approaches to data governance, particularly for research studies that straddle the research-clinical divide.

Prevalence and prediction of medical distrust in a diverse medical genomic research sample.

PURPOSE: Medical distrust has been identified as a persistent barrier to medical care, affecting preventative screening, treatment uptake, and treatment adherence. Despite this, little research to date has examined medical distrust in a genomic medicine context. The goal of this work was to assess the prevalence of medical distrust in a genomic medicine research study and examine patient-level demographic, access-related, and health-status characteristics that predict medical distrust. METHODS: We assessed medical distrust in a research sample of adults (N = 967) receiving genomic sequencing to screen for hereditary risk of cancer syndromes in the United States. We used multiple predictive variable selection models to determine predictors of medical distrust followed by marginal mean analyses to characterize the relationships. RESULTS: The prevalence of medical distrust was 32%. The final model indicated that Black and African American race/ethnicity; trans, nonbinary, or nonidentifying gender identity; high education; low income; low access to health care; and poor Short Form 12 mental health composite scores predict medical distrust. CONCLUSION: Medical distrust may pose similar challenges to genomic sequencing, as it does in other medical contexts. The pattern of variables that predict distrust suggest that increasing access and accommodation for stigmatized and underserved communities may help overcome the negative effects of medical distrust.

Creating accessible Spanish language materials for Clinical Sequencing Evidence-Generating Research consortium genomic projects: challenges and lessons learned.

Aim: To increase Spanish speakers' representation in genomics research, accessible study materials on genetic topics must be made available in Spanish. Materials & methods: The Clinical Sequencing Evidence-Generating Research consortium is evaluating genome sequencing for underserved populations. All sites needed Spanish translation of recruitment materials, surveys and return of results. Results: We describe our process for translating site-specific materials, as well as shared measures across sites, to inform future efforts to engage Spanish speakers in research. Conclusion: In translating and adapting study materials for roughly 1000 Spanish speakers across the USA, and harmonizing translated measures across diverse sites, we overcame numerous challenges. Translation should be performed by professionals. Studies must allocate sufficient time, effort and budget to translate and adapt participant materials.

Lay abstract To encourage Spanish speakers to join research studies, researchers need to give them written study materials they can easily read and understand. Our study of genome sequencing adapted and translated study materials for use by Spanish speakers across the USA. We describe our process and share our lessons to help others engage Spanish speakers in research. Studies that want to reach Spanish speakers must plan to spend time, effort and money to produce consistent, accurate Spanish-language study materials.

Organizational readiness to implement population-based screening and genetic service delivery for hereditary cancer prevention and control.

Despite clinical guidelines, programs conducting population-based screening and genetic service delivery for hereditary cancer prevention and control are rare in practice. We interviewed individuals (n = 13) instrumental in implementing seven unique clinical programs conducting either universal tumor screening for Lynch Syndrome or routine family history screening and provision of genetic services for hereditary breast and ovarian cancer in the United States. To characterize determinants of readiness to implement population-based cancer genetic service delivery models, interviews and deductive codes drew on Weiner's theory of organizational readiness for change. Qualitative analysis identified themes across programs. The degree to which organizational stakeholders valued moving to a population-based genetic service delivery model depended on the existence of aligned clinical guidelines at the time of program implementation. However, judgments of implementation capacity within the organization, particularly with respect to task demands and resource concerns, were more often barriers to readiness. Program champions were essential to facilitating readiness, frequently taking on substantial uncompensated work. These data suggest that developing interventions targeting change efficacy and cultivating practice change champions may be two promising ways to increase uptake of population-based hereditary cancer screening and genetic service delivery in clinical practice.

Lessons learned about harmonizing survey measures for the CSER consortium.

INTRODUCTION: Implementation of genome-scale sequencing in clinical care has significant challenges: the technology is highly dimensional with many kinds of potential results, results interpretation and delivery require expertise and coordination across multiple medical specialties, clinical utility may be uncertain, and there may be broader familial or societal implications beyond the individual participant. Transdisciplinary consortia and collaborative team science are well poised to address these challenges. However, understanding the complex web of organizational, institutional, physical, environmental, technologic, and other political and societal factors that influence the effectiveness of consortia is understudied. We describe our experience working in the Clinical Sequencing Evidence-Generating Research (CSER) consortium, a multi-institutional translational genomics consortium. METHODS: A key aspect of the CSER consortium was the juxtaposition of site-specific measures with the need to identify consensus measures related to clinical utility and to create a core set of harmonized measures. During this harmonization process, we sought to minimize participant burden, accommodate project-specific choices, and use validated measures that allow data sharing. RESULTS: Identifying platforms to ensure swift communication between teams and management of materials and data were essential to our harmonization efforts. Funding agencies can help consortia by clarifying key study design elements across projects during the proposal preparation phase and by providing a framework for data sharing data across participating projects. CONCLUSIONS: In summary, time and resources must be devoted to developing and implementing collaborative practices as preparatory work at the beginning of project timelines to improve the effectiveness of research consortia.

The Genomic Medicine Integrative Research Framework: A Conceptual Framework for Conducting Genomic Medicine Research.

Conceptual frameworks are useful in research because they can highlight priority research domains, inform decisions about interventions, identify outcomes and factors to measure, and display how factors might relate to each other to generate and test hypotheses. Discovery, translational, and implementation research are all critical to the overall mission of genomic medicine and prevention, but they have yet to be organized into a unified conceptual framework. To fill this gap, our diverse team collaborated to develop the Genomic Medicine Integrative Research (GMIR) Framework, a simple but comprehensive tool to aid the genomics community in developing research questions, strategies, and measures and in integrating genomic medicine and prevention into clinical practice. Here we present the GMIR Framework and its development, along with examples of its use for research development, demonstrating how we applied it to select and harmonize measures for use across diverse genomic medicine implementation projects. Researchers can utilize the GMIR Framework for their own research, collaborative investigations, and clinical implementation efforts; clinicians can use it to establish and evaluate programs; and all stakeholders can use it to help allocate resources and make sure that the full complexity of etiology is included in research and program design, development, and evaluation.

Perspectives on a contingency management intervention for alcohol use among consumers with serious mental illness.

OBJECTIVE: This study describes the perspectives of outpatients with serious mental illness (SMI) and alcohol dependence on their participation in a contingency management (CM) intervention for alcohol use. METHODS: Thirty-five adults with SMI and alcohol dependence participated in a randomized trial of CM for alcohol use, where they were rewarded with prizes contingent on abstinence from alcohol. All participants were interviewed regarding their participation in CM with a consistent structure that included nine open-ended questions. Favored and disliked aspects of CM, perception of alcohol biomarker accuracy, and interest in participating in similar CM interventions provided by treatment centers, rather than researchers, were explored. RESULTS: Participants spoke enthusiastically about receiving prizes, as well as how CM increased their awareness of drinking and helped support their abstinence from alcohol. Most participants felt the ethyl glucuronide biomarker urine tests used to measure alcohol use were accurate, and they were interested in enrolling in CM if it was offered as a clinical program. Research staff who implemented the intervention were well regarded by participants, and interactions with research staff were perceived positively. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: Adults with SMI and alcohol dependence participating in a trial of CM for alcohol use reported overall positive perceptions of and experiences with CM. Receiving small tangible prizes and having positive interpersonal interactions with study staff were reported as especially impactful. These findings indicate that CM is well received by consumers, in addition to its empirical and practical benefits as an evidence-based, low-cost intervention. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

The Clinical Sequencing Evidence-Generating Research Consortium: Integrating Genomic Sequencing in Diverse and Medically Underserved Populations.

The Clinical Sequencing Evidence-Generating Research (CSER) consortium, now in its second funding cycle, is investigating the effectiveness of integrating genomic (exome or genome) sequencing into the clinical care of diverse and medically underserved individuals in a variety of healthcare settings and disease states. The consortium comprises a coordinating center, six funded extramural clinical projects, and an ongoing National Human Genome Research Institute (NHGRI) intramural project. Collectively, these projects aim to enroll and sequence over 6,100 participants in four years. At least 60% of participants will be of non-European ancestry or from underserved settings, with the goal of diversifying the populations that are providing an evidence base for genomic medicine. Five of the six clinical projects are enrolling pediatric patients with various phenotypes. One of these five projects is also enrolling couples whose fetus has a structural anomaly, and the sixth project is enrolling adults at risk for hereditary cancer. The ongoing NHGRI intramural project has enrolled primarily healthy adults. Goals of the consortium include assessing the clinical utility of genomic sequencing, exploring medical follow up and cascade testing of relatives, and evaluating patient-provider-laboratory level interactions that influence the use of this technology. The findings from the CSER consortium will offer patients, healthcare systems, and policymakers a clearer understanding of the opportunities and challenges of providing genomic medicine in diverse populations and settings, and contribute evidence toward developing best practices for the delivery of clinically useful and cost-effective genomic sequencing in diverse healthcare settings.

A Randomized Controlled Trial of Ethyl Glucuronide-Based Contingency Management for Outpatients With Co-Occurring Alcohol Use Disorders and Serious Mental Illness.

OBJECTIVE: The authors examined whether a contingency management intervention using the ethyl glucuronide (EtG) alcohol biomarker resulted in increased alcohol abstinence in outpatients with co-occurring serious mental illnesses. Secondary objectives were to determine whether contingency management was associated with changes in heavy drinking, treatment attendance, drug use, cigarette smoking, psychiatric symptoms, and HIV-risk behavior. METHOD: Seventy-nine (37% female, 44% nonwhite) outpatients with serious mental illness and alcohol dependence receiving treatment as usual completed a 4-week observation period and were randomly assigned to 12 weeks of contingency management for EtG-negative urine samples and addiction treatment attendance, or reinforcement only for study participation. Contingency management included the variable magnitude of reinforcement "prize draw" procedure contingent on EtG-negative samples (<150 ng/mL) three times a week and weekly gift cards for outpatient treatment attendance. Urine EtG, drug test, and self-report outcomes were assessed during the 12-week intervention and 3-month follow-up periods. RESULTS: Contingency management participants were 3.1 times (95% CI=2.2-4.5) more likely to submit an EtG-negative urine test during the 12-week intervention period, attaining nearly 1.5 weeks of additional alcohol abstinence compared with controls. Contingency management participants had significantly lower mean EtG levels, reported less drinking and fewer heavy drinking episodes, and were more likely to submit stimulant-negative urine and smoking-negative breath samples, compared with controls. Differences in self-reported alcohol use were maintained at the 3-month follow-up. CONCLUSIONS: This is the first randomized trial utilizing an accurate and validated biomarker (EtG) to demonstrate the efficacy of contingency management for alcohol dependence in outpatients with serious mental illness.

An economic evaluation of a contingency-management intervention for stimulant use among community mental health patients with serious mental illness.

BACKGROUND: This study examines the cost-effectiveness of contingency-management (CM) for stimulant dependence among community mental health patients with serious mental illness (SMI) METHODS: Economic evaluation of a 12-week randomized controlled trial investigating the efficacy of CM added to treatment-as-usual (CM+TAU), relative to TAU without CM, for treating stimulant dependence among patients with a SMI. The trial included 176 participants diagnosed with SMI and stimulant dependency who were receiving community mental health and addiction treatment at one community mental health center in Seattle, Washington. Participants were also assessed during a 12-week follow-up period. Positive and negative syndrome scale (PANSS) scores were used to calculate quality-adjusted life-years (QALYs) for the primary economic outcome. The primary clinical outcome, the stimulant-free year (SFY) is a weighted measure of time free from stimulants. Two perspectives were adopted, those of the provider and the payer. RESULTS: At 12-weeks neither the provider ($2652, p=0.74) nor the payer ($2611, p=0.99) cost differentials were statistically significant. This was also true for the payer at 24-weeks (-$125, p=1.00). QALYs gained were similar across groups, resulting in small, insignificant differences (0.04, p=0.23 at 12-weeks; 0.01, p=0.70 at 24 weeks). CM+TAU experienced significantly more SFYs, 0.24 (p<0.001) at 12 weeks and 0.20 (p=0.002) at 24 weeks, resulting in at least an 85% chance of being considered cost-effective at a threshold of $200,000/SFY. CONCLUSION: Contingency management appears to be a wise investment for both the provider and the payer with regard to the clinical outcome of time free from stimulants.

Determining ethyl glucuronide cutoffs when detecting self-reported alcohol use in addiction treatment patients.

BACKGROUND: Ethyl glucuronide (EtG) is an alcohol biomarker with potential utility as a clinical research and alcohol treatment outcome. Debate exists regarding the appropriate cutoff level for determining alcohol use, particularly with the EtG immunoassay. This study determined the EtG immunoassay cutoff levels that most closely correspond to self-reported drinking in alcohol-dependent outpatients. METHODS: Eighty adults with alcohol dependence and mental illness, taking part in an alcohol treatment study, provided urine samples 3 times per week for up to 16 weeks (1,589 samples). Self-reported drinking during 120 hours prior to each sample collection was assessed. Receiver operating characteristic analyses were conducted to assess the ability of the EtG immunoassay to detect self-reported alcohol use across 24- to 120-hour time periods. Sensitivity and specificity of EtG immunoassay cutoff levels was compared in 100 ng/ml increments (100 to 500 ng/ml) across 24 to 120 hours. RESULTS: Over half (57%) of the 1,589 samples indicated recent alcohol consumption. The EtG immunoassay closely corresponded to self-reported drinking from 24 (area under the curve [AUC] = 0.90, 95% confidence interval [CI]: 0.88, 0.92) to 120 hours (AUC = 0.88, 95% CI: 0.87, 0.90). When cutoff levels were compared across 24 to 120 hours, 100 ng/ml had the highest sensitivity (0.93 to 0.78) and lowest specificity (0.67 to 0.85). Relative to 100 ng/ml, the 200 ng/ml cutoff demonstrated a reduction in sensitivity (0.89 to 0.67), but improved specificity (0.78 to 0.94). The 300, 400, and 500 ng/ml cutoffs demonstrated the lowest sensitivity (0.86 to 0.33) and highest specificity (0.86 to 0.97) over 24 to 120 hours. CONCLUSIONS: For detecting alcohol use for >24 hours, the 200 ng/ml cutoff level is recommended for use as a research and clinical outcome.

High levels of agreement between clinic-based ethyl glucuronide (EtG) immunoassays and laboratory-based mass spectrometry.

BACKGROUND: Immunoassay urine drug screening cups that detect use for two or more days are commonly used in addiction treatment settings. Until recently, there has been no comparable immunoassay test for alcohol use in these settings. OBJECTIVES: The aim of this study was to assess the agreement of a commercially available ethyl glucuronide immunoassay (EtG-I) test conducted at an outpatient addiction clinic and lab-based EtG mass spectrometry (EtG-MS) conducted at a drug testing laboratory at three cut-off levels. High agreement between these two measures would support the usefulness of EtG-I as a clinical tool for monitoring alcohol use. METHODS: Forty adults with co-occurring alcohol dependence and serious mental illnesses submitted 1068 urine samples over a 16-week alcohol treatment study. All samples were tested using EtG-I on a benchtop analyzer and 149 were randomly selected for EtG-MS analysis at a local laboratory. Agreement was defined as the number of samples where EtG-I and EtG-MS were both above or below a specific cut-off level. Agreement was calculated at low cut-off levels (100 and 250 ng/ml), as well as at a higher cut-off level (500 ng/ml) recommended by most by commercial drug testing laboratories. RESULTS: Agreement between EtG-I and EtG-MS was high across all cut-off levels (90.6% at 100 ng/ml, and 96.6% at 250 and 500 ng/ml). CONCLUSIONS: EtG immunoassays conducted at low cut-off levels in point-of-care testing settings have high agreement with lab-based EtG-MS. EtG-I can be considered a useful clinical monitoring tool for alcohol use in community-based addiction treatment settings.

Preliminary findings: Contingency management targeting psycho-stimulant use results in secondary decreases in smoking for severely mentally ill adults.

BACKGROUND: Treatments for drug addiction and smoking in severely mentally ill (SMI) adults are needed. OBJECTIVES: To investigate the effect of a contingency management (CM) intervention targeting psycho-stimulant on cigarette smoking. METHODS: 126 stimulant dependent SMI smokers were assigned to CM or a non-contingent control condition. Rates of smoking-negative (<3 ppm) carbon monoxide breath-samples were compared. RESULTS: Individuals who received CM targeting psycho-stimulants were 79% more likely to submit a smoking-negative breath-sample relative to controls. CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: This study provides initial evidence that a behavioral treatment for drug use results in reductions in cigarette smoking in SMI adults.

Acceptability of contingency management among clinicians and clients within a co-occurring mental health and substance use treatment program.

BACKGROUND: Emerging evidence supports the effectiveness of contingency management (CM) for addictions treatment among individuals with co-occurring serious mental illness (SMI). Addiction treatment for people with SMI generally occurs within community mental health centers (CMHCs) and it is not known whether CM is acceptable within this context. Client views regarding CM are also unknown. OBJECTIVES: This study is the first to describe CM acceptability among CMHC clinicians, and the first to explore client views. Clinician-level predictors of CM acceptability are also examined. METHODS: This study examined views about CM among 80 clinicians and 29 clients within a CMHC within the context of a concurrent CM study. RESULTS: Three-quarters of clinicians reported they would use CM if funding were available. Clinicians and clients affirmed that incentives enhance abstinence motivation. Clinician CM acceptability was related to greater years of experience, and identifying as an addictions or co-occurring disorders counselor, more than a mental health clinician. CONCLUSIONS: The findings provide preliminary evidence that CMHC clinicians, serving clients with addictions and complicating SMI, and client participants in CM, view CM as motivating and a positive tool to facilitate recovery. SCIENTIFIC SIGNIFICANCE: As an evidence-based intervention, CM warrants further efforts toward funding and dissemination in CMHCs.

Predictors of stimulant abuse treatment outcomes in severely mentally ill outpatients.

BACKGROUND: Severe mental illness is often exclusionary criteria for studies examining factors that influence addiction treatment outcome. Therefore, little is known about predictors of treatment response of individuals receiving psychosocial treatments for addictions who suffer from co-occurring severe mental illness. METHODS: The impact of demographic, substance abuse severity, psychiatric severity, and service utilization variables on in-treatment performance (i.e., longest duration of abstinence) in a 12-week contingency management (CM) intervention for stimulant abuse in 96 severely mentally ill adults was investigated. A 4-step linear regression was used to identify independent predictors of in-treatment abstinence. RESULTS: This model accounted for 37.4% of variance in the longest duration of abstinence outcome. Lower levels of stimulant use (i.e., stimulant-negative urine test) and psychiatric severity (i.e., lower levels of psychiatric distress), as well as higher rates of outpatient treatment utilization at study entry were independently associated with longer duration of drug abstinence. CONCLUSION: These data suggest that individuals with low levels of stimulant use and psychiatric severity, as well as those actively engaged in services are most likely to succeed in a typical CM intervention. For others, modifications to CM interventions, such as increasing the value of reinforcement or adding CM to evidence based psychiatric interventions may improve treatment outcomes.

Randomized controlled trial of contingency management for stimulant use in community mental health patients with serious mental illness.

OBJECTIVE: The primary objective of this study was to determine whether contingency management was associated with increased abstinence from stimulant drug use in stimulant-dependent patients with serious mental illness treated in a community mental health center. Secondary objectives were to determine whether contingency management was associated with reductions in use of other substances, psychiatric symptoms, HIV risk behavior, and inpatient service utilization. METHOD: A randomized controlled design was used to compare outcomes of 176 outpatients with serious mental illness and stimulant dependence. Participants were randomly assigned to receive 3 months of contingency management for stimulant abstinence plus treatment as usual or treatment as usual with reinforcement for study participation only. Urine drug tests and self report, clinician-report, and service utilization outcomes were assessed during the 3-month treatment period and the 3-month follow-up period. RESULTS: Although participants in the contingency management condition were significantly less likely to complete the treatment period than those assigned to the control condition (42% compared with 65%), they were 2.4 times (95% CI=1.9­3.0)more likely to submit a stimulant-negative urine test during treatment. Compared with participants in the control condition,they had significantly lower levels of alcohol use, injection drug use, and psychiatric symptoms and were one-fifth as likely as those assigned to the control condition to be admitted for psychiatric hospitalization during treatment. They also reported significantly fewer days of stimulant drug use during the 3-month follow-up. CONCLUSIONS: When added to treatment as usual, contingency management is associated with large reductions in stimulant,injection drug, and alcohol use.Reductions in psychiatric symptoms and hospitalizations are important secondary benefits.

A pilot study of the accuracy of onsite immunoassay urinalysis of illicit drug use in seriously mentally ill outpatients.

OBJECTIVES: This pilot study investigated the accuracy of onsite immunoassay urinalysis of illicit drug use in 42 outpatients with co-occurring substance use disorders and serious mental illness. METHODS: Up to 40 urine samples were submitted by each participant as part of a larger study investigating the efficacy of contingency management in persons with co-occurring disorders. Each sample was analyzed for the presence of amphetamine, methamphetamine, cocaine, marijuana, and opiates or their metabolites using onsite qualitative immunoassays. One onsite urinalysis was randomly selected from each participant for confirmatory gas chromatography-mass spectrometry (GC-MS) analyses. RESULTS: Agreement between immunoassay and GC-MS was calculated. Agreement was high, with 98% agreement for amphetamine, methamphetamine, opiate, and marijuana. Agreement for cocaine was 93%. CONCLUSIONS: Results of this pilot study support the use of onsite immunoassay screening cups as an assessment and outcome measure in adults with serious mental illness. SCIENTIFIC SIGNIFICANCE: Data suggest that onsite urinalysis screenings may be a helpful assessment tool for measuring clinical and research outcomes.