Adapting a Financial Incentives Intervention for Smoking Cessation with Alaska Native Families: Phase 1 Qualitative Research to Inform the Aniqsaaq (To Breathe) Study.

INTRODUCTION: Alaska Native and American Indian (ANAI) peoples in Alaska currently experience a disproportionate burden of morbidity and mortality from tobacco cigarette use. Financial incentives for smoking cessation are evidence-based, but a family-level incentive structure has not been evaluated. We used a community-based participatory research and qualitative approach to culturally adapt a smoking cessation intervention with ANAI families. METHODS: We conducted individual, semi-structured telephone interviews with 12 ANAI adults who smoke, 12 adult family members, and 13 Alaska Tribal Health System stakeholders statewide between November 2022-March 2023. Through content analysis, we explored intervention receptivity, incentive preferences, culturally aligned recruitment and intervention messaging, and future implementation needs. RESULTS: Participants were receptive to the intervention. Involving a family member was viewed as novel and aligned with ANAI cultural values of commitment to community and familial interdependence. Major themes included choosing a family member who is supportive and understanding, keeping materials positive and encouraging, and offering cash and non-cash incentives for family members to choose (e.g., fuel, groceries, activities). Participants indicated that messaging should emphasize family collaboration and that cessation resources and support tips should be provided. Stakeholders also reinforced that program materials should encourage the use of other existing evidence-based cessation therapies (e.g., nicotine replacement, counseling). CONCLUSIONS: Adaptations, grounded in ANAI cultural strengths were made to the intervention and recruitment materials based on participant feedback. Next steps include a beta-test for feasibility and a randomized controlled trial for efficacy. IMPLICATIONS: This is the first study to design and adapt a financial incentives intervention promoting smoking cessation among Alaska Native or American Indian (ANAI) peoples and the first to involve the family system. Feedback from this formative work was used to develop a meaningful family-level incentive structure with ANAI people who smoke and family members and ensure intervention messaging is supportive and culturally aligned. The results provide qualitative knowledge that can inform future family-based interventions with ANAI communities, including our planned randomized controlled trial of the intervention.

Feasibility of a telehealth-based contingency management intervention for alcohol use disorders using the phosphatidylethanol (PEth) 16:0/18:1 alcohol biomarker: a pilot randomized trial.

Background: Phosphatidylethanol (PEth) is a blood-based biomarker for alcohol consumption that can be self-collected and has high sensitivity, specificity, and a longer detection window compared to other alcohol biomarkers.Objectives: We evaluated the feasibility and acceptability of a telehealth-based contingency management (CM) intervention for alcohol use disorder (AUD) using the blood-based biomarker PEth to assess alcohol consumption.Methods: Sixteen adults (7 female, 9 male) with AUD were randomized to Control or CM conditions. Control participants received reinforcers regardless of their PEth levels. CM participants received reinforcers for week-to-week decreases in PEth (Phase 1) or maintenance of PEth consistent with abstinence (<20 ng/mL, Phase 2). Blood samples were self-collected using the TASSO-M20 device. Acceptability was assessed by retention in weeks. Satisfaction was assessed with the Client Satisfaction Questionnaire (CSQ-8) and qualitative interviews. The primary efficacy outcome was PEth-defined abstinence. Secondary outcomes included the proportion of visits with PEth-defined heavy alcohol consumption, negative urine ethyl glucuronide results, and self-reported alcohol use.Results: Retention averaged 18.6 ± 8.8 weeks for CM participants. CM participants reported high levels of satisfaction (CSQ-8, Mean = 30.3 ± 1.5). Interview themes included intervention positives, such as staff support, quality of life improvement, and accountability. 72% of PEth samples from CM participants were consistent with abstinence versus 34% for Control participants (OR = 5.0, p = 0.007). PEth-defined heavy alcohol consumption was detected in 28% of CM samples and 52% of Control samples (OR = 0.36, p = 0.159). CM participants averaged 1.9 ± 1.7 drinks/day versus 4.2 ± 6.3 for Control participants (p = 0.304).Conclusion: Results support the acceptability and satisfaction of a telehealth PEth-based CM intervention, though a larger study is needed to assess its efficacy [NCT04038021].

Lessons learned from statewide contingency management rollouts addressing stimulant use in the Northwestern United States.

Increases in stimulant drug use (such as methamphetamine) and related deaths creates an imperative for community settings to adopt evidence-based practices to help people who use stimulants. Contingency management (CM) is a behavioral intervention with decades of research demonstrating efficacy for the treatment of stimulant use disorder, but real-world adoption has been slow, due to well-known implementation barriers, including difficulty funding reinforcers, and stigma. This paper describes the training and technical assistance (TTA) efforts and lessons learned for two state-wide stimulant-focused CM implementation projects in the Northwestern United States (Montana and Washington). A total of 154 providers from 35 community-based service sites received didactic training in CM beginning in 2021. Seventeen of these sites, ten of eleven in Montana (90.9%) and seven of 24 in Washington (29.2%), went on to implement contingency management programs adherent to their state's established CM protocol and received ongoing TTA in the form of implementation coaching calls. These findings illustrate that site-specific barriers such as logistical fit precluded implementation in more than 50% of the trained sites; however, strategies for site-specific tailoring within the required protocol aided implementation, resulting in successful CM program launch in a diverse cross-section of service sites across the states. The lessons learned add to the body of literature describing CM implementation barriers and solutions.

The urgent need for contingency management among Tribal communities in the United States: Considerations for implementation, policy, and sovereignty.

In two randomized controlled trials, culturally adapted contingency management (i.e., incentives provided for substance-negative urine samples) was associated with reduced alcohol and drug use among geographically diverse American Indian and Alaska Native (AI/AN) adults. In response to interest in contingency management from other Tribal and AI/AN communities, our research team in collaboration with AI/AN behavioral health experts, translated the research into practice with new AI/AN community partners. Tenets of community-based participatory research were applied to develop, pilot, and refine contingency management training and implementation tools, and identify implementation challenges. In partnership with the AI/AN communities, four members of the university team developed tools and identified implementation and policy strategies to increase the successful uptake of contingency management in each location. Through our collaborative work, we identified policy barriers including inadequate federal funding of contingency management incentives and a need for further clarity regarding federal anti-kickback regulations. Adoption of contingency management is feasible and can strengthen Tribal communities' capacity to deliver evidence-based substance use disorder treatments to AI/AN people. Unfortunately, non-evidence-based limits to the use of federal funding for contingency management incentives discriminate against AI/AN communities. We recommend specific federal policy reforms, as well as other practical solutions for Tribal communities interested in contingency management.

Effects of a COVID-19 Public Health Lockdown on Drinking and Health Behavior Among Persons with HIV and with Unhealthy Alcohol use in Uganda.

To better understand the impact of Uganda's initial COVID-19 lockdown on alcohol use, we conducted a cross-sectional survey (August 2020-September 2021) among persons with HIV (PWH) with unhealthy alcohol use (but not receiving an alcohol intervention), enrolled in a trial of incentives to reduce alcohol use and improve isoniazid preventive therapy. We examined associations between bar-based drinking and decreased alcohol use, and decreased alcohol use and health outcomes (antiretroviral therapy [ART] access, ART adherence, missed clinic visits, psychological stress and intimate partner violence), during lockdown. Of 178 adults surveyed whose data was analyzed, (67% male, median age: 40), 82% reported bar-based drinking at trial enrollment; 76% reported decreased alcohol use during lockdown. In a multivariate analysis, bar-based drinking was not associated with greater decreases in alcohol use during lockdown compared to non-bar-based drinking (OR = 0.81, 95% CI: 0.31-2.11), adjusting for age and sex. There was a significant association between decreased alcohol use and increased stress during lockdown (adjusted ß = 2.09, 95% CI: 1.07-3.11, P < 0.010), but not other health outcomes.

An unexplored equity factor: differential beliefs and attitudes toward contingency management by providers' ethnicity.

BACKGROUND: Although considered one of the most effective interventions for substance use disorders (SUD), the widespread implementation of contingency management (CM) has remained limited. In more recent years there has been surge in the implementation of CM to address increasing rates of substance use. Prior studies at the provider-level have explored beliefs about CM among SUD treatment providers and have tailored implementation strategies based on identified barriers and training needs, to promote implementation of CM. However, there have been no implementation strategies that have actively sought to identify or address potential differences in the beliefs about CM that could be influenced by the cultural background (e.g., ethnicity) of treatment providers. To address this knowledge gap, we examined beliefs about CM among a sample of inpatient and outpatient SUD treatment providers. METHODS: A cross-sectional survey of SUD treatment providers was completed by 143 respondents. The survey asked respondents about their attitudes toward CM using the Contingency Management Beliefs Questionnaire (CMBQ). Linear mixed models examined the effect of ethnicity (non-Hispanic White and Hispanic) on CMBQ subscale (general barriers, training-related barriers, CM positive-statements) scores. RESULTS: Fifty-nine percent of respondents to the CMBQ self-identified as non-Hispanic White and 41% as Hispanic. Findings revealed that treatment providers who identified as Hispanic had significantly higher scores on the general barriers (p < .001) and training-related barriers (p = .020) subscales compared to the non-Hispanic White treatment providers. Post-hoc analyses identified differences in the endorsement of specific individual scale items on the general barriers (e.g., CM interventions create extra work for me) and training-related (e.g., I want more training before implementing CM) subscales. CONCLUSIONS: Dissemination and implementation strategies for CM need to consider equity-related factors at the provider-level that may be associated with the adoption and uptake of CM.

Concordance Between Point-of-Care Urine Ethyl Glucuronide Alcohol Tests and Self-Reported Alcohol Use in Persons with HIV in Uganda.

Screening and assessing alcohol use accurately to maximize positive treatment outcomes remain problematic in regions with high rates of alcohol use and HIV and TB infections. In this study, we examined the concordance between self-reported measures of alcohol use and point-of-care (POC) urine ethyl glucuronide (uEtG) test results among persons with HIV (PWH) in Uganda who reported drinking in the prior 3 months. For analyses, we used the screening data of a trial designed to examine the use of incentives to reduce alcohol consumption and increase medication adherence to examine the concordance between POC uEtG (300 ng/mL cutoff) and six measures of self-reported alcohol use. Of the 2136 participants who completed the alcohol screening, 1080 (50.6%) tested positive in the POC uEtG test, and 1756 (82.2%) self-reported using alcohol during the prior 72 h. Seventy-two percent of those who reported drinking during the prior 24 h had a uEtG positive test, with lower proportions testing uEtG positive when drinking occurred 24-48 h (64.7%) or 48-72 h (28.6%) prior to sample collection. In multivariate models, recency of drinking, number of drinks at last alcohol use, and Alcohol Use Disorders Identification Test - Consumption (AUDIT-C) score were associated with uEtG positivity. The highest area under the curve (AUC) for a uEtG positive test was for recency of drinking. Overall, we concluded that several measures of drinking were associated with POC uEtG positivity, with recency of drinking, particularly drinking within the past 24 h, being the strongest predictor of uEtG positivity.

Geographic Disparities in Access to Specialty Care Programs for Early Psychosis in Washington State.

Supported by the 10% set-aside funds in the Community Mental Health Block grant, distributed at the state level, coordinated specialty care (CSC) have been widely disseminated throughout the U.S. This study explores variations in the geographical accessibility of CSC programs by neighborhood level characteristics in Washington State. CSC locations were geocoded. Socioeconomic neighborhood deprivation (i.e., Area deprivation index) and rurality (i.e., Rural-Urban Commuting Area codes) were neighborhood level characteristics extracted from the 2018 American Community Survey. Geographic accessibility of CSC was assessed using a two-step floating catchment area technique and multilevel linear models were used to examine the association between specific neighborhood characteristics and geographic accessibility. The association between access and socioeconomically deprived neighborhoods varied differentially by neighborhood rurality (an interaction effect). Model estimates indicated that the least deprived, metropolitan neighborhoods had the best access (M = 0.38; CI: 0.34, 0.42) and rural neighborhoods in the second most deprived quartile had the worst access (M = 0.16; CI: 0.11, 0.21) to CSC. There was a clear decrease in accessibility for more rural neighborhoods, regardless of other neighborhood characteristics. In conclusions, findings provide important insight into how resource distribution contributes to geographic disparities in access to CSC. The use of spatial analytic techniques has the potential to identify specific neighborhoods and populations where there is a need to expand and increase availability of CSC to ensure access to rural and socioeconomically deprived neighborhoods.

Disparities in Access to Opioid Treatment Programs and Office-Based Buprenorphine Treatment Across the Rural-Urban and Area Deprivation Continua: A US Nationwide Small Area Analysis.

OBJECTIVES: To measure access to opioid treatment programs (OTPs) and office-based buprenorphine treatment (OBBTs) at the smallest geographic unit for which the Census Bureau publishes demographic and socioeconomic data (ie, block group) and to explore disparities in access to treatment across the rural-urban and area deprivation continua across the United States. METHODS: Access to OTPs and OBBTs at the block group in 2019 was quantified using an innovative 2-step floating catchment area technique that accounts for the supply of treatment facilities relative to the population size, proximity of facilities relative to the location of population in block groups, and time as a barrier within catchments. Block groups were stratified into tertiles based on the rural-urban continuum codes (metropolitan, micropolitan, small town, or rural) and area deprivation index (least-deprived, middle-deprived, most-deprived). The Integrated Nested Laplace Approximation approach was used for statistical analysis. RESULTS: Across the United States, 3329 block groups corresponding to 2 915 949 adults lacked access to OTPs within a 2-hour drive of their community and 130 block groups corresponding to 86 605 adults did not have access to OBBTs. Disparities in access to treatment were observed across the urban-rural and area deprivation continua including (1) lowest mean access score to OBBTs were found among most-deprived small towns, and (2) lower mean access score to OTPs were found among micropolitan and small towns. CONCLUSIONS: The results of this study revealed disparities in access to medication-assisted treatment. The findings call for creative initiatives and local and regional policies to develop to mitigate access problems.

Post-traumatic stress disorder among persons with HIV who engage in heavy alcohol consumption in southwestern Uganda.

BACKGROUND: We aimed to describe the prevalence of PTSD symptoms and its associated factors in persons living with HIV (PLWH) in Uganda who engage in heavy alcohol use. METHODS: We analyzed baseline data from the Drinkers Intervention to Prevent Tuberculosis study which enrolls PLWH with latent tuberculosis who engage in heavy alcohol consumption. Using the primary care Post Traumatic Stress Disorder (PTSD) screening scale from the DSM-5 (PC-PTSD-5), probable PTSD was defined as reporting ≥3 of 5 assessed symptoms. We conducted the Alcohol Use Disorders Identification Test-Consumption and assessed demographics, smoking, symptoms of depression, and spirituality/religiosity. RESULTS: Of 421 participants enrolled from 2018 through 2020, the majority (68.2%) were male, median age was 40 years (interquartile range [IQR]: 32-47), and median AUDIT-C score was 6 [IQR: 4-8]. Half (50.1%) of the participants reported ever experiencing a traumatic event, and 20.7% reported ≥3 symptoms of PTSD. The most commonly reported PTSD symptoms in the past 1 month in the entire sample were avoidance (28.3%), nightmares (27.3%), and being constantly on guard (21.6%). In multivariable logistic regression analyses, level of alcohol use was not associated with probable PTSD (adjusted odds ratio [AOR] for each AUDIT-C point: (1.02; 95% CI: 0.92-1.14; p = 0.69); however, lifetime smoking (AOR 1.89; 95% CI: 1.10-3.24) and reporting symptoms of depression (AOR 1.89; 95% CI: 1.04-3.44) were independently associated with probable PTSD. CONCLUSIONS AND RECOMMENDATIONS: A history of traumatic events and probable PTSD were frequently reported among persons who engage in heavy drinking, living with HIV in Uganda. Level of alcohol use was not associated with probable PTSD in this sample of PLWH with heavy alcohol use, however other behavioral and mental health factors were associated with probable PTSD. These data highlight the high prevalence of PTSD in this group, and the need for screening and interventions for PTSD and mental health problems.

Spatial access to opioid treatment program and alcohol and cannabis outlets: analysis of missed doses of methadone during the first, second, and third 90 days of treatment.

Background: The burden of access to opioid treatment programs (OTPs) may change as clients become eligible for take-home privileges. Our previous study showed clients who lived more than 10-miles away from an OTP were more likely to miss methadone doses during the first 30 days of treatment. Proximity to alcohol and cannabis outlets may also negatively influence treatment adherence.Objective: To examine the association between access to this OTP, alcohol and cannabis outlets, and the number of missed methadone doses during the first, second, and third 90 days of treatment.Methods: The number of missed methadone doses was calculated for 752, 689, and 584 clients who remained in treatment, respectively, for at least 3, 6, and 9 months (50% female). Distance between client's home and the OTP, alcohol, and cannabis outlets was measured. Generalized linear models were employed.Results: Shorter distance from a client's residence to the OTP was associated with a decreased number of missed methadone doses during the first 90 days of treatment. Shorter distance to the closest cannabis retail outlet was associated with an increased number of missed methadone doses during the first and second 90 days of treatment. Shorter distance to the closest off-premise alcohol outlet was associated with an increased number of missed methadone doses during the third 90 days of treatment.Conclusions: Improving spatial accessibility of OTPs are essential to ensure treatment opportunities are available for individuals so affected. Exploring to what extent residing in areas that facilitate alcohol and cannabis availability can influence treatment adherence is warranted.

Contingency management intervention targeting co-addiction of alcohol and drugs among American Indian adults: Design, methodology, and baseline data.

BACKGROUND/AIMS: American Indian adults have some of the highest alcohol abstinence rates compared to the overall US population. Despite this, many American Indian people are more likely to concurrently use alcohol and illicit drugs and are less likely to participate and remain in outpatient treatment for alcohol and other drug use compared to the general US population. There is limited knowledge about effective interventions targeting alcohol and drug co-addiction among American Indian adults. Contingency management is a behavioral intervention designed to increase drug abstinence by offering monetary incentives in exchange for drug and alcohol negative urine samples. We aim to evaluate and describe a culturally tailored contingency management intervention to increase alcohol and other drug abstinence among American Indian adults residing in a Northern Plains reservation. METHODS: This 2 × 2 factorial, randomized controlled trial currently includes 114 American Indian adults with alcohol and/or drug dependence who are seeking treatment. Participants were randomized into one of four groups that received (1) contingency management for alcohol, (2) contingency management for other drug, (3) contingency management for both substances, or (4) no contingency management for either substance. We present descriptive, baseline data to characterize the sample and describe the modified contingency management approach that is specific to the community wherein this trial was being conducted. RESULTS: The sample is 49.1% male, with an average age of 35.8 years (standard deviation = 10.4 years). At baseline, 43.0% of the sample tested positive for ethyl glucuronide, 50.9% of participants self-reported methamphetamine as their most used drug, 36.8% self-reported cannabis, and 12.3% self-reported prescription opiates as their most used drug. Among randomized participants, 47.4% tested positive for cannabis, 28.1% tested positive for methamphetamine, 16.7% tested positive for amphetamines, and 2.1% tested positive for opiates. CONCLUSION: This is the first study to examine a culturally tailored contingency management intervention targeting co-addiction of two substances among American Indian adults. By establishing a tribal-university partnership to adapt, implement, and evaluate contingency management, we will increase the literature on evidence-based addiction treatments and research, while improving trust for addiction interventions among American Indian communities through ongoing collaboration. Moreover, results have implications for the use of contingency management as an intervention for co-addiction in any population.

Homelessness predicts attrition but not alcohol abstinence in outpatients experiencing co-occurring alcohol dependence and serious mental illness.

BACKGROUND: Adults experiencing homelessness and serious mental illnesses (SMI) are at an increased risk of poor mental health and treatment outcomes compared with stably housed adults with SMI. The additional issue of alcohol misuse further complicates the difficulties of those living with homelessness and SMI. In this secondary data analysis, the authors investigated the impact of homelessness on attrition and alcohol use in a contingency management (CM) intervention that rewarded alcohol abstinence in outpatients with SMI. METHODS: The associations between housing status and attrition and alcohol abstinence during treatment, as assessed by ethyl glucuronide (EtG) urine tests, were evaluated in 79 adults diagnosed with alcohol dependence and SMI. RESULTS: Thirty-nine percent (n = 31) of participants reported being homeless at baseline. Individuals who were homeless were more likely to drop out of CM (n = 10, 62.5%) than those who were housed (n = 4, 16.7%), χ2(1) = 8.86, P < .05. Homelessness was not associated with attrition in the noncontingent control group. Accounting for treatment group and prerandomization EtG levels, neither the effect of housing status nor the interaction of housing status and group were associated with EtG-assessed alcohol abstinence during treatment. CONCLUSIONS: Individuals experiencing homelessness and co-occurring alcohol dependence and SMI receiving CM had higher rates of attrition, relative to those who were housed. Homelessness was not associated with differences in biologically assessed alcohol abstinence.

User Experience Evaluation of a Smoking Cessation App in People With Serious Mental Illness.

INTRODUCTION: Smoking rates among people with serious mental illness are 3 to 4 times higher than the general population, yet currently there are no smoking cessation apps specifically designed to address this need. We report the results of a User Experience (UX) evaluation of a National Cancer Institute smoking cessation app, QuitPal, and provide user centered design data that can be used to tailor smoking cessation apps for this population. METHODS: Two hundred forty hours of field experience with QuitPal, 10 hours of recorded interviews and task performances, usage logs and a self-reported usability scale, informed the results of our study. Participants were five individuals recruited from a community mental health clinic with a reported serious mental illness history. Performance, self-reports, usage logs and interview data were triangulated to identify critical usability errors and UX themes emerging from this population. RESULTS: Data suggests QuitPal has below average levels of usability, elevated time on task performances and required considerable amounts of guidance. UX themes provided critical information to tailor smoking cessation apps for this population, such as the importance of breaking down "cessation" into smaller steps and use of a reward system. CONCLUSIONS: This is the first study to examine the UX of a smoking cessation app among people with serious mental illness. Data from this study will inform future research efforts to expand the effectiveness and reach of smoking cessation apps for this highly nicotine dependent yet under-served population. IMPLICATIONS: Data from this study will inform future research efforts to expand the effectiveness and reach of smoking cessation apps for people with serious mental illness, a highly nicotine dependent yet under-served population.

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.

Association of co-occurring serious mental illness with emergency hospitalization in people with chronic kidney disease.

BACKGROUND/AIMS: Chronic kidney disease (CKD) and serious mental illness (SMI) are both associated with an increased risk for repeated hospitalization. The objective of this study was to determine if co-occurring SMI exacerbates the risk for subsequent hospitalization, particularly through the emergency department (ED), among people with CKD. METHODS: People hospitalized in Washington State from April 2006 to December 2008 were separated into cohorts with diagnoses of CKD (n = 31,166), SMI (defined by schizophrenia and/or mood disorder; n = 20,167) or CKD with co-occurring SMI (n = 717), and a reference cohort without either diagnosis (n = 548,532). Main outcomes were rehospitalization for condition(s) other than mental illness: (1) through the ED; (2) any admission, and (3) admission resulting in death. Cox regression was used to analyze time to main outcomes controlling for prespecified covariates associated with rehospitalization. RESULTS: The risk of rehospitalization via the ED was increased for people with CKD (hazard ratio, HR = 1.24, 95% confidence interval, CI = 1.21-1.28, p < 0.001) and co-occurring SMI (HR = 1.33, 95% CI = 1.29-1.38, p < 0.001) cohorts, but was significantly greater in the combined cohort (HR = 1.55, 95% CI = 1.40-1.73, p < 0.001). Similarly, the risk of any rehospitalization was increased for CKD (HR = 1.21, 95% CI = 1.17-1.25, p < 0.001) and co-occurring SMI (HR = 1.14, 95% CI = 1.11-1.17, p < 0.001) cohorts, while a significantly greater risk was observed for the combined cohort (HR = 1.36, 95% CI = 1.24-1.48, p < 0.001). The risk of rehospitalization resulting in death was not significantly increased in the combined cohort. CONCLUSION: In people with CKD, co-occurring SMI increased the risk of experiencing rehospitalization, particularly through the ED. Studies of strategies to address SMI in the CKD population are needed to mitigate the risk of repeat hospital admissions.

The effect of serious mental illness on the risk of rehospitalization among patients with diabetes.

BACKGROUND: Medical-surgical rehospitalizations within a month after discharge among patients with diabetes result in tremendous costs to the US health care system. OBJECTIVE: The study's aim was to examine whether co-morbid serious mental illness diagnoses (bipolar disorder, schizophrenia, or other psychotic disorders) among patients with diabetes are independently associated with medical-surgical rehospitalization within a month of discharge after an initial hospitalization. METHODS: This cohort study of all community hospitals in Washington state evaluated data from 82,060 adults discharged in the state of Washington with any International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis indicating diabetes mellitus between 2010 and 2011. Data on medical-surgical hospitalizations were obtained from the Washington State Comprehensive Hospital Abstract Reporting System. Co-morbid serious mental illness diagnoses were identified based on International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes indicating bipolar disorder, schizophrenia, or other psychotic disorders. Logistic regression analyses identified factors independently associated with rehospitalization within a month of discharge. Cox proportional hazard analyses estimated time to rehospitalization for the entire study period. RESULTS: After adjusting for demographics, medical co-morbidity, and characteristics of the index hospitalization, co-morbid serious mental illness diagnosis was independently associated with increased odds of rehospitalization within 1 month among patients with diabetes who had a medical-surgical hospitalization (odds ratio: 1.24, 95% confidence interval: 1.07, 1.44). This increased risk of rehospitalization persisted throughout the study period (up to 24 mo). CONCLUSIONS: Co-morbid serious mental illness in patients with diabetes is independently associated with greater risk of early medical-surgical rehospitalization. Future research is needed to define and specify targets for interventions at points of care transition for this vulnerable patient population.

Budget Impact Tool for Implementing Contingency Management for Co-occurring Alcohol Use Disorders and Serious Mental Illness.

OBJECTIVE: Contingency management (CM) is a behavioral intervention in which tangible incentives are provided to patients when they achieve a desired behavior (e.g., reducing or abstaining from alcohol use). The authors sought to describe the resource requirements and associated costs of various CM versions (usual, high magnitude, and shaping) tailored to a high-risk population with co-occurring serious mental illness and severe alcohol use disorder. METHODS: A microcosting analysis was conducted to identify the resource requirements of the different CM versions. This approach included semistructured interviews with site investigators, who also staffed the intervention. The resource costing method-multiplying the number of units of each resource utilized by its respective unit cost-was used to value the resources from a provider's perspective. All cost estimates were calculated in 2021 U.S. dollars. RESULTS: The cost of setting up a CM program was $6,038 per site. Assuming full capacity and 56% of urine samples meeting the requirement for receipt of the CM incentive, the average cost of 16 weeks of usual and shaping CM treatments was $1,119-$1,136 and of high-magnitude CM was $1,848-$1,865 per participant. CONCLUSIONS: A customizable tool was created to estimate the costs associated with various levels of treatment success and CM design features. After the trial, the tool will be updated and used to finalize per-participant cost for incorporation into a comprehensive economic evaluation. This costing tool will help a growing number of treatment providers who are interested in implementing CM with budgeting for and sustaining CM in their practices.