Paths to improving engagement among racial and ethnic minorities in addiction health services

Realigning theory with evidence to understand the role of care coordination in mental health services research

Current theoretical models intended to guide health services research and evaluation lack care coordination-its features and impacts. These aspects are critical for understanding the role of care coordination in healthcare use, quality, and outcomes. In this Focus article, we briefly review the well-known Andersen individual behavioral model (IBM) of healthcare use and the Donabedian health system and quality model (HSQM) together with recent practice-based evidence. We propose a new integrated theoretical model of healthcare and care coordination. The model can serve as a guide for future research to better understand the variation in care coordination services and delivery and its added value to improving mental health in different real-world settings.

The Value of Mechanistic Experiments to Target the Shared Neural Circuitry of Parenting and Addiction: The Potential for Video Feedback Interventions

Certain neural processes that underlie addiction are also central to parenting, notably stress and reward. Parenting interventions that incorporate the unique context of caregivers with addiction have demonstrated some success: However, real-world implementation of evidence-based interventions can be difficult with this population. Video feedback interventions are an especially promising approach to reach parents who experience barriers to participation, particularly caregivers with addiction. A translational neuroscientific approach to elucidating the mechanisms of change in these interventions will aid the delivery and success of this method and advance theory surrounding parenting in the context of addiction. Along these lines, we provide an example of one video feedback intervention, Filming Interactions to Nurture Development, that will serve as such a mechanistic experiment.

Gender disparities in access and retention in outpatient methadone treatment for opioid use disorder in low-income urban communities

The purpose of this study was to detect and understand gender disparities in access and retention among outpatient methadone treatment programs located in low-income urban communities in Los Angeles, California. The study collected client- and program-level data in 4 waves in 2011, 2013, 2015, and 2017 from 34 publicly funded methadone treatment programs serving 11,169 clients with opioid use disorder (OUD). The sample included 29.8% female and 70.2% male clients, where 10.6% identified as Black or African American, 41.5% as Latino, 44.2% as non-Latino white, and 3.8% as Other. We conducted two multilevel negative binomial regression models to examine direct and moderated relationships related to both access (days on the waitlist) and retention (days in treatment) while accounting for clients clustered within programs. Gender disparities existed in both access and retention where women spent more time than men waiting to enter treatment but then remained in treatment longer. Further, female clients identifying as African American, Latino, and Other were at greater risk for shorter treatment duration than those who identified as non-Latino white and men. Overall, OUD clients receiving methadone treatment in low-income neighborhoods experienced barriers to access and retention in treatment associated with mental illness, family responsibilities, and use severity. OUD clients with MediCal insurance eligibility were consistently more likely to gain access to and remain in methadone treatment. Overall, findings call for improving treatment access and retention for women with OUD who receive methadone in outpatient methadone treatment programs through comprehensive, gender-specific, and evidence-based programming.

Pathways to housing stability and viral suppression for people living with HIV/AIDS: Findings from the Building a Medical Home for Multiply Diagnosed HIV-positive Homeless Populations initiative

Background

People with HIV with co-occurring substance use and mental health diagnoses who are unstably housed have poorer outcomes for retention in care and viral suppression. Navigation models are a potential strategy to help this vulnerable population obtain the necessary medical and non-medical services across multiple service systems. The Health Resources and Services Administration’s Special Projects of National Significance: “Building a Medical Home for Multiply-Diagnosed HIV-positive Homeless Populations initiative 2012–2017 found that navigation models may be an effective intervention to support people with HIV with unstable housing improve HIV health outcomes. However, there is limited information about the mechanisms by which this intervention works. In this article, we explore the participant and program factors for achieving stable housing at 6 months and how these factors influence HIV health outcomes.

Methods and findings

This was a prospective study of 471 unstably housed people with HIV enrolled in a navigation intervention across nine sites in the United Stated from 2013–2017. All sites provided HIV primary medical care. Eight sites were located in urban areas and one site served a predominantly rural population. Two sites were federally qualified health centers, three were city or county health departments, one site was a comprehensive HIV/AIDS service organization, and three sites were outpatient or mobile clinics affiliated with a university -based or hospital system. Data were collected via interview and medical chart review at baseline, post 6 and 12 months. Type and dose of navigation activities were collected via a standardized encounter form. We used a path analysis model with housing stability at 6 months as the mediator to examine the direct and indirect effects of participant’s socio-demographics and risk factors and navigation on viral suppression and retention in care at 12 months. Housing stability at 6 months was associated with male gender, younger age, viral suppression at baseline, having a lower risk for opiate use, recent homelessness, lower risk of food insecurity, and a longer length of time living with HIV. Participants who increased self-efficacy with obtaining help by 6 months had significantly higher odds of achieving housing stability. Stable housing, fewer unmet needs, moderate to high risk for opiate use, and viral suppression at baseline had a direct effect on viral suppression at 12 months. The intensity of navigation contact had no direct effect on housing stability and a mixed direct effect on viral suppression. Recent diagnosis with HIV, women, greater social support, increased self-efficacy and higher intensity of navigation contact had a direct effect on improved retention in HIV primary care at 12 months.

Conclusions

In this sample of people with HIV who are experiencing homelessness, housing stability had a significant direct path to viral suppression. Navigation activities did not have a direct effect on the path to housing stability but were directly related to retention in care. These results identify key populations and factors to target resources and policies for addressing the health and social unmet needs of people with HIV to achieve housing stability and HIV health outcomes.

Program Capacity to Deliver Prevention Services to Children of Adult Clients Receiving Substance Use Disorder Treatment

Children whose parents have a history of substance use are at elevated risk of developing substance use disorders (SUDs) and related debilitating behaviors. Although specialty treatment programs are uniquely positioned to deliver prevention care to children of adult clients, these programs may have limited capacity to implement prevention and early intervention care services, particularly in racial and ethnic minority communities. We merged data from program surveys and client records collected in 2015 to examine the extent to which program capacity factors are associated with the odds of delivering prevention and early intervention services for children of adult clients attending outpatient SUD treatment in low-income minority communities in Los Angeles County, California. Our analytic sample consisted of 16,712 clients embedded in 82 programs. Our results show that 85% of these programs reported delivering prevention care services, while 71% of programs delivered early intervention services. Programs with organizational climates supporting change and those that served a high number of clients annually were more likely to implement both prevention and early intervention practices. Programs accepting Medicaid payments and serving clients whose primary drug was marijuana were more than three times as likely to implement prevention services. Overall, our findings suggest both program- and client-level characteristics are associated with delivering preventive care offered to children of adult clients receiving SUD treatment in communities of color. As Medicaid has become a major payor of SUD treatment services and marijuana use has been legalized in California, findings identify capacity factors to deliver public health prevention interventions in one of the nation's largest public SUD treatment systems.

Incentives in a public addiction treatment system: Effects on waiting time and selection

Program-level financial incentives are used by some payers as a tool to improve quality of substance use treatment. However, evidence of effectiveness is mixed and performance contracts may have unintended consequences such as creating barriers for more challenging clients who are less likely to meet benchmarks. This study investigates the impact of a performance contract on waiting time for substance use treatment and client selection. Admission and discharge data from publicly funded Maine outpatient (OP) and intensive outpatient (IOP) substance use treatment programs (N = 38,932 clients) were used. In a quasi-experimental pre-post design, pre-period (FY 2005-2007) admission data from incentivized (IC) and non-incentivized (non-IC) programs were compared to post-period (FY 2008-2012) using propensity score matching and multivariate difference-in-difference regression. Dependent variables were waiting time (incentivized) and client selection (severity: history of mental disorders and substance use severity, not incentivized). Despite financial incentives designed to reduce waiting time for substance use treatment among state-funded outpatient programs, average waiting time for treatment increased in the post period for both IC and non-IC groups, as did client severity. There were no significant differences in waiting time between IC and non-IC groups over time. Increases in client severity over time, with no group differences, indicate that programs did not restrict access for more challenging clients. Adequate funding and other approaches to improve quality may be beneficial.

Criminal justice measures for economic data harmonization in substance use disorder research

BACKGROUND

The consequences of substance use disorders (SUDs) are varied and broad, affecting many sectors of society and the economy. Economic evaluation translates these consequences into dollars to examine the net economic impact of interventions for SUD, and associated conditions such as HCV and HIV. The nexus between substance use and crime makes criminal justice outcomes particularly significant for estimating the economic impact of SUD interventions, and important for data harmonization.

METHODS

We compared baseline data collected in six NIDA-funded Seek, Test, Treat and Retain (STTR) intervention studies that enrolled HIV-infected/at-risk individuals with SUDs (total n = 3415). Criminal justice measures included contacts with the criminal justice system (e.g., arrests) and criminal offenses. The objective was to develop a list of recommended measures and methods supporting economic data harmonization opportunities in HIV and SUD research, with an initial focus on crime-related outcomes.

RESULTS

Criminal justice contacts and criminal offenses were highly variable across studies. When measures grouped by offense classifications were compared, consistencies across studies emerged. Most individuals report being arrested for property or public order crimes (> 50%); the most commonly reported offenses were prostitution/pimping, larceny/shoplifting, robbery, and household burglary.

CONCLUSIONS

We identified four measures that are feasible and appropriate for estimating the economic consequences of SUDs/HIV/HCV: number of arrests, number of convictions, days of incarceration, and times committing criminal offenses, by type of offense. To account for extreme variation, grouping crimes by offense classification or calculating monthly averages per event allows for more meaningful comparisons across studies.