It takes a village: A pilot study of a group telehealth intervention for support persons affected by opioid use disorder

INTRODUCTION

Opioid use disorder (OUD) has devastating effects on individuals, families, and communities. The Community Reinforcement and Family Training (CRAFT) is a Support Person (SP)-focused intervention that aims to increase SPs' communication strategies, positive reinforcement/rewards, and social support. This pilot study, called eINSPIRE (INtegrating Support Persons Into REcovery), adapted CRAFT for delivery via group telehealth. The aims were to evaluate the feasibility, acceptability, and preliminary effectiveness of this intervention on patient buprenorphine retention and SP mental health.

METHODS

The study recruited patients receiving buprenorphine treatment in a primary care setting across five community health centers with their SP (N = 100 dyads). SP participants were randomly assigned to receive usual care (UC) or the eINSPIRE intervention. We interviewed Patients and SPs at baseline and three months later. The study collected patient buprenorphine retention data from the electronic medical record three months post-baseline.

RESULTS

About 88 % (656/742) of potentially eligible patients were able to nominate a SP and 69 % (100/145) of nominated SPs were eligible and consented to the study. eINSPIRE groups had low reach (25 % of SPs attended), but high exposure (M = 7 of 10 sessions attended) and acceptability (classes helped them with their patient's OUD). The proportion of eINSPIRE patients (68 %) and UC patients (53 %) retained on buprenorphine at follow-up were similar (p = 0.203). SPs in both conditions reported similar reductions in their depression, anxiety, and impairment symptoms.

CONCLUSIONS

Preliminary data suggest that eINSPIRE groups may not be feasible in primary care without further adaptations for this population. A future study with a larger sample size is needed to elucidate the observed distribution differences in buprenorphine retention. Future research should also explore methods to reduce barriers to SP session attendance to improve the reach of this evidence-based intervention.

Comparative effectiveness of individual versus family-based substance use treatment on adolescent self-injurious thoughts and behaviors

INTRODUCTION

Self-injurious thoughts and behaviors (SITB) are of increasing concern among adolescents, especially those who use substances. Some evidence suggests that existing evidence-based substance use treatments (EBTs) could impact not only their intended substance use targets but also SITB. However, which types of substance use treatments may have the greatest impact on youth SITB is not yet clear. Based on prior literature showing that family support and connection may buffer youth from SITB, we initially hypothesized that family-based EBTs would show greater improvement in SITB compared to those receiving individually focused EBTs and that the size of the effects would be small given the comparison between two active, evidence-based interventions, and base rates of SITB.

METHODS

In a sample of 2893 youth in substance use treatment, we compared the effectiveness of individually and family-based EBTs in reducing SITBs. The study used entropy balancing and regression modeling to balance the groups on pre-treatment characteristics and examine change in outcomes over a one-year follow-up period.

RESULTS

Both groups improved in self-injury and suicide attempts over the one-year study period, but only youth in individual treatment improved in suicidal ideation. However, the study found no significant difference between the changes over time in the two groups for any outcome. As expected, effect sizes were small and power was constrained in this study given the rarity of the outcomes, but effect sizes are similar to those observed with substance use outcomes.

CONCLUSIONS

The results provide important exploratory evidence on the potential relative effectiveness of these two treatments for SITBs. This study supports prior findings that EBTs for youth substance use may help to improve SITB and suggests that different treatment formats (individual or family-based) could result in different benefits for SITB outcomes.

Causal inference under interference with prognostic scores for dynamic group therapy studies

Group therapy is a common treatment modality for behavioral health conditions. Patients often enter and exit groups on an ongoing basis, leading to dynamic therapy groups. Examining the effect of high versus low session attendance on patient outcomes is a research question of interest. However, there are several challenges to identifying causal effects in this setting, including the lack of randomization, interference among patients, and the interrelatedness of patient participation. Dynamic therapy groups motivate a unique causal inference scenario, as the treatment statuses are completely defined by the patient attendance record for the therapy session, which is also the structure inducing interference. We adopt the Rubin causal model framework to define the causal effect of high versus low session attendance of group therapy at both the individual patient and peer levels. We propose a strategy to identify individual, peer, and total effects of high attendance versus low attendance on patient outcomes by the prognostic score stratification. We examine performance of our approach via simulation and apply it to data from a group cognitive behavioral therapy trial for treating depression among patients in a substance use disorders treatment setting.

Expanding outcomes when considering the relative effectiveness of two evidence-based outpatient treatment programs for adolescents

The current study seeks to advance understanding about how to address substance use and co-occurring mental health problems in adolescents. Specifically, we compared the effectiveness of two evidence-based treatment programs (Motivational Enhancement Treatment/Cognitive Behavior Therapy, 5 Sessions [MET/CBT5] and Adolescent Community Reinforcement Approach [A-CRA]) for both substance use and mental health outcomes (i.e., crossover effects). We used statistical methods designed to approximate randomized controlled trials when comparing nonequivalent groups using observational study data. Our methods also included an assessment of the potential impact of omitted variables. We found that after applying balancing weighting to ensure similarity of the baseline samples (given the nonrandomized study design), both groups significantly improved on the two substance use outcomes (days abstinent and percent of youth in recovery) and on the two mental health outcomes (post-traumatic stress disorder (PTSD) symptoms and general emotional problems). Youth in A-CRA were significantly more likely to be in recovery at the 3-month follow-up compared to youth in MET/CBT5, but the size of this effect was very small. Youth receiving MET/CBT5 appeared to show significantly more improvement in the two mental health measures compared to youth in A-CRA, though these effect sizes were also very small. The findings indicate that adolescents with co-occurring substance use and mental health problems improve on both substance use and mental health outcomes with both treatments even though they are not specifically targeting mental health problems.

Are value-based incentives driving behavior change to improve value?

OBJECTIVES

To understand physician organization (PO) responses to financial incentives for quality and total cost of care among POs that were exposed to a statewide multipayer value-based payment (VBP) program, and to identify challenges that POs face in advancing the goals of VBP.

STUDY DESIGN

Semistructured qualitative interviews and survey.

METHODS

We drew a stratified random sample of 40 multispecialty California POs (25% of the POs that were eligible for incentives). In-person interviews were conducted with physician leaders and a survey was administered on actions being taken to reduce costs and redesign care and to discuss the challenges to improving value. We performed a thematic analysis of interview transcripts to identify common actions taken and challenges to reducing costs.

RESULTS

VBP helps to promote care delivery transformation among POs, although efforts varied across organizations. Investments are occurring primarily in strategies to control hospital costs and redesign primary care, particularly for chronically ill patients; specialty care redesign is largely absent. Physician payment incentives for value remain small relative to total compensation, with continued emphasis on productivity. Challenges cited include the lack of a single enterprisewide electronic health records platform for information exchange, limited ability to influence specialists who were not exclusive to the organization, lack of payer cost and utilization data to manage costs, inability to recoup care redesign investments given the small size of VBP incentives, and lack of physician cost awareness.

CONCLUSIONS

Transformation could be advanced by strengthening financial incentives for value; engaging specialists in care redesign and delivering value; enhancing partnerships among POs, hospitals, and payers to align quality and cost actions; strengthening information exchange across providers; and applying other strategies to influence physician behavior.

Chasing balance and other recommendations for improving nonparametric propensity score models

In this article, we carefully examine two important implementation issues when estimating propensity scores using generalized boosted models (GBM), a promising machine learning technique. First, we examine which of the following methods for tuning GBM lead to better covariate balance and inferences about causal effects: pursuing covariate balance between the treatment groups or tuning the propensity score model on the basis of a model fit criterion. Second, we examine how well GBM can handle irrelevant covariates that are included in the estimation model. We find that chasing balance rather than model fit when estimating propensity scores yielded better covariate balance and more accurate treatment effect estimates. Additionally, we find that adding irrelevant covariates to GBM increased imbalance and bias in the treatment effects. The findings from this paper have useful implications for other work focused on improving methods for estimating propensity scores.

The impact of fathers on maltreated youths' mental health

Men are increasingly the heads of single parent households, yet are often excluded from child welfare research and practice. To better serve all families in the child welfare system, it is necessary to understand the impact of primary caregiving men on children's wellbeing. In this study we investigated the longitudinal effects of primary caregiving fathers' mental health and substance use on child mental health, and examined possible differences by child age and gender. Regression analyses were conducted with the sample of 322 youth living with a male primary caregiver at the first wave of data collection from the National Survey of Child and Adolescent Wellbeing-II (NSCAW-II). We found that father depression at baseline consistently predicted child mental health outcomes three years later, even after accounting for demographics and baseline child mental health. Surprisingly, fathers' substance use did not predict child mental health, and interactions with child age and gender were not significant. Our findings are consistent with a small but growing literature suggesting that efforts to improve engagement of and attention to fathers within research, clinical and policy efforts are likely to be worthwhile.

Noncommissioned Officers' Perspectives on Identifying, Caring for, and Referring Soldiers and Marines at Risk of Suicide

OBJECTIVE

Noncommissioned officers (NCOs) in the U.S. Army and U.S. Marine Corps were surveyed to identify their ability and willingness to identify, intervene on behalf of, and refer fellow soldiers and marines at risk of suicide.

METHODS

A total of 1,184 Army soldiers and 796 marines completed surveys. Descriptive statistics were collected, and regression analyses comparing the groups were conducted.

RESULTS

Thirty-seven percent of marines and 40% of Army soldiers reported that they could use more suicide prevention training. Compared with trained civilians, NCOs reported greater efficacy to intervene with at-risk peers, but they also reported relatively more reluctance to intervene. Close to 40% of NCOs believed that they would be held responsible for a service member's suicide if they had asked the service member about suicidal thoughts before the suicide occurred. Chaplains were the preferred referral source, primarily because of the confidentiality they afford.

CONCLUSIONS

Suicide prevention training for NCOs should focus on strategies for asking about suicide risk, assuring soldiers and marines that they will not be blamed for the suicides of fellow service members, and encouraging referrals. These results can help improve suicide prevention programs in the Army and Marine Corps, including whether current policies may need to be changed to optimize NCOs' ability to identify, intervene on behalf of, and refer service members at risk of suicide.