Implementing integrated services in routine behavioral health care: primary outcomes from a cluster randomized controlled trial

Design, implementation and preliminary results of a type-2 hybrid cluster-randomized trial of integrating screening and treatment for major depressive disorder into specialty clinics providing opioid agonist therapies in Ukraine

INTRODUCTION

Ukraine has a high prevalence of co-occurring disorders (COD), defined as having both substance use (SUD) and psychiatric disorders. Major depressive disorder (MDD) is the most prevalent psychiatric disorder among people with SUD. People with COD experience poor health outcomes, and international agencies propose integrated COD care. In Ukraine, treatment for SUD is delivered in specialized substance use clinics, without providing any other medical services for comorbidities, including MDD. Here we present the protocol, along the with the preliminary results of the MEDIUM project, including observations over the first 6 months.

METHODS

A cluster-randomized type-2 hybrid trial was conducted to integrate MDD treatment into specialty clinics providing opioid agonist therapies (OAT) in Ukraine. Twelve clinics in four regions underwent randomization to control (N = 1) vs experimental arms (N = 2) in each region. Clinicians at experimental sites received tele-education through modified project ECHO using a facilitated screening, evaluation, and treatment algorithm of depression, with or without financial incentives. Service-, patient- and provider-level data were collected for the analysis every 6 months for 24 months.

PRELIMINARY RESULTS

For service delivery outcomes, 4421 patients enrolled on OAT across all sites were assessed for MDD for screening (76.7%), evaluation with diagnosis (43.5%) and treatment (30.7%) for MDD; 13.8% continued treatment at least for 6 months. For patient-level outcomes, 1345 patients and 54 providers participated in serial surveys every six months.

CONCLUSION

This study will be the first to explore integrated COD care in Ukraine and generate evidence on effective service integration and delivery strategies for people with COD receiving treatment at substance use clinics with broader implications for Eastern Europe and Central Asia region.

Adapting the stages of implementation completion to an evidence-based implementation strategy: The development of the NIATx stages of implementation completion

Background

Dissemination and implementation frameworks provide the scaffolding to explore the effectiveness of evidence-based practices (EBPs) targeting process of care and organizational outcomes. Few instruments, like the stages of implementation completion (SIC) examine implementation fidelity to EBP adoption and how organizations differ in their approach to implementation. Instruments to measure organizational competency in the utilization of implementation strategies are lacking.

Method

An iterative process was utilized to adapt the SIC to the NIATx implementation strategies. The new instrument, NIATx-SIC, was applied in a randomized controlled trial involving 53 addiction treatment agencies in Washington state to improve agency co-occurring capacity. NIATx-SIC data were reported by state staff and external facilitators and through participating agency documentation. Proportion and duration scores for each stage and phase of the NIATx-SIC were calculated for each agency. Competency was assessed using the NIATx fidelity tool. Comparisons of proportion, duration, and NIATx activities completed were determined using independent sample t-tests by agency competency level.

Results

The NIATx-SIC distinguished between agencies achieving competency (n  =  23) and those not achieving competency (n  =  26). Agencies achieving competency completed a greater proportion of implementation phase activities and had a significantly longer Stage 7 duration. These agencies participated in significantly more individual and group coaching calls, attended more in-person meetings, implemented more change projects, and spent approximately 64 more days, on average, engaging in all NIATx activities.

Conclusions

Organizational participation in dissemination and implementation research requires a significant investment of staff resources. The inability of an organization to achieve competency when utilizing a set of implementation strategies waste an opportunity to institutionalize knowledge of how to apply implementation strategies to future change efforts. The NIATx-SIC provides evidence that competency is not an attribute of the organization but rather a result of the application of the NIATx implementation strategies to improve agency co-occurring capacity.

Trial Registration

ClinicalTrials.gov, NCT03007940. Registered January 2, 2017, https://clinicaltrials.gov/ct2/show/NCT03007940.

Stepped implementation-to-target: a study protocol of an adaptive trial to expand access to addiction medications

Background

In response to the US opioid epidemic, significant national campaigns have been launched to expand access to `opioid use disorder (MOUD). While adoption has increased in general medical care settings, specialty addiction programs have lagged in both reach and adoption. Elevating the quality of implementation strategy, research requires more precise methods in tailoring strategies rather than a one-size-fits-all-approach, documenting participant engagement and fidelity to the delivery of the strategy, and conducting an economic analysis to inform decision making and policy. Research has yet to incorporate all three of these recommendations to address the challenges of implementing and sustaining MOUD in specialty addiction programs.

Methods

This project seeks to recruit 72 specialty addiction programs in partnership with the Washington State Health Care Authority and employs a measurement-based stepped implementation-to-target approach within an adaptive trial design. Programs will be exposed to a sequence of implementation strategies of increasing intensity and cost: (1) enhanced monitoring and feedback (EMF), (2) 2-day workshop, and then, if outcome targets are not achieved, randomization to either internal facilitation or external facilitation. The study has three aims: (1) evaluate the sequential impact of implementation strategies on target outcomes, (2) examine contextual moderators and mediators of outcomes in response to the strategies, and (3) document and model costs per implementation strategy. Target outcomes are organized by the RE-AIM framework and the Addiction Care Cascade.

Discussion

This implementation project includes elements of a sequential multiple assignment randomized trial (SMART) design and a criterion-based design. An innovative and efficient approach, participating programs only receive the implementation strategies they need to achieve target outcomes. Findings have the potential to inform implementation research and provide key decision-makers with evidence on how to address the opioid epidemic at a systems level.

Trial registration

This trial was registered at ClinicalTrials.gov (NCT05343793) on April 25, 2022.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13012-022-01239-y.

Wait No Longer: Reducing Medication Wait-Times for Individuals with Co-Occurring Disorders

Objective: Community addiction treatment agencies have utilized Network for the Improvement of Addiction Treatment (NIATx), a proven implementation strategy, to reduce appointment wait-times. However, its effectiveness at reducing medication access wait-times has not been explored. Thus, we conducted an exploratory analysis to evaluate the impact of the NIATx implementation strategies on reduced wait-times to addiction, psychotropic or both medications for individuals with co-occurring disorders (COD). Methods: In a cluster-randomized waitlist control group design, community addiction treatment agencies (n = 49) were randomized to receive the NIATx strategy (Cohort 1, n = 25) or to a Waitlist control (Cohort 2, n = 24). All agencies had a 12-month active intervention period. The primary outcome was the medication encounter wait-time. A univariate general linear model analysis utilizing a logarithmic (log10) transformation examined medication wait-times improvements. Results: The intent-to-treat analysis for psychotropic medications and both medications (reflecting integrated treatment) showed significant main effects for intervention and time, especially comparing Baseline and Year 1 to Year 2. Conversely, only the main effect for time was significant for addiction medications. Wait-time reductions in Cohort 1 agencies was delayed and occurred in the sustainment phase. Wait-times to a psychotropic, addiction, or both medications encounter declined by 3 days, 4.9 days, and 6.8 days, respectively. For Cohort 2 agencies, reduced wait-times were seen for psychotropic (3.4 days), addiction (6 days), and both medications (4.9 days) during their active implementation period. Same- or next-day medication access also improved. Conclusions: NIATx implementation strategies reduced medication encounter wait-times but timing of agency improvements varied. Despite a significant improvement, a three-week wait-time to receive integrated pharmacological interventions is clinically suboptimal for individuals with a COD in need of immediate intervention. Community addiction treatment agencies should identify barriers and implement changes to improve medication access so that their patients "wait no longer" to receive integrated treatment and medications for their COD.

Sustainment of Integrated Care in Addiction Treatment Settings: Primary Outcomes From a Cluster-Randomized Controlled Trial

OBJECTIVE

Integrated treatment services are the gold standard for addressing co-occurring mental and substance use disorders, yet they are not readily available. The Network for the Improvement of Addiction Treatment (NIATx) was hypothesized to be an effective strategy to implement and sustain integrated mental health and substance use care in addiction treatment programs. This study examined sustainment of integrated services for up to 2 years after the active implementation phase.

METHODS

The effectiveness of NIATx strategies to implement and sustain integrated services was evaluated by using a cluster-randomized, waitlist control group design. Forty-nine addiction treatment organizations were randomly assigned to either NIATx1 (active implementation strategy) or NIATx2 (waitlist control). The Dual Diagnosis Capability in Addiction Treatment Index was used to evaluate organizations' capability to provide integrated care. The NIATx Stages of Implementation Completion scale was used to assess participation in and adherence to the NIATx implementation process. Linear mixed-effects modeling was used to evaluate changes from baseline to end of the sustainment period.

RESULTS

Both cohorts sustained their capability to provide integrated treatment services. Both groups achieved successful implementation and sustained integrated services to a similar degree, regardless of sustainment year. Sustainment did not vary as a function of NIATx adherence.

CONCLUSIONS

The delivery of integrated treatment services was sustained for 2 years after receipt of active implementation support. Future research should consider how contextual factors may predict, mediate, and moderate sustainment outcomes.

The Effect of Intensive Implementation Support on Fidelity for Four Evidence-Based Psychosis Treatments: A Cluster Randomized Trial

PURPOSE

Service providers need effective strategies to implement evidence-based practices (EBPs) with high fidelity. This study aimed to evaluate an intensive implementation support strategy to increase fidelity to EBP standards in treatment of patients with psychosis.

METHODS

The study used a cluster randomized design with pairwise assignment of practices within each of 39 Norwegian mental health clinics. Each site chose two of four practices for implementation: physical health care, antipsychotic medication management, family psychoeducation, illness management and recovery. One practice was assigned to the experimental condition (toolkits, clinical training, implementation facilitation, data-based feedback) and the other to the control condition (manual only). The outcome measure was fidelity to the EBP, measured at baseline and after 6, 12, and 18 months, analyzed using linear mixed models and effect sizes.

RESULTS

The increase in fidelity scores (within a range 1-5) from baseline to 18 months was significantly greater for experimental sites than for control sites for the combined four practices, with mean difference in change of 0.86 with 95% CI (0.21; 1.50), p = 0.009). Effect sizes for increase in group difference of mean fidelity scores were 2.24 for illness management and recovery, 0.68 for physical health care, 0.71 for antipsychotic medication management, and 0.27 for family psychoeducation. Most improvements occurred during the first 12 months.

CONCLUSIONS

Intensive implementation strategies (toolkits, clinical training, implementation facilitation, data-based feedback) over 12 months can facilitate the implementation of EBPs for psychosis treatment. The approach may be more effective for some practices than for others.

The Integrating Medications for Addiction Treatment (IMAT) Index: A measure of capability at the organizational level

Primary care provides a treatment opportunity for many persons with opioid use disorder (OUD). The push to integrate and expand reach and adoption of medications for opioid use disorder (MOUD) within primary care has been a major focus of national, state and health systems endeavors. To guide high capability MOUD practice, we introduce the Integrating Medications for Addiction Treatment (IMAT) Index. The research team has developed IMAT along similar lines to other organizational measures of integrated services capability. We present the development and validation of the measure, and suggest its applicability for systems and organizations, as well as for process improvement and implementation research. Forty-one primary care clinics completed the IMAT at two time points: baseline and 9-month follow-up. Findings support the IMAT Index as psychometrically acceptable and pragmatically useful. It has good internal consistency, as well as concurrent and predictive validity. Changes in IMAT scores between baseline and follow-up significantly predicted increases in proportion of patients on MOUD. The IMAT has the potential to support both scientific and public health care activities.

Improving Medication Access within Integrated Treatment for Individuals with Co-Occurring Disorders in Substance Use Treatment Agencies

BACKGROUND

The best approach to provide comprehensive care for individuals with co-occurring disorders (CODs) related to substance use and mental health is to address both disorders through an integrated treatment approach. However, only 25% of behavioral health agencies offer integrated care and less than 7% of individuals who need integrated treatment receive it. A project used a cluster-randomized waitlist control group design to evaluate the effectiveness of Network for the Improvement of Addiction Treatment (NIATx) implementation strategies to improve access to addiction and psychotropic medications.

METHODS

This study represents a secondary analysis of data from the NIATx project. Forty-nine agencies were randomized to Cohort1 (active implementation group, receiving the NIATx strategy [n=25]) or Cohort2 (waitlist control group [n=24]). Data were collected at three time points (Baseline, Year1 and Year2). A two-level (patient within agency) multinomial logistic regression model investigated the effects of implementation strategy condition on one of four medication outcomes: both medication types, only psychotropic medication, only addiction medication, or neither medication type. A per-protocol analysis included time, NIATx fidelity, and agency focus as predictors.

RESULTS

The intent-to-treat analysis found a statistically significant change in access to addiction versus neither medication, but Cohort1 compared to Cohort2 at Year1 showed no differences. Changes were associated with the experimental intervention and occurred in the transition from Year 1 to Year 2, where greater increases were seen for agencies in Cohort2 versus Cohort1. The per-protocol analysis showed increased access to both medications and addiction medications from pre- to post-intervention for agencies in both cohorts; however, differences in change between high- and low-implementation agencies were not significant.

CONCLUSIONS

Access to integrated services for people with CODs is a long-standing problem. NIATx implementation strategies had limited effectiveness in improving medication access for individuals with CODs. Implementation strategy adherence is associated with increased medication access.

Suicide among people treated for drug use disorders: a Danish national record-linkage study

Background

Substance use disorders are a major risk factor for suicide. However, less is known about specific risk factors for suicide in people with substance use disorders.

Methods

This population cohort study assessed suicide among people treated for drug use disorders in Denmark 2000–2010, and described risk factors for completed suicide. Data from 27,942 individuals enrolled in treatment were linked to national registers and matched with controls without drug use disorder and with (n = 138,136) or without psychiatric history (n = 1574). Competing risk regression was used to identify risk factors of completed suicide.

Results

There were 163 suicides among patients with a history of drug treatment (0.6% of patients). Increased risk was associated with younger age at enrolment (hazard ratio [HR] = 0.97, 95% confidence interval (CI): 0.95, 0.98), history of psychiatric care (HR = 1.96, CI 95%: 1.39, 2.77), opioid use (HR = 1.81, 95% CI: 1.23, 2.68), and alcohol use (HR = 1.56, 95% CI: 1.09, 2.23). Lower risk was associated with cannabis use (HR = 0.69, 95% CI: 0.50, 0.96). Compared with age- and gender-matched controls without a history of treatment for substance use disorders or recent psychiatric care, the standardized mortality ratio due to suicide was 7.13 for people with drug use disorder without a history of psychiatric care (95% CI: 5.81, 8.44), 13.48 for people with drug use disorder and psychiatric history (95% CI: 9.75, 17.22), and 13.61 for people with psychiatric history only (95% CI: 6.72, 20.50).

Conclusions

Risk of suicide is increased among people with drug use disorders. Access to treatment for co-morbid mental health problems for people with drug use disorders could potentially reduce risk of suicide.