Background

More than two million adults with serious mental illnesses (SMIs), including schizophrenia-spectrum, bipolar, or major depressive disorders, are admitted to US jails annually [1]. A majority of justice-involved adults with SMI also have alcohol or drug use problems. Substance use among adults with SMI is a complicating treatment factor, as drug and alcohol use worsens illness trajectories [2,3,4], increases the cost of treatment [5], and is associated with multiple negative outcomes, including homelessness, arrest, and violence [6,7,8]. However, there are many jail-based barriers to treatment for co-occurring mental and substance use disorders (CODs), including a lack of evidence-based treatment options and the often short periods of incarceration. There also is limited communication between jails and community-based treatment agencies, which decreases the likelihood of immediate entry into community care upon release. As a result, justice-involved adults with CODs experience high rates of treatment failure, and jail-based and community-based services struggle to intervene effectively. Together, these issues have contributed to a cycle of limited treatment engagement, unaddressed criminogenic risks, and (re)arrest among this vulnerable and high-risk population [9,10,11].

Although evidence-based programs for CODs are available for inpatient and outpatient settings [2, 5, 10, 12, 13], effective treatment programs for justice-involved adults with CODs are limited [4, 6, 14,15,16]. Despite an inmate’s constitutional right to adequate healthcare [17], behavioral health treatment in jail is rarely evidence-based or focused on key leverage points, such as community re-entry or criminogenic risks. Several factors have contributed to this lack of evidence-based care, including jails’ limited capacity to respond to inmates’ behavioral health needs, the long-standing mission of incapacitation and punishment rather than rehabilitation, and the often short periods of incarceration and frequently unknown release dates for inmates, which limits the opportunities for and duration of in-jail treatment when available. Also, frequent and ongoing coordination with community-based agencies regarding inmates’ immediate enrollment in community services upon release from jail remains a challenge [18].

The issues are as follows: (1) Can existing evidence-based practices be adapted and delivered to justice-involved adults with CODs across both jail and community settings in a way that mitigates these barriers while also reducing re-arrest, substance use, and psychiatric symptoms and improving quality of life? (2) Can communication protocols be developed that facilitate immediate entry into community-based services upon release from jail? If so, what are the available and effective interventions that are portable to the jail setting and amenable to the inclusion of criminogenic risks? In addition to existing guidelines and recommendations for jail-based services [18, 19], the mental health services literature describes several strategies that focus on organizational and clinical changes and the development of effective intra- and inter-agency communication that improves outcomes associated with transitions from institutional to community care [20,21,22,23,24]. These include discharge planning, information sharing, monitoring of clients post-release, immediate and intensive community-based care, and peer support workers who span both the institutional and community settings. Still, the development and adoption of and adherence to guidelines, recommendations, and improvement interventions for clinical care with justice-involved adults with CODs have proven difficult in both the jail setting and during the transition to the community.

Objectives

The objectives of the current study are to (1) develop research protocols to obtain access to a jail population, implement a rigorous research design, including randomization to a pilot trial, and ensure that participants do not perceive any undue coercion to participate; (2) develop communication protocols so that jail and community treatment are coordinated and linked for effective community re-entry; and (3) adapt the clinical content of extant evidence-based programs to better address both behavioral health and criminogenic needs of jail inmates with CODs, including anger management, harm reduction, illness management, criminal thinking, antisocial peer networks, and treatment motivation. The following research aims were designed to address these objectives:

  • Aim 1: To adapt evidence-based interventions for delivery to jail inmates as they transition from institutional to community living, examining the initial acceptability of the adaptations through an uncontrolled open trial

  • Aim 2: To conduct a pilot randomized controlled trial (RCT) to establish knowledge in three priority areas:

    • Aim 2.1: The feasibility and acceptability of the adapted interventions

    • Aim 2.2: The feasibility and acceptability of the proposed research and communication protocols

    • Aim 2.3: The effectiveness of and estimated effect sizes associated with the adapted interventions vis-à-vis reductions in re-arrest, substance use, and psychiatric symptoms, and improvements in uptake of usual care.

Methods/design

This project was developed in partnership with multiple community organizations, including the county’s managed care organization, multiple community-based provider agencies, and the county jail. Each of these partners helped shape the proposal, including the development of the communication and research protocols and the selection of the treatments to be adapted. The Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) checklist is included as Additional file 1, and the SPIRIT figure for the RCT is presented in Fig. 1. The study flowchart is provided in Fig. 2.

Fig. 1
figure 1

Pilot RCT enrollment, interventions, and assessments according to SPIRIT guidelines

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Fig. 2
figure 2

Pilot RCT study flowchart

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Interventions

Dual-diagnosis motivational interviewing (DDMI) [25,26,27] and integrated group therapy (IGT) [28,29,30,31] are two integrated dual disorder treatment (IDDT) programs with strong evidence bases. IDDT programs are the “standard of evidence-based treatment” for adults with CODs ([32], p. 317). After a review of multiple IDDT and non-IDDT treatment programs, our partner agencies believed DDMI and IGT to be appropriate candidates for adaptation to justice-involved populations.

Dual-diagnosis motivational interviewing

DDMI is an adaptation of motivational interviewing [26] that incorporates an integrated framework and accommodates the cognitive impairments and disordered thinking associated with CODs. For example, DDMI includes simplified open-ended questions, refined reflective listening skills, and integration of psychiatric issues into personalized feedback and decision making. Given its portability and effectiveness in few sessions [27], DDMI was thought to fit particularly well within the context of brief, but intensive jail-based treatment prior to community re-entry. In the current study, DDMI sessions lasting approximately 60 minutes will be delivered one on one to inmates in the jail prior to their first court appearance. When possible, inmates will receive a second DDMI session before anticipated release from jail.

Integrated group therapy

IGT is an evidence-based practice that has been cited by the National Institutes of Health (NIH) as one of five examples of “promising behavioral therapies” for adults with CODs ([33], p. 3). IGT uses cognitive and behavioral strategies to address substance use, psychiatric symptoms, and medication nonadherence via a focus on (1) promoting abstinence from drugs, including alcohol; (2) promoting adherence to psychiatric medications; (3) teaching mood- and thought-monitoring skills; (4) teaching social skills; and (5) improving other aspects of life functioning [30]. Because cognitive-behavioral therapies like IGT are effective for treating adults with CODs [34, 35], including the reduction of antisocial behaviors [36, 37], our partners believed that community-based IGT also was an appropriate treatment to adapt for the jail-to-community treatment continuum. The goal is to have inmates, within 1 week of release from jail, enroll in IGT and participate in 12 90-minute IGT sessions with four to eight other inmates for 6 weeks. IGT sessions will be run with an open enrollment format [30] to facilitate a quick jail-to-community transition period and rapid engagement in community-based treatment [9].

Conceptual frameworks

Our treatment adaptation and implementation and communication protocol frameworks are described next.

Treatment adaptation framework

Our treatment adaptation framework is guided by the Risk-Need-Responsivity (RNR) model [38, 39] and the National Institute of Corrections’ (NIC’s) implementation competencies [40]. Within RNR, the risk principle indicates that individuals at highest risk of future adverse outcomes should be identified and resources allocated accordingly. The need principle asserts that interventions should target criminogenic needs related directly to adverse outcomes for the individual offender. The responsivity principle affirms that strategies should be sensitive to identified risk and needs, while being delivered in a way that considers individual factors that can affect treatment outcomes (e.g., learning style). There are eight NIC implementation competencies that also informed our treatment adaptation process: assess risk and need, enhance motivation, target interventions, cognitive-behavioral skill training, positive reinforcement, increase ongoing support, measure processes and practices, and measurement feedback.

Through the integration of RNR principles and NIC competencies, DDMI will be adapted for in-jail use with a focus on motivating the inmate for community re-entry, continuity of care, and uptake of routine outpatient services. IGT will be adapted for more intensive, staged delivery of sessions that target criminogenic risk and needs, while continuing to enhance motivation for uptake of routine outpatient services.

Implementation framework

Our implementation framework is guided by the Evidence-Based Interagency Implementation Model (EB-IIM) for community corrections [40]. This framework considers multiple, interacting levels at which implementation must occur, including the role of inner and outer settings in implementation. For example, we will focus on developing knowledge and building a foundation through the open trial (i.e., preparation phase), in addition to establishing agreed-upon expectations for the jail and community partners and aligning the jail’s policies and procedures to accommodate changes identified through the two trials. Finally, ongoing treatment adaptations, informed via open trial results, should improve the likelihood of sustaining a successful jail-to-community-based treatment continuum through and then beyond the pilot RCT.

Communication framework

Our communication protocols will be based on the Inter-organizational Relationship (IR) model that emphasizes situational factors, as well as process, structural, and outcome dimensions in inter- and intra-agency communication. The IR model defines the situational factors (e.g., need for resources) and process (e.g., intensity of information flow), structural (e.g., complexity), and outcome dimensions (i.e., perceived effectiveness) necessary for inter-agency collaboration. Thus, in addition to developing and testing inter-agency communication protocols (e.g., from jail to community treatment), we also will develop and test intra-agency communication protocols (e.g., how to manage scheduling conflicts between IGT and usual care services). The IR model has been used effectively across service settings [41,42,43,44] and maps onto the technical, procedural, and resource dimensions of the EB-IIM’s foundation core [40].

Study design

The study consists of two phases: (1) an uncontrolled open trial and (2) a pilot RCT. During the open trial phase, we will collect data to inform the refinement of the research and communication protocols and the adapted interventions—broadly, the jail-to-community treatment continuum. For example, results from the uncontrolled open trial may result in changes to the inmate participant recruitment and consent process, procedures for facilitating inter-agency communication, and additional adaptations to the DDMI-IGT continuum training materials, manuals, or session handouts. All modifications to the research and communication protocols and to the adapted interventions will be made in collaboration with community partners throughout the uncontrolled open trial and implemented in the pilot RCT.

Setting

The study will be conducted at a large urban county jail in the southeastern USA. The jail’s average daily census ranges between approximately 1300 and 1450 with one-quarter of those inmates identified as being in need of mental health evaluation beyond standard screening completed during booking. Within 24–48 hours, on average, all inmates have their first court appearance. From there, inmates are either (1) bonded out or have their charges dropped or (2) detained and sent to Misdemeanor or Felony Court. From Misdemeanor or Felony Court, inmates are released or sentenced.

Inmate participants

Inmate participants will be broadly representative of adults with CODs in a large urban county jail. Twelve inmates will be enrolled in the open trial and 60 in the pilot RCT. Eligibility criteria are: 18 to 65 years of age; incarcerated in the county jail; a resident of the county; able to speak and read English; and meet Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV) diagnostic criteria for (1) drug or alcohol abuse or dependence and (2) a serious mental illness, including major depressive disorder, depressive disorder not otherwise specified (NOS), bipolar disorder I, II, or NOS, schizophrenia-spectrum disorder, schizoaffective disorder, schizophreniform disorder, brief psychotic disorder, delusional disorder, or psychotic disorder NOS, based on review of clinical records and input from available informants, including jail-based clinicians.

Community partner participants

Community partner participants will be clinicians working in local behavioral healthcare agencies who will provide the intervention to treatment participants. Clinicians (n = 4) from a local behavioral health agency will be recruited and trained to provide the treatment to participants. Two clinicians will provide DDMI treatment to participants in the jail prior to release into the community. Two clinicians will provide the IGT treatment to participants in the community after release from jail. To be eligible, clinician participants must be providing clinical services to jail inmates with co-occurring substance use and mental health disorders, at least 18 years of age, able to speak/read English, and able to provide informed consent.

Clinician training

Prior to the start of the open trial, we will provide 1 day of training on IDDT principles, frameworks for treatment adaptation and implementation, and the DDMI and IGT programs to all study clinicians. We also will provide a second day of training separately for the DDMI and IGT clinicians, focusing on jail- and community setting-specific issues relevant to each of the interventions. Clinicians will receive a booster training during the open trial that will address modifications and refinements to DDMI and IGT and the communication protocols, as informed by open trial data. Clinicians will be retrained prior to the start of the pilot RCT and will receive another booster session midway through the RCT.

Participant identification and recruitment

Participants will be identified for potential participation in the study through routine screening measures at booking, including the Brief Jail Mental Health Screen [45] and other jail-specific mental health and substance use screening protocols. The Jail Mental Health Liaison will identify participants who meet the study inclusion criteria, which were noted above, and the jail-based clinician will approach potential participants (after booking but before the first court appearance) to inquire about interest in study participation.

Uncontrolled open trial

Recruitment and participation in the open trial will occur in two cycles to allow for evaluation and modification of the DDMI-IGT treatment continuum, as necessary. In the first cycle, six inmates will participate. The adapted interventions and communication and research protocols will be modified as necessary, based on inmate and clinician feedback. After modifications, another six inmates will participate in the second open trial cycle.

Pilot randomized controlled trial

For the pilot RCT, all inmates who consent to participate will be randomly assigned to one of two conditions: the DDMI-IGT treatment group or the control group. After consent, participants will receive their group assignment. All inmates will be given a preassigned study ID, each associated with assignment to either the treatment or control group, as determined by a random number generator. Participants will be informed of their allocation to study condition by the research interviewer. Allocation is not concealed, as participants will be asked to provide feedback on their satisfaction with, and preferences for, treatment (see Table 1).

Table 1 Uncontrolled open trial and pilot RCT measures and assessment schedule
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Treatment group

Inmates assigned to the treatment group will participate in the DDMI-IGT continuum. Between four and eight groups of participants will complete the DDMI-IGT treatment during the pilot RCT, depending on how many participants are enrolled in each IGT cycle. No more than 8 inmates will participate in IGT at any given time. In addition to the DDMI-IGT treatment continuum, inmates in the treatment condition also will receive any and all necessary usual care across jail and community settings.

Control group

Inmates assigned to the control condition will receive treatment as usual (TAU) and will not be enrolled in the DDMI-IGT treatment continuum. That is, inmates in the control group will continue to receive any and all usual care services across jail and community settings, as do any inmates regardless of participation in this study.

As noted, participants across both conditions will receive any and all clinically indicated usual care services across the jail and community sites. The delivery of those services, including their discontinuation or modification if needed, will be based on the treating clinician’s judgement and appropriate treatment planning within the context of the jail and community-based treatment system supporting the implementation of this project.

Assessment schedule and measures

Open trial

To address Aim 1, we will collect qualitative and quantitative data regarding acceptability of, fidelity to, and feasibility of the treatment from inmates and clinicians during the uncontrolled open trial (see Table 1). Acceptability will be evaluated to determine participant and clinician satisfaction with the communication protocols and the DDMI-IGT treatment continuum, using the Client Satisfaction Questionnaire-8 (CSQ-8) [46, 47], Narrative Evaluation of Intervention Interview (NEII) [48], semi-structured interviews, focus groups, and administrative records. Fidelity will be examined at the end of the open trial to determine the degree to which clinicians adhered to the adapted treatment programs based on a review of audio recorded treatment sessions and DDMI (Moyers, Martin, Manuel, Miller, Ernst. Revised global scales:motivational interviewing treatment integrity 3.1. 1 (MITI 3.1. 1). Unpublished.) and IGT [28] Adherence Forms. Feasibility will be evaluated to determine the success of treatment implementation, enrollment, and coordination, as well as the feasibility of research and communication protocols, using data collected from semi-structured interviews, focus groups, and administrative records.

Pilot randomized controlled trial

To address Aim 2, we will collect inmate and community partner outcome data to evaluate treatment effectiveness, feasibility, and acceptability of the pilot RCT (see Table 1). Treatment effectiveness will be assessed using three categories of outcome variables: (1) clinical, including inmate substance use, psychiatric symptoms, health status, service use, and quality of life; (2) criminal justice, including contacts and re-arrest, which will serve as the primary outcomes of the pilot RCT; and (3) treatment preferences. These outcomes will be assessed five times, including an in-jail baseline assessment and four additional community-based assessments spanning 1 week to 5 months after jail discharge (see Table 1). In addition to these effectiveness outcomes, we additionally will measure implementation outcomes related to the interventions and protocols. Specifically, feasibility and acceptability will be assessed using the same measures from the open trial, including inmate exit interviews, community partner focus groups, and administrative record review. The primary explanatory variable will be the experimental condition; that is, whether participants were assigned to either the treatment group (DDMI-IGT + TAU) or the control group (TAU only). Additionally, we will collect sociodemographic data for participants, including diagnosis, race/ethnicity, age, and sex, obtained through clinical and administrative records. Inclusion of these variables will allow examination of potential differences in treatment outcome as a function of each variable while controlling for sociodemographic factors in statistical analyses.

Analytic plan and statistical methods

Aim 1

We will conduct Aim 1 analyses to evaluate qualitative and quantitative data regarding the feasibility of, fidelity to, and acceptability of the DDMI-IGT continuum and protocols. All transcribed qualitative data from interviews and focus groups will be coded according to coding guidelines which will concentrate on deductive themes focusing on the feasibility and acceptability of treatment programs and protocols. A subset of transcripts will be coded independently by two team members in Atlas.ti using iterative content analysis [49]. Discrepancies will be resolved by refining codes and definitions through team discussion, until >90% agreement is reached. After all transcripts are coded, data will be searched and data output analyzed to build an understanding of feasibility and acceptability and possible revisions. For example, potential broad category codes could include “feasibility challenges,” “feasibility facilitators,” and “feasibility recommendations” with lower level codes indicating data collected from providers and participants. Low-level codes will be grouped into broader categories when possible. Additionally, we will calculate and review descriptive statistics of administrative data (e.g., call logs, frequency of inter- and intra- communication, average number of treatment sessions attended) to assess treatment and protocol feasibility. Findings will be used to refine treatment adaptations and protocols as needed prior to conducting the pilot RCT.

Aim 2

We will examine baseline clinical, legal, and demographic differences between groups to determine if RCT treatment group randomization was successful [50]. Additionally, we will assess demographic differences between consenters and refusers, reasons for refusal, and retention rates.

To address Aims 2.1 and 2.2 regarding the feasibility and acceptability of and fidelity to the treatment and protocols, we will integrate qualitative and quantitative data by transforming qualitative data (e.g., noting the occurrence of themes in interviews and focus groups) to support or refute quantitative results (i.e., data merging) [51,52,53]. All qualitative data collected from inmates, clinicians, and jail personnel will be analyzed using the coding approach described above for Aim 1. Feasibility will be evidenced by the acceptable rates of participant exposure (85% complete DDMI; attend >1 IGT session/week) and retention (>75% completion rate) in the treatment continuum [54,54,56]. Acceptability to clinicians will be evidenced by focus group and interview themes reflecting an overall more positive than negative perception (e.g., endorsement for continuing the program, even if minor inconveniences are noted). Acceptability to inmates will be evidenced by average CSQ-8 item scores >3 [57] and interview themes reflecting more positive than negative perceptions. Fidelity will be evidenced by mean item scores >4 (Moyers, Martin, Manuel, Miller, Ernst. Revised global scales:motivational interviewing treatment integrity 3.1. 1 (MITI 3.1. 1). Unpublished) for the DDMI and >3 [28] for the IGT fidelity ratings.

We will use a generalized linear mixed model (GLMM) to address Aim 2.3 regarding the effectiveness of the DDMI-IGT treatment condition. In addition to inferential tests of significance and associated confidence intervals, effect sizes will be estimated. Our approach will be extended to estimate standardized differences between the means for planned contrasts in the amount of change that has taken place between pairs of times. Effect sizes will be ranked from highest to lowest, tabled, and graphed. Mindful of concerns regarding estimation of effect sizes in pilot studies and the accuracy of estimates of replication, our goal will be to identify a consistent pattern in the results that will help determine the choice of primary outcome measures in future research [58, 59].

Although not a primary aim of this study, an important clinical question is the extent to which the intervention might be differentially effective as a function of inmate characteristics at treatment entry. We believe four factors might moderate intervention effectiveness and thus merit attention in our future research: diagnosis or psychiatric severity [8, 60]; substance use, including differential use of alcohol or drugs [8, 61], psychiatric symptoms [61,62,63]; and criminal [62, 63] or antisocial history, including disinhibition [64]. Following our GLMM analyses, we will undertake exploratory supplemental analyses by fitting expanded statistical models that include these variables as additional main effects and, more importantly, as interactions with treatment condition, to assess the extent to which each might moderate the treatment condition effect.

Monitoring

A Data Safety and Monitoring Board (DSMB), whose members will be independent of the funding agency, the National Institute on Drug Abuse (NIDA), will be brought together to oversee the study’s activities and to ensure the safety of human subjects, validity of findings, and need for further data collection. The study principal investigator (PI), Dr. Van Dorn, will interact with the DSMB at the DSMB’s discretion (at least two meetings per year), providing them with material to review, monitor, evaluate, audit, and make recommendations regarding: (1) protocols, informed consent procedures, and safety plans; (2) study progress (i.e., recruitment and retention, risk/benefit ratio for subjects, adherence to timetable, quality of data); (3) the impact of new treatment developments on the risk/benefit ratio of the study; (4) continuation, modification, or termination of ongoing studies based on adverse events or beneficial outcomes; (5) interim analyses; (6) confidentiality of trial data and results of monitoring; and (7) procedures likely to increase subjects’ burden, to raise ethical concerns, or to give the appearance of a conflict of interest.

The PI will make the following available to the DSMB: (1) all adverse events (RTI International protocol requires the reporting, in writing, of all adverse events within 5 days of the study team becoming aware of the adverse event. All adverse event forms will be made available to the DSMB as well as tables summarizing the occurrence of specific events.); (2) all interim data analyses; (3) analyses requested by the DSMB; and (4) all reports to NIDA and all publications. Finally, data management procedures, including those for data entry and quality checks, coding, security, and storage are available from the study PI.

Power analyses

The proposed study will have a small, but appropriate [65] sample size of 60. This study is developmental in nature, which informs how we have chosen to address the choice of error rates and power to detect effects in our clinical and public health outcomes. Prior research suggests small to medium substance use and psychiatric symptom effects of DDMI [25, 27] and IGT [28,29,30]. Therefore, type I error rate α = 0.15 was chosen so as not to limit power to conduct inferential analyses, giving an 80% chance (1 – β = .80) to detect a difference between the treatment conditions that would explain 9% of the total variance [θ2 = .09] in an outcome variable if the null hypothesis were false (calculated using G*Power 3.1 [66]). This approach allows for increased opportunity to detect a smaller effect, while running the risk that the effect will not replicate. This course of action is appropriate for a developmental study and is consistent with prior research involving adults with SMI and preliminary-stage multivariable models [61].

Discussion

Adults with mental illness suffer disproportionately from drug and alcohol problems and are overrepresented in jails. Our study aims to address the problem of limited treatment for this population. Therefore, we will adapt DDMI and IGT for jail inmates with CODs and evaluate the acceptability, feasibility, fidelity, and effectiveness of implementing the adapted treatment continuum and associated research and communication protocols.

Innovation

Our study will advance current research and practice regarding evidence-based treatment for inmates with CODs and associated research methodologies. We will adapt two interventions, DDMI and IGT, for justice-involved adults with CODs. Our project is grounded in evidence-based conceptual and treatment processes and will have the potential to improve substance use, psychiatric, arrest, and routine outpatient treatment uptake outcomes among an underserved and high-risk population. This type of research is needed to address the increasing rates of persons with CODs in jail populations and associated treatment failure. Second, the development and implementation of RCT methodologies is needed within and across jail and community settings to demonstrate the feasibility, acceptability, and effectiveness of adapting treatments and conducting RCTs with this population. Accordingly, this study may influence the progression of subsequent CODs and jail research and encourage others to adopt similar rigorous and system-bridging approaches.

Limitations

Our study has several limitations in the design and implementation. Although court orders can be successful in increasing treatment participation among adults with CODs, substance use disorders (SUDs), and SMIs [67,68,69], we do not propose any judicial oversight. This decision is in line with the preferences of our community partners and other ongoing studies [70] and has proven to be successful in retaining participants. Given our focus on one jail, the generalizability of our findings may be limited; however, generalizability of our findings can be examined in a future full-scale RCT. Allowing access to TAU in both experimental conditions also presents several potential limitations. As much as possible, our community agencies will have different clinicians deliver the DDMI-IGT and usual care services to experimental and control participants; however, DDMI-IGT and usual care will be provided in the same agencies, which may result in treatment contamination. Fidelity assessments will allow us to monitor DDMI-IGT treatment integrity and to address this potential contamination. It also is likely that, across both experimental conditions, inmates will receive different types and intensities of usual care services, resulting in treatment heterogeneity. This will not affect study interpretability, however, because service intensity will be titrated to individual client needs, consistent with the RNR framework [39]. If our DDMI-IGT continuum increases the amount or duration of usual care service uptake, the extent to which improvements in outcomes can be “explained” by amount or duration of usual care services could be explored by statistically controlling for these services and comparing the treatment conditions, e.g., through analysis of covariance (ANCOVA) models. Lastly, given that our study is focused on the preliminary treatment adaptations and feasibility, we have not focused on differential effects of DDMI and IGT within our treatment continuum.

Trial status

Participant recruitment for the RCT is ongoing.