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Identifying strategies to advance equitable implementation of co-occurring mental health and substance use disorder treatment in drug treatment courts: A study protocol

Published online by Cambridge University Press:  07 February 2023

Ayorkor Gaba*
Affiliation:
Department of Psychiatry, University of Massachusetts Chan Medical School, Worcester, MA, USA
Ashleigh LoVette
Affiliation:
School of Nursing, Johns Hopkins University, Baltimore, MD, USA
Bailey Pridgen
Affiliation:
Department of Psychiatry, University of Massachusetts Chan Medical School, Worcester, MA, USA
Marquita Taylor
Affiliation:
School of Public Health, Yale University, New Haven, CT, USA
Eva Woodward
Affiliation:
VA Center for Mental Healthcare and Outcomes Research, North Little Rock, AR, USA Department of Psychiatry, University of Arkansas for Medical Sciences, Little Rock, AR, USA
Milagros C. Rosal
Affiliation:
Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA
Melissa Anderson
Affiliation:
Department of Psychiatry, University of Massachusetts Chan Medical School, Worcester, MA, USA
David Smelson
Affiliation:
Department of Psychiatry, University of Massachusetts Chan Medical School, Worcester, MA, USA
*
Address for correspondence: A. Gaba, Psy.D., Assistant Professor, University of Massachusetts Chan Medical School, 365 Plantation St., Worcester, MA 01605, USA. Email: [email protected]
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Abstract

Introduction:

Behavioral health treatment disparities by race and ethnicity are well documented across the criminal legal system. Despite criminal legal settings such as drug treatment courts (DTCs) increasingly adopting evidence-based programs (EBPs) to improve care, there is a dearth of research identifying strategies to advance equitable implementation of EBPs and reduce racial/ethnic treatment disparities. This paper describes an innovative approach to identify community- and provider-generated strategies to support equitable implementation of an evidence-based co-occurring mental health and substance use disorder intervention, called Maintaining Independence and Sobriety through Systems Integration, Outreach and Networking-Criminal Justice (MISSION-CJ), in DTCs.

Methods/design:

Guided by the Health Equity Implementation Framework, qualitative interviews and surveys will assess factors facilitating and hindering equitable implementation of MISSION-CJ in DTCs among 30 Black/African American and/or Hispanic/Latino persons served and providers. Concept mapping with sixty Black/African American and/or Hispanic/Latino persons served and providers will gather community- and provider-generated strategies to address identified barriers. Finally, an advisory board will offer iterative feedback on the data to guide toolkit development and inform equitable implementation of MISSION-CJ within DTCs.

Conclusions:

The paper illustrates a protocol of a study based in community-engaged research and implementation science to understand multilevel drivers of racial/ethnic disparities in co-occurring disorder treatment and identify opportunities for intervention and improvements within criminal legal settings.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of The Association for Clinical and Translational Science

Introduction

Racial/Ethnic Health Disparities in Criminal Legal Settings

Due to structural racism and historical inequities, Black/African American and/or Hispanic/Latino adults are overrepresented in the criminal legal system in the USA. Despite recent decreasing incarceration rates, Black/African American people are incarcerated in state prisons five times the rate of White individuals [Reference Nellis1] and are 3.6 times more likely to be incarcerated in jail than their White counterparts [Reference Subramanian, Riley and Mai2]. Hispanic individuals are incarcerated in state prisons 1.3 times the rate of White individuals [Reference Nellis1]. The overrepresentation of Black and Brown people in the criminal legal system has direct and indirect implications and effects on racial/ethnic behavioral health and healthcare disparities in the USA.

Up to 70% of those involved in the criminal legal system have a mental health disorder (MHD), substance use disorder (SUD), or co-occurring MHD and SUD (COD) [Reference Butler, Nicholls, Samji, Fabian and Lavergne3,Reference Magee, Fortenberry, Rosenman, Aalsma, Gharbi and Wiehe4]. Individuals with criminal legal involvement and a COD experience worse psychosocial and health outcomes than those without a COD [Reference Di Lorenzo, Galliani, Guicciardi, Landi and Ferri5Reference Baillargeon, Penn, Knight, Harzke, Baillargeon and Becker7]. National data also show significant racial/ethnic treatment disparities within this population. A large study of male arrestees (N = 18,421) in jails in 10 US cities found that Black/African American arrestees with mental health and/or SUD were less likely to engage in care [Reference Hunt, Peters and Kremling8], and both Black/African American and Hispanic/Latino arrestees were less likely to benefit from SUD treatment in comparison with White arrestees [Reference Hunt, Peters and Kremling8]. Other studies have shown that, despite lower prevalence of behavioral health conditions, Black/African American and Hispanic/Latino adults in the criminal legal system with behavioral health conditions are less likely to be diagnosed and less likely to receive treatment [Reference Baillargeon, Penn, Knight, Harzke, Baillargeon and Becker7]. Black/African American and Hispanic/Latino adults in the criminal legal system with behavioral health conditions report less engagement and satisfaction with their treatment than their White counterparts [Reference Prins, Osher, Steadman, Robbins and Case9].

Despite lower prevalence of CODs among Black/African American and Hispanic/Latino people, multiple health, social, and structural issues interact within this population to create heightened risk for disparities. For example, Black/African American people with mental health conditions are more likely to be incarcerated than people of other races [Reference Hawthorne, Folsom and Sommerfeld10]. Poor standard of care for mental health treatment in carceral settings and carceral practices themselves worsen mental health and further exacerbate racial/ethnic behavioral health and healthcare disparities [Reference Vinson, Coffey, Jackson, McMickens, McGregor and Leifman11]. Given the overrepresentation of Black/African American and/or Hispanic/Latino adults within the criminal legal system and documented racial/ethnic disparities in behavioral healthcare, criminal legal settings are an important place to identify and address drivers of racial/ethnic health disparities.

To date, implementation-focused approaches to reduce or eliminate behavioral health disparities have not been used in these settings. This study provides a protocol and considerations for practitioners within criminal legal and behavioral health systems, and researchers to inform and promote the utilization of community-engaged approaches in the implementation of evidence-based programs (EBPs) within criminal legal settings. We will conduct a study in which we partner with persons-served, defined as persons being supported or treated for or in recovery from MHD, SUD, and/or COD, and providers/administrators, defined as persons providing or overseeing treatment, support, and services to those with MHD, SUD, and/or COD. Together, we will understand drivers of behavioral health treatment disparities and co-develop a health equity-informed implementation toolkit for an evidence-based behavioral health intervention, called Maintaining Independence and Sobriety through Systems Integration, Outreach and Networking-Criminal Justice (MISSION-CJ) in drug treatment courts (DTCs).

Drug Treatment Courts

DTCs are alternatives to incarceration programs to address individuals’ behavioral health and legal issues in lieu of incarceration. These courts serve many adults with a COD and leverage legal sanctions in exchange for court mandated and monitored treatment. While DTCs have gained popularity, with over 1,700 adult DTCs nationally, treatment outcomes have been modest for individuals with a COD. For example, having a COD significantly increases the odds of serious DTC program failure (e.g., new offense) and poorer behavioral health outcomes [Reference Zettler12].

Furthermore, racial/ethnic disparities exist within DTCs. Black/African American and Hispanic/ Latino individuals in DTC are less likely to graduate successfully relative to White men [Reference Shannon, Jackson Jones, Perkins, Newell and Neal13]. In terms of treatment, Hispanic/Latino participants are significantly less likely than White participants to be placed in residential treatment for similar patterns of drug use, and Black/African American participants are less likely to receive medications for opioid and alcohol use disorder in DTC settings [Reference Marlowe14], thus, suggesting inequitable implementation of behavioral health interventions within DTCs.

Evidence-Based COD Intervention in DTCs

Evidence-based COD interventions, such as MISSION-CJ [Reference Pinals, Smelson, Sawh, Harter and Ziedonis15], have been embedded within DTCs to offer comprehensive support for individuals with COD. MISSION-CJ is a time-limited, multicomponent treatment intervention adapted from the original MISSION model [Reference Smelson, Sawh, Harter, Siegfriedt and Ziedonis16]. MISSION-CJ follows five evidence-based practices to effectively engage people with COD in treatment and supports [Reference Pinals, Smelson, Sawh, Harter and Ziedonis15]: (1) Critical Time Intervention case management [Reference Herman and Mandiberg17], which offers intensive in-community support that decreases in intensity as participants transition to community-based care; (2) Dual Recovery Therapy, composed of 13 structured group treatment sessions designed to simultaneously treat COD [Reference Ziedonis and Stern18]; (3) Peer Support, including 11 recovery-oriented group sessions delivered by an individual with lived experience of COD and criminal legal involvement; (4) Vocational and educational support; and (5) Trauma-informed care. MISSION-CJ adds the Risk-Need-Responsivity framework, which utilizes assessment of recidivism risk to tailor treatment planning to address dynamic criminogenic needs driving offending behaviors and responsivity factors (e.g., gender, age, ethnicity, etc.).

MISSION-CJ in DTCs is delivered by a case manager and peer support specialist team for up to 12 months. The MISSION-CJ curriculum includes a facilitator manual, consumer workbook, and fidelity tool to support model implementation [Reference Pinals, Smelson, Sawh, Harter and Ziedonis15]. MISSION-CJ fidelity is monitored and supported through initial and refresher training via MISSION U, a standardized interactive web-based facilitator training curriculum; use of the MISSION-CJ fidelity tool, a standardized weekly fidelity tracking form which tracks service delivery and engagement with MISSION-CJ components, monthly fidelity case conferences, and quarterly fidelity data reviews.

Randomized controlled trials of MISSION [Reference Smelson, Kline and Kuhn19] have demonstrated a positive impact on behavioral health and other outcomes. Two MISSION versus treatment-as-usual (TAU) studies demonstrated improved treatment attendance, outpatient treatment engagement, reduced re-hospitalization, and improved mental health and SUD outcomes. Several pre-post, within-subject MISSION-CJ pilot studies have documented positive outcomes [Reference Pinals, Gaba, Clary, Barber, Reiss and Smelson20Reference Smelson, Gaba, Pressman, Clary, Shaffer and Pinals23]. Specific to DTCs, one MISSION-CJ pilot study in a suburban DTC (N = 86) found: 1) significant reductions in incarceration (p < .01) and alcohol/drug use (p < .01); 2) improved mental health symptoms on the Behavior and Symptom Identification Scale (BASIS) total score (p < .043), relation to self and others (p < .02), impulsive/addictive behaviors (p < .001), and depression and functioning subscales (p < .033); 3) reductions in hospitalizations (p < .01); and 4) increased employment (p < .01) at 6-month post-enrollment [Reference Smelson, Pinals and Sawh24]. Another MISSION-CJ pilot study in a rural DTC (n = 57) found that at 6-month post-enrollment, participants reported: 1) reduced incarceration (p < .001), arrests (p < .001), and illicit drug use (p < .046); 2) reduced mental health symptoms (p < .031) and trauma symptoms (p < .008); and 3) increased employment (p < .05). This study also found high rates of treatment/support linkage and engagement, with 76% of participants receiving medication-assisted treatment and 75% attending self-help groups at discharge [Reference Pinals, Gaba, Clary, Barber, Reiss and Smelson20].

Despite MISSION-CJ improving treatment outcomes for those with a COD in DTCs [Reference Pinals, Gaba, Clary, Barber, Reiss and Smelson20,Reference Hanna, Kubiak and Pasman25Reference Priester, Browne, Iachini, Clone, DeHart and Seay28], racial/ethnic disparities in treatment engagement and outcomes persist. Twelve-month outcome data indicated that Black/African American and/or Hispanic/Latino MISSION-CJ participants: 1) experienced a twofold increase in nights spent in jail in the past 6 months; 2) were four times as likely to report injection drug use in the past 6 months; and 3) experienced 25% fewer behavioral health improvements relative to their White counterparts. Furthermore, Black/African American and/or Hispanic/Latino participants were 38% less likely to graduate from MISSION-CJ [Reference Gaba, Shaffer, Andre, Pinals, Drawbridge and Smelson26].

A focus group with MISSION-CJ participants identified the following engagement barriers for Hispanic/Latino participants: long wait time for interpreters, lack of continued recovery supports post-graduation, and lack of health insurance [Reference Hatzenbuehler, Keyes, Narrow, Grant and Hasin29]. However, this was only one focus group in one court, did not include Black/African American participants, and did not use a rigorous qualitative methodology with a health equity implementation lens. To date, limited attention has been paid to racial/ethnic COD treatment disparities in criminal legal settings, especially framing these disparities as a special case of implementation failure [Reference Gaba, Vargas, Pinals, Vanmali and Smelson30] where enhanced community- and provider-informed strategies are needed to simultaneously enhance uptake and advance equity [Reference Bronson, Stroop, Zimmer and Berzofsky31].

Equitable Implementation of Evidence-Based Programs in Criminal Legal Settings

Despite growing attention on developing and implementing EBPs for adults with behavioral health conditions in criminal legal settings, EBPs have not been implemented equitably [Reference Nápoles and Stewart32]. Equitable implementation occurs when strong equity components – including explicit attention to the culture, history, values, assets, and needs of the community – are integrated into implementation of EBPs [Reference Zielinski, Allison, Brinkley-Rubinstein, Curran, Zaller and Kirchner33].

Equitable implementation of EBPs in criminal legal settings is not well understood. Traditionally, EBP implementation in criminal legal settings has occurred without integrating equity considerations and components, nor inviting people with lived experience (participants and providers) to participate in the development of and decision-making about the intervention and its implementation. These omissions have contributed to inequitable implementation and require improved engagement with diverse community and staff/providers to inform future efforts [Reference Nápoles and Stewart32].

Few studies in criminal legal settings have used health equity-informed approaches to systematically identify, select, and/or evaluate implementation strategies, defined as methods or techniques used to enhance the adoption, implementation, and sustainability of an EBP or practice [Reference Metz, Woo and Loper34]. We address this gap via the following three specific aims (see Fig. 1 for a graphical representation of the study):

Fig. 1. Graphical representation of the study protocol: a community-engaged protocol to gather and utilize lived experiences from MISSION-CJ/Drug Court participants and related providers and administrators, to create a multilevel understanding of barriers and facilitators to equitable implementation of MISSION-CJ and create a health equity informed implementation toolkit to help increase equitable access and engagement in MISSION-CJ. P/S=Person Served, P/A=Providers/Administrators, R = Researchers.

Aim 1: Identify facilitators and barriers to equitable implementation of MISSION-CJ via surveys and qualitative interviews with 30 Black/African American and/or Hispanic/Latino persons served by MISSION-CJ in DTCs and related providers/administrators.

Aim 2: Identify and prioritize actionable implementation strategies to address barriers to equitable MISSION-CJ implementation in DTCs using concept mapping with 60 Black/African American and/or Hispanic/Latino persons served by MISSION-CJ in DTCs and related providers/administrators.

Aim 3: Develop a health equity-informed MISSION-CJ implementation toolkit via an iterative development process with our advisory board.

This study will bridge this gap by bringing together implementation science, health disparities, and community-engaged approaches to understand and address drivers of racial/ethnic behavioral health treatment disparities among adults in DTCs.

Methods

This mixed-methods study protocol will identify multilevel drivers of MISSION-CJ implementation disparities among Black/African American and Hispanic/Latino individuals with COD in DTCs. To identify these drivers, we will utilize a QUAN + QUAL mixed-methods approach [Reference Woodward, Singh, Ndebele-Ngwenya, Melgar Castillo, Dickson and Kirchner37], where we will simultaneously collect and analyze quantitative and qualitative data, giving equal weight to both. Next, we will match barriers and facilitators to implementation strategies with an advisory board to enhance equitable implementation of MISSION-CJ within DTCs. This study will be conducted in collaboration with persons served, providers, and administrations in DTC and was approved by our university’s Institutional Review Board. See Table 1 for study methods.

Table 1. Study methods

Guiding Implementation Framework

This study is guided by the Health Equity Implementation Framework (HEIF) (see Fig. 2), an implementation science determinant framework specifically designed to inform equitable implementation. The framework proposes multiple levels of implementation determinants (i.e., systems level, recipients, and characteristics of the intervention), including equity determinants (i.e., drivers of disparities, such as culturally relevant factors of recipients and providers, societal context including structural racism in policies). The HEIF also suggests the most effective implementation strategies must be multifaceted to account for these distinct and multiple levels [Reference Proctor, Powell and McMillen35,Reference Woodward, Matthieu, Uchendu, Rogal and Kirchner36].

Fig. 2. Health equity implementation framework, study guiding framework. Figure reproduced with permission from Woodward, et al. (2019) 35.

Advisory Board

Study processes will be informed by an advisory board formed prior to study commencement. The board will consist of two Black/African American and/or Hispanic/Latino people with lived experience with MISSION-CJ and/or DTC, two MISSION-CJ and/or DTC providers/administrators, and two researchers, the study PI and HEIF developer. The advisory board was instrumental in developing the research question and will inform study design, instrument development, and recruitment. Our board members will generate a list of 5–6 additional potential advisory board members, representing persons served by MISSION-CJ in DTC, persons with lived experience of COD and criminal legal involvement, providers, and/or administrators. All board members will be compensated for their time and meet monthly for 90–120 minutes.

Given the significant power imbalances and histories of oppression between people of color impacted by the criminal legal system, providers within this systems, and researchers, we will consult literature [Reference Palinkas, Aarons, Horwitz, Chamberlain, Hurlburt and Landsverk38] and our advisory board members for best practices for inclusive and ways to engage persons served as community partners in the advisory board, elevate community voices, and ensure power sharing. A separate advisory board or separate initial advisory board meetings with persons served may be more appropriate to work through their concerns (e.g., fear of voicing concerns with judicial providers present) and build trust. We will review best practices during board meetings and through anonymous polling; the board will select the final set of processes (see Table 2 for advisory board processes).

Table 2. Advisory board proposed processes. Adapted from Newman SD, Andrews JO, Magwood GS, Jenkins C, Cox MJ, Williamson DC. Community advisory boards in community-based participatory research: a synthesis of best processes. Prev Chronic Dis 2011; 8(3): A70.

Our culturally diverse and multidisciplinary study team includes at least one team member who is bilingual and at least one team member with lived experience. Initial and ongoing study training will focus on community-based participatory research, health equity, social justice, implementation science, and cultural and structural humility.

Study Aims & Method

Aim 1: Identify Facilitators and Barriers to Equitable Implementation of MISSION-CJ Using a Mixed-Methods Approach via Surveys and Qualitative Interviews with 30 Black/African American, and/or Hispanic/Latino Persons Served by MISSION-CJ in DTCs and Related Providers/Administrators.

Participants: Fifteen persons-served and 15 providers/administrators will be invited to participate in an individual qualitative interview and complete a brief survey. See Table 1 for eligibility criteria.

Procedures: Participants will be recruited from four geographically diverse DTCs with MISSION-CJ program in one New England state. Persons served will be informed about the study via brief verbal announcements made by the research team during MISSION-CJ programming in English and Spanish. Interested individuals will be invited to a brief phone or video conference screening conducted to determine eligibility, review study procedures, and conduct the process of informed consent. All study team members will be trained to maintain confidentiality of participants. During recruitment and study procedures, we will emphasize that participation is not shared with the court, does not affect their receipt of services, and their responses are de-identified.

The following approaches will be used to minimize common barriers to racial/ethnic minoritized groups’ research participation [Reference Clark and Friedman39], including providing several opportunities to learn and ask questions about the research process; closely reviewing human subject protection measures to address fears of exploitation; explicitly addressing concerns about unintended consequences; clarifying confidentiality procedures; minimizing perceptions of coercion by not recruiting persons served during or as part of the court session and clearly outlining how participation will not impact court standing or criminal legal cases; and utilizing a diverse and bilingual study team. Feedback from individuals with lived experience will inform wording and materials used in this process.

Providers will be informed about the opportunity to participate via brief verbal announcements made by the study team at pre-court staff meetings, MISSION-CJ team meetings, and relevant state-wide provider meetings and trainings. Interested providers will be invited to a brief screening conducted by the study coordinator to determine eligibility, review study procedures, and review the informed consent process.

All eligible individuals will be scheduled for an individual interview in the language of their choice and sent a brief survey. Interviews will last 45–60 minutes via phone or Zoom and audio-recorded [Reference George, Duran and Norris40,Reference Rutakumwa, Mugisha and Bernays41]. Depending on COVID-19 restrictions, the interviews could be offered in person, by phone, or virtually. At the scheduled interview time, the study reviewer will thoroughly review the study purpose and confidentiality again. At the end of the interview, participants will be compensated with a $50 gift card. If participants decide to not be audio-recorded at any point during the interview, notes will be taken, and interviewees will be provided a copy of interviewer notes for the purposes of verifying accuracy, correcting errors or inaccuracies, and providing clarifications. Combined with careful interviewer training and consistent supervision, this process can effectively capture interview content [Reference George, Duran and Norris40,Reference Rutakumwa, Mugisha and Bernays41]. Audio-recorded interviews will be transcribed verbatim, de-identified, and reviewed for transcription accuracy.

Measures

Survey

Persons Served. The survey will gather demographic information including age, gender, race/ethnicity, sexual orientation, educational level, language, immigration history/status, family characteristics (e.g., number of children), housing status, income, and religion and questions about their pathway to, and tenure in, MISSION-CJ and DTC (e.g., Who referred you?, How long have you been in the program?). Their perceptions of MISSION-CJ and DTC providers’ cultural competency will be measured by an adapted version of the Iowa Cultural Understanding Assessment–Client Form [Reference Hagens, Dobrow and Chafe42]. The Iowa Cultural Understanding Assessment–Client Form scale is a brief assessment for understanding organizational culture through the lens of client perspectives based on staff–client relations, environmental factors, and service delivery processes. This measure was selected because it quantitatively assesses aspects of HEIF’s three health equity domains which are important in understanding equitable implementation. The survey, offered in English and Spanish, will take 10–15 minutes, and can be completed online, by phone, or by pen/paper. The survey was written at a 6th grade reading level. Participants can opt to have the survey read to them by the interviewer and verbally respond to survey questions.

Providers. The survey will provide information about the providers’ demographics including: gender, race/ethnicity, and educational level; organizational cultural competence assessment; and self-assessment of their own cultural competency. The organizational and self-assessment questions were adapted from the work of the Association of University Centers on Disabilities (AUCD) Multicultural Council’s Assessment of Organizational Cultural Competence, which [Reference White, Clayton and Arndt43] assists organizations in assessing their progress towards cultural competence, both at the organizational and individual level. The survey will take about 10–15 minutes to complete and can be completed online, by phone, or pen/paper.

Interview

We will conduct semi-structured individual interviews with participants to identify perceived barriers and facilitators to MISSION-CJ implementation in Drug Court. The interview guide will be based on HEIF components and will specifically elicit perspectives on the following topics: needs of both persons served and providers/administrators in regard to COD treatment and its delivery for the target populations; current implementation of MISSION-CJ and DTC; multilevel factors that might facilitate or inhibit equitable implementation of MISSION; and ideas about how to address identified barriers. HEIF-informed semi-structured interview guides (see supplemental materials for sample interview questions by HEIF domain) will be developed using iterative community and provider feedback. Iterative drafts of the interview guide will be edited by the advisory board, study team, and an external qualitative researcher. Thirty interviews will be completed – 15 per group or until the data collected reaches saturation. Sample sizes of 10–15 [44] per group have been found to meet the threshold for data saturation in qualitative research [Reference Latham45].

Analytic Plan: Once data are collected, cleaned, and entered in respective software for management (SPSS for quantitative data from surveys, Dedoose for qualitative data from semi-structured interviews), each data type (qualitative data from interviews and quantitative data from surveys) will be analyzed independently and then merged and presented to the study team to integrate quantitative and qualitative findings. Directed content analysis [Reference Hagaman and Wutich46] will be used for qualitative data to categorize according to domains from the HEIF. Coding will be completed by the study team – the PI (coder A), two doctoral level coders (coders B and C), and one bachelor’s in psychology level coder (coder D). Coders will extract data on specific concepts related to implementation, disparities, culture, cultural identities, and equity (see Table 3 for coding definitions) and barriers or facilitators of MISSION-CJ implementation. Quantitative survey data will be analyzed, and descriptive statistics will be generated. Mean responses to survey items will be compared by groups (e.g., drug court sites, provider roles, gender, race, ethnicity, etc.) to determine differences between specific groups (e.g., persons served ratings on program cultural competency vs. providers/administrators’ ratings of program cultural competency).

Table 3. Coding definition

The qualitative data will be quantified. For example, presenting ever-coded (e.g., the number of transcripts that had the code assigned ever) and frequency (e.g., the number of times the code was assigned throughout all transcripts) counts will provide additional data to support salience of emergent themes. We will use a joint display to merge the two data types by illustratively bringing them together to complement understanding and interpretation by detailing codes, themes, and survey responses to engage in a side-by-side comparison. This strategy has been used in prior studies to identify points of convergence and divergence in participant responses [Reference Hsieh and Shannon47] and provides a more complete, unified explanation than either single data type alone.

Aim 2: Identify and Prioritize Actionable Implementation Strategies to Address Barriers to Equitable MISSION-CJ Implementation in DTCs Using Concept Mapping with 60 Black/African American and/or Hispanic/Latino Persons Served by MISSION-CJ in DTCs and Related Providers/Administrators

Methods/Design

Participants: Thirty persons served and 30 providers/administrators will be invited to participate in a concept mapping activity. Persons served and provider/administer eligibility criteria will be the same as outlined in Aim 1.

Procedures: Concept mapping is a mixed-methods approach to engage community members and providers in the community-based participatory research process [Reference Aarons, Fettes and Hurlburt48]. Concept mapping has been effectively used to bring together diverse groups of community members and providers to expeditiously create an interpretable conceptual framework that can serve as a foundation for implementation planning. Concept mapping generates group consensus on key ideas and supports systems thinking by eliciting individual experiences to identify group conceptualization of an issue. It equalizes or lessens power differentials among participants by giving individuals equal voice and choice and engages persons served and providers as both study participants and collaborative decision-makers. Concept mapping tasks such as sorting and ranking (described below) are done individually and anonymously, so everyone gets an anonymous vote on the final conceptual naming and grouping of clusters. Since statistical procedures analyze the sorting and rating data, people do not need to discuss, defend, or develop consensus with other participants and no one person holds the decision-making power.

The concept mapping process has qualitative and quantitative components that can be conducted online, face to face (via phone or video conferencing), or in combination. The qualitative elements are brainstorming ideas from a prepared focus question, structuring the ideas by sorting them into thematic groups based on their perceived similarity and then rating them on importance and feasibility, and analyzing and interpreting the concept maps generated. The quantitative elements are rating the qualitative statements generated and creating different visual maps to convey key concepts. Typically, concept mapping is organized into four structured and sequenced activities: (1) brainstorming, (2) sorting, (3) rating, and (4) data interpretation.

It is important to note that this sequence does have the potential for participant burden [Reference Cook and Bergeron49]. Therefore, the concept mapping sequence in this study will be modified such that statements will be extracted from our Aim 1 qualitative interviews; sorting and rating will follow the typical concept mapping sequence; and interpretation of the concept maps will be done by an advisory board. We considered traditional concept mapping, but due to concerns of participant burden, we opted to use this adapted version which has been successfully tested by others [Reference Burke, OʼCampo, Peak, Gielen, McDonnell and Trochim50]. The traditional concept mapping methodology comprises generation of ideas (statements/items) through focus group brainstorming guided by a study-specific prompt or focus question. Instead, the generation of ideas will be synthesized from the Aim 1 individual qualitative interviews. The interviews will include prompts or focus questions such as “List key strategies to ensure MISSION-CJ is reaching and benefitting all people in Drug Court”; “To eliminate disparities and achieve health equity in the treatment of COD within Drug Courts, programs should…”; “Thinking as broadly as possible, what are some strategies to ensure MISSION-CJ is reaching and benefitting people of color within the Drug Court?; and “What are the most impactful and feasible strategies to improve MISSION-CJ services for Black/African American and/or Hispanic/Latino people in Drug Court?” We will fine-tune these questions with our advisory board and pilot test the question with at least one person served and one provider.

Study participants will be asked to identify and prioritize actionable implementation activities to address barriers to equitable MISSION-CJ implementation in DTC identified in Aim 1. Concept mapping is usually an individual virtual activity. To account for technology access, literacy, and comfortability, participants will be given the options to complete the activity virtually, in-person, or by video conference. If participants are interested in completing the activity virtually, they will be provided with computer access and support as needed. The same recruitment and screening strategy described in Aim 1 will be utilized, but the study will be expanded to additional DTCs to capture additional diversity of community and provider perspectives across different DTCs in the state. Our planned sample size is slightly higher than the recommended sample size for concept mapping (n ≥ 15 per group) [Reference McFall, Ureda and Byrd51] to ensure we can make meaningful comparisons between persons served versus providers/administrators.

Those who agree to participate virtually will be sent a link to the online platform in either English or Spanish. The site will be available to participants for a 1-month period. On the site, participants will provide brief demographic information. Concept mapping will include a sequential process with the following steps. First, participants will view and read a list of implementation strategies synthesized from Aim 1. For the sorting task, participants will be instructed to sort the strategy statements into categories that make sense to them and to generate a label for each category they created. Next, for the rating task, all participants will be asked to rate the importance of each strategy statement on a scale ranging from 0 (not important at all) to 5 (extremely important) based on the impact each strategy would have on the equitable implementation of MISSION-CJ. All participants will then be asked to rate each strategy statement on its feasibility using the scale 0 (not feasible at all) to 5 (extremely feasible).

If the participant elects to complete concept mapping in-person, an interviewer will meet with them and guide them through the concept mapping activity on a study laptop in person. The interviewer will walk them through the steps outlined above to elicit and record participant responses in the Concept System® groupwisdom™ platform. Upon completion, participants will receive a $50 gift card. Concept mapping has been conducted successfully with similar participant populations [Reference Rosas and Kane52].

Analyses Plan: The Concept System® groupwisdom™ [Reference King53] will be used to conduct the analyses. The software uses multidimensional scaling and hierarchical cluster analysis to interpret sorting and rating data and to produce visual representations of the data (e.g., maps). Hierarchical cluster analysis, using input from multidimensional scaling, mathematically groups each statement into adjustable cluster solutions, based on how participants rated and sorted the data. Each cluster represents a unique theme on the resulting map. Descriptive statistics for the importance and feasibility ratings will be calculated. Each implementation strategy’s importance and feasibility score will be plotted on a graph. The PI will present results to the advisory board to understand and interpret concept mapping results.

Aim 3: Develop a Health Equity-Informed MISSION-CJ Implementation Toolkit via an Iterative Development Process with Our Advisory Board

Methods/Design

Procedures: Data summaries from Aims 1 and 2 will be reviewed with our advisory board who will help interpret the findings to inform development of a toolkit to advance equitable implementation of MISSION-CJ in DTCs. The PI will facilitate discussion and gather consensus for modifications.

Toolkit Development: The study team will draft and refine toolkit content with iterative feedback from the advisory board. Each of the newly developed components will be beta-tested with the board and their feedback will inform the final version of the toolkit to be used in a larger trial. The board will provide commentary on what they like, dislike, and changes for improvement. For example, if implementation strategies such as “strategies to increase ongoing person served feedback on the MISSION-CJ implementation; identifying/preparing a provider and/or person served program champion, or culturally tailoring MISSION-CJ components” are suggested as important and feasible strategies to advance equitable implementation in Aims 1 and 2, the advisory board will review toolkit sections related to these strategies (e.g., sample focus group instructions and questions to be used by programs to solicit participant/family feedback). Utilizing the nominal group technique, we will present a toolkit section (e.g., strategies to identify and prepare graduates of color to serve as program champions) then (1) ask members to silently generate ideas about how best to enhance it, (2) gather round-robin feedback from group members to record each idea, (3) discuss each recorded idea for clarification and evaluation, and then (4) conduct individual and anonymous polling to identify priorities for further refinement. The final toolkit will be assessed by board members via the Acceptability of Intervention Measure, Intervention Appropriateness Measure, and Feasibility of Intervention Measure [Reference Fernandez, Ten Hoor and Van Lieshout55], four-item measures to determine to what extent the toolkit is acceptable (e.g., Is it agreeable, palatable, satisfactory?), appropriate (e.g. Is it relevant or a fit?), and feasible (e.g., Can it be successfully used in DTCs?).

The toolkit will help MISSION-CJ end users (providers, courts, and systems) use strategies to close gaps in behavioral healthcare outcomes that result from multilevel and inequitable policies and practices. The toolkit will include:

  • Supporting evidence on why both uptake and equity are important;

  • Tactical and practical steps to equitably implement evidence-based COD programming in DTC;

  • Strategies to address issues arising from variation and obstacles within settings;

  • Strategies to evaluate and enhance equitable implementation of evidence-based COD programming in DTC;

  • Suggested training to ensure staff and leadership share a common understanding of the complexities of inequities and have the skills to advance health equity.

Discussion

There is an urgent need for research to inform and address multilevel drivers of health disparities in criminal legal settings and populations. To our knowledge, this is one of the first studies to utilize a community- and provider-informed approach to explore racial/ethnic behavioral health treatment disparities in DTCs. The exploratory and developmental work proposed in this study will address research gaps and provide actionable implementation guidance to advance equitable implementation of COD interventions in DTCs.

We hypothesize that a community and provider co-developed toolkit will likely contribute to enhanced equitable implementation of COD interventions within DTCs. Given the novel and pragmatic nature of the study, we envision this work will have a positive public health impact on the lives of adults with COD receiving care as part of their criminal legal involvement. This work can provide valuable insights on the practical aspects of conducting research within criminal legal settings and populations with criminal legal involvement, especially community-engaged research. Lastly, this study provides an example of the application of Dissemination and Implementation Science to advance translational research in a criminal legal setting.

Supplementary material

To view supplementary material for this article, please visit https://doi.org/10.1017/cts.2023.14.

Acknowledgements

This work was funded by the University of Massachusetts Center for Clinical and Translational Science (UMCCTS) (#KL2TR001454). We thank the University of Massachusetts Center for Clinical and Translational Science (UMCCTS) for supporting this work.

Disclosures

The authors report no financial relationships with relevant commercial interests. The views expressed in this article are those of the authors and do not necessarily reflect the position or policy of the University of Massachusetts Center for Clinical and Translational Science (UMCCTS) or the US government.

References

Subramanian, R, Riley, C, Mai, C. Divided Justice: Trends in Black and White Jail Incarceration, 1990-2013. New York, NY: Vera Institute of Justice, 2018.Google Scholar
Butler, A, Nicholls, T, Samji, H, Fabian, S, Lavergne, MR. Prevalence of mental health needs, substance use, and co-occurring disorders among people admitted to prison. Psychiatric Services 2021; 73(7): 202000927.Google ScholarPubMed
Magee, LA, Fortenberry, JD, Rosenman, M, Aalsma, MC, Gharbi, S, Wiehe, SE. Two-year prevalence rates of mental health and substance use disorder diagnoses among repeat arrestees. Health & Justice. 2021; 9(1): 110.CrossRefGoogle ScholarPubMed
Di Lorenzo, R, Galliani, A, Guicciardi, A, Landi, G, Ferri, P. A retrospective analysis focusing on a group of patients with dual diagnosis treated by both mental health and substance use services. Neuropsychiatric Disease and Treatment 2014; 10: 1479.CrossRefGoogle ScholarPubMed
Wrenn, G, Munetz, M, McGregor, B. Improving Outcomes for People with Serious Mental Illness and Co-occurring Substance Use Disorders in Contact with the Criminal Justice System, 2017. (https://thinkbiggerdogood.org/improving-outcomes-for-people-with-serious-mental-illness-and-co-occurring-substance-use-disorders-in-contact-with-the-criminal-justice-system/)Google Scholar
Baillargeon, J, Penn, JV, Knight, K, Harzke, AJ, Baillargeon, G, Becker, EA. Risk of reincarceration among prisoners with co-occurring severe mental illness and substance use disorders. Administration and Policy in Mental Health and Mental Health Services Research. 2010; 37(4): 367374.CrossRefGoogle ScholarPubMed
Hunt, E, Peters, RH, Kremling, J. Behavioral health treatment history among persons in the justice system: Findings from the Arrestee Drug Abuse Monitoring II Program. Psychiatric Rehabilitation Journal 2015; 38(1): 715.CrossRefGoogle ScholarPubMed
Prins, SJ, Osher, FC, Steadman, HJ, Robbins, PC, Case, B. Exploring racial disparities in the brief jail mental health screen. Criminal Justice and Behavior. 2012; 39(5): 635645.Google ScholarPubMed
Hawthorne, WB, Folsom, DP, Sommerfeld, DH, et al. Incarceration among adults who are in the public mental health system: Rates, risk factors, and short-term outcomes. Psychiatric Services. 2012; 63(1): 2632.CrossRefGoogle ScholarPubMed
Vinson, SY, Coffey, TT, Jackson, N, McMickens, CL, McGregor, B, Leifman, S. Two systems, one population: : Achieving equity in mental healthcare for criminal justice and marginalized populations. Psychiatric Clinics. 2020; 43(3): 525538.Google ScholarPubMed
Zettler, HR. The impact of dual diagnosis on drug court failure. International Journal of Offender Therapy and Comparative Criminology. 2019; 63(3): 357382.CrossRefGoogle ScholarPubMed
Shannon, LM, Jackson Jones, A, Perkins, E, Newell, J, Neal, C. Examining individual factors and during-program performance to understand drug court completion. Journal of Offender Rehabilitation. 2016; 55(5): 271292.CrossRefGoogle Scholar
Marlowe, DB. Achieving racial and ethic fairness in drug courts. Ct Rev 2013; 49: 40.Google Scholar
Pinals, D, Smelson, D, Sawh, L, Harter, J, Ziedonis, D. The MISSION-Criminal Justice Treatment Manual. Worcester: University of Massachusetts Medical School, 2014,Google Scholar
Smelson, D, Sawh, L, Harter, J, Siegfriedt, J, Ziedonis, D. The MISSION Treatment Manual. 2nd ed. Worcester: University of Massachusetts Medical School, 2014.Google Scholar
Herman, DB, Mandiberg, JM. Critical time intervention: Model description and implications for the significance of timing in social work interventions. Research on Social Work Practice. 2010; 20(5): 502508.Google Scholar
Ziedonis, DM, Stern, R. Dual recovery therapy for schizophrenia and substance abuse. Psychiatric Annals 2001; 31(4): 255264.CrossRefGoogle Scholar
Smelson, DA, Kline, A, Kuhn, J, et al. A wraparound treatment engagement intervention for homeless veterans with co-occurring disorders. Psychological Services 2013; 10(2): 161167.CrossRefGoogle ScholarPubMed
Pinals, DA, Gaba, A, Clary, KM, Barber, J, Reiss, J, Smelson, D. Implementation of MISSION–Criminal Justice in a treatment court: Preliminary outcomes among individuals with co-occurring disorders. Psychiatric Services. 2019; 70(11): 10441048. DOI: 10.1176/appi.ps.201800570.CrossRefGoogle Scholar
Shaffer, PM, Rodriguez, CP, Gaba, A, et al. Engaging vulnerable populations in drug treatment court: Six month outcomes from a co-occurring disorder wraparound intervention. International Journal of Law and Psychiatry 2021; 76: 101700.CrossRefGoogle ScholarPubMed
Shaffer, PM, Smelson, DA, Gaba, A, Casey, SC. Integrating a co-occurring disorders intervention in a rural drug treatment court: Preliminary 6-month outcomes and policy implications. International Journal of Mental Health and Addiction 2020, 117.Google Scholar
Smelson, DA, Gaba, A, Pressman, K, Clary, KM, Shaffer, PM, Pinals, DA. Embedding a co-occurring disorders rehabilitation intervention in veterans courts: A pilot study with male veterans. Community Mental Health Journal. 2020; 56(5): 970977.CrossRefGoogle Scholar
Smelson, DA, Pinals, DA, Sawh, L, et al. An alternative to incarceration: Co-occurring disorders treatment intervention for justice-involved veterans. World Medical & Health Policy. 2015; 7(4): 329348.CrossRefGoogle Scholar
Hanna, J, Kubiak, S, Pasman, E, et al. Evaluating the implementation of a prisoner re-entry initiative for individuals with opioid use and mental health disorders: Application of the consolidated framework for implementation research in a cross-system initiative. Journal of Substance Abuse Treatment. 2020; 108: 104114.CrossRefGoogle Scholar
Gaba, A, Shaffer, PM, Andre, M, Pinals, D, Drawbridge, D, Smelson, D. Racial and Ethnic Differences in Behavioral Health and Social Needs Among Mental Health,Google Scholar
Court Participants. Presented at: Academy Health Annual Research Meeting. (Virtual, 2021.Google Scholar
Priester, MA, Browne, T, Iachini, A, Clone, S, DeHart, D, Seay, KD. Treatment access barriers and disparities among individuals with co-occurring mental health and substance use disorders: An integrative literature review. Journal of Substance Abuse Treatment. 2016; 61: 4759.CrossRefGoogle ScholarPubMed
Hatzenbuehler, ML, Keyes, KM, Narrow, WE, Grant, BF, Hasin, DS. Racial/ethnic disparities in service utilization for individuals with co-occurring mental health and substance use disorders in the general population: Results from the national epidemiologic survey on alcohol and related conditions. The Journal of Clinical Psychiatry 2008; 69(7): 165761121.CrossRefGoogle ScholarPubMed
Gaba, A, Vargas, S, Pinals, D, Vanmali, R, Smelson, D. Facilitators and Barriers to Engagement in Specialty Court Services For Individuals with Co-occurring substance use and mental health disorders presented at. (American Academy of Addiction Psychiatry 27th Annual Meeting and Scientific Symposium 2016, Bonita Springs: FL, United States, 2016.Google Scholar
Bronson, J, Stroop, J, Zimmer, S, Berzofsky, M. Drug Use, Dependence, and Abuse Among State Prisoners and Jail Inmates, 2007-2009. Washington, DC: United States Department of Justice, Office of Juvenile Justice and Delinquency Prevention, 2017.Google Scholar
Nápoles, AM, Stewart, AL. Transcreation: An implementation science framework for community-engaged behavioral interventions to reduce health disparities. BMC Health Services Research. 2018; 18(1): 115.CrossRefGoogle ScholarPubMed
Zielinski, MJ, Allison, MK, Brinkley-Rubinstein, L, Curran, G, Zaller, ND, Kirchner, JAE. Making change happen in criminal justice settings: Leveraging implementation science to improve mental health care. Health & Justice 2020/09/06; 2020; 8(1): 21. DOI: 10.1186/s40352-020-00122-6.CrossRefGoogle Scholar
Metz, A, Woo, B, Loper, A. Bringing equity to implementation: Equitable implementation at work, 2021. (https://ssir.org/articles/entry/equitable_implementation_at_work#)Google Scholar
Proctor, EK, Powell, BJ, McMillen, JC. Implementation strategies: Recommendations for specifying and reporting. Implementation Science. 2013; 8(1): 111.CrossRefGoogle ScholarPubMed
Woodward, EN, Matthieu, MM, Uchendu, US, Rogal, S, Kirchner, JE. The health equity implementation framework: Proposal and preliminary study of hepatitis C virus treatment. Implementation Science 2019; 14(1): 118.CrossRefGoogle ScholarPubMed
Woodward, EN, Singh, RS, Ndebele-Ngwenya, P, Melgar Castillo, A, Dickson, KS, Kirchner, JE. A more practical guide to incorporating health equity domains in implementation determinant frameworks. Implementation Science Communications. 2021; 2(1): 116.CrossRefGoogle ScholarPubMed
Palinkas, LA, Aarons, GA, Horwitz, S, Chamberlain, P, Hurlburt, M, Landsverk, J. Mixed method designs in implementation research. Administration and Policy in Mental Health and Mental Health Services Research 2011; 38(1): 4453. DOI: 10.1007/s10488-010-0314-z.CrossRefGoogle ScholarPubMed
Clark, J, Friedman, B. Community Advisory Boards: What works and what doesnʼt (Lessons from a National Study). American Journal of Criminal Justice 2020; 47: 159.Google Scholar
George, S, Duran, N, Norris, K. A systematic review of barriers and facilitators to minority research participation among African Americans, Latinos, Asian Americans, and Pacific Islanders. American Journal of Public Health 2014; 104(2): e16e31.CrossRefGoogle ScholarPubMed
Rutakumwa, R, Mugisha, JO, Bernays, S, et al. Conducting in-depth interviews with and without voice recorders: A comparative analysis. Qualitative Research. 2020; 20(5): 565581.CrossRefGoogle ScholarPubMed
Hagens, V, Dobrow, MJ, Chafe, R. Interviewee transcript review: Assessing the impact on qualitative research. BMC Medical Research Methodology. 2009; 9(1): 18.CrossRefGoogle ScholarPubMed
White, K, Clayton, R, Arndt, S. Culturally Competent Substance Abuse Treatment Project: Annual Report, 2009.Google Scholar
Association of University Centers on Disabilities Multicultural Council. Assessment of organizational cultural competence, 2004. (https://www.aucd.org/docs/councils/mcc/cultural_competency_assmt2004.pdf)Google Scholar
Latham, JR. A framework for leading the transformation to performance excellence part I: CEO perspectives on forces, facilitators, and strategic leadership systems. Quality Management Journal. 2013; 20(2): 1233.CrossRefGoogle Scholar
Hagaman, AK, Wutich, A. How many interviews are enough to identify metathemes in multisited and cross-cultural research? Another perspective on Guest, Bunce, and Johnson’s, 2006 landmark study. Field Methods. 2017; 29(1): 2341.CrossRefGoogle Scholar
Hsieh, H-F, Shannon, SE. Three approaches to qualitative content analysis. Qualitative Health Research. 2005; 15(9): 12771288.CrossRefGoogle ScholarPubMed
Aarons, GA, Fettes, DL, Hurlburt, MS, et al. Collaboration, negotiation, and coalescence for interagency-collaborative teams to scale-up evidence-based practice. Journal of Clinical Child & Adolescent Psychology. 2014; 43(6): 915928.CrossRefGoogle ScholarPubMed
Cook, K, Bergeron, K. Using Group concept mapping to engage a hard-to-reach population in research: Young adults with life-limiting conditions. International Journal of Qualitative Methods 2019; 18: 1609406919891315.CrossRefGoogle Scholar
Burke, JG, OʼCampo, P, Peak, GL, Gielen, AC, McDonnell, KA, Trochim, WM. An introduction to concept mapping as a participatory public health research method. Qualitative Health Research 2005; 15(10): 13921410. DOI: 10.1177/1049732305278876.CrossRefGoogle ScholarPubMed
McFall, SL, Ureda, J, Byrd, TL, et al. What is needed for informed decisions about prostate cancer screening: Perspectives of African-American and Hispanic men. Health Education Research. 2008; 24(2): 280291. DOI: 10.1093/her/cyn018.Google ScholarPubMed
Rosas, SR, Kane, M. Quality and rigor of the concept mapping methodology: A pooled study analysis. Evaluation and Program Planning. 2012; 35(2): 236245.CrossRefGoogle ScholarPubMed
King, S. Federal Register/Vol. 81, No. 40/Tuesday, March 1, 2016 /Notices 10641.Google Scholar
The Concept System® groupwisdom™ (Build 2022.24.01) [Web-based Platform], 2021. (https://groupwisdom.tech/)Google Scholar
Fernandez, ME, Ten Hoor, GA, Van Lieshout, S, et al. Implementation mapping: Using intervention mapping to develop implementation strategies. Frontiers in Public Health 2019; 7: 158.CrossRefGoogle ScholarPubMed
The Impact Center at Frank Porter Graham Child Development Institute, Acceptability of Intervention Measure (AIM), Intervention Appropriateness Measure (IAM), & Feasibility of Intervention Measure. (https://ictp.fpg.unc.edu/sites/ictp.fpg.unc.edu/files/resources/Triple%20P%20System%20Implementation%20Outcomes_Acceptability%2C%20Appropriateness%2C%20Feasibility.pdf)Google Scholar
Figure 0

Fig. 1. Graphical representation of the study protocol: a community-engaged protocol to gather and utilize lived experiences from MISSION-CJ/Drug Court participants and related providers and administrators, to create a multilevel understanding of barriers and facilitators to equitable implementation of MISSION-CJ and create a health equity informed implementation toolkit to help increase equitable access and engagement in MISSION-CJ. P/S=Person Served, P/A=Providers/Administrators, R = Researchers.

Figure 1

Table 1. Study methods

Figure 2

Fig. 2. Health equity implementation framework, study guiding framework. Figure reproduced with permission from Woodward, et al. (2019)35.

Figure 3

Table 2. Advisory board proposed processes. Adapted from Newman SD, Andrews JO, Magwood GS, Jenkins C, Cox MJ, Williamson DC. Community advisory boards in community-based participatory research: a synthesis of best processes. Prev Chronic Dis 2011; 8(3): A70.

Figure 4

Table 3. Coding definition

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