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Study design to evaluate a group-based therapy for support persons of adults on buprenorphine/naloxone

Abstract

Background

Opioid use disorders (OUDs) have devastating effects on individuals, families, and communities. While medication treatments for OUD save lives and are increasingly utilized, rates of treatment dropout are very high. In addition, most existing medication treatments for OUD may often neglect the impact of untreated OUD on relationships and ignore the potential role support persons (SPs) could have on encouraging long-term recovery, which can also impact patient treatment retention.

Methods/design

The current study adapts Community Reinforcement and Family Training (CRAFT) for use with SPs (family member, spouse or friend) of patients using buprenorphine/naloxone (buprenorphine) in an outpatient community clinic setting. The study will evaluate whether the adapted intervention, also known as integrating support persons into recovery (INSPIRE), is effective in increasing patient retention on buprenorphine when compared to usual care. We will utilize a two-group randomized design where patients starting or restarting buprenorphine will be screened for support person status and recruited with their support person if eligible. Support persons will be randomly assigned to the INSPIRE intervention, which will consist of 10 rolling group sessions led by two facilitators. Patients and SPs will each be assessed at baseline, 3 months post-baseline, and 12 months post-baseline. Patient electronic medical record data will be collected at six and 12 months post-baseline. We will examine mechanisms of intervention effectiveness and also conduct pre/post-implementation surveys with clinic staff to assess issues that would affect sustainability.

Discussion

Incorporating the patient’s support system may be an important way to improve treatment retention in medication treatments for OUD. If SPs can serve to support patient retention, this study would significantly advance work to help support the delivery of effective treatments that prevent the devastating consequences associated with OUD.

Trial registration This study was registered with ClinicalTrials.gov, NCT04239235. Registered 27 January 2020, https://clinicaltrials.gov/ct2/show/NCT04239235.

Background

Opioid use disorders (OUDs) have profound effects on family members and other support persons (SPs). Hallmark consequences of OUD at the family level include a failure to maintain role obligations at home, important activities given up because of time spent using opioids, continued use despite these problems, and significant impairment in several areas of life [1]. While studies examining the effects of OUD on SPs are sparse, some find that SPs and children of those with OUD experience negative consequences to both physical and mental health, and other quality of life issues [2]. The literature on the effects of substance use disorders on the family is well-documented and provides insights into what families affected by OUD are experiencing. Family members of persons with a substance use disorder are more likely to be diagnosed with depression, substance use disorders, health conditions, or trauma than family members of those with other chronic conditions such as diabetes or asthma. The financial burden is also high, with financial consequences associated with job loss in caring for their person, and higher healthcare costs and utilization associated with their own health and the health of their person [3].

Treatment for OUD is underutilized. Several medications, such as methadone, extended-release injectable naltrexone, and buprenorphine/naloxone (buprenorphine) are efficacious for treating OUDs and are appropriate for delivery in medical settings. Buprenorphine has several advantages over other medications for OUD because it is a feasible and effective treatment to initiate and manage OUD in primary care settings, while also decreasing craving for opioids. Despite the effectiveness of these medications and their potential for helping to combat the opioid crisis [4], only one in five people with an OUD receives medications for OUD. Additionally, standard treatment retention rates for primary care patients receiving buprenorphine for OUD in community settings are suboptimal, with approximately half of patients dropping out within the first 12 months of initiating treatment [5,6,7].

Involvement of SPs in treatment of people with OUD may prevent premature buprenorphine drop out [8]. A SP can be defined loosely as a partner, parent, other family member or close friend. The SP can be an important catalyst for engaging persons into substance use treatment because SPs are more likely to recognize warning signs of substance misuse compared to the affected individual, who may not recognize or acknowledge symptoms [9, 10]. SPs tend to be highly motivated and typically want to help their person reduce their substance use, improve their relationship, and also alleviate their own difficulties associated with their person’s substance use [11, 12]. On the other hand, SPs can perpetuate their person’s use when they unknowingly facilitate their person’s substance use, fail to recognize or reinforce their person’s steps towards recovery, or are a barrier to their person accessing effective treatments [13, 14]. Further, SPs often have concerns about their person using pharmacotherapies long term and the safety of opioid agonist therapies. In fact, a common barrier to buprenorphine retention is the assumption that buprenorphine is an addictive drug substitute [15]. Thus, engaging the SP as part of the person’s treatment process could be a crucial part of the person’s engagement with and retention in treatment.

The Community Reinforcement and Family Training (CRAFT) intervention was developed to teach the SP how to engage a treatment-resistant person into treatment through positive communication and other behavioral strategies [16, 17]. Instead of “tough love” or encouragement to “detach” from the substance user, CRAFT takes an alternate approach that emphasizes SP empathy and support. CRAFT teaches the SP supportive and non-confrontational skills to improve the relationship between the SP and person (e.g., positive communication, pleasant activity planning), and ways to recognize and reinforce their person’s behaviors that are aligned with treatment goals and recovery (e.g., rewards for sobriety; allowing their person to experience naturally occurring consequences of substance use). CRAFT utilizes functional analysis so that SPs learn about the context around their person’s substance use (e.g., patterns, triggers, rewards) and offers support for how SPs can help reduce their person’s substance use and encourage help-seeking. CRAFT has been adapted for a variety of disadvantaged populations in the U.S. and internationally in six countries [18].

CRAFT is typically composed of 12 individualized sessions that focus on positive communication and other behavioral strategies to help the SP influence their person’s drinking or drug use, and change their negative interactions [16, 17]. Studies show that when an SP receives individualized CRAFT, their person is two to three times more likely to initiate alcohol or drug treatment within 6 months compared to SPs who attend Johnson or 12-step interventions [19,20,21,22,23,24]. SPs in CRAFT also report improvements in their depression, anger expression toward partner, relationship satisfaction, and family conflict. Few studies have examined group-based CRAFT, but of those, the level of engagement into substance use treatment is similar when compared to self-guided CRAFT [20].

Research supports the effectiveness of CRAFT for treatment initiation but is lacking in two ways: [1] examination of treatment retention outcomes, and [2] application to OUD. Only a single study found that CRAFT can improve treatment retention and drug use outcomes for adults with OUD in specialty care settings compared to treatment-as-usual [8]. The proposed research adapts CRAFT for SPs of patients already engaged in buprenorphine treatment (Phase 1) and examines the effectiveness of the adapted CRAFT intervention (called INSPIRE) on patient buprenorphine retention (Phase 3). We also examine staff and clinic-level process factors that may influence implementation, effectiveness, and sustainability of the intervention in Phase 2. Our study will be the first to evaluate the impact of the intervention on both SP and patient outcome measures within the context of OUD in community health clinics (CHCs).

Specific aims and hypotheses

The Specific Aims of this project are to: [1] assess the effectiveness of INSPIRE compared to usual care (UC) on buprenorphine retention (primary outcome); [2] examine which patient sub-populations (e.g. addiction severity, race/ethnicity, SP relationship type—e.g., parents, spouse) benefit most from SP involvement in INSPIRE; and [3] assess the patient, provider, and clinic-level factors thought to influence implementation, effectiveness, and sustainability of buprenorphine and INSPIRE. We hypothesize that patients with SPs participating in INSPIRE will have greater buprenorphine retention than patients whose SPs are not participating in INSPIRE, and, consistent with existing CRAFT trials, SPs will experience improved health and quality of life [19,20,21,22,23,24,25,26,27,28,29].

Methods/design

Overview of study procedures

All procedures have been approved by an Institutional Review Board and will be renewed annually. There are three phases to the study. Phase 1 will be to adapt CRAFT for SPs of patients currently taking buprenorphine, to include content specific to buprenorphine retention and OUD. We will conduct separate focus groups with patients currently on buprenorphine and SPs affected by OUD. Phase 2 will be a clinic staff survey to assess staff acceptability of buprenorphine and INSPIRE (e.g., fit with current practices, benefit to providers and patients, effectiveness, motivation/willingness to support the intervention, attitudes toward patients with OUD) administered before and after INSPIRE is implemented. Phase 3 will be a two-arm randomized control trial (RCT) of the adapted 10-group INSPIRE intervention compared to UC. Potential patients will be screened upon starting or restarting buprenorphine at one of 12 CHCs. If patients are eligible and have an SP who agrees to participate in the study, those SPs will be randomized to either INSPIRE or UC. Because the focus of the intervention is on the SP, the study will not modify the clinical care of patients receiving buprenorphine.

Study setting

This study will take place in 12 CHCs in southern and northern California that integrate primary care and behavioral health services in areas of service need. The selected CHCs serve predominantly low-income individuals that qualify for Medical. These 12 CHCs belong to one of three larger health systems that already have established buprenorphine clinics. Some clinics have group refill models and conduct inductions at home, while other clinics prescribe buprenorphine to patients individually and conduct office-based inductions. All patients receiving buprenorphine do so on an outpatient basis. Typically, an individual interested in receiving buprenorphine calls a central phone number to schedule a phone intake with a clinic staff person who will proceed with home induction instructions and/or schedule the individual for an in-person appointment with an X-waivered provider.

Participants

In Phase 1, eligible participants will be patients 18 or older who are currently receiving buprenorphine and nominated to participate by one of their buprenorphine treatment providers. Eligible SPs will be 18 or older nominated by patients to participate. In Phase 2, staff will include all medical staff who interface with patients in buprenorphine treatment. In Phase 3, eligible study participants will be patients 18 or older who: [1] have completed at least one medication evaluation visit; [2] have no medical contra-indications to buprenorphine, as determined by the patient’s provider; and [3] have an eligible SP they are willing to have participate. Patients who are new to buprenorphine (defined as [1] not receiving a buprenorphine prescription from the study clinic in the past 90 days and [2] patients who return to buprenorphine, defined as not taking buprenorphine for seven or more days in the past 30 days) will be screened. Eligible SPs are those who are: [1] 18 or older; [2] in frequent contact with their person (three times a week or more); [3] not concerned they would be physically hurt by their person; [4] willing and available to attend sessions to address issues related to opioid use by their person if assigned to INSPIRE; [5] committed to their relationship in the next 90 days (no plans to move or end the relationship), and [6] do not currently have a problem with heroin or pain pills [21, 23]. To enroll, the patient’s SP must consent within 1 month of patient consent; this timing was determined based on feedback from providers that some SPs are reluctant to be a part of the patient’s recovery until they see them start buprenorphine. Patients and SPs must both consent for the dyad to be enrolled. According to data from the 12 CHCs, on average patients on buprenorphine were about 51% male; 62% White, 18.2% Multi-race, 13% Black/African American, 3.7% Asian/Pacific Islander, and 2.7% American Indian/Alaskan Native. Research staff will consent individuals.

Participants will be largely low-income and living in urban/suburban areas. While the clinics serve predominantly ethnic minority patients, the demographics of patients that access buprenorphine are more commonly low-income and uninsured White males. These demographics are consistent with the literature showing that rates of OUD are highest among low-income and uninsured individuals [30,31,32] and that the demographics of patients receiving buprenorphine in federally licensed opioid treatment programs are 69% White and 50% unemployed [33].

Description of INSPIRE

INSPIRE consists of ten 90-minute group sessions with SPs (see Table 1). Sessions will be open to allow new SPs to join at any session (“rolling admission”), improving feasibility and sustainability. Sessions are co-led by two medical or behavioral health staff members with knowledge and experience in cognitive behavioral therapy and/or motivational interviewing. Group facilitators are encouraged to offer group participants genuine affirmations throughout sessions. INSPIRE retains important elements of CRAFT that teach the SP supportive skills to cope with their person’s substance use (e.g., positive communication, pleasant activity planning), and ways to interact with their partner through behavioral strategies (e.g., rewards for sobriety, letting natural consequences occur from substance use; see Fig. 1). The sessions also utilize functional analysis or roadmaps so that SPs learn about the context around their person’s substance use (e.g., patterns, triggers, rewards) and offers support for how SPs can help reduce their person’s substance use and encourage help-seeking. The goals of the INSPIRE sessions will be to teach SPs strategies to help their person reduce/refrain from using substances. It focuses on improving the lives of both the SPs and the individuals struggling with substance use.

Table 1 Proposed INSPIRE sessions
Fig. 1
figure 1

Core functions of CRFAT

Each session begins with a welcome and overview that reviews the guidelines for the group. Then, facilitators review practice assignments from the prior session, discuss the session topic, and wrap up with practice for the next week. The sessions are interactive, encouraging participants to practice skills using role plays, pair shares, and other group exercises. Because each unit is self-contained and includes a review of the rationale and skill guidelines, the group can have rolling admission. Rolling groups are common and more sustainable than closed groups in community settings [34,35,36,37,38,39], which makes the proposed INSPIRE groups comparable to UC.

Procedures

Phase 1

The purpose of Phase 1 is to adapt CRAFT to be suitable for CHCs serving patients already engaged in buprenorphine treatment and to receive feedback from patients, SPs, and other stakeholders to determine if INSPIRE is appropriate and helpful.

Involving stakeholders in the adaptation

In Phase 1, we will ensure that the INSPIRE intervention is relevant for diverse SPs and feasible to administer as group sessions within the CHC setting. We will follow Barrera and Castro’s [40] framework, which includes information gathering from key informants (i.e., patients, SPs, counselors, CHC administrators), preliminary adaptation of the INSPIRE manual, pilot testing using SP focus groups, and further revisions incorporating feedback from the focus groups. Our goal is to ensure that INSPIRE is compatible for SPs of patients already in buprenorphine treatment, and that we maintain fidelity to the core elements of CRAFT.

First, we will engage a patient and SP stakeholder panel, which consists of patients and SPs who have been and/or are currently affected by OUD and other substance use disorders. They are intended to represent the population of interest on this project but are currently not in treatment (to avoid dual roles). The patients are from the CHCs participating in the study and have longstanding relationships with the clinic as peer navigators and/or serve on the clinic’s board of directors to advocate on behalf of other patients. The SPs are parents and partners affected by OUD, some of whom have experienced tragic loss from OUD and others who have utilized CRAFT with their family members. Several of the SPs have established foundations to help other families affected by substance use. We will also gather input and feedback from a clinic stakeholder panel, composed of medical and behavioral health providers at each of the participating clinics, who actively serve patients on buprenorphine and provide services to their SPs. CHC administrators are also included. Both stakeholder panels will meet once a month.

Finally, we will gather information by conducting two focus groups, one with patients and one with SPs. These focus groups will each consist of 8-10 existing patients and SPs recruited from one CHC. The focus groups will elicit general reactions about INSPIRE, potential session topics, and important adaptations we need to account for when adapting the INSPIRE intervention (e.g., what psychoeducation about buprenorphine and OUD would SPs want to know about?). During the SP focus group, we will demonstrate parts of the INSPIRE sessions and then ask SPs for their feedback. Our final step in the intervention adaptation process will be to revise our manual to incorporate suggestions commonly brought up across the stakeholder meetings and focus groups.

Focus group recruitment

We will recruit patients at the participating CHCs who are already in buprenorphine treatment because we want feedback about their experiences with their SP as they started medication; we also want their opinions regarding recruitment procedures for the randomized trial. Patients will be recruited at medication refill groups by case managers and counselors who will briefly describe the focus group and pass out a flyer with RAND’s contact information and instructions how to sign up for the group. Patients are also asked for nominations of SPs who would be interested in a SP focus group. Individuals who attend the two-hour focus group will receive $50 remuneration.

Phase 1 analysis plan

Focus groups will be audio recorded. Following grounded theory analyses [41], we will discuss each category and generate underlying themes. Classic content analysis will be used to identify quotes that fit each theme [42, 43]. Then, we will sort quotes by theme and reach a consensus on any discrepancies. This analysis will allow us to understand feasibility and acceptability and will inform the delivery of INSPIRE in a diverse CHC setting.

Phase 2

The purpose of Phase 2 is to assess staff and clinic-level process factors thought to influence implementation, effectiveness, and sustainability of INSPIRE. Assessing contextual factors that could affect implementation is important for two reasons. First, it will help us interpret differences in intervention effects (if any) between clinics. Second, it will help increase the speed of translation of the INSPIRE intervention into practice, by informing further adaptation of the intervention protocol and by identifying provider factors that could impede or facilitate future implementation.

We will conduct two surveys with study staff at each clinic (pre- and post-RCT) to assess staff acceptability of buprenorphine and INSPIRE. The survey will include questions related to the implementation of INSPIRE including its acceptability, ease of use, fit with current practices, provider motivation and willingness to implement new practices, and attitudes. These questions are based on organizational theory suggesting associations between these factors and successful and sustained implementation of new practices within organizations [44, 45]. Attitudes about people with OUDs, such as stigma, and about buprenorphine in general may also affect how buprenorphine treatment and INSPIRE are implemented [46, 47]. We assess these factors at two time points because participation in the study could change attitudes about buprenorphine and INSPIRE over time, and changes in attitudes could affect variation in effects as well as the likelihood of sustainability, if effective. We will also conduct interviews with providers, patients, and SPs who participate in INSPIRE (post-RCT only) to assess acceptability of INSPIRE and of receiving INSPIRE through CHCs, and factors that could improve the intervention.

Staff recruitment

Participants will be medical and behavioral health providers working in the 12 CHCs who treat individuals with OUD. These include staff of varying clinic backgrounds ranging from medical assistants, nurses, psychologists, and physicians from primary care and/or the buprenorphine clinics. We will obtain staff lists and email addresses from each clinic. We will use a combination of in-person and web-based surveys. Where possible, we will distribute surveys at staff meetings in person. Surveys will also be emailed to providers via a web link. Mixed-modes are often used in survey research to meet the challenge of declining response rates, coverage problems in single-mode surveys and the development of web surveys [48]. Using these two modes (web survey and paper/pen) from prior surveys in a primary care study, along with a series of email reminders, we achieved an overall response rate across all staff members of 84–90% across four time points [49]. Providers will be offered the opportunity to win a $100 gift card, with three to four winners from each clinic drawn after each wave. Surveys will be conducted in year 1 prior to the RCT, and in year 4, after the RCT.

Phase 2 analysis plan

We will conduct analyses of contextual factors from the provider survey data to help put into context the findings of the RCT, particularly if we observe differences in outcomes across sites. We will conduct bivariate tests of whether provider attitudes at baseline and at follow-up significantly differ across sites. We will examine whether contextual factors and provider attitudes are associated with differences in patient outcomes between sites. Our exploratory hypotheses are that clinics with higher organizational context scores (e.g., less burnout, greater acceptability of new practices, more positive attitudes towards people with OUD) will have greater retention of patients in OUD treatment than clinics with lower scores.

Phase 3

The purpose of Phase 3 is to determine the effectiveness of a 10-session INSPIRE intervention compared to UC on patient buprenorphine retention. Recruitment will be conducted through the 12 CHCs. Patients who wish to initiate buprenorphine call the CHCs appointment scheduler, who will schedule the patient for an initial evaluation with an X-waivered medical provider (see Fig. 2). Medical providers will assess the patient’s eligibility for buprenorphine and if they do not present with any medical complications, the patient will be eligible for the study. The medical provider or other clinic staff will then ask whether the patient has a SP that lives locally and with whom they are in frequent contact. If the patient reports having an SP, the staff person will ask whether the SP currently has a heroin or pain pill problem. If the patient reports the SP does not have problems with opioids, the clinic staff member will obtain the patient’s consent to provide the patient’s contact information to RAND and will inform RAND staff of a potential eligible patient.

Fig. 2
figure 2

Study flow

RAND will contact the patient and describe the study in more detail. A RAND study team member will meet patients in person at the clinic, however, if in-person contact is not feasible, this procedure could occur by phone. RAND staff will ask patients for permission to contact their SP. The goal would be to identify SPs who have a significant impact on their life [50]. RAND will recruit the patient at their first or second visit with the medical provider as some patients may be in withdrawal at their first visit. SPs will be recruited within a month of the patient’s consent.

Once enrolled in the study, patients and SPs will be interviewed separately at all time points (baseline, 3, 12 months). Participants will receive a $5 incentive for screening, $30 for the baseline interview survey, $30 for the 3-month interview and $40 for the 12-month interview. In addition, SPs assigned to INSPIRE may receive transportation and/or childcare remuneration to attend sessions as needed. All participants and SPs will be contacted for follow-up, regardless of whether they complete INSPIRE or UC, and we will conduct intent-to-treat analyses. A total of 770 dyads are expected to consent to the study, resulting in a total of 616 dyads at 3-month follow-up (assuming 80% retention) and 500 dyads at 12-month follow-up (assuming 65% retention) (see Fig. 3). To ensure robust follow-up rates, we will obtain detailed information at baseline on how to reach participants and use proven methods to minimize attrition, including an in-person baseline interview to build rapport, obtaining multiple contacts (friends/families/service providers) at baseline for individuals who would know the participants’ whereabouts, and phone/mail/text/social media reminders prior to follow-up.

Fig. 3
figure 3

Study flow

We will examine patient electronic medical records (EMRs) to assess buprenorphine medication retention (i.e., no more than a 7-day lapse between prescriptions) [51, 52], healthcare utilization (e.g., number of medical and behavioral health visits), and results of urine tests (e.g., presence of buprenorphine and other opioids). All data will be stored on encrypted laptops used only for research purposes that require staff to login and provide a personal password to access. Files that have personally identified health information will also be password protected.

Randomization will conducted by research staff at the dyad-level such that patients and SPs both need to consent to be randomized. Dyads will be stratified by clinic and by SP type. We will stratify participating SPs who are patients’ parents equally to INSPIRE or UC because of existing CRAFT studies showing a stronger effect of CRAFT for parents [8] using permuted block randomization with random size blocks. This ensures the number of people allocated to each group is approximately equal throughout recruitment [53]. Data collectors will not be blind to SP intervention condition because they will need to schedule SPs for the INSPIRE class, but are independent and not part of the core research team. In addition, to minimize bias, they will emphasize to participants that their responses would be confidential and not conveyed to the clinics, will conduct follow-up interviews outside of the clinic, and will build rapport with participants to increase self-report validity.

INSPIRE facilitators and training

Medical and behavioral health staff members who will be facilitating INSPIRE groups (selected nurses, case managers, peer recovery specialists, and licensed social workers) from each CHC will attend a 1-day training, conducted by the study team. The training will involve a mix of didactic presentation, demonstration, and practice sessions involving role-plays. Role-plays are central to practicing INSPIRE and are highlighted throughout the training to give facilitators the opportunity to practice and receive feedback. The training will focus on group facilitation skills, safety planning, enhancing SP motivation to engage in INSPIRE, and the importance of helping the SP to increase positive interactions between the SP and patient. Key techniques, such as communication and recognizing and reinforcing positive behaviors, will be taught. Skills also include ways to reinforce and shape patient behaviors with an emphasis on refraining from interfering in naturally occurring OUD consequences. The training will focus on ways the SPs can respond to problematic patient behaviors, as well as problem-solving and ways to facilitate patients’ retention in buprenorphine. Staff will receive weekly supervision thereafter and will be monitored using a fidelity checklist.

INSPIRE adherence monitoring and supervision

We will use methods from our previous studies to assess adherence to session content [54, 55]. A basic checklist will be developed outlining each session’s content. All sessions will be audio recorded and files will be uploaded by facilitators to a secure web server. Session recordings will be reviewed and coded by the INSPIRE trainer and supervisor who will code whether content was discussed and rate the facilitators’ proficiency discussing the content. Weekly phone supervision will also take place where experiences from the prior group are discussed, feedback from recordings provided, and review of next session’s content is outlined and practiced. The intervention will be modified or stopped as determined by the DSMB and IRB if there is clear evidence of harm (e.g., worsening symptoms), a favorable benefit:risk ratio, or an unfavorable risk:benefit ratio. All adverse events will be recorded and communicated to the sponsor, DSMB and IRB per our Data Safety Monitoring Plan protocol. Any modifications to the protocol will be reported to relevant parties including the investigators, participants, sponsor, IRB, and clinicaltrials.gov where the study is registered.

Usual care

All patients will be receiving buprenorphine as part of usual procedures in the clinic. Services available for SPs vary by clinic and may include individual behavioral health counseling, psychoeducation groups, and standard primary care services. We will collect information from support persons in UC about the services they received to further quantify this condition.

Outcomes

Our primary outcome is patient retention on buprenorphine, measured using data from the EMR, defined as buprenorphine prescriptions of at least 6 and 12 months with no more than a 7-day lapse between prescriptions (see Table 2) [8, 51, 52, 56]. We have two sets of secondary outcomes that correspond to the effectiveness of INSPIRE (specific aim 1). For the patient, we will validate adherence using urine test results in the EMR for buprenorphine metabolites, and will assess, through patient self-report, patient opioid and other substance use in the past month, overdose risk, substance use problems, health, other employment, quality of life, communication, employment, and treatment satisfaction. For the SP, our secondary outcomes are self-reported and will include the SP’s physical and mental health (depression and anxiety), substance use, quality of life, and relationship quality with their person. These outcomes have been validated with high psychometric properties in existing CRAFT trials [8, 19,20,21,22,23,24]. Self-report will be assessed via in-person interview during baseline, and phone-based interviews at 3- and 12-month follow-ups. RAND staff who conduct interviews will be masked to condition.

Table 2 Outcome measures
Phase 3 sample size and power

We focus our power calculations for the pre-specified comparative effectiveness analyses on the primary outcome of retention at 12 months, for which we will have 250 dyads per condition (N = 500 dyads total). Based on literature, we assume 51% of patients in OBOT will be retained in treatment [65]. We would have 80% power (alpha = 0.05/2, two-sided, two-sample test) to detect a difference of 51% versus 65% between OBOT and CRAFT + OBOT. Our ability to detect this effect is plausible, considering Roozen et al. [23] reported an even larger difference of 30% versus 64% in a systematic review of CRAFT for substance abuse treatment. Given this primary statistical test and the pre-specified heterogeneity of treatment effect (HTE) analysis examining retention described below, we adjust for multiple comparisons by using an alpha level of 0.05/2. To further account for multiple statistical testing given that we will also conduct secondary analyses, we will compute and report false discovery rates [66].

Phase 3 analysis plan

Our data monitoring team consist of a programming analyst and statistician who work at RAND and are independent of competing interests. The statistician will supervise the programmer in analyses and will convey to the core research team their analytic process and findings. Specifically, they will use generalized linear mixed models to compare primary and secondary outcomes for patients with SPs in INSPIRE versus UC at 3- and 12-month follow-ups. They will also examine patient treatment retention at 6 and 12 months using medical records. They will include baseline characteristics in the models and do not plan to link 3-month interview data to retention outcomes, thereby allowing us to examine short-, medium-, and long-term outcomes in this study. Fixed effects for clinic and SP type (parent vs. other) will be included as covariates to account for the stratified study design [67] and random intercept terms to model correlation among repeated measures within patient, while controlling for additional patient characteristics (age, gender, race/ethnicity, addiction severity). They will modify the model accordingly if diagnostics indicate the model assumptions are violated. To handle missing data, we may use covariate adjustment and weighting, assuming data are missing at random and multiple imputation. Sensitivity of results to missing data will be assessed by examining whether baseline characteristics of the sample, including treatment assignment, differ for study completers versus drop-outs.

Findings will be disseminated at professional conferences and scientific manuscript publication. Data sharing agreements may be possible after the main project findings are accepted for publication.

Discussion

The proposed research fills at least four gaps. First, buprenorphine retention is poor and this negatively impacts OUD treatment outcomes. The proposed research examines whether group-based INSPIRE helps retain patients in primary-care-based buprenorphine treatment. To date, only one small study (N = 52 dyads) has examined individual-based CRAFT for OUD during the transition between opioid detoxification and specialty outpatient treatment. The study found moderate effects on treatment retention and patient opioid and other drug use 9 months later [8]. Our study will be the first to evaluate 12-month retention outcomes for patients receiving buprenorphine in CHCs where primary care and behavioral health are integrated. Our study has the advantage of measuring long-term retention through EMRs, which existing CRAFT trials have not done. Second, CRAFT has been evaluated mostly in the community where SPs are recruited through local advertisements; this will be the first study to evaluate an adapted CRAFT intervention in CHCs that serve predominantly low-income populations. Third, we evaluate INSPIRE on both patient and SP outcomes, and whether SP relationship type (e.g., parent vs. other) affects patient outcomes. This fills research gaps because most existing CRAFT trials measure patient outcomes through SP, do not evaluate long-term SP outcomes, and do not stratify recruitment by SP relationship type. Finally, our study will be the first to evaluate the impact of INSPIRE on both SP and patient outcome measures of physical and mental health, quality of life, and relationship quality. The proposed study not only fills these critical gaps in the literature, but also provides data to inform a much-needed new way to address the opioid epidemic.

Availability of data and materials

Not applicable.

Abbreviations

CHC:

Community health clinic

CRAFT:

Community Reinforcement and Family Training

EMR:

Electronic medical record

FACES IV:

Family Adaptability and Cohesion Scale IV

INSPIRE:

Integrating support persons into recovery

OUD:

Opioid use disorder

P INT:

Patient interview

RCT:

Randomized control trial

SP:

Support person

SP INT:

Support person interview

UC:

Usual care

OBOT:

Office-based opioid treatment

References

  1. American Psychiatric Association. Diagnostic and statistical manual of mental disorders. Washington, DC: American Psychiatric Association; 2013.

    Google Scholar 

  2. Daley D, Smith E, Balogh D, Toscaloni J. Forgotten but not gone: the impact of the opioid epidemic and other substance use disorders on families and children. Commonwealth. 2018;20:2–3.

    Google Scholar 

  3. Weisner C, Parthasarathy S, Moore C, Mertens JR. Individuals receiving addiction treatment: are medical costs of their family members reduced? Addiction. 2010;105(7):1226–34.

    PubMed  PubMed Central  Google Scholar 

  4. Secretary Price Announces HHS strategy for fighting opioid crisis [press release]. Atlanta, GA: U.S. Department of Health and Human Services. 2017.

  5. Weinstein ZM, Kim HW, Cheng DM, Quinn E, Hui D, Labelle CT, et al. Long-term retention in office based opioid treatment with buprenorphine. J Subst Abuse Treat. 2017;74:65–70.

    PubMed  Google Scholar 

  6. Soeffing JM, Martin LD, Fingerhood MI, Jasinski DR, Rastegar DA. Buprenorphine maintenance treatment in a primary care setting: outcomes at 1 year. J Subst Abuse Treat. 2009;37(4):426–30.

    PubMed  Google Scholar 

  7. Simon CB, Tsui JI, Merrill JO, Adwell A, Tamru E, Klein JW. Linking patients with buprenorphine treatment in primary care: predictors of engagement. Drug Alcohol Depend. 2017;181:58–62.

    PubMed  Google Scholar 

  8. Brigham GS, Slesnick N, Winhusen TM, Lewis DF, Guo X, Somoza E. A randomized pilot clinical trial to evaluate the efficacy of Community Reinforcement and Family Training for Treatment Retention (CRAFT-T) for improving outcomes for patients completing opioid detoxification. Drug Alcohol Depend. 2014;138:240–3.

    PubMed  PubMed Central  Google Scholar 

  9. Kaufmann M. Recognizing the signs and symptoms of distress. Ontario Med Rev. 1999;66(5):46–7.

    Google Scholar 

  10. Sobell MB, Sobell LC. Problem drinkers: guided self-change treatment. New York: Guilford Press; 1993.

    Google Scholar 

  11. Halford WK, Osgarby SM. Alcohol abuse clients presenting with marital problems. J Fam Psychol. 1993;6:245–54.

    Google Scholar 

  12. Thomas EJ, Agar RD. Unilateral family therapy with the spouses of uncooperative alcohol abusers. In: O’Farrell TJ, editor. Treating alcohol problems: marital and family interventions. New York: Guilford Press; 1993. p. 3–33.

    Google Scholar 

  13. Stuart RB. Operant-interpersonal treatment for marital discord. J Consult Clin Psychol. 1969;33(6):675–82.

    CAS  PubMed  Google Scholar 

  14. Weiss RL, Hops H, Patterson GR. A framework for conceptualizing marital conflict: a technology for altering it, some data for evaluating it. In: Handy LD, EJ Mash, editors. Behavior change: methodology, concepts, and practice champaign. Champaign: Research Press; 1973. p. 309–42.

    Google Scholar 

  15. National Institute on Drug Abuse. Medications to treat opioid use disorder 2018.

  16. Meyers RJ, Wolfe BL. Get your loved one sober: alternatives to nagging, pleading and threatening. Center City: Hazelden; 2004.

    Google Scholar 

  17. Smith JE, Meyers RJ. Motivating substance abusers to enter treatment: working with family members. 1st ed. New York: The Guilford Press; 2007.

    Google Scholar 

  18. SAMHSA. Community Reinforcement and Family Training (CRAFT) Intervention Summary 2013. https://nrepp.samhsa.gov/Legacy/ViewIntervention.aspx?id=378.

  19. Kirby KC, Versek B, Kerwin ME, Meyers K, Benishek LA, Bresani E, et al. Developing Community Reinforcement and Family Training (CRAFT) for parents of treatment-resistant adolescents. J Child Adolesc Subst Abuse. 2015;24(3):155–65.

    PubMed  PubMed Central  Google Scholar 

  20. Manuel JK, Austin JL, Miller WR, McCrady BS, Tonigan JS, Meyers RJ, et al. Community Reinforcement and Family Training: a pilot comparison of group and self-directed delivery. J Subst Abuse Treat. 2012;43(1):129–36.

    PubMed  Google Scholar 

  21. Meyers RJ, Miller WR, Smith JE, Tonigan JS. A randomized trial of two methods for engaging treatment-refusing drug users through concerned significant others. J Consult Clin Psychol. 2002;70(5):1182–5.

    PubMed  Google Scholar 

  22. Miller WR, Meyers RJ, Tonigan JS. Engaging the unmotivated in treatment for alcohol problems: a comparison of three strategies for intervention through family members. J Consult Clin Psychol. 1999;67(5):688–97.

    CAS  PubMed  Google Scholar 

  23. Roozen HG, de Waart R, van der Kroft P. Community reinforcement and family training: an effective option to engage treatment-resistant substance-abusing individuals in treatment. Addiction. 2010;105(10):1729–38.

    PubMed  Google Scholar 

  24. Waldron HB, Kern-Jones S, Turner CW, Peterson TR, Ozechowski TJ. Engaging resistant adolescents in drug abuse treatment. J Subst Abuse Treat. 2007;32(2):133–42.

    PubMed  Google Scholar 

  25. Osilla KC, Pedersen ER, Tolpadi A, Howard SS, Phillips JL, Gore KL. The feasibility of a web-intervention for military veteran spouses concerned about their partner’s alcohol misuse. J Behav Health Serv Res. 2018;45(1):57–73.

    PubMed  PubMed Central  Google Scholar 

  26. Osilla KC, Trail TE, Pedersen ER, Gore KL, Tolpadi A, Rodriguez LM. Efficacy of a web-based intervention for concerned spouses of service members and veterans with alcohol misuse. J Marit Fam Ther. 2017;44:292–306.

    Google Scholar 

  27. Rodriguez LM, Neighbors C, Osilla KC, Trail TE. The longitudinal effects of military spouses’ concern and behaviors over partner drinking on relationship functioning. Alcohol. 2019;76:29–36. https://0-doi-org.brum.beds.ac.uk/10.1016/j.alcohol.2018.07.004.

    Article  PubMed  Google Scholar 

  28. Rodriguez LM, Osilla KC, Trail TE, Gore KL, Pedersen ER. Alcohol use among concerned partners of heavy drinking service members and veterans. J Marit Fam Ther. 2017;44(2):277–91.

    Google Scholar 

  29. Pedersen E, Osilla K, Hemluth E, Tolpadi A, Gore K. Reaching concerned partners of heavy drinking service members and veterans through Facebook. Milit Behav Health. 2017;5(3):265–73.

    Google Scholar 

  30. Jones CM. The paradox of decreasing nonmedical opioid analgesic use and increasing abuse or dependence—an assessment of demographic and substance use trends, United States, 2003–2014. Addict Behav. 2017;65:229–35.

    PubMed  Google Scholar 

  31. Saha TD, Kerridge BT, Goldstein RB, Chou SP, Zhang H, Jung J, et al. Nonmedical prescription opioid use and DSM-5 nonmedical prescription opioid use disorder in the United States. J Clin Psychiatry. 2016;77(6):772–80.

    PubMed  PubMed Central  Google Scholar 

  32. Wu LT, Zhu H, Swartz MS. Treatment utilization among persons with opioid use disorder in the United States. Drug Alcohol Depend. 2016;169:117–27.

    PubMed  PubMed Central  Google Scholar 

  33. Hser YI, Saxon AJ, Huang D, Hasson A, Thomas C, Hillhouse M, et al. Treatment retention among patients randomized to buprenorphine/naloxone compared to methadone in a multi-site trial. Addiction. 2014;109(1):79–87.

    PubMed  Google Scholar 

  34. Miranda J, Azocar F, Organista KC, Dwyer E, Areane P. Treatment of depression among impoverished primary care patients from ethnic minority groups. Psychiatr Serv. 2003;54(2):219–25.

    PubMed  Google Scholar 

  35. Kuneman ES. Enhancing group cognitive behavioral therapy for Hispanic/Latino clients with depression: Recommendations for culturally sensitive practice. Psychology Dissertations. 2010. Paper 77. http://digitalcommons.pcom.edu/psychology_dissertations/.

  36. Aguilera A, Garza MJ, Munoz RF. Group cognitive-behavioral therapy for depression in Spanish: culture-sensitive manualized treatment in practice. J Clin Psychol. 2010;66(8):857–67.

    PubMed  PubMed Central  Google Scholar 

  37. González-Prendes AA, Hindo C, Pardo Y. Cultural values integration in cognitive-behavioral therapy for a Latino with depression. Clin Case Stud. 2011;10(5):376–94.

    Google Scholar 

  38. Miranda J, Bernal G, Lau A, Kohn L, Hwang WC, LaFromboise T. State of the science on psychosocial interventions for ethnic minorities. Annu Rev Clin Psychol. 2005;1:113–42.

    PubMed  PubMed Central  Google Scholar 

  39. Wells K, Sherbourne C, Schoenbaum M, Ettner S, Duan N, Miranda J, et al. Five-year impact of quality improvement for depression: results of a group-level randomized controlled trial. Arch Gen Psychiatry. 2004;61(4):378–86.

    PubMed  Google Scholar 

  40. Barrera M, Castro FG. A heuristic framework for the cultural adaptation of interventions. Clin Psychol Sci Pract. 2006;13(4):311–6.

    Google Scholar 

  41. Strauss AC, Corbin J. Basics of qualitative research: techniques and procedures for developing grounded theory. Thousand Oaks: Sage Publications, Inc.; 1998.

    Google Scholar 

  42. Krippendorf K. Content analysis: An introduction to its methodology. Beverly Hills: Sage Publications; 1980.

    Google Scholar 

  43. Weber RP. Basic content analysis. Newbury Park: Sage Publications, Inc.; 1990.

    Google Scholar 

  44. Rogers E. Diffusion of innovations. 4th ed. New York: The Free Press; 1995.

    Google Scholar 

  45. Weiner BJ, Lewis MA, Linnan LA. Using organization theory to understand the determinants of effective implementation of worksite health promotion programs. Health Educ Res. 2009;24(2):292–305.

    PubMed  Google Scholar 

  46. Chappel JN, Veach TL, Krug RS. The substance abuse attitude survey: an instrument for measuring attitudes. J Stud Alcohol. 1985;46(1):48–52.

    CAS  PubMed  Google Scholar 

  47. Friedmann PD, Hoskinson R, Gordon M, Schwartz R, Kinlock T, Knight K, et al. Medication-assisted treatment in criminal justice agencies affiliated with the criminal justice-drug abuse treatment studies (CJ-DATS): availability, barriers, and intentions. Subst Abuse. 2012;33(1):9–18.

    Google Scholar 

  48. Pew Research Center. Collecting Survey Data. 2016.

  49. Ober AJ, Watkins KE, Hunter SB, Ewing B, Lamp K, Lind M, et al. Assessing and improving organizational readiness to implement substance use disorder treatment in primary care: findings from the SUMMIT study. BMC Fam Pract. 2017;18(1):107.

    PubMed  PubMed Central  Google Scholar 

  50. University of New Mexico. IMPORTANT PEOPLE Initial Interview (IPI) 2006. https://casaa.unm.edu/inst/Important%20People%20Initial%20Interview.pdf.

  51. National Quality Forum. Behavioral Health 2016–2017. Washington, DC: National Quality Forum; 2017.

    Google Scholar 

  52. Watkins KE, Pincus HA, Paddock S, Smith B, Woodroffe A, Farmer C, et al. Care for veterans with mental and substance use disorders: good performance, but room to improve on many measures. Health Aff. 2011;30(11):2194–203.

    Google Scholar 

  53. Pocock S. Clinical Trials: A practical approach. Chichester: Wiley; 1984.

    Google Scholar 

  54. Osilla KC, Watkins KE, D’Amico EJ, McCullough CM, Ober AJ. Effects of motivational interviewing fidelity on substance use treatment engagement in primary care. J Subst Abuse Treat. 2018;87:64–9.

    PubMed  PubMed Central  Google Scholar 

  55. Osilla KC, Paddock SM, McCullough CM, Jonsson L, Watkins KE. Randomized clinical trial examining cognitive behavioral therapy for individuals with a first-time DUI offense. Alcohol Clin Exp Res. 2019;43(10):2222–31.

    PubMed  Google Scholar 

  56. Nordstrom BR, Saunders EC, McLeman B, Meier A, Xie H, Lambert-Harris C, et al. Using a learning collaborative strategy with office-based practices to increase access and improve quality of care for patients with opioid use disorders. J Addict Med. 2016;10(2):117–23.

    PubMed  Google Scholar 

  57. Center for Behavioral Health Statistics and Quality. 2018 National Survey on Drug Use and Health (NSDUH): CAI Specifications for Programming (English Version). Rockville: Substance Abuse and Mental Health Services Administration; 2017.

    Google Scholar 

  58. Ehrman RN, Robbins SJ. Reliability and validity of 6-month timeline reports of cocaine and heroin use in a methadone population. J Consult Clin Psychol. 1994;62(4):843–50.

    CAS  PubMed  Google Scholar 

  59. Fals-Stewart W, O’Farrell TJ, Freitas TT, McFarlin SK, Rutigliano P. The timeline followback reports of psychoactive substance use by drug-abusing patients: psychometric properties. J Consult Clin Psychol. 2000;68(1):134–44.

    CAS  PubMed  Google Scholar 

  60. Bohnert ASB, Bonar EE, Cunningham R, Greenwald MK, Thomas L, Chermack S, et al. A pilot randomized clinical trial of an intervention to reduce overdose risk behaviors among emergency department patients at risk for prescription opioid overdose. Drug Alcohol Depend. 2016;163:40–7.

    PubMed  Google Scholar 

  61. Sheehan DV. Sheehan Disability Scale (SDS)—overview. 1983.

  62. Olson DH, Gorall DM, Tiesal JW. FACES IV Package: Administration Manual. Life Innovations. 2006.

  63. Center for Behavioral Health Statistics and Quality. 2014 Natuibak Syrvet ib drug use and health: methodological summary and definitions. Rockville: Substance Abuse and Mental Health Services Administration; 2015.

    Google Scholar 

  64. Attkisson CC, Zwick R. The client satisfaction questionnaire. Psychometric properties and correlations with service utilization and psychotherapy outcome. Eval Program Plann. 1982;5(3):233–7.

    CAS  PubMed  Google Scholar 

  65. Alford DP, LaBelle CT, Kretsch N, Bergeron A, Winter M, Botticelli M, et al. Collaborative care of opioid-addicted patients in primary care using buprenorphine five-year experience. Archiv Intern Med. 2011;171(5):425–31.

    Google Scholar 

  66. Benjamini Y, Hochberg Y. Controlling the false discovery rate—a practical and powerful approach to multiple testing. J R Stat Soc B. 1995;57(1):289–300.

    Google Scholar 

  67. Kahan BC, Morris TP. Reporting and analysis of trials using stratified randomisation in leading medical journals: review and reanalysis. BMJ. 2012;345:e5840.

    PubMed  PubMed Central  Google Scholar 

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Acknowledgements

The authors would like to thank Jordan Higginson for her editorial assistance and the many stakeholders at the collaborating clinics without whom this research would not be possible.

Funding

This work was supported through a Patient-Centered Outcomes Research Institute (PCORI) Project Program Award (OBOT-2018C2-12876). All statements in this manuscript, including its findings and conclusions, are solely those of the authors and do not necessarily represent the views of PCORI, its Board of Governors, or Methodology Committee.

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All authors conceptualized the study and obtained funding. KCO has overall responsibility for the execution of the study including implementation of INSPIRE, data collection, analyses, and reporting. KB is leading the data collection procedures and JM is leading the INSPIRE adaptation, training, and implementation. KCO and JM will lead focus groups. AO will lead implementation of the staff surveys. All authors will assist with the design and evaluation of the RCT. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Karen Chan Osilla.

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The present study was approved by RAND’s Human Subjects Protection Committee on December 12, 2019 (2019-0432-AM01).

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The authors declare that they have no competing interests.

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Osilla, K.C., Becker, K., Ecola, L. et al. Study design to evaluate a group-based therapy for support persons of adults on buprenorphine/naloxone. Addict Sci Clin Pract 15, 25 (2020). https://0-doi-org.brum.beds.ac.uk/10.1186/s13722-020-00199-2

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