Supporting Implementation Through Online Learning Communities: Lessons Learned From a National Training and Technical Assistance Network.

Recent implementation science frameworks highlight the role of training and technical assistance (TTA) in building workforce capacity to implement evidence-based practices (EBPs). However, evaluation of TTA is limited. We describe three case examples that highlight TTA by three regional centers in the national Mental Health Technology Transfer Center (MHTTC) network. Each MHTTC formed Learning Communities (LCs) to facilitate connections among behavioral health professionals with the goals of sharing implementation strategies, discussing best-practices, and developing problem solving techniques. Data on outcomes were collected through a combination of self-report surveys and qualitative interviews. LC participants reported strong connectedness, gains in knowledge and skills, improvements in implementation capacity, and intentions to advocate for organizational and systems-level change. Furthermore, across the case examples, we identified LC characteristics that are associated with participant perceptions of outcomes, including tailoring LC content to workforce needs, providing culturally relevant information, engaging leaders, forming connections among participants and trainers, and challenging participants' current workplace practices. These findings are interpreted through the lens of the Interactive Systems Framework, which focuses on how TTA, such as LCs, can facilitate connections between the theoretical and empirical foundations of interventions and the practices of implementing interventions in real-world settings to advance workforce capacity.

The association between attitudes and the provision of medications for opioid use disorder (MOUD) in United States jails.

Background: Opioid use disorder is prevalent among individuals who are incarcerated, yet medications for opioid use disorder (MOUD) are not widely available in United States jails and prisons. Negative staff attitudes across the criminal legal system may prevent MOUD from being provided. We sought to determine if staff attitudes are associated with the provision of MOUD in prisons or jails. Methods: 227 staff members of 43 jails and partnering community-based treatment providers answered questions on the effectiveness and acceptability of methadone, buprenorphine, and naltrexone. Response patterns were summarized with principal component analysis. Mixed-effects regression was performed to determine if attitudes toward MOUD were associated with the number of individuals screened and diagnosed with an OUD, referred to treatment, provided MOUD and referred to treatment after release. Results: Sites whose staff had negative attitudes towards methadone and positive attitudes towards naltrexone were associated with fewer people being screened (Mean ratio [MR] = 0.84, 95 % CI: [0.72, 0.97]), diagnosed (MR = 0.85, 95 % CI: [0.73, 0.99]), referred (MR = 0.76, 95 % CI: [0.65, 0.89]), provided MOUD (MR = 0.70, 95 % CI: [0.58, 0.84]), and referred after release (MR = 0.82, 95 % CI: [0.72, 0.94]). Sites with overall positive attitudes towards all MOUD were associated with more people being screened (MR = 1.16, 95 % CI: [1.01, 1.34]), diagnosed (MR = 1.37, 95 % CI: [1.18, 1.60]), and referred to treatment (MR = 1.41, 95 % CI: [1.20, 1.65]). Conclusions: Attitudinal barriers exist in the criminal legal system and are associated with the provision of MOUD.

Patient Preferences for Mobile Health Applications to Support Recovery.

INTRODUCTION: Smartphone apps to support individuals in recovery from substance use disorders (SUDs) are increasingly available. Although many people with SUDs express interest in recovery support apps, few try them or use them long-term. Strategies like gamification and contingency management are increasingly being considered to sustain engagement. This study sought to describe features of a recovery support app called the Addiction version of the Comprehensive Health Enhancement Support System (A-CHESS) that are most used by individuals in SUD recovery and what makes individuals more likely to use these apps. METHODS: A total of 202 people with A-CHESS accounts completed an online survey assessing their experiences using A-CHESS between April and June 2021. We described app features reported to be most beneficial for managing anxiety, loneliness, and isolation during COVID-19; reasons for not using A-CHESS; and suggested app features for future recovery support apps. RESULTS: Respondents had a mean age of 41 years, 85% were White, and 61% were female. Respondents reported that app features related to messaging (ie, open discussion boards and private messaging) and informational or motivational resources were the most useful for managing isolation, anxiety, and loneliness. Reasons for not using A-CHESS were not knowing how to use the app and the app not being part of a personalized treatment plan. The most common suggested components for future apps were rewards for meeting goals and a support meeting locator. CONCLUSIONS: Ensuring that health apps are intuitive and include features that appeal to patients and educating patients about features apps already include that help them meet goals may enhance engagement with recovery apps.

The adoption and sustainability of digital therapeutics in justice systems: A pilot feasibility study.

BACKGROUND: This study explored whether participants with substance use disorder (SUD) would adopt and use a smart-phone app with a cognitive behavioral therapy program, weekly Brief Addiction Monitor (BAM) assessments, daily check-ins, tools to track sobriety and treatment, and other patient-centered resources. In addition, participants with SUD could access a social worker and peer support specialists. METHODS: The study sought participants from two groups: those referred by a justice-related agency and participants who responded to outreach from the Addiction Policy Forum (APF). The Connections smart-phone app was offered to both groups. The study examined use of the app and social worker/peer recovery support services by participants who downloaded and used the app; those referred by a justice-related agency and those who self-referred through APF. The app provided primary data, including socio-demographics, referral status, dates of use, activities completed, and BAM scores. RESULTS: The app was offered to 1973 participants, 40% of whom downloaded it. Three groups emerged from among the 350 who used the app: those who used only the cognitive behavioral aspects of the app, those who used only the recovery support services offered, and those who used both the app and recovery support services. Looking at the two referral groups, the justice-referred group preferred telehealth recovery support services with the social worker; the self-referred group used the app and the app plus the recovery support services equally. Scores on the BAM improved across time. Justice-referred participants' protective behaviors improved more than those of the self-referred participants while self-referred participants' risk behaviors improved more than those of justice-referred participants. Older participants were more likely to use the app, and to report fewer risky behaviors, as measured by the BAM. CONCLUSIONS: Use of a digital therapeutic appears to support recovery of participants with SUD although many clients need and want the integration of social worker-driven recovery support services. Basically, the app can be an extension to personal services, but many people with SUD (particularly during COVID-19) crave human interaction. It also appears that those who seek assistance on their own, rather than being referred by a justice-related agency, may be more likely to benefit from digital therapeutics such as the Connections app.

Opening the "black box" of organizational coaching for implementation.

BACKGROUND: Organizational coaching to promote the implementation of evidence-informed interventions is becoming more popular in healthcare organizations. In order to open the "black box" of coaching for implementation, we first developed, then tested the rigor and utility of a model of coaching for implementation. METHODS: Interviews with nine experienced coaches were conducted and inductively coded to develop a model of coaching for implementation. Later, forty coaching calls with behavioral health organizations in Ohio, Wisconsin, and Florida were analyzed with directed content analysis using a priori codes based on this model. RESULTS: The coaching work that occurred during these calls aligned closely with the model of coaching for implementation developed by our team. Most coaching work was devoted to building capacity; almost as much work focused on building relationships. Very little coaching work was dedicated to building sustainability. Use of tools for organizational change and implementation remained relatively consistent across all coaching periods. CONCLUSION: Understanding what occurs during a successful coaching intervention will improve the effectiveness of coaching as an implementation strategy. Future research should focus on which processes and patterns make coaching more likely to promote specific implementation outcomes.

Building medication for opioid use disorder prescriber capacity during the opioid epidemic: Prescriber recruitment trends and methods.

INTRODUCTION: Physicians are a critical clinical resource for patient care. Yet physician recruitment has been considerably understudied, particularly in substance use disorder (SUD) settings. This study proposes a conceptual model called the "Physician Recruitment Descriptive Factors Framework" to investigate the role of environmental, organizational, and individual factors in the use of physician recruitment strategies. METHODS: The study setting was 75 sites that provided outpatient SUD treatment services in Florida, Ohio, and Wisconsin from 2016 to 2019. Central to the analysis is the use of five targeted physician recruitment strategies. The study investigated whether financial conditions, location (urban v. non-urban), external implementation coaching, and recruiters' roles influenced use of the targeted physician recruitment strategies. RESULTS: During the study period, a formal plan to recruit physicians was the most common strategy used (n = 67.6 %). The director or chief executive officer (CEO) was most likely to conduct physician recruitment (n = 58.7 %). During the study, use of four of the five recruitment strategies significantly declined (at p ≤ 0.01), while the perceived need for new prescribing capacity significantly declined (p ≤ 0.01), and prescribers per site increased from 1.54 to 3.21. Sixty-four percent of this increase in prescribers was due to more physician prescribers, while 36 % was due to the onset of the ability of advanced nurse practitioners and physician assistants to prescribe buprenorphine. In year 3 of the study, the strategies most closely aligned with the current number of prescribers were conducting weekly outreach to prescriber candidates (p = .018), having a dedicated prescriber recruiter (p = .011), and having a dedicated budget for prescriber recruiting (p = .002). CONCLUSIONS: The study describes which physician recruitment strategies SUD treatment sites used and how the need to recruit physicians for specialty treatment SUD clinics declined as prescriber capacity increased. The proposed multi-level framework provides the scaffolding for future physician recruitment research and practice.

Enhancing Use of Medications for Opioid Use Disorder Through External Coaching.

OBJECTIVE: This randomized controlled trial tested whether external coaching influences addiction treatment providers' utilization of medications to treat opioid use disorder (MOUDs). METHODS: This study recruited 75 unique clinical sites in Florida, Ohio, and Wisconsin, including 61 sites in specialty treatment agencies and 14 behavioral health sites within health systems. The trial used external coaching to increase use of MOUDs in the context of a learning collaborative and compared it with no coaching and no learning collaborative (control condition). Outcome measures of MOUD capacity and utilization were monthly tabulations of licensed buprenorphine slots (i.e., the number of patients who could be treated based on the buprenorphine waiver limits of the site's providers), buprenorphine use, and injectable naltrexone administration. RESULTS: The coaching and control arms showed no significant difference at baseline. Although buprenorphine slots increased in both arms during the 30-month trial, growth increased twice as fast at the coaching sites, compared with the control sites (average monthly rate of 6.1% vs. 3.0%, respectively, p<0.001). Buprenorphine use showed a similar pattern; the monthly growth rate in the coaching arm was more than twice the rate in the control arm (5.3% vs. 2.4%, p<0.001). Coaching did not have an impact on injectable naltrexone, which grew less than 1% in both arms over the trial period. CONCLUSIONS: External coaching can increase organizational capacity for and growth of buprenorphine use. Future research should explore the dimensions of coaching practice, dose, and delivery modality to better understand and enhance the coaching function.

Implementation of Smartphone Systems to Improve Quality of Life for People With Substance Use Disorder: Interim Report on a Randomized Controlled Trial.

BACKGROUND: Researchers have conducted numerous studies seeking to understand how to improve the implementation of changes in health care organizations, but less focus has been given to applying lessons already learned from implementation science. Finding innovative ways to apply these findings efficiently and consistently will improve current research on implementation strategies and allow organizations utilizing these techniques to make changes more effectively. OBJECTIVE: This research aims to compare a practical implementation approach that uses principles from prior implementation studies to more traditional ways of implementing change. METHODS: A total of 43 addiction treatment sites in Iowa were randomly assigned to 2 different implementation strategies in a randomized comparative effectiveness trial studying the implementation of an eHealth substance use disorder treatment technology. One strategy used an adaptation of the Network for the Improvement of Addiction Treatment (NIATx) improvement approach, while the other used a traditional product training model. This paper discusses lessons learned about implementation. RESULTS: This midterm report indicates that use of the NIATx approach appears to be leading to improved outcomes on several measures, including initial and sustained use of new technology by both counselors and patients. Additionally, this research indicates that seamlessly integrating organizational changes into existing workflows and using coaching to overcome hurdles and assess progress are important to improve implementation projects. CONCLUSIONS: At this interim point in the study, it appears that the use of the NIATx improvement process leads to better outcomes in implementation of changes within health care organizations. Moreover, some strategies used in this improvement process are particularly useful and should be drawn on more heavily in future implementation efforts. TRIAL REGISTRATION: ClinicalTrials.gov NCT03954184; https://clinicaltrials.gov/ct2/show/NCT03954184.

Virtual training and technical assistance: a shift in behavioral health workforce access and perceptions of services during emergency restrictions.

BACKGROUND: To respond to the COVID-19 pandemic, the Substance Abuse and Mental Health Services Administration-funded Technology Transfer Centers had to rapidly adapt to ensure that the behavioral health workforce had continuous access to remote training and technical assistance (TTA). Although the Technology Transfer Centers have historically relied partially upon virtual methods for delivering TTA, the shift to a strictly virtual approach necessitated by COVID-19 restrictions has raised new questions for how to best proceed with services when social distancing guidelines are relaxed. The objective of this exploratory paper was to compare TTA provision in the six-month period prior to (9/1/19 thru 2/28/20) and during (4/1/20 thru 9/30/20) early COVID-19 restrictions to determine the extent to which the shift to virtual service provision impacted the behavioral health and medical workforce. Specifically, we examined participants' access to TTA, geographic reach of TTA, and workforce perceptions of satisfaction and utility with TTA provision. METHOD: Participant and event-level data were analyzed to compare the following metrics before and during the COVID pandemic: number of events and attendees; participant demographics; zip codes reached; coverage of rural, suburban, and urban areas; and perceptions of satisfaction with and utility of training. RESULTS: Findings showed a 40% increase in the number of events delivered (p < .001) and a 270% increase in the number of attendees (p < .001) during the COVID period when TTCs relied exclusively on virtual delivery. Geospatial analyses linking zip codes to a schematic of rural, suburban, and urban classifications throughout the United States revealed significant increases in the number of zip codes reached during the COVID time period. Satisfaction levels were comparable before and during the pandemic. CONCLUSIONS: Findings show that expanded access to TTA services via virtual formats resulted in reach to more diverse attendees and regions, and did not come at the expense of satisfaction. Results suggest that virtual TTA should continue to be an important component of TTA offerings post-pandemic.

Behavioral healthcare organizations' experiences related to use of telehealth as a result of the COVID-19 pandemic: an exploratory study.

BACKGROUND: Due to the COVID-19 pandemic, healthcare providers were forced to shift many services quickly from in-person to virtual, including substance use disorder (SUD) and mental health (MH) treatment services. This led to a sharp increase in telehealth services, with health systems seeing patients virtually at hundreds of times the rate as before the onset of the COVID-19 pandemic. By analyzing qualitative data about SUD and MH care organizations' experiences using telehealth, this study aims to elucidate emergent themes related to telehealth use by the front-line behavioral health workforce. METHODS: This study uses qualitative data from large-scale web surveys distributed to SUD and MH organizations between May and August 2020. At the end of these surveys, the following question was posed in free-response form: "Is there anything else you would like to say about use of telehealth during or after the COVID-19 pandemic?" Respondents were asked to answer on behalf of their organizations. The 391 responses to this question were analyzed for emergent themes using a conventional approach to content analysis. RESULTS: Three major themes emerged: COVID-specific experiences with telehealth, general experiences with telehealth, and recommendations to continue telehealth delivery. Convenience, access to new populations, and lack of commute were frequently cited advantages of telehealth, while perceived ineffectiveness of and limited access to technology were frequently cited disadvantages. Also commonly mentioned was the relaxation of reimbursement regulations. Respondents supported continuation of relaxed regulations, increased institutional support, and using a combination of telehealth and in-person care in their practices. CONCLUSIONS: This study advanced our knowledge of how the behavioral health workforce experiences telehealth delivery. Further longitudinal research comparing treatment outcomes of those receiving in-person and virtual services will be necessary to undergird organizations' financial support, and perhaps also legislative support, for virtual SUD and MH services.

Adaptations to Opioid Use Disorder Care During the COVID-19 Pandemic: A National Survey of Prescribers.

OBJECTIVES: Among opioid use disorder (OUD)-treating providers, to characterize adaptations used to provide medications for OUD (MOUD) and factors associated with desire to continue virtual visits post-COVID-19 pandemic. METHODS: In a national electronic survey of OUD-treating prescribers (July-August 2020), analyses restricted to X-waivered buprenorphine prescribers providing outpatient, longitudinal care for adults with OUD, quantitative and qualitative analyses of survey items and free text responses were conducted. RESULTS: Among 797 respondents, 49% were men, 57% ≥50 years, 76% White, 68% physicians. Respondents widely used virtual visits to continue prescribing existing MOUD regimens (79%), provide behavioral healthcare (71%), and initiate new MOUD prescriptions (49%). Most prescribers preferred to continue/expand use of virtual visits after COVID-19. In multivariable models, factors associated with preference to continue/expand virtual visits to initiate MOUD postpandemic were treating a moderate number of patients prepandemic (aOR = 1.67; 95%[CI] = 1.06,2.62) and practicing in an urban setting (aOR = 2.17; 95%[CI] = 1.48,3.18). Prescribing buprenorphine prepandemic (aOR = 2.06; 95%[CI] = 1.11,3.82) and working in an academic medical center (aOR = 2.47; 95%[CI] = 1.30,4.68) were associated with preference to continue/expand use of virtual visits to continue MOUD postpandemic. Prescribing naltrexone extended-release injection prepandemic was associated with preference to continue/expand virtual visits to initiate and continue MOUD (aOR = 1.51; 95%[CI] = 1.10,2.07; aOR = 1.74; 95%[CI] = 1.19,2.54). Qualitative findings suggest that providers appreciated virtual visits due to convenience and patient accessibility, but were concerned about liability and technological barriers. CONCLUSIONS: Surveyed prescribers widely used virtual visits to provide MOUD with overall positive experiences. Future studies should evaluate the impact of virtual visits on MOUD access and retention and clinical outcomes.

Applying implementation science in mental health services: Technical assistance cases from the Mental Health Technology Transfer Center (MHTTC) network.

OBJECTIVE: Critical gaps exist between implementation of effective interventions and the actual services delivered to people living with mental disorders. Many technical assistance (TA) efforts rely on one-time trainings of clinical staff and printed guidelines that alone are not effective in changing clinical practice. The Mental Health Technology Transfer Center (MHTTC) Network uses implementation science to accelerate the use of evidence-based practices (EBPs), improve performance, and bring about systems-level change. METHOD: Four case examples illustrate how MHTTCs employ the Exploration-Preparation-Implementation-Sustainment (EPIS) implementation framework and intensive implementation strategies to educate clinicians, manage change, and improve processes. These examples include implementing motivational interviewing, cognitive-behavioral therapy for people with psychosis, strategies to decrease the no show rate for virtual appointments, and school mental health systems development. RESULTS: From Preparation through Sustainment, MHTTCs successfully employed implementation strategies including learning communities, audit and feedback, and coaching to bring about change. Each project attended to inner and outer contexts to eliminate barriers. The examples also show the benefit of integrating process improvement alongside implementation. CONCLUSIONS: The MHTTCs are a model for using implementation science to design technical assistance that leads to more successful practical execution of EBPs; thus reducing the gap between research and practice.

Well-Being of Health Care Professionals Treating Opioid Use Disorder During the COVID-19 Pandemic: Results From a National Survey.

OBJECTIVE: The COVID-19 pandemic has dramatically affected health care delivery, effects that are juxtaposed with health care professional (HCP) burnout and mental distress. The Opioid Use Disorder Provider COVID-19 Survey was conducted to better understand the impact of COVID-19 on clinical practice and HCP well-being. METHODS: The cross-sectional survey was e-mailed to listservs with approximately 157,000 subscribers of diverse professions between July 14 and August 15, 2020. Two dependent variables evaluated HCP functioning and work-life balance. Independent variables assessed organizational practices and HCP experiences. Covariates included participant demographic characteristics, addiction board certification, and practice setting. Multilevel multivariate logistic regression models were used. RESULTS: Among 812 survey respondents, most were men, White, and physicians, with 46% located in urban settings. Function-impairing anxiety was reported by 17%, and 28% reported more difficulty with work-life balance. Difficulty with functioning was positively associated with having staff who were sick with COVID-19 and feeling close to patients, and was negatively associated with being male and having no staff changes. Difficulty with work-life balance was positively associated with addiction board certification; working in multiple settings; having layoffs, furloughs, or reduced hours; staff illness with COVID-19; and group well-being check-ins. It was negatively associated with male gender, older age, and no staff changes. CONCLUSIONS: Demographic, provider, and organizational-practice variables were associated with reporting negative measures of well-being during the COVID-19 pandemic. These results should inform HCPs and their organizations on factors that may lead to burnout, with particular focus on gender and age-related concerns and the role of well-being check-ins.

Clinician Perspectives on Barriers and Facilitators to Implementing e-Health Technology in Substance Use Disorder (SUD) Treatment Facilities.

BACKGROUND: Substance use disorders (SUDs) in the United States cause many preventable deaths each year. Finding effective ways to manage SUDs is vital to improving outcomes for individuals seeking treatment. This has increased interest in using e-health technologies in behavioral healthcare settings. This research is part of a larger study evaluating the efficacy of the NIATx coaching intervention for implementing RISE Iowa, an e-health patient recovery app, in SUD treatment organizations and seeks to examine clinician perspectives of the barriers and facilitators to its implementation. METHOD: Semi-structured qualitative interviews were conducted with 13 clinicians from 9 different intervention sites involved in the study. RESULTS: Major barriers to implementing e-health technology include inability to access the technology, lack of time for both patients and clinicians, and a perceived lack of patient motivation to make changes. Facilitators to implementation include collaboration with other staff using e-health technology and integrating technology use into typical workflows. CONCLUSIONS: Implementation of e-health technology in SUD treatment will require integrating the technology into clinical workflows and improving patient access to the technology.

Prescribers' satisfaction with delivering medications for opioid use disorder.

BACKGROUND: Expanding access to medications for opioid use disorder (MOUD), such as buprenorphine and extended release (XR) naltrexone, is critical to addressing the US opioid epidemic, but little is known about prescriber satisfaction with delivering these two types of MOUD. The current study describes the satisfaction of prescribers delivering buprenorphine and XR-naltrexone while examining whether satisfaction is associated with current patient census and organizational environment. METHODS: As part of a cluster randomized clinical trial (RCT) focused on expanding access to medication for opioid use disorder, 41 MOUD prescribers in Florida, Ohio, and Wisconsin completed a web-based survey. The survey included measures of prescriber satisfaction with delivering buprenorphine treatment and XR-naltrexone. In addition, the survey measured several prescriber characteristics and their perceptions of the organizational environment. RESULTS: Prescribers were generally satisfied with their work in delivering these two types of MOUD. Prescribers reporting a greater number of patients (r = .46, p = .006), those who would recommend the center to others (r = .56, p < .001), and those reporting positive relationships with staff (r = .56, p < .001) reported significantly greater overall satisfaction with delivering buprenorphine treatment. Prescribers who more strongly endorsed feeling overburdened reported lower overall buprenorphine satisfaction (r = -.37, p = .02). None of the prescriber characteristics or perceptions of the organizational environment were significantly associated with overall satisfaction with delivering XR-naltrexone treatment. CONCLUSIONS: The generally high levels of satisfaction with both types of MOUD is notable given that prescriber dissatisfaction can lead to turnover and impact intentions to leave the profession. Future research should continue to explore the prescriber characteristics and organizational factors associated with satisfaction in providing different types of MOUD. REGISTRATION: ClinicalTrials.gov. NCT02926482. Date of registration: September 9, 2016. https://clinicaltrials.gov/ct2/show/NCT02926482 .

Implementation for Sustained Impact in Teleophthalmology (I-SITE): applying the NIATx Model for tailored implementation of diabetic retinopathy screening in primary care.

BACKGROUND: Teleophthalmology provides evidence-based, telehealth diabetic retinopathy screening that is underused even when readily available in primary care clinics. There is an urgent need to increase teleophthalmology use in the US primary care clinics. In this study, we describe the development of a tailored teleophthalmology implementation program and report outcomes related to primary care provider (PCP) adoption. METHODS: We applied the 5 principles and 10 steps of the NIATx healthcare process improvement model to develop and test I-SITE (Implementation for Sustained Impact in Teleophthalmology) in a rural, the US multi-payer health system. This implementation program allows patients and clinical stakeholders to systematically tailor teleophthalmology implementation to their local context. We aligned I-SITE components and implementation strategies to an updated ERIC (Expert Recommendations for Implementing Change) framework. We compared teleophthalmology adoption between PCPs who did or did not participate in various components of I-SITE. We surveyed PCPs and clinical staff to identify the strategies they believed to have the highest impact on teleophthalmology use. RESULTS: To test I-SITE, we initiated a year-long series of 14 meetings with clinical stakeholders (n=22) and met quarterly with patient stakeholders (n=9) in 2017. Clinical and patient stakeholder groups had 90.9% and 88.9% participant retention at 1 year, respectively. The increase in teleophthalmology use was greater among PCPs participating in the I-SITE implementation team than among other PCPs (p < 0.006). The proportion of all PCPs who used the implementation strategy of electing diabetic eye screening for their annual performance-based financial incentive increased from 0% (n=0) at baseline to 56% (n=14) following I-SITE implementation (p = 0.004). PCPs and clinical staff reported the following implementation strategies as having the highest impact on teleophthalmology use: reminders to ask patients about diabetic eye screening during clinic visits, improving electronic health record (EHR) documentation, and patient outreach. CONCLUSIONS: We applied the NIATx Model to develop and test a teleophthalmology implementation program for tailored integration into primary care clinics. The NIATx Model provides a systematic approach to engaging key stakeholders for tailoring implementation of evidence-based telehealth interventions into their local context.

Use of Telehealth in Mental Health (MH) Services During and After COVID-19.

COVID-19 social distancing guidelines caused a rapid transition to telephone and video technologies for the delivery of mental health (MH) services. The study examined: (a) adoption of these technologies across the MH service continuum; (b) acceptance of these technologies; and (c) intention of providers to use these technologies following the pandemic based on a sample of 327 MH organizations from 22 states during May-August 2020. There was widespread use of technology, with greater than 69% of organizations reporting using telephone or video for most services. For all video services and just three telephone services, organizations reported significantly greater odds of intending to use technology to deliver services post-COVID-19. Use of video was seen as more desirable as compared to telephone. The overall perceived ease of use and usefulness for video-based services and certain telephone services provide a promising outlook for use of these services post the COVID-19 pandemic.

Fostering MOUD use in justice populations: Assessing the comparative effectiveness of two favored implementation strategies to increase MOUD use.

Coaching is a favored strategy for the implementation of medications for opioid use disorder (MOUD), yet research has not adequately tested or assessed coaching dosages and mediums for overall effectiveness, nor have coaching doses been widely studied within criminal justice settings (CJS). Scaling up the use of MOUD, particularly in CJS, presents a challenge given the stigmatization of substance use disorder, funding for MOUD, availability and capacity of community-based treatment providers, leadership support, and the historical preference for behavioral therapy-based treatment practices. The University of Wisconsin's Center for Health Enhancement and Systems Studies (CHESS) and George Mason University's Center for Advancing Correctional Excellence! (ACE!) are conducting a randomized controlled trial to determine the optimal combination and dosages for two different coaching strategies to disseminate MOUD in justice-involved populations; those strategies are the NIATx model for process improvement and Extension for Community Healthcare Outcomes (ECHO) model. NIATx coaches provide technical assistance in MOUD implementation and organizational change to help justice and treatment organizations to implement and disseminate MOUD for justice clients. The ECHO platform focuses primarily on the clinical provider by connecting the provider with expert MOUD prescribers to promote high-quality MOUD practices. The trial will have four study arms that compare high-dose and low-dose coaching, with and without ECHO. This will be the first trial that assesses the comparative effectiveness of two types of coaching methods at varying dosages for justice-involved individuals. The trial will be conducted with 48 jails and community-based treatment provider sites that handle justice-involved persons with opioid use disorder (OUD).

Test of an organizational change model to reduce no-shows in dental care settings.

OBJECTIVES: To test the feasibility and preliminary effectiveness of the NIATx model for organizational change to reduce appointment no-shows in dental care settings. METHODS: The NIATx Dental Pilot Study used a clustered prepost interventional design and a mixed-methods approach. Five independent dental clinics serving Medicaid enrollees were recruited. Quantitative data on the impact of the NIATx model were complemented by qualitative assessment information collected from dental staff. The NIATx model was applied through a multisite learning collaborative that engaged participating organizations in adopting targeted no-show best practices. The primary outcome measure was no-show data collected at the preintervention phase (5 months), intervention phase (7 months), and postintervention phase (3 months). RESULTS: Female patients were in the majority (median 54.5 percent). Mean age ranged from 8 to 50 (median 35.2) years. The median percentage for Hispanics was 11.0 percent, and the proportion of uninsured patients was 25 percent. Preintervention no-show rates ranged from 14 percent (clinic B) to 38 percent (clinic E). All clinics had lower no-show rates during the postintervention period, with decreases ranging from 1 percent (clinic B) to 13 percent (clinic E). Overall, the no-show rates decreased in the study. CONCLUSIONS: The study demonstrated the feasibility of applying the NIATx model to reduce no-show rates, with some difficulty observed with sustainability across dental practices during the postintervention period.