Scaling Implementation of Collaborative Care for Depression: Adaptation of the Stages of Implementation Completion (SIC)

Implementation cost analysis of collaborative care for perinatal mental health in community health centers

Background

Although costs are of key importance to clinic leadership when considering adoption of new programs, few studies examine real-world resource needs associated with implementing complex interventions for chronic conditions in primary care. This analysis sought to identify the costs necessary to implement the evidence-based collaborative care model (CoCM), an integrated behavioral health program for common mental disorders in primary care.

Methods

Ten federally qualified health centers (FQHCs) adopted CoCM as part of a larger national randomized trial evaluating implementation strategies for CoCM when adapted for perinatal mental health. The Cost of Implementing New Strategies (COINS) tool was used to assess implementation costs associated with activities completed by sites as they progressed through the implementation process. National wage norms were used to calculate cost estimates for staff time.

Results

On average, clinics spent $40,778 (SD=$30,611) on implementation, with clinics ranging widely from $4,502 to $103,156. Three out of 10 participating clinics achieved competency in the intervention during the 2-year implementation period. Costs among competent clinics ranged from $20,944 to $65,415 (mean=$41,788). Clinics that did not achieve competency were more varied, with both the lowest and highest resource use. Significant staff effort was required to complete all implementation stages; clinical staff and program champions showed greatest effort.

Conclusions

Site implementation costs for this complex behavioral health intervention were substantial and varied dramatically, particularly among sites who did not achieve competence. Additional work is needed to identify optimal site resource investment related to implementation success for CoCM.

Trial registration

ClinicalTrials.gov.NCT02976025. Registered on November 23, 2016.

Cluster randomized trial of a team communication training implementation strategy for depression screening in a pediatric healthcare system: a study protocol

BACKGROUND

Pediatric depression is a global concern that has fueled efforts for enhanced detection and treatment engagement. As one example, the US Preventive Services Task Force recommends depression screening for adolescents ages 12-18 years. While many health systems have implemented components of depression screening protocols, there is limited evidence of effective follow-up for pediatric depression. A key barrier is timely team communication and coordination across clinicians and staff within and across service areas for prompt service linkage. However, team effectiveness interventions have been shown to improve team processes and outcomes and can be applied in healthcare settings.

METHODS

This project aims to refine and test a team communication training implementation strategy to improve implementation of an existing pediatric depression screening protocol in a large pediatric healthcare system. The team will be defined as part of the study but is expected to include medical assistants, nurses, physicians, and behavioral health clinicians within and across departments. The implementation strategy will target team mechanisms at the team-level (i.e., intra-organizational alignment and implementation climate) and team member-level (i.e., communication, coordination, psychological safety, and shared cognition). First, the project will use mixed methods to refine the team training strategy to fit the organizational context and workflows. Next, a hybrid type 3 implementation-effectiveness pilot trial will assess the initial effectiveness of the team communication training (implementation strategy) paired with the current universal depression screening protocol (clinical intervention) on implementation outcomes (i.e., feasibility, acceptability, appropriateness, workflow efficiency) and clinical/services outcomes (increased frequency of needed screening and reduced time to service linkage). Finally, the study will assess mechanisms at the team and team member levels that may affect implementation outcomes.

DISCUSSION

Team communication training is hypothesized to lead to improved, efficient, and effective decision-making to increase the compliance with depression screening and timely service linkage. Findings are expected to yield better understanding and examples of how to optimize team communication to improve efficiency and effectiveness in the pediatric depression screening-to-treatment cascade. This should also culminate in improved implementation outcomes including patient engagement critical to address the youth mental health crisis.

TRIAL REGISTRATION

NCT06527196. Trial Sponsor: University of California San Diego.

Implementing a pharmacist-integrated collaborative model of medication treatment for opioid use disorder in primary care: study design and methodological considerations

BACKGROUND

Pharmacists remain an underutilized resource in the treatment of opioid use disorder (OUD). Although studies have engaged pharmacists in dispensing medications for OUD (MOUD), few studies have evaluated collaborative care models in which pharmacists are an active, integrated part of a primary care team offering OUD care.

METHODS

This study seeks to implement a pharmacist integrated MOUD clinical model (called PrIMO) and evaluate its feasibility, acceptability, and impact across four diverse primary care sites. The Consolidated Framework for Implementation Research is used as an organizing framework for study development and interpretation of findings. Implementation Facilitation is used to support PrIMO adoption. We assess the primary outcome, the feasibility of implementing PrIMO, using the Stages of Implementation Completion (SIC). We evaluate the acceptability and impact of the PrIMO model at the sites using mixed-methods and combine survey and interview data from providers, pharmacists, pharmacy technicians, administrators, and patients receiving MOUD at the primary care sites with patient electronic health record data. We hypothesize that it is feasible to launch delivery of the PrIMO model (reach SIC Stage 6), and that it is acceptable, will positively impact patient outcomes 1 year post model launch (e.g., increased MOUD treatment retention, medication regimen adherence, service utilization for co-morbid conditions, and decreased substance use), and will increase each site's capacity to care for patients with MOUD (e.g., increased number of patients, number of prescribers, and rate of patients per prescriber).

DISCUSSION

This study will provide data on a pharmacist-integrated collaborative model of care for the treatment of OUD that may be feasible, acceptable to both site staff and patients and may favorably impact patients' access to MOUD and treatment outcomes.

TRIAL REGISTRATION

The study was registered on Clinicaltrials.gov (NCT05310786) on April 5, 2022, https://www.

CLINICALTRIALS

gov/study/NCT05310786?id=NCT05310786&rank=1.

Core Components and Implementation Determinants of Multilevel Service Delivery Frameworks Across Child Mental Health Service Settings

Multilevel service delivery frameworks are approaches to structuring and organizing a spectrum of evidence-based services and supports, focused on assessment, prevention, and intervention designed for the local context. Exemplar frameworks in child mental health include positive behavioral interventions and supports in education, collaborative care in primary care, and systems of care in community mental health settings. Yet, their high-quality implementation has lagged. This work proposes a conceptual foundation for multilevel service delivery frameworks spanning diverse mental health service settings that can inform development of strategic implementation supports. We draw upon the existing literature for three exemplar multilevel service delivery frameworks in different child mental health service settings to (1) identify core components common to each framework, and (2) to highlight prominent implementation determinants that interface with each core component. Six interrelated components of multilevel service delivery frameworks were identified, including, (1) a systems-level approach, (2) data-driven problem solving and decision-making, (3) multiple levels of service intensity using evidence-based practices, (4) cross-linking service sectors, (5) multiple providers working together, including in teams, and (6) built-in implementation strategies that facilitate delivery of the overall model. Implementation determinants that interface with core components were identified at each contextual level. The conceptual foundation provided in this paper has the potential to facilitate cross-sector knowledge sharing, promote generalization across service settings, and provide direction for researchers, system leaders, and implementation intermediaries/practitioners working to strategically support the high-quality implementation of these frameworks.

Costs of Implementing Electronic Context Factor Assessments and Patient-reported Outcomes in Pain Clinic Settings

BACKGROUND

The Healing Encounters and Attitudes Lists (HEALs) patient-reported measures, consisting of 6 separate context factor questionnaires, predict patients' pain improvements. Our Patient-centered Outcomes Research Initiative-funded implementation project demonstrated success in using HEAL data during clinic consultations to enhance patient engagement, improve patient outcomes, and reduce opioid prescribing.

OBJECTIVE

We aimed to determine the resources needed for additional sites to implement HEAL to improve pain care treatment.

RESEARCH DESIGN

An observational study from March 1 to November 30, 2021, assessing implementation cost data from invoices, time and salary requirements for clinic personnel training, estimates of non-site-based costs, and one-time resource development costs.

SUBJECTS

Unique patients eligible to complete a HEAL survey (N=24,018) and 74 clinic personnel.

MEASURES

The Stages of Implementation Completion guided documentation of preimplementation, implementation, and sustainment activities of HEAL pain clinic operations. These informed the calculations of the costs of implementation.

RESULTS

The total time for HEAL implementation is 7 months: preimplementation and implementation phases (4 mo) and sustainment (3 mo). One hour of HEAL implementation involving a future clinical site consisting of 2 attending physicians, 1 midlevel provider, 1 nurse manager, 1 nurse, 1 radiology technician, 2 medical assistants, and 1 front desk staff will cost $572. A 10-minute time increment for all clinic staff is $95. Total implementation costs based on hourly rates over 7 months, including non-site-based costs of consultations, materials, and technology development costs, is $28,287.

CONCLUSIONS

Documenting our implementation costs clarifies the resources needed for additional new sites to implement HEAL to measure pain care quality and to engage patients and clinic personnel.

Adapting psychotherapy in collaborative care for treating opioid use disorder and co-occurring psychiatric conditions in primary care

INTRODUCTION

Opioid use disorder (OUD) and psychiatric conditions commonly co-occur yet are infrequently treated with evidence-based therapeutic approaches, resulting in poor outcomes. These conditions, separately, present challenges to treatment initiation, retention, and success. These challenges are compounded when individuals have OUD and psychiatric conditions.

METHOD

Recognizing the complex needs of these individuals, gaps in care, and the potential for primary care to bridge these gaps, we developed a psychotherapy program that integrates brief, evidence-based psychotherapies for substance use, depression, and anxiety, building on traditional elements of the Collaborative Care Model (CoCM). In this article, we describe this psychotherapy program in a primary care setting as part of a compendium of collaborative services.

RESULTS

Patients receive up to 12 sessions of evidence-based psychotherapy and case management based on a structured treatment manual that guides treatment via Motivational Enhancement; Cognitive Behavioral Therapies for depression, anxiety, and/or substance use disorder; and/or Behavioral Activation components.

DISCUSSION

Novel, integrated treatments are needed to advance service delivery for individuals with OUD and psychiatric conditions and these programs must be rigorously evaluated. We describe our team's efforts to test our psychotherapy program in a large primary care network as part of an ongoing three-arm randomized controlled trial. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The relative value of Pre-Implementation stages for successful implementation of evidence-informed programs

BACKGROUND

Most implementations fail before the corresponding services are ever delivered. Measuring implementation process fidelity may reveal when and why these attempts fail. This knowledge is necessary to support the achievement of positive implementation milestones, such as delivering services to clients (program start-up) and competency in treatment delivery. The present study evaluates the extent to which implementation process fidelity at different implementation stages predicts achievement of those milestones.

METHODS

Implementation process fidelity data-as measured by the Stages of Implementation Completion (SIC)-from 1287 implementing sites across 27 evidence-informed programs were examined in mixed effects regression models with sites nested within programs. Implementation process fidelity, as measured by the proportion of implementation activities completed during the three stages of the SIC Pre-Implementation phase and overall Pre-Implementation (Phase 1) and Implementation (Phase 2) proportion scores, was assessed as a predictor of sites achieving program start-up (i.e., delivering services) and competency in program delivery.

RESULTS

The predicted probability of start-up across all sites was low at 35% (95% CI [33%, 38%]). When considering the evidence-informed program being implemented, that probability was nearly twice as high (64%; 95% CI [42%, 82%]), and 57% of the total variance in program start-up was attributable to the program. Implementation process fidelity was positively and significantly associated with achievement of program start-up and competency. The magnitude of this relationship varied significantly across programs for Pre-Implementation Stage 1 (i.e., Engagement) only. Compared to other stages, completing more Pre-Implementation Stage 3 (Readiness Planning) activities resulted in the most rapid gains in probability of achieving program start-up. The predicted probability of achieving competency was very low unless sites had high scores in both Pre-Implementation and Implementation phases.

CONCLUSIONS

Strong implementation process fidelity-as measured by SIC Pre-Implementation and Implementation phase proportion scores-was associated with sites' achievement of program start-up and competency in program delivery, with early implementation process fidelity being especially potent. These findings highlight the importance of a rigorous Pre-Implementation process.

The Implementation Playbook: study protocol for the development and feasibility evaluation of a digital tool for effective implementation of evidence-based innovations

BACKGROUND

Evidence-based innovations can improve health outcomes, but only if successfully implemented. Implementation can be complex, highly susceptible to failure, costly and resource intensive. Internationally, there is an urgent need to improve the implementation of effective innovations. Successful implementation is best guided by implementation science, but organizations lack implementation know-how and have difficulty applying it. Implementation support is typically shared in static, non-interactive, overly academic guides and is rarely evaluated. In-person implementation facilitation is often soft-funded, costly, and scarce. This study seeks to improve effective implementation by (1) developing a first-in-kind digital tool to guide pragmatic, empirically based and self-directed implementation planning in real-time; and (2) exploring the tool's feasibility in six health organizations implementing different innovations.

METHODS

Ideation emerged from a paper-based resource, The Implementation Game©, and a revision called The Implementation Roadmap©; both integrate core implementation components from evidence, models and frameworks to guide structured, explicit, and pragmatic planning. Prior funding also generated user personas and high-level product requirements. This study will design, develop, and evaluate the feasibility of a digital tool called The Implementation Playbook©. In Phase 1, user-centred design and usability testing will inform tool content, visual interface, and functions to produce a minimum viable product. Phase 2 will explore the Playbook's feasibility in six purposefully selected health organizations sampled for maximum variation. Organizations will use the Playbook for up to 24 months to implement an innovation of their choosing. Mixed methods will gather: (i) field notes from implementation team check-in meetings; (ii) interviews with implementation teams about their experience using the tool; (iii) user free-form content entered into the tool as teams work through implementation planning; (iv) Organizational Readiness for Implementing Change questionnaire; (v) System Usability Scale; and (vi) tool metrics on how users progressed through activities and the time required to do so.

DISCUSSION

Effective implementation of evidence-based innovations is essential for optimal health. We seek to develop a prototype digital tool and demonstrate its feasibility and usefulness across organizations implementing different innovations. This technology could fill a significant need globally, be highly scalable, and potentially valid for diverse organizations implementing various innovations.

Barriers and facilitators to implementing evidence-based interventions in the context of a randomized clinical trial in the United States: a qualitative study

BACKGROUND

Evidence-based interventions, which are typically supported by data from randomized controlled trials (RCTs), are highly valued by providers of human services like child welfare. However, implementing such interventions in the context of a randomized clinical trial is a complex process, as conducting an RCT adds extra tasks for providers and complicating factors for provider organizations. Utilizing the Exploration, Preparation, Implementation, and Sustainment Framework, this study examines factors that facilitate or impede success in the implementation of evidence-based interventions in the context of a largescale trial of SafeCare,® a child maltreatment intervention.

METHODS

Qualitative data were obtained as part of a larger mixed-methods study involving a cluster randomized trial comparing SafeCare to usual services for caregivers within nine child welfare agencies across four states. Between May and October 2017, individual interviews were conducted with a purposive sample of 21 child welfare administrators and 24 supervisors, and 19 focus groups were conducted with 84 providers. Data were coded iteratively and grouped into themes.

RESULTS

Several interconnected themes centered on facilitators and barriers to SafeCare implementation in the context of a randomized clinical trial. Facilitators included: (1) Benefits afforded through RCT participation; (2) Shared vision and sustained buy-in across system and organizational levels; and (3) Ongoing leadership support for SafeCare and the RCT. Barriers that hindered SafeCare were: (1) Insufficient preparation to incorporate SafeCare into services; (2) Perceived lack of fit, leading to mixed support for SafeCare and the RCT; and (3) Requirements of RCT participation at the provider level.

CONCLUSIONS

These data yield insight into an array of stakeholder perspectives on the experience of implementing a new intervention in the context of a largescale trial. This research also sheds light on how the dynamics of conducting an RCT may affect efforts to implement interventions in complex and high-pressure contexts. Findings highlight the importance of aligning knowledge and expectations among researchers, administrators of organizations, and supervisors and providers. Researchers should work to alleviate the burdens of study involvement and promote buy-in among frontline staff not only for the program but also for the research itself.

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

Background

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

Method

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

Results

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

Conclusions

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

Trial Registration

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

Evaluation of measures of sustainability and sustainability determinants for use in community, public health, and clinical settings: a systematic review

BACKGROUND

Sustainability is concerned with the long-term delivery and subsequent benefits of evidence-based interventions. To further this field, we require a strong understanding and thus measurement of sustainability and what impacts sustainability (i.e., sustainability determinants). This systematic review aimed to evaluate the quality and empirical application of measures of sustainability and sustainability determinants for use in clinical, public health, and community settings.

METHODS

Seven electronic databases, reference lists of relevant reviews, online repositories of implementation measures, and the grey literature were searched. Publications were included if they reported on the development, psychometric evaluation, or empirical use of a multi-item, quantitative measure of sustainability, or sustainability determinants. Eligibility was not restricted by language or date. Eligibility screening and data extraction were conducted independently by two members of the research team. Content coverage of each measure was assessed by mapping measure items to relevant constructs of sustainability and sustainability determinants. The pragmatic and psychometric properties of included measures was assessed using the Psychometric and Pragmatic Evidence Rating Scale (PAPERS). The empirical use of each measure was descriptively analyzed.

RESULTS

A total of 32,782 articles were screened from the database search, of which 37 were eligible. An additional 186 publications were identified from the grey literature search. The 223 included articles represented 28 individual measures, of which two assessed sustainability as an outcome, 25 covered sustainability determinants and one explicitly assessed both. The psychometric and pragmatic quality was variable, with PAPERS scores ranging from 14 to 35, out of a possible 56 points. The Provider Report of Sustainment Scale had the highest PAPERS score and measured sustainability as an outcome. The School-wide Universal Behaviour Sustainability Index-School Teams had the highest PAPERS score (score=29) of the measure of sustainability determinants.

CONCLUSIONS

This review can be used to guide selection of the most psychometrically robust, pragmatic, and relevant measure of sustainability and sustainability determinants. It also highlights that future research is needed to improve the psychometric and pragmatic quality of current measures in this field.

TRIAL REGISTRATION

This review was prospectively registered with Research Registry (reviewregistry1097), March 2021.

Introducing an implementation framework for augmenting care with digital technology for early psychosis patients: theory and motivation

BACKGROUND

Treatment programs for early-course psychosis are evidence-based interventions that provide specialty care to improve outcomes in patients. Digital technologies offer the potential to augment services and meet the growing demand for care.

AIMS

We introduce a framework to guide the assessment of site readiness for technology and their ability to successfully introduce, implement, and sustain digital technology use. While broader in use that early course psychosis, we focus on this use case to introduce the theory and clinical application.

METHODS

Adapting the replicating effective programs framework, we present an early psychosis focused model. Considering the unique opportunities and challenges of these programs, we present a five-stage evaluation framework. Informed by our clinical experience and recent literature, we present tools and examples to help programs plan and execute successful technology implementation.

RESULTS

The AACCS framework is comprised of five stages: (1) Access (e.g. identifying access to and comfort with technology), (2) Align (e.g. understanding aspects technology can augment), (3) Connect (e.g. customizing technology to stakeholder needs), (4) Care (e.g. implementing technology into treatment), and (5) Sustain (e.g. creating sustainable services). Site visits revealed patients have access to digital tools and are open to implementation into care, while staff prefers digital skills training.

CONCLUSIONS

This framework assists programs in identifying clinical targets to be augmented with technology, stages of implementation, and recommendations for sustaining meaningful technology use.

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

BACKGROUND

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

METHODS

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

DISCUSSION

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

TRIAL REGISTRATION

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

FAST: A Framework to Assess Speed of Translation of Health Innovations to Practice and Policy

The 17-year time span between discovery and application of evidence in practice has become a unifying challenge for implementation science and translational science more broadly. Further, global pandemics and social crises demand timely implementation of rapidly accruing evidence to reduce morbidity and mortality. Yet speed remains an understudied metric in implementation science. Prevailing evaluations of implementation lack a temporal aspect, and current approaches have not yielded rapid implementation. In this paper, we address speed as an important conceptual and methodological gap in implementation science. We aim to untangle the complexities of studying implementation speed, offer a framework to assess speed of translation (FAST), and provide guidance to measure speed in evaluating implementation. To facilitate specification and reporting on metrics of speed, we encourage consideration of stakeholder perspectives (e.g., comparison of varying priorities), referents (e.g., speed in attaining outcomes, transitioning between implementation phases), and observation windows (e.g., time from intervention development to first patient treated) in its measurement. The FAST framework identifies factors that may influence speed of implementation and potential effects of implementation speed. We propose a research agenda to advance understanding of the pace of implementation, including identifying accelerators and inhibitors to speed.

Care team and practice-level implementation strategies to optimize pediatric collaborative care: study protocol for a cluster-randomized hybrid type III trial

BACKGROUND

Implementation facilitation is an effective strategy to support the implementation of evidence-based practices (EBPs), but our understanding of multilevel strategies and the mechanisms of change within the "black box" of implementation facilitation is limited. This implementation trial seeks to disentangle and evaluate the effects of facilitation strategies that separately target the care team and leadership levels on implementation of a collaborative care model in pediatric primary care. Strategies targeting the provider care team (TEAM) should engage team-level mechanisms, and strategies targeting leaders (LEAD) should engage organizational mechanisms.

METHODS

We will conduct a hybrid type 3 effectiveness-implementation trial in a 2 × 2 factorial design to evaluate the main and interactive effects of TEAM and LEAD and test for mediation and moderation of effects. Twenty-four pediatric primary care practices will receive standard REP training to implement Doctor-Office Collaborative Care (DOCC) and then be randomized to (1) Standard REP only, (2) TEAM, (3) LEAD, or (4) TEAM + LEAD. Implementation outcomes are DOCC service delivery and change in practice-level care management competencies. Clinical outcomes are child symptom severity and quality of life.

DISCUSSION

This statewide trial is one of the first to test the unique and synergistic effects of implementation strategies targeting care teams and practice leadership. It will advance our knowledge of effective care team and practice-level implementation strategies and mechanisms of change. Findings will support efforts to improve common child behavioral health conditions by optimizing scale-up and sustainment of CCMs in a pediatric patient-centered medical home.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT04946253 . Registered June 30, 2021.

Rates of sustainment in the Universal Stages of Implementation Completion

BACKGROUND

Sustainment is a desirable outcome of implementation, but its precise definition remains unclear, contributing to the difficulty of identifying a generalized rate of sustainment. Several studies and reviews on the topic differ on both definition and levels of analysis. Furthermore, methodological limitations might have influenced the results, including the unknown quality with which some interventions were delivered. The Universal Stages of Implementation Completion (UniSIC) is a standardized measurement tool that tracks the implementation process and milestone completion across a wide range of real-world implementations-this provides a unique opportunity to identify a generalized rate of sustainment.

METHODS

UniSIC data was captured from the SIC website on 27 September 2020 and included data from all sites (n = 1778) that had been tracked to date. Data were restricted to sites that achieved competency in program delivery, and thus had a newly adopted program worthy of sustainment. Dates and indicator variables of implementation activities were combined to form two alternate definitions of sustainment: sustained (start-up) was achieved if sites continued to deliver services 2 years past their program start-up date; sustained (competent) was achieved if sites continued to deliver services 2 years past their competence and/or certification date. Of sites eligible for inclusion based on these definitions (N = 208), descriptive analyses were conducted to determine a rate of sustainment for all programs that successfully started a program. These definitions were also applied to a combined sample for a general rate of sustainment among all sites. Rates of competency among both a sample of sites that started up and a combined sample were also identified.

RESULTS

The rate of competence was 58.5% and the rate of sustained (start-up) was 37.1%, while the rate of sustained (competent) was 25.1%. The rates of competence and sustainment among the combined samples were far lower: 15.6% for competence, 6.8% for sustained (start-up), and 4.4% for sustained (competent).

CONCLUSIONS

These identified rates of sustainment are accurate initial estimates of sustainment of community-based practices, or in general. Future research on rates of sustainment should carefully define measures of sustainment and be transparent about the real-world conditions on which analyses are centered.

Collaborative care for depression management in primary care: A randomized roll-out trial using a type 2 hybrid effectiveness-implementation design

Background

The Collaborative Care Model (CoCM) is a well-established treatment for depression in primary care settings. The critical drivers and specific strategies for improving implementation and sustainment are largely unknown. Rigorous pragmatic research is needed to understand CoCM implementation processes and outcomes.

Methods

This study is a hybrid Type 2 randomized roll-out effectiveness-implementation trial of CoCM in 11 primary care practices affiliated with an academic medical center. The Collaborative Behavioral Health Program (CBHP) was developed as a means of improving access to effective mental health services for depression. Implementation strategies are provided to all practices. Using a sequential mixed methods approach, we will assess key stakeholders’ perspectives on barriers and facilitators of implementation and sustainability of CBHP. The speed and quantity of implementation activities completed over a 30-month period for each practice will be assessed. Economic analyses will be conducted to determine the budget impact and cost offset of CBHP in the healthcare system. We hypothesize that CBHP will be effective in reducing depressive symptoms and spillover effects on chronic health conditions. We will also examine differential outcomes among racial/ethnic minority patients.

Discussion

This study will elucidate critical drivers of successful CoCM implementation. It will be among the first to conduct economic analyses on a fee-for-service model utilizing billing codes for CoCM. Data may inform ways to improve implementation efficiency with an optimization approach to successive practices due to the roll-out design. Changes to the protocol and current status of the study are discussed.

An Exploratory Study of a Training Team-Coordinated Approach to Implementation

Background

It is now widely understood that successful implementation of evidence-based treatments is facilitated by several favorable conditions (e.g., community buy-in, invested agency leadership). However, strategies for supporting agencies in promoting these conditions have been examined to a lesser extent. In this exploratory study, the implementation support procedures of Parenting with Love and Limits (PLL), an evidence-informed family treatment for child/adolescent behavior problems in which the training team follows structured procedures to help coordinate implementation support activities, are illustrated, and their preliminary effectiveness examined.

Methods

PLL documents and communication records between PLL and n = 23 sites across the U.S. that initiated PLL pre-implementation activities were reviewed. In addition, implementation activities completed for each agency were entered into the Stages of Implementation Completion (SIC) dashboard.

Results

The prescriptive nature of the PLL implementation support protocol was illustrated through descriptions of procedural documents and case examples. Quantitative analyses revealed that, among the 23 sites that began pre-implementation, 9 discontinued, with a trend toward sites in metropolitan areas being more likely to discontinue than those in less populous areas. In addition, the 14 sites that launched PLL demonstrated a high amount of consistency in activities, with sites in the sustainability phase completing an average of 86% of implementation behaviors.

Conclusions

Training team-coordination of implementation activities may be one promising approach for supporting agencies in completing tasks to facilitate successful uptake of evidence-supported interventions. In turn, sustained implementation of evidence-supported treatments could allow communities to benefit from practice innovations to a greater extent.

From Research Training to Scientific Advancement-Contributions from the Implementation Research Institute: An Introduction to the Special Issue

The special series is designed to provide examples of funded implementation research conducted by alumni of the first four cohorts of the Implementation Research Institute (IRI). The introduction links the six substantive papers to the conceptual and methodological challenges laid out in a 2009 publication in this journal which led to the IRI training program in the emerging science of implementation with a special focus on behavior health settings. The 7th paper in the series illustrates an innovative evaluative approach to design and measurement of IRI fellow publications and grants informed by the training program such as bibliometrics. The introduction also notes some elements identified in the 2009 foundational paper not represented in these papers such as costs as well as important developments and foci in the decade since 2009 such as de-implementation, sustainability, dynamic adaptation processes, and hybrid designs that need to be an integral part of training programs in implementation research.

Measurement of sustainment of prevention programs and initiatives: the sustainment measurement system scale

Background

Enhancing the sustainability of evidence-based prevention programs for mental and behavioral health requires tools for measuring both sustainability determinants and sustainment outcomes. The aim of this study was to develop the Sustainment Measurement System Scale (SMSS) and to assess its reliability and construct validity for measuring both determinants and outcomes of efforts to sustain prevention programs and initiatives.

Methods

A 42-item scale comprised of items identified from qualitative data collected from 45 representatives of 10 programs and 8 SAMHSA program officers was administered to 186 representatives of 145 programs funded by 7 SAMHSA prevention grant initiatives. Cronbach’s alphas were used to determine inter-item reliability. Convergent validity was assessed by comparisons of a global measure of sustainment with current SAMHSA-funding status and continued operation in the same form. Discriminant validity was assessed by comparisons of sustainability determinants with whether or not the program had undergone adaptations.

Results

Confirmatory factor analysis provided support for a 35-item model fit to the data. Cronbach’s alpha was .84 for the sustainment outcome construct and ranged from .70 to .93 for the sustainability determinant constructs. All of the determinant constructs were significantly associated with sustainment outcome individual and global measures for the entire sample (p < 0.01 to 0.001) and for community-based programs and programs with a substance abuse focus (p < 0.05 to 0.001). Convergent validity was supported by significant associations between the global sustainment measure and current SAMHSA funding status and continued operation in the same form (p < 0.001). Four of the sustainability determinant constructs (responsive to community needs; coalitions, partnerships, and networks; organizational staff capability; and evaluation, feedback, and program outcomes) were also significantly associated with current SAMHSA funding status (p < 0.5 to 0.01). With the exception of organizational staff capability, all sustainability determinants were unrelated to program adaptation as predicted.

Conclusions

The SMSS demonstrated good reliability and convergent and discriminant validity in assessing likelihood of sustainment of SAMHSA funded prevention programs and initiatives. The measure demonstrates potential in identifying predictors of program sustainment and as a tool for enhancing the likelihood of successful sustainment through ongoing evaluation and feedback.

Commentary: Establishing Scientific Rigor and Excellence in Implementation Science Training to Improve the Deployment of Evidence-Based Mental Health Services

Real-world challenges continue to impede the dissemination, implementation and sustainment of high-quality, evidence-based practices, resulting in too many individuals not receiving the effective mental health care that they urgently need. The field of implementation science is poised to generate new solutions to address this important public health problem. Training a new generation of researchers in implementation science is one solution. The Implementation Research Institute (IRI) offers one approach to such training. The papers in this series, authored by some of the IRI graduates, illustrate the depth and breadth of the intellectual scope of IRI graduates' contributions to the implementation science field, chronicles important lessons learned, and underscores the IRI's training capacity. This commentary reflects upon the series in terms of a framework and themes that relate to core implementation science principles and to future research that corresponds to the National Institute of Mental Health research priorities and strategic plan.

A Longitudinal Mixed Method Approach for Assessing Implementation Context and Process Factors: Comparison of Three Sites from a Housing First Implementation Strategy Pilot

BACKGROUND

Implementation science's focus on establishing implementation strategy effectiveness has overshadowed the need to understand differential performance of such strategies under various conditions. Methods allowing for assessment between implementation context and process can help address this gap. This paper provides a detailed description of a mixed method procedure for assessing factors related to the implementation context and process intersection, which was developed as part of the pilot study of the Housing First Technical Assistance and Training (HFTAT) Program, a multifaceted strategy designed to support Housing First model implementation.

METHODS

The HFTAT was pilot tested among a sample of three organizations. Our mixed method approach combines two tools often used in implementation research-the Stages of Implementation Completion and the Consolidated Framework for Implementation Research-in a novel way. Several stages to analysis were completed, starting with a separate analysis of data pertaining to each measure and then two levels of mixed method analysis.

RESULTS

The approach provided a better understanding of the issues that impacted the implementation guided by the HFTAT, suggesting: (1) individual determinants seemed to have a bigger impact based on the number of SIC phases they affected, (2) implementation context and process were connected through climate-related factors in the inner setting that made the sites more or less responsive to addressing identified barriers, and (3) there is a need to better assess context factors to identify areas where implementation drivers should be better targeted to facilitate change, and this is supported by prior research.

CONCLUSIONS

Understanding the underlying factors impacting a setting's performance related to a specific implementation strategy has potential to improve decision-making and optimize future implementation efforts. The approach likely be as successful combining the SIC with other determinant frameworks and should be utilized at the onset of an implementation project to maximize its usefulness.

The Role of the Patient-Centered Medical Home in Treating Depression

PURPOSE OF REVIEW

This review discusses the role of the patient-centered medical home (PCMH) in treating depression, focusing on findings from primary care-based studies and their implications for the PCMH.

RECENT FINDINGS

Pharmacotherapy, psychotherapy, and collaborative care are evidence-based treatments for depression that can be delivered in primary care and extended to diverse populations. Recent research aligns with the core components of the PCMH model. The core components of the PCMH are critical elements of depression treatment. Comprehensive care within the PCMH addresses medical and behavioral health concerns, including depression. Psychiatric and psychological care must be flexibly delivered so services remain accessible yet patient-centered. To ensure the quality and safety of treatment, depression symptoms must be consistently monitored. Coordination within and occasionally outside of the PCMH is needed to ensure patients receive the appropriate level of care. More research is needed to empirically evaluate depression treatment within the PCMH.