Similarities and Differences Between Pragmatic Trials and Hybrid Effectiveness-Implementation Trials.

Pragmatism in clinical trials is focused on increasing the generalizability of research findings for routine clinical care settings. Hybridism in clinical trials (i.e., assessing both clinical effectiveness and implementation success) is focused on speeding up the process by which evidence-based practices are developed and adopted into routine clinical care. Even though pragmatic trial methodologies and implementation science evolved from very different disciplines, Pragmatic Trials and Hybrid Effectiveness-Implementation Trials share many similar design features. In fact, these types of trials can easily be conflated, creating the potential for investigators to mislabel their trial type or mistakenly use the wrong trial type to answer their research question. Blurred boundaries between trial types can hamper the evaluation of grant applications, the scientific interpretation of findings, and policy-making. Acknowledging that most trials are not pure Pragmatic Trials nor pure Hybrid Effectiveness-Implementation Trials, there are key differences in these trial types and they answer very different research questions. The purpose of this paper is to clarify the similarities and differences of these trial types for funders, researchers, and policy-makers. In addition, recommendations are offered to help investigators choose, label, and operationalize the most appropriate trial type to answer their research question. These recommendations complement existing reporting guidelines for clinical effectiveness trials (TIDieR) and implementation trials (StaRI).

Testing an Organizational Implementation Process Model Related to Teachers' Implementation-Related Attitudes and Behaviors: a Multilevel Mediation Analysis.

The effectiveness of school-based universal prevention programs is frequently diminished due to low-quality implementation. Organizational factors support high-quality implementation because of their broad influence across implementers. Conceptually, implementation leadership (i.e., behaviors that prioritize, reward, and support evidence-based practice [EBP] implementation) works to embed a favorable implementation climate (i.e., implementers' collective perceptions that their organization prioritizes, rewards, and support EBP implementation) leading to improved implementation citizenship behavior and attitudes toward EBP. This organizational implementation process model has some empirical support but has not been tested in a multilevel framework or related to hypothesized attitudinal and behavioral outcomes. The sample included 319 teachers across 39 US public elementary schools; all were implementing Schoolwide Positive Behavior Interventions and Supports. Multilevel mediation (level 1 = teacher, level 2 = school) was used to test the indirect association of implementation leadership on implementation-related attitudes and behaviors via implementation climate across two time points (fall and spring). At the school level, the organizational implementation process model was validated related to implementation citizenship behavior, but not attitudes toward EBP. At the teacher level, the process model was validated related to both outcomes, and there was a significant direct effect of implementation leadership on attitudes toward EBP. Developing strong leaders for implementation seems key to achieving high-quality EBP implementation. Implications for schools, principal training, and research are discussed.

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.

A Pre-Implementation Enhancement Strategy to Increase the Yield of Training and Consultation for School-Based Behavioral Preventive Practices: a Triple-Blind Randomized Controlled Trial.

As the most common setting where youth access behavioral healthcare, the education sector frequently employs training and follow-up consultation as cornerstone implementation strategies to promote the implementation of evidence-based practices (EBPs). However, these strategies alone are not sufficient to promote desirable implementation (e.g., intervention fidelity) and youth behavioral outcomes (e.g., mitigated externalizing behaviors). Theory-informed pragmatic pre-implementation enhancement strategies (PIES) are needed to prevent the lackluster outcomes of training and consultation. Specifically, social cognitive theory explicates principles that inform the design of PIES content and specify mechanisms of behavior change (e.g., "intentions to implement" (ITI)) to target increasing providers' responsiveness to training and consultation. This triple-blind parallel randomized controlled trial preliminarily examined the efficacy of a pragmatic PIES based on social cognitive theories (SC-PIES) to improve implementation and youth behavioral outcomes from universal preventive EBPs in the education sector. Teachers from a diverse urban district were recruited and randomly assigned to the treatment (SC-PIES; ntreatment = 22) or active control condition (administrative meeting; ncontrol = 21). Based on the condition assigned, teachers received the SC-PIES or met with administrators before their EBP training. We assessed teachers' ITI, intervention fidelity, and youth behavioral outcome (academic engagement as an incompatible behavior to externalizing disorders) at baseline, immediately after training, and 6 weeks afterward. A series of ANCOVAs detected sizeable effects of SC-PIES, where teachers who received SC-PIES demonstrated significantly larger improvement in their ITI, intervention fidelity, and youth behaviors as compared to the control. Conditional analyses indicated that teachers' ITI partially mediated the effect of SC-PIES on intervention fidelity, which in turn led to improved youth behaviors. Findings suggest that theory-informed pragmatic PIES targeting providers' ITI can boost their responsiveness to implementation strategies, as reflected in improved implementation behaviors and youth behavioral outcomes. The results have implications for targeting motivational mechanisms of behavior change and situating preventive implementation strategies at the intersection between the preparation and active implementation stages of an implementation process. Limitations and implications for research and practice are discussed. Clinicaltrials.gov: NCT05240222. Registered on: 2/14/2022. Retrospectively registered.  https://clinicaltrials.gov/show/NCT05240222.

Study Protocol: Multi-level Determinants of Implementation and Sustainment in the Education Sector.

Evidence-based programs (EBPs) delivered in elementary schools show great promise in reducing risk for emotional and behavioral disorders (EBDs). However, efforts to sustain EBPs in school face barriers. Improving EBP sustainment thus represents a priority, but little research exists to inform the development of sustainment strategies. To address this gap, the Sustaining Evidenced-Based Innovations through Multi-level Implementation Constructs (SEISMIC) project will: (a) Determine if malleable individual, intervention, and organizational factors predict EBP treatment fidelity and modifications during implementation, sustainment, or both; (b) Assess the impact of EBP fidelity and modifications on child outcomes during implementation and sustainment; and (c) Explore the mechanisms through which individual, intervention, and organizational factors influence sustainment outcomes. This protocol paper describes SEISMIC, which builds upon a federally-funded RCT evaluating BEST in CLASS, a teacher-delivered program for K-3rd grade children at risk for EBDs. The sample will include 96 teachers, 384 children, and 12 elementary schools. A multi-level, interrupted time series design will be used to examine the relationship between baseline factors, treatment fidelity, modifications, and child outcomes, followed by a mixed-method approach to elucidate the mechanisms that influence sustainment outcomes. Findings will be used to create a strategy to improve EBP sustainment in schools.

To Utility and Beyond! Specifying and Advancing the Utility of Measurement-Based Care for Youth.

Mental health organizations that serve youth are under pressure to adopt measurement-based care (MBC), defined as the continuous collection of client-report data used to support clinical decision-making as part of standard care. However, few frameworks exist to help leadership ascertain how to select an MBC approach for a clinical setting. This paper seeks to define how an MBC approach can display clinical utility to provide such a framework. Broadly, we define clinical utility as evidence that an MBC approach assists stakeholders in fulfilling clinical goals related to care quality (i.e., improve client-clinician alliance and clinical outcomes) at the client (i.e., youth and caregiver), clinician, supervisor, and administrator levels. More specifically, our definition of clinical utility is divided into two categories relevant to the usability and usefulness of an MBC approach for a specific setting: (a) implementability (i.e., evidence indicating ease of use in a clinical setting) and (b) usefulness in aiding clinical activities (i.e., evidence indicating the potential to improve communication and make clinical activities related to care quality easier or more effective). These categories provide valuable information about how easy an MBC approach is to use and the potential benefits that the MBC data will confer. To detail how we arrived at this definition, we review prior definitions of clinical utility, discuss how previous definitions inform our definition of clinical utility for MBC, and provide examples of how the concept of clinical utility can be applied to MBC. We finish with a discussion of future research directions.

Usability Issues in Evidence-Based Psychosocial Interventions and Implementation Strategies: Cross-project Analysis.

BACKGROUND: People often prefer evidence-based psychosocial interventions (EBPIs) for mental health care; however, these interventions frequently remain unavailable to people in nonspecialty or integrated settings, such as primary care and schools. Previous research has suggested that usability, a concept from human-centered design, could support an understanding of the barriers to and facilitators of the successful adoption of EBPIs and support the redesign of EBPIs and implementation strategies. OBJECTIVE: This study aimed to identify and categorize usability issues in EBPIs and their implementation strategies. METHODS: We adapted a usability issue analysis and reporting format from a human-centered design. A total of 13 projects supported by the National Institute of Mental Health-funded Accelerating the Reach and Impact of Treatments for Youth and Adults with Mental Illness Center at the University of Washington used this format to describe usability issues for EBPIs and implementation strategies with which they were working. Center researchers used iterative affinity diagramming and coding processes to identify usability issue categories. On the basis of these categories and the underlying issues, we propose heuristics for the design or redesign of EBPIs and implementation strategies. RESULTS: The 13 projects reported a total of 90 usability issues, which we categorized into 12 categories, including complex and/or cognitively overwhelming, required time exceeding available time, incompatibility with interventionist preference or practice, incompatibility with existing workflow, insufficient customization to clients/recipients, intervention buy-in (value), interventionist buy-in (trust), overreliance on technology, requires unavailable infrastructure, inadequate scaffolding for client/recipient, inadequate training and scaffolding for interventionists, and lack of support for necessary communication. These issues range from minor inconveniences that affect a few interventionists or recipients to severe issues that prevent all interventionists or recipients in a setting from completing part or all of the intervention. We propose 12 corresponding heuristics to guide EBPIs and implementation strategy designers in preventing and addressing these usability issues. CONCLUSIONS: Usability issues were prevalent in the studied EBPIs and implementation strategies. We recommend using the lens of usability evaluation to understand and address barriers to the effective use and reach of EBPIs and implementation strategies. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/14990.

Implementation of School Diabetes Care in the United States: A Scoping Review.

Diabetes management at school demands close collaboration of multiple stakeholders, including students with diabetes and parents, school nurses, teachers/staff, and local health care providers. This scoping review identified and synthesized evidence concerning factors that contributed to the quality and effectiveness of diabetes care implementation in U.S. K-12 schools. Forty-six studies met the eligibility criteria and were included. Five common factors emerged surrounding training and experiences, communications, parent engagement, resource allocations, and school environment. Complex interactions between multiple stakeholders jointly determined the quality of school diabetes care. A conceptual model was established to elucidate the complex interactions between multiple stakeholders and the relevant facilitators and barriers. Future research should improve sample representativeness, contrast school diabetes care practices to the national guidelines, and assess the impact of the social, economic, and political environment at federal, state, local/district levels on school diabetes care implementation.

Examining the Effects of a Brief, Group-Based Motivational Implementation Strategy on Mechanisms of Teacher Behavior Change.

Training and consultation are core implementation strategies used to support the adoption and delivery of evidence-based prevention programs (EBPPs), but are often insufficient alone to effect teacher behavior change. Motivational interviewing (MI) and related behavior change techniques (e.g., strategic education, social influence, implementation planning) delivered in a group format offer promising supplements to training and consultation to improve EBPP implementation. Beliefs and Attitudes for Successful Implementation in Schools for Teachers (BASIS-T) is a theoretically informed, motivational implementation strategy delivered in a group format prior to and immediately after EBPP training. The purpose of this study was to examine the proximal effects of BASIS-T on hypothesized mechanisms of behavior change (e.g., attitudes, subjective norms, intentions to implement) in the context of teachers receiving training and consultation to implement the Good Behavior Game. As part of a pilot trial, 83 elementary school teachers from 9 public elementary schools were randomly assigned (at the school-level to reduce contamination across participants) to a BASIS-T (n = 44) or active comparison control (n = 39) condition, with both conditions receiving Good Behavior Game (GBG) training and consultation. A series of mixed effects models revealed meaningful effects favoring BASIS-T on a number of hypothesized mechanisms of behavior change leading to increased motivation to implement GBG. The implications, limitations, and directions for future research on the use of MI with groups of individuals and other behavior change techniques to increase the yield of training and consultation are discussed.

Rates of Mental Health Service Utilization by Children and Adolescents in Schools and Other Common Service Settings: A Systematic Review and Meta-Analysis.

A meta-analysis was conducted to examine the relative rates of youth mental health service utilization across settings among the general population and among those with elevated mental health symptoms or clinical diagnoses. Rates of school-based mental health were compared to outpatient, primary care, child welfare, juvenile justice, and inpatient. Nine studies presented rates of mental health service use for general-population youth in the U.S., and 14 studies presented rates for youth with elevated symptoms or clinical diagnoses. Random effects meta-analysis was used to calculate mean proportions of youth receiving care in each sector. Of general population youth, 7.28% received school mental health services. Rates for other sectors are as follows: 7.26% in outpatient settings, 1.76% in primary care, 1.80% in inpatient, 1.35% in child welfare, and 0.90% juvenile justice. For youth with elevated mental health symptoms or diagnoses, 22.10% of youth were served by school-based mental health services, 20.56% outpatient settings, 9.93% primary care, 9.05% inpatient, 7.90% child welfare, and 4.50% juvenile justice. Schools and outpatient settings are the most common loci of mental health care for both the general population and samples of youth with elevated symptoms or clinical diagnoses, although substantial amounts of care are also provided in a range of other settings. Results hold potential for informing resource allocation, legislation and policy, intervention development, and research. Given that mental health services are delivered across many settings, findings also point to the need for interconnection across child-serving sectors, particularly schools and outpatient clinics.

What Gets Measured Gets Done: How Mental Health Agencies can Leverage Measurement-Based Care for Better Patient Care, Clinician Supports, and Organizational Goals.

Mental health clinicians and administrators are increasingly asked to collect and report treatment outcome data despite numerous challenges to select and use instruments in routine practice. Measurement-based care (MBC) is an evidence-based practice for improving patient care. We propose that data collected from MBC processes with patients can be strategically leveraged by agencies to also support clinicians and respond to accountability requirements. MBC data elements are outlined using the Precision Mental Health Framework (Bickman et al. in Adm Policy Mental Health Mental Health Serv Res 43:271-276, 2016), practical guidance is provided for agency administrators, and conceptual examples illustrate strategic applications of one or more instruments to meet various needs throughout the organization.

Middle and High School Student Perspectives on Digitally-Delivered Mental Health Assessments and Measurement Feedback Systems.

Implementation of measurement-based care (MBC) by child-serving community mental health providers, particularly school-based providers, is low. To inform user-centered design of measurement feedback systems (MFSs) and MBC implementation more broadly, semi-structured interviews were conducted with 61 middle and high school students. Interviews explored student preferences for and perceived helpfulness of different assessment methods and use of MFS in counseling. Results indicate that student preference for digitally-administered assessment is equivocal, with preferences being influenced by student perceptions of the ease of use, impersonalization, and confidentiality. Students with exposure to the MFS found it helpful when used by their provider to share assessment feedback.

Designing the Future of Children's Mental Health Services.

Advancements in evidence-based psychosocial interventions, digital technologies, and implementation strategies (i.e., health services research products) for youth mental health services have yet to yield significant improvement in public health outcomes. Achieving such impact will require that these research products are easy to use, useful, and contextually appropriate. This paper describes how human-centered design (HCD), an approach that aligns product development with the needs of the people and settings that use those products, can be leveraged to improve youth mental health services. We articulate how HCD can advance accessibility, effectiveness, and equity, with specific consideration of unique aspects of youth mental health services.

A Digital Feedback System to Support Implementation of Measurement-Based Care by School-Based Mental Health Clinicians.

Evidence supports the utility of measurement-based care (MBC) to improve youth mental health outcomes, but clinicians rarely engage in MBC practices. Digital measurement feedback systems (MFS) may reflect a feasible strategy to support MBC adoption and sustainment. This pilot study was initiated to evaluate the impact of a MFS and brief consultation supports to facilitate MBC uptake and sustainment among mental health clinicians in the education sector, the most common mental health service delivery setting for youth. Following an initial training in MBC, 14 clinicians were randomized to either a digital MFS and brief consultation supports or control. Baseline ratings of MBC attitudes, skill, and use were collected. In addition, daily assessment ratings tracked 2 core MBC practices (i.e., assessment tool administration, provision of feedback) over a 6-month follow-up period. Clinicians in the MFS condition demonstrated rapid increases in both MBC practices, whereas the control group did not significantly change. For clinicians in the MFS group, consultation effects were significant for feedback and approached significance for administration. Over the follow-up period, average decreases in the current study were moderate with only 1 of the 2 outcome variables (administration) decreasing significantly. Inspection of individual clinician trajectories revealed substantial within-group trend variation. MFS may represent an effective MBC implementation strategy beyond initial training, although individual clinician response is variable. Identifying feasible and impactful implementation strategies is critical given the ability of MBC to support precision health care.

Measuring the Implementation of Behavioral Intervention Technologies: Recharacterization of Established Outcomes.

Behavioral intervention technologies (BITs) are websites, software, mobile apps, and sensors designed to help users address or change behaviors, cognitions, and emotional states. BITs have the potential to transform health care delivery, and early research has produced promising findings of efficacy. BITs also favor new models of health care delivery and provide novel data sources for measurement. However, there are few examples of successful BIT implementation and a lack of consensus on as well as inadequate descriptions of BIT implementation measurement. The aim of this viewpoint paper is to provide an overview and characterization of implementation outcomes for the study of BIT use in routine practice settings. Eight outcomes for the evaluation of implementation have been previously described: acceptability, adoption, appropriateness, feasibility, fidelity, implementation cost, penetration, and sustainability. In a proposed recharacterization of these outcomes with respect to BIT implementation, definitions are clarified, expansions to the level of analysis are identified, and unique measurement characteristics are discussed. Differences between BIT development and implementation, an increased focus on consumer-level outcomes, the expansion of providers who support BIT use, and the blending of BITs with traditional health care services are specifically discussed. BITs have the potential to transform health care delivery. Realizing this potential, however, will hinge on high-quality research that consistently and accurately measures how well such technologies have been integrated into health services. This overview and characterization of implementation outcomes support BIT research by identifying and proposing solutions for key theoretical and practical measurement challenges.

Integrating implementation and user-centred design strategies to enhance the impact of health services: protocol from a concept mapping study.

BACKGROUND: Innovative approaches are needed to maximise the uptake and sustainment of evidence-based practices in a variety of health service contexts. This protocol describes a study that will seek to characterise the potential of one such approach, user-centred design (UCD), which is an emerging field that seeks to ground the design of an innovation in information about the people who will ultimately use that innovation. The use of UCD to enhance strategies for implementation of health services, although promising, requires a multidisciplinary perspective based on a firm understanding of how experts from each discipline perceives the interrelatedness and suitability of these strategies. METHOD: This online study will use a combination of purposive and snowball sampling to recruit a sample of implementation experts (n = 30) and UCD experts (n = 30). These participants will each complete a concept mapping task, which is a mixed-method conceptualisation technique that will allow for identification of distinct clusters of implementation and/or UCD strategies. The research team has selected a set of implementation strategies and UCD strategies that each participant will sort and rate on dimensions of importance and feasibility. Data analyses will focus on describing the sample, identifying related clusters of strategies, and examining the convergences, divergences, and potential for collaboration between implementation science and UCD. DISCUSSION: By leading to a better understanding of the overlap between implementation science and UCD, grounded within established theoretical frameworks, this study holds promise for improving the impact and sustainability of evidence-based health services in community settings.

Adapting a Compilation of Implementation Strategies to Advance School-Based Implementation Research and Practice.

Schools, like other service sectors, are confronted with an implementation gap, with the slow adoption and uneven implementation of evidence-based practices (EBP) as part of routine service delivery, undermining efforts to promote better youth behavioral health outcomes. Implementation researchers have undertaken systematic efforts to publish taxonomies of implementation strategies (i.e., methods or techniques that are used to facilitate the uptake, use, and sustainment of EBP), such as the Expert Recommendations for Implementing Change (ERIC) Project. The 73-strategy ERIC compilation was developed in the context of healthcare and largely informed by research and practice experts who operate in that service sector. Thus, the comprehensibility, contextual appropriateness, and utility of the existing compilation to other service sectors, such as the educational setting, remain unknown. The purpose of this study was to initiate the School Implementation Strategies, Translating ERIC Resources (SISTER) Project to iteratively adapt the ERIC compilation to the educational sector. The results of a seven-step adaptation process resulted in 75 school-adapted strategies. Surface-level changes were made to the majority of the original ERIC strategies (52 out of 73), while five of the strategies required deeper modifications for adaptation to the school context. Six strategies were deleted and seven new strategies were added based on existing school-based research. The implications of this study's findings for prevention scientists engaged in implementation research (e.g., creating a common nomenclature for implementation strategies) and limitations are discussed.

Testing and Exploring the Limits of Traditional Notions of Fidelity and Adaptation in Implementation of Preventive Interventions.

This commentary reflects on key challenges raised across the articles of this special issue, notably the tension between fidelity and adaptation, the importance of articulating core components and principles of evidence-based programs, the need for pragmatic measures, and the challenges associated with articulating and testing mechanisms of implementation strategies. These challenges are amplified in the context of prevention research where task shifting, or revising professional roles, is especially common. Synergies with work emerging from the Society for Implementation Research Collaboration are highlighted throughout.

Impact of a Web-Based Electronic Health Record on Behavioral Health Service Delivery for Children and Adolescents: Randomized Controlled Trial.

BACKGROUND: Electronic health records (EHRs) have been widely proposed as a mechanism for improving health care quality. However, rigorous research on the impact of EHR systems on behavioral health service delivery is scant, especially for children and adolescents. OBJECTIVE: The current study evaluated the usability of an EHR developed to support the implementation of the Wraparound care coordination model for children and youth with complex behavioral health needs, and impact of the EHR on service processes, fidelity, and proximal outcomes. METHODS: Thirty-four Wraparound facilitators working in two programs in two states were randomized to either use the new EHR (19/34, 56%) or to continue to implement Wraparound services as usual (SAU) using paper-based documentation (15/34, 44%). Key functions of the EHR included standard fields such as youth and family information, diagnoses, assessment data, and progress notes. In addition, there was the maintenance of a coordinated plan of care, progress measurement on strategies and services, communication among team members, and reporting on services, expenditures, and outcomes. All children and youth referred to services for eight months (N=211) were eligible for the study. After excluding those who were ineligible (69/211, 33%) and who declined to participate (59/211, 28%), a total of 83/211 (39%) children and youth were enrolled in the study with 49/211 (23%) in the EHR condition and 34/211 (16%) in the SAU condition. Facilitators serving these youth and families and their supervisors completed measures of EHR usability and appropriateness, supervision processes and activities, work satisfaction, and use of and attitudes toward standardized assessments. Data from facilitators were collected by web survey and, where necessary, by phone interviews. Parents and caregivers completed measures via phone interviews. Related to fidelity and quality of behavioral health care, including Wraparound team climate, working alliance with providers, fidelity to the Wraparound model, and satisfaction with services. RESULTS: EHR-assigned facilitators from both sites demonstrated the robust use of the system. Facilitators in the EHR group reported spending significantly more time reviewing client progress (P=.03) in supervision, and less time overall sending reminders to youth/families (P=.04). A trend toward less time on administrative tasks (P=.098) in supervision was also found. Facilitators in both groups reported significantly increased use of measurement-based care strategies overall, which may reflect cross-group contamination (given that randomization of staff to the EHR occurred within agencies and supervisors supervised both types of staff). Although not significant at P<.05, there was a trend (P=.10) toward caregivers in the EHR group reporting poorer shared agreement on tasks on the measure of working alliance with providers. No other significant between-group differences were found. CONCLUSIONS: Results support the proposal that use of EHR systems can promote the use of client progress data and promote efficiency; however, there was little evidence of any impact (positive or negative) on overall service quality, fidelity, or client satisfaction. The field of children's behavioral health services would benefit from additional research on EHR systems using designs that include larger sample sizes and longer follow-up periods. TRIAL REGISTRATION: ClinicalTrials.gov NCT02421874; https://clinicaltrials.gov/ct2/show/NCT02421874 (Archived by WebCite at http://www.webcitation.org/6yyGPJ3NA).

Individualized Progress Measures Are More Acceptable to Clinicians Than Standardized Measures: Results of a National Survey.

Despite research supporting measurement-based care grounded in standardized progress measures, such measures are underutilized by clinicians. Individualized measures of client-specific targets present an alternative, but little is known about their acceptability or use. We compared attitudes toward and use of standardized and individualized progress measures in a national sample of 504 clinicians. Clinicians reported neutral to positive attitudes toward both types of measures, but strongly preferred and were more likely to use individualized measures. Clinician attitudes, theoretical orientation, and work setting predicted assessment preferences and practices. Implications for dissemination and implementation of measurement-based care are discussed.