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

Measurement-Based Care in Youth: An Opportunity for Better Clinical Outcomes?

Measurement-based care (MBC) is a procedure in which systematic and routine assessments are performed. Through this practice, clinicians can verify the progress of the symptomatology of the patient and adapt the appointments and the intervention to the current symptoms. Studies have reflected on the importance and the benefits of this type of procedure in the adult population, and have shown positive results. However, there is a lack of evidence concerning the remaining populations. Regarding youth, for instance, few articles have evaluated the benefits of using this procedure in clinical practice. However, research focused on this topic has revealed positive results, especially when clinicians were loyal to the MBC procedures. Still, further research is needed. This letter aims to share the methodology used by our multidisciplinary team, composed of psychologists and psychiatrists, in a clinical context at the Hospital Cruz Vermelha, Lisboa, applied to the adult population; the objective is to share and discuss some alterations that could be made to our evaluation protocol to enable the same to be used with the youth population. We believe that implementing MBC for youth is crucial for several reasons, including enhanced treatment efficacy, more personalized treatment, a reduced reliance on subjectivity, and empowerment not only of patients but also families.

Consultation as an Implementation Strategy to Increase Fidelity of Measurement-Based Care Delivery in Community Mental Health Settings: An Observational Study

Regularly administering outcome measures to clients to inform clinical decision making, referred to as measurement-based care (MBC), has the potential to improve mental health treatment due to its applicability across disorders and treatment settings. Given the utility of MBC, understanding predictors of high-fidelity MBC implementation is important. Training and consultation are widely used implementation strategies to increase the fidelity of evidence-based practice delivery but have rarely been studied with MBC. The current study will examine the relationship between time clinicians spent discussing a case in consultation ("dosage") and MBC fidelity. Thirty clinicians and 56 youth were in the MBC condition of a randomized controlled trial and completed baseline questionnaires. Consultation dosage was extracted from call notes. MBC fidelity was measured using the implementation index, which combines rates of administering and viewing questionnaires, using objective data from the online MBC system. Multi-level modeling was used. Greater consultation dosage significantly predicted a higher implementation index (ß = 0.27, SE = 0.06, p < .001). For every 30 min spent discussing a case in consultation, the case's MBC fidelity increased by 8.1%. Greater consultation dosage significantly predicted higher rates of administration (ß = 0.07, SE = 0.03, p = 0.033) and feedback report viewing (ß = 0.24, SE = 0.06, p < .001). More consultation at the case level predicts greater MBC fidelity using objective measures. The greatest impact was increasing the clinician feedback report viewing rate. The results of this study can help inform future efforts to increase the fidelity with which MBC is delivered and to make consultation as efficient and effective as possible.

A Structural Model of Organization and Clinician Factors Associated with Standardized Measure Use in a National Survey of Youth Mental Health Providers

Standardized assessment measures are important for accurate diagnosis of mental health problems and for treatment planning and evaluation. However, little is known about youth mental health providers' typical use of standardized measures across disciplines and outside the context of evidence-based practice initiatives. A multidisciplinary national survey examined the frequency with which 674 youth mental health providers administer standardized and unstandardized measures, and the extent to which organizational (i.e., implementation climate, rigid hierarchical organizational structure) and provider (i.e., attitudes toward standardized assessment measures, highest degree, practice setting) characteristics are associated with standardized measure use. Providers used unstandardized measures far more frequently than standardized measures. Providers' perceptions (a) that standardized measures are practical or feasible, (b) that their organization supports and values evidence-based practices, and (c) that their organization has a rigid hierarchical structure predicted greater use of standardized measures. Working in schools predicted less frequent SMU, while working in higher education and other professional settings predicted more frequent SMU. Standardized measures were not routinely used in this community-based sample. A rigid hierarchical organizational structure may be conducive to more frequent administration of standardized measures, but it is unclear whether such providers actually utilize these measures for clinical decision-making. Alternative strategies to promote standardized measure use may include promoting organizational cultures that value empirical data and encouraging use of standardized measures and training providers to use pragmatic standardized measures for clinical decision making.

Taking a Magnifying Glass to Measurement-Based Care Consultation Sessions: with What Issues Do Mental Health Clinicians Struggle?

PURPOSE

Ongoing consultation following initial training is one of the most commonly deployed implementation strategies to facilitate uptake of evidence-based practices, such as measurement-based care (MBC). Group consultation provides an interactive experience with an expert and colleagues to get feedback on actual issues faced, yet there is little research that unpacks the questions raised in consultation and what types of issues are important to address.

METHODS

The current study characterized the questions and concerns raised by community mental health clinicians (N = 38 across six clinics) during group consultation sessions completed as part of an MBC implementation trial. We conducted a qualitative content analysis of consultation forms completed by clinicians before each MBC consultation session.

RESULTS

Clinicians sought MBC consultation for clients across a range of ages and levels of depression severity. Qualitative results revealed five main questions and concerns in consultation sessions: (1) how to administer the PHQ-9, (2) how to review PHQ-9 scores, (3) how to respond to PHQ-9 score, (4) the types of clients for whom MBC would be appropriate, and (5) how MBC could impact a clinician's usual care.

CONCLUSION

Findings highlight the need for ongoing consultation and limitations of workshop training alone. Practical recommendations for addressing the common questions and concerns identified are presented to support MBC use.

The results of clinician-focused implementation strategies on uptake and outcomes of Measurement-Based Care (MBC) in general mental health care

BACKGROUND

Measurement-Based Care (MBC) is the routine administration of measures, clinicians' review of the feedback and discussion of the feedback with their clients, and collaborative evaluation of the treatment plan. Although MBC is a promising way to improve outcomes in clinical practice, the implementation of MBC faces many barriers, and its uptake by clinicians is low. The purpose of this study was to investigate whether implementation strategies that were developed with clinicians and aimed at clinicians had an effect on (a) clinicians' uptake of MBC and (b) clients' outcomes of MBC.

METHODS

We used an effectiveness-implementation hybrid design based on Grol and Wensing's implementation framework to assess the impact of clinician-focused implementation strategies on both clinicians' uptake of MBC and outcomes obtained with MBC for clients in general mental health care. We hereby focused on the first and second parts of MBC, i.e., the administration of measures and use of feedback. Primary outcome measures were questionnaire completion rate and discussion of the feedback with clients. Secondary outcomes were treatment outcome, treatment length, and satisfaction with treatment.

RESULTS

There was a significant effect of the MBC implementation strategies on questionnaire completion rate (one part of clinicians' uptake), but no significant effect on the amount of discussion of the feedback (the other part of clinicians' uptake). Neither was there a significant effect on clients' outcomes (treatment outcome, treatment length, and satisfaction with treatment). Due to various study limitations, the results should be viewed as exploratory.

CONCLUSIONS

Establishing and sustaining MBC in real-world general mental health care is complex. This study helps to disentangle the effects of MBC implementation strategies on differential clinician uptake, but the effects of MBC implementation strategies on client outcomes need further examination.

Study What You Do: Developing a Psychotherapy Tracking Database in a Large-Scale Integrated Behavioral Health Service

PURPOSE

Many individuals with behavioral health challenges receive services in primary care, and integrated behavioral health (IBH) programs can help increase access to evidence-based interventions. IBH programs can benefit substantially from integrating standardized tracking databases that allow for the implementation of measurement-based care to evaluate patient-, clinician-, and practice-level outcomes. We describe the development and integration of Mayo Clinic's pediatric and adult primary care psychotherapy tracking database.

METHODS

IBH practice leaders directed the development of a large psychotherapy tracking database that continuously populates from Mayo Clinic's electronic health record system. The database captures numerous patient variables including demographics, behavioral health and substance use issues, psychotherapy principles used, and self-reported symptoms. We retrieved current data for patients empaneled in Mayo Clinic's pediatric and adult primary care psychotherapy programs from June 2014 to June 2022.

RESULTS

The tracking database contained data for 16,923 adult patients and 6,298 pediatric patients. The mean age of adult patients was 43.2 years (SD 18.3), 88.1% were non-Latine White, and 66.7% identified as female. The mean age of pediatric patients was 11.6 years (SD 4.2), 82.5% were non-Latine White, and 56.9% identified as female. We provide examples of practical applications of the database across clinical, educational, research, and administrative domains.

CONCLUSIONS

The development and integration of a psychotherapy tracking database supports clinician communication, examination of patient outcomes, practice quality improvement efforts, and clinically relevant research. Our description of Mayo Clinic's IBH database may serve as a model for other IBH practices.

Implementation strategies to promote measurement-based care in schools: evidence from mental health experts across the USA

BACKGROUND

Despite an established taxonomy of implementation strategies, minimal guidance exists for how to select and tailor strategies to specific practices and contexts. We employed a replicable method to obtain stakeholder perceptions of the most feasible and important implementation strategies to increase mental health providers' use of measurement-based care (MBC) in schools. MBC is the routine use of patient-reported progress measures throughout treatment to inform patient-centered, data-driven treatment adjustments.

METHODS

A national sample of 52 school mental health providers and researchers completed two rounds of modified Delphi surveys to rate the relevance, importance, and feasibility of 33 implementation strategies identified for school settings. Strategies were reduced and definitions refined using a multimethod approach. Final importance and feasibility ratings were plotted on "go-zone" graphs and compared across providers and researchers to identify top-rated strategies.

RESULTS

The initial 33 strategies were rated as "relevant" or "relevant with changes" to MBC in schools. Importance and feasibility ratings were high overall for both survey rounds; on a scale of 1 to 5, importance ratings (3.61-4.48) were higher than feasibility ratings (2.55-4.06) on average. Survey 1 responses resulted in a reduced, refined set of 21 strategies, and six were rated most important and feasible on Survey 2: (1) assess for readiness and identify barriers and facilitators; (2) identify and prepare champions; (3) develop a usable implementation plan; (4) offer a provider-informed menu of free, brief measures; (5) develop and provide access to training materials; and (6) make implementation easier by removing burdensome documentation tasks. Provider and researcher ratings were not significantly different, with a few exceptions: providers reported higher feasibility and importance of removing burdensome paperwork than researchers, providers reported higher feasibility of train-the trainer approaches than researchers, and researchers reported higher importance of monitoring fidelity than providers.

CONCLUSIONS

The education sector is the most common setting for child and adolescent mental health service delivery in the USA. Effective MBC implementation in schools has the potential to elevate the quality of care received by many children, adolescents, and their families. This empirically derived, targeted list of six implementation strategies offers potential efficiencies for future testing of MBC implementation in schools.

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.

Exploration, Preparation, and Implementation of Standardized Assessment in a Multi-agency School Behavioral Health Network

School mental health treatment services offer broad public health impact and could benefit from more widespread implementation and sustainment of standardized assessments (SA). This demonstration study describes one approach to increase SA use in a large school behavioral health network using the Exploration, Preparation, Implementation and Sustainment (EPIS) framework. Mental health administrator interviews with four participating agencies and a multidisciplinary planning team informed SA measure selection and implementation supports. The SA initiative was implemented during one school year, including system-wide training and ongoing implementation supports for 95 clinicians. Linear mixed effect models revealed improvements in clinician attitudes about the SA for clinical utility and treatment planning immediately following the half-day training (N = 95, p < .001). Clinicians self-reported a significant increase in use of SA for new clients during intakes (p < .001) over time and 71.4% of expected SA data were submitted. Qualitative feedback, including recommendations to offer more SA choices and beginning new SA data collection earlier in the school year, was integrated to inform quality improvements and future sustainment efforts.

Factors affecting the implementation of an outcome measurement feedback system in youth mental health settings

Objective: Measurement feedback systems provide clinicians with regular snapshots of a client's mental health status, which can be used in treatment planning and client feedback. There are numerous barriers to clinicians using outcome measures routinely. This study aimed to investigate factors affecting the use of a measurement feedback system across youth mental health settings. Methods: The participants were 210 clinicians from headspace youth mental health services across Australia. They were surveyed on predictors and use of MyLifeTracker, a routine outcome measure. This was explored through three processes: looking at MyLifeTracker before session, using MyLifeTracker in treatment planning, and providing feedback of MyLifeTracker scores to clients. Results: Clinicians were more likely to look at MyLifeTracker before session, less likely to use it in treatment planning, and least likely to provide MyLifeTracker scores to clients. Each measurement feedback system process had a distinct group of predictors. Perceptions of MyLifeTracker's practicality was the only significant predictor of all three processes. Conclusion: Practically, organisations and supervisors can increase the use of measurement feedback systems through targeted supports.

Effects of Fidelity-Focused Consultation on Clinicians' Implementation: An Exploratory Multiple Baseline Design

Identification of effective consultation models could inform implementation efforts. This study examined the effects of a fidelity-focused consultation model among community-based clinicians implementing Attachment and Biobehavioral Catch-up. Fidelity data from 1217 sessions from 7 clinicians were examined in a multiple baseline design. In fidelity-focused consultation, clinicians received feedback from consultants' fidelity coding, and also coded their own fidelity. Clinicians' fidelity increased after fidelity-focused consultation began, but did not increase during other training periods. Fidelity was sustained for 30 months after consultation ended. Findings suggest that consultation procedures involving fidelity coding feedback and self-monitoring of fidelity may promote implementation outcomes.

Evidence Base Update for Brief, Free, and Accessible Youth Mental Health Measures

Evidence-based assessment (EBA) is foundational to high-quality mental health care for youth and is a critical component of evidence-based practice delivery, yet is underused in the community. Administration time and measure cost are barriers to use; thus, identifying and disseminating brief, free, and accessible measures are critical. This Evidence Base Update evaluates the empirical literature for brief, free, and accessible measures with psychometric support to inform research and practice with youth. A systematic review using PubMed and PsycINFO identified measures in the following domains: overall mental health, anxiety, depression, disruptive behavior, traumatic stress, disordered eating, suicidality, bipolar/mania, psychosis, and substance use. To be eligible for inclusion, measures needed to be brief (50 items or less), free, accessible, and have psychometric support for their use with youth. Eligible measures were evaluated using adapted criteria established by De Los Reyes and Langer (2018) and were classified as having excellent, good, or adequate psychometric properties. A total of 672 measures were identified; 95 (14%) met inclusion criteria. Of those, 21 (22%) were "excellent," 34 (36%) were "good," and 40 (42%) were "adequate." Few measures had support for their use to routinely monitor progress in therapy. Few measures with excellent psychometric support were identified for disordered eating, suicidality, psychosis, and substance use. Future research should evaluate existing measures for use with routine progress monitoring and ease of implementation in community settings. Measure development is needed for disordered eating, suicidality, psychosis, and substance use to increase availability of brief, free, accessible, and validated measures.

Collaborative Care to Improve Access and Quality in School-Based Behavioral Health

BACKGROUND

Collaborative care (CC) is a well-established approach for the delivery of accessible behavioral health services in integrated health care settings. Substantial evidence supports its effectiveness in improving the quality and outcomes of adult services, and growing research indicates utility with child and adolescent populations.

METHODS

To date, studies examining CC models for youth have focused exclusively on primary-care settings. Nevertheless, as the most common integrated service delivery setting for youth, the education sector is an equally important context for improving access to behavioral health services for children and adolescents.

RESULTS

We provide a narrative review of the literature on CC, describes the relevance of CC to schools, and details its alignment with contemporary movements in education and school-based behavioral health.

CONCLUSIONS

Potential adaptations of the CC model for use in schools are detailed to improve: (1) behavioral health service accessibility, (2) the capacity of schools to provide behavioral health services, and (3) school service effectiveness through use of evidence-based practices. Although little research has explored the applicability of CC in the education sector, the model holds potential promise to improve the quality and efficiency of school-based behavioral health services.

Multilevel Predictors of Case Managers' Assessment Administration Behavior in a Precursor to a Measurement Feedback System

This study examines factors associated with administration of a treatment monitoring assessment measure (the Ohio Scales) in the context of a precursor to a measurement feedback system in a youth public mental health setting. 82% of all state case managers (N = 46) completed interviews and administered at least one Ohio Scale over a 12-month period. A multi-level model accounting for variance between both case managers and their administrative offices indicated that case manager characteristics (lower self-reported burnout, more experience) and monthly caseload characteristics (fewer active cases, younger average age of youth, and increased time since initial administration) predicted increased monthly administration proportions.

Implementing Measurement-Based Care in Behavioral Health: A Review

IMPORTANCE

Measurement-based care (MBC) is the systematic evaluation of patient symptoms before or during an encounter to inform behavioral health treatment. Despite MBC's demonstrated ability to enhance usual care by expediting improvements and rapidly detecting patients whose health would otherwise deteriorate, it is underused, with typically less than 20% of behavioral health practitioners integrating it into their practice. This narrative review addresses definitional issues, offers a concrete and evaluable operationalization of MBC fidelity, and summarizes the evidence base and utility of MBC. It also synthesizes the extant literature's characterization of barriers to and strategies for supporting MBC implementation, sustainment, and scale-up.

OBSERVATIONS

Barriers to implementing MBC occur at multiple levels: patient (eg, concerns about confidentiality breach), practitioner (eg, beliefs that measures are no better than clinical judgment), organization (eg, no resources for training), and system (eg, competing requirements). Implementation science-the study of methods to integrate evidence-based practices such as MBC into routine care-offers strategies to address barriers. These strategies include using measurement feedback systems, leveraging local champions, forming learning collaboratives, training leadership, improving expert consultation with clinical staff, and generating incentives.

CONCLUSIONS AND RELEVANCE

This narrative review, informed by implementation science, offers a 10-point research agenda to improve the integration of MBC into clinical practice: (1) harmonize terminology and specify MBC's core components; (2) develop criterion standard methods for monitoring fidelity and reporting quality of implementation; (3) develop algorithms for MBC to guide psychotherapy; (4) test putative mechanisms of change, particularly for psychotherapy; (5) develop brief and psychometrically strong measures for use in combination; (6) assess the critical timing of administration needed to optimize patient outcomes; (7) streamline measurement feedback systems to include only key ingredients and enhance electronic health record interoperability; (8) identify discrete strategies to support implementation; (9) make evidence-based policy decisions; and (10) align reimbursement structures.

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)

Exploring Provider Use of a Digital Implementation Support System for School Mental Health: A Pilot Study

This pilot study explored provider use of an online system, Centervention, to support the delivery of empirically supported school-based mental health interventions (ESIs); and associations between components of this system [resources, training, technical assistance (TA), feedback loops], implementation indicators, and student outcomes. Multilevel modeling data were collected from 39 providers implementing ESIs with 758 students. Training, TA, and progress monitoring predicted ESI adherence, and perceived value of resources and TA influenced student responsiveness. Greater adherence was predictive of better socio-emotional outcomes. Interviews with 15 providers illuminated how they used these four Centervention support strategies. Implications for digital implementation support research are discussed.