Measurement-based Care Research Articles

Adolescent Client and Clinician Predictors of Measurement-Based Care Fidelity in Community Mental Health Settings

ABSTRACT Objective Regularly administering outcome measures, measurement-based care (MBC), informs clinical decision-making and improves youth mental health. Understanding predictors of high-fidelity MBC delivery helps ensure all youth can benefit from this evidence-based practice. Research on client and clinician predictors of MBC fidelity has mixed findings. Method Participants included 53 clinicians and 115 adolescents from a randomized controlled effectiveness trial with MBC only and MBC + Unified Protocol for the Transdiagnostic Treatment of Emotional Disorders in Adolescents (UPA) conditions. Clients and clinicians reported demographic information. Clinicians completed broad- and narrow-band attitude measures. MBC fidelity was operationalized using the implementation index, combining rates of administering and viewing questionnaires, using objective MBC data. Results and Discussion The average MBC fidelity was 56.75% (SD = 30.36) and was significantly higher in the MBC only condition (M = 67.46%, SD = 27.63%) than in MBC + UPA condition (M = 46.58%, SD = 29.52%; p = .012). Clients identifying as White received significantly higher MBC fidelity than youth not identifying as White. Youth ethnicity, family income, age, severity, and number of sessions did not significantly predict MBC fidelity. Clinicians with less experience at their agency, less confidence, and who found manualized treatments less appealing, had significantly higher MBC fidelity than other clinicians. These results can inform future efforts to increase fidelity and equity in MBC delivery.

Strategic Treatment and Assessment for Youth (STAY): A Theoretically-Driven, Culturally-Tailored MBC Approach.

Racial and ethnic minoritized (REM) youth are at greater risk for depression and suicide than their White peers. Despite this, REM youth are much more likely than their White peers to prematurely dropout of treatment. Culturally tailored and scalable engagement models to improve mental health treatment retention among REM youth with depressive symptoms and suicidal thoughts and behaviors (STB) are urgently needed. Strategic Treatment Assessment for Youth (STAY) is a theoretically-driven, culturally tailored measurement-based care (MBC) approach to treatment engagement for REM youth with depressive symptoms and suicide risk. Specifically, STAY uses MBC feedback processes to reduce perceptual barriers to treatment, thus improving treatment retention and ultimately, client outcomes among REM youth. In addition to standard MBC components, STAY includes a greater emphasis on providing a client-centered rationale for MBC which includes assessing and discussing treatment expectations, the use of individualized progress measures and alliance measures, and cultural competence training. The goal of this manuscript is to describe the STAY model based on initial theoretical development and preliminary clinician-informed refinements. Further, a case example of STAY is presented with a particular focus on the use of feedback processes. Finally, the current and future directions to empirically examine STAY as a treatment retention strategy with REM populations are provided.

The California collaborative network to promote data driven care and improve outcomes in early psychosis (EPI-CAL) project: rationale, background, design and methodology.

A prolonged first episode of psychosis (FEP) without adequate treatment is a predictor of poor clinical, functional, and health outcomes and significant economic burden. Team-based "coordinated specialty care" (CSC) for early psychosis (EP) has established effectiveness in promoting clinical and functional recovery. However, California's CSC program implementation has been unsystematic and could benefit from standardizing its processes and data collection infrastructure. To address this, we established a consortium of EP clinics across the state via a Learning Health Care Network (LHCN) framework to develop the Early Psychosis Intervention Network of California (EPI-CAL). EPI-CAL's LHCN developed a core battery of evidence-based measures for service users and family members and linked them together using a unique data collection and visualization application, Beehive. EPI-CAL's LHCN collects, visualizes, and aggregates data at the individual and clinic level for EP programs across California via Beehive. Beehive was designed to: (1) collect outcomes data from service users receiving care at EP programs and their support persons, (2) provide the data to providers on a secure web-based dashboard to support measurement-based care, and (3) allow data to be used for program or research analysis. We will (1) determine the feasibility of implementing an LHCN across a diverse, decentralized network of early psychosis programs, (2) determine if the implementation of an LHCN increases the delivery of measurement-based care, and (3) determine if the implementation of measurement-based care is associated with significant improvements in key service user outcomes. EPI-CAL's network will contribute data to the Early Psychosis Intervention Network (EPINET) program. The current study aims to establish an LHCN of EP clinics in California that implements harmonized data collection using Beehive and assesses the feasibility of establishing such a network. Our goal is for this harmonized data collection approach to be used to inform decisions and develop learning opportunities for service users, staff, and administrators, and to improve outcomes for service users and their supporters in CSC care. Further, the data will enable programs and research teams to examine what elements of care lead to program success and improved treatment outcomes for service users. www. gov , identifier NCT04007510; registered 07/05/2019.

Implementation of Measurement-Based Care in Mental Health Service Settings for Youth: A Systematic Review.

Measurement-Based Care (MBC) is the systematic use of patient-reported data to inform care decisions and monitor treatment progress. MBC has been shown to improve patient outcomes across medical and mental health treatment settings for adults and youth. While many studies have examined the use of MBC in specific care settings, few have focused on the implementation of MBC among youth populations or across care settings. While a review has shown that use of MBC benefits youth, no published reviews exist that summarize the successful strategies and barriers to implementation models across studies in youth service settings. To address these gaps, the present systematic review (N = 25 studies) focuses on the implementation of MBC across four youth service settings, including outpatient mental health centers, medical centers/pediatric clinics, schools, and clinical psychology training clinics. Results suggest that few studies employ consistent implementation models or strategies to guide efforts. Further, there is significant overlap in the successful strategies employed as well as the barriers to implementation of MBC across youth service settings, at the client, clinician, and organizational levels. Broadly, the authors recommend on the basis of findings that future implementation work in youth service settings: incorporate comprehensive training in the use of MBC for clinicians; incorporate stakeholder feedback into the implementation process for initial and sustained use; employ digital measurement feedback systems to deliver MBC that allow for real-time feedback and continuous technical support; and employ a health equity lens in implementation efforts to help address disparities in access to and use of MBC so that all youth and families may benefit from this evidence-based practice.

Measurement-Based Care in a Remote Intensive Outpatient Program: Pilot Implementation Initiative.

The ongoing mental health crisis, especially among youth, has led to a greater demand for intensive treatment at the intermediate level, such as intensive outpatient programs (IOPs). Defining best practices in remote IOPs more broadly is critical to understanding the impact of these offerings for individuals with high-acuity mental health service needs in the outpatient setting. Measurement-based care (MBC), or the routine and systematic collection of patient-reported data throughout the course of care to make meaningful changes to treatment, is one such practice that has been shown to improve patient outcomes in mental health treatment. Despite the literature linking MBC to beneficial clinical outcomes, the adoption of MBC in clinical practice has been slow and inconsistent, and more research is needed around MBC in youth-serving settings. The aim of this paper is to help bridge these gaps, illustrating the implementation of MBC within an organization that provides remote-first, youth-oriented IOP for individuals with high-acuity psychiatric needs. A series of 2 quality improvement pilot studies were conducted with select clinicians and their clients at Charlie Health, a remote IOP program that treats high-acuity teenagers and young adults who present with a range of mental health disorders. Both studies were carefully designed, including thorough preparation and planning, clinician training, feedback collection, and data analysis. Using process evaluation data, MBC deployment was repeatedly refined to enhance the clinical workflow and clinician experience. The survey completion rate was 80.08% (3216/4016) and 86.01% (4218/4904) for study 1 and study 2, respectively. Quantitative clinician feedback showed marked improvement from study 1 to study 2. Rates of successful treatment completion were 22% and 29% higher for MBC pilot clients in study 1 and study 2, respectively. Depression, anxiety, and psychological well-being symptom reduction were statistically significantly greater for MBC pilot clients (P<.05). Our findings support the feasibility and clinician acceptability of a rigorous MBC process in a real-world, youth-serving, remote-first, intermediate care setting. High survey completion data across both studies and improved clinician feedback over time suggest strong clinician buy-in. Client outcomes data suggest MBC is positively correlated with increased treatment completion and symptom reduction. This paper provides practical guidance for MBC implementation in IOPs and can extend to other mental health care settings.

Using Technology to Support Measurement-Based Care: Design and Implementation of the Measurement-Assisted Care Program.

The authors aimed to increase measurement-based care in an outpatient academic psychiatry service. The Measurement-Assisted Care program (MAC) was implemented as a clinical quality-improvement effort that included 4,665 unique patients and 176 clinicians over 12 months. The Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder scale (GAD-7), PTSD Checklist for DSM-5, and Brief Inventory of Thriving were automatically included in the patient electronic check-in process for new visits; the PHQ-9 and GAD-7 were included for return visits. Patient responses were automatically routed to clinicians' electronic health record inboxes and documentation templates. MAC was rolled out in two phases, and clinicians were surveyed about their use of MAC data 3-6 months after the start of the program. After implementation of MAC, PHQ-9 completion rates increased from 5% to 66% of visits for phase 1 and from 5% to 60% for phase 2. Post-MAC completion rates were higher for telehealth (70%) than for in-person (40%) visits. More than 90% of clinicians reported that MAC was useful with at least one of their three most recent patients, and 51% reported that it was useful with all three of their three most recent patients. Clinician adoption was high, with 78% reporting that they use MAC data to guide care. MAC increased the completion rate of patient-reported outcome measures, especially for telehealth visits. Clinicians reported that they frequently use and discuss MAC data with patients, implying that technology-supported workflows can help systems with high telehealth utilization capture and use patient-reported outcomes.

Consultation Content and Techniques for measurement-Based Care Implementation in Youth Community Mental Health Settings.

Measurement-based care (MBC) is an evidence-based practice (EBP) focused on regularly administering outcome measures to clients to inform clinical decision making. While MBC shows promise for improving youth treatment outcomes, therapist adoption remains low. Clinical consultation is one strategy that improves MBC implementation, but our limited understanding of consultation hinders the ability to optimize its impact. This research explored the content of, and techniques used during MBC consultation calls. Therapists (N = 55) in a randomized controlled trial treating adolescents with anxiety and/or depression were trained to utilize MBC with usual treatment using the Youth Outcome Questionnaire (YOQ) through an online measurement feedback system (MFS). Weekly ongoing consultation followed an initial workshop training in MBC. Case discussions (N = 294) during consultation calls were coded using a developed codebook, including 12 content and 10 consultant techniques. Results indicated that content focused predominantly on interpretation of client symptom and alliance report, planning for YOQ administration, and discussion of data with clients in session. Common consultant techniques included modeling and eliciting report viewing and interpretation, making clinical suggestions, and didactics about clinical and technical issues. Notably, role-play/behavioral rehearsal was not used. The prevalence of passive consultation techniques (suggestions, didactics) suggests a focus on teaching rather than active techniques (behavioral rehearsal, modeling), potentially influenced by the novelty of MBC and MFS. Technical aspects of MBC, such as measure administration and system usage, emerged as key consultation content, highlighting an unanticipated emphasis on logistics over clinical implementation. These findings underscore the evolving role of consultation in supporting MBC implementation and suggest that addressing technical challenges early in training might enhance adoption.

Data-informed psychological therapy, measurement-based care, and precision mental health.

Measurement-based care, that is, incorporating data-informed decision support for therapists into psychological therapy, has undergone significant advancements over the past 2 decades. Technological innovations such as computerized data assessment and feedback tools have facilitated its widespread adoption across various settings. For instance, clinicians can utilize psychometric data to personalize therapeutic approaches, strategies, or modules and track a patient's response to therapy in real time (e.g., Lutz, Schwartz, & Delgadillo, 2022). Furthermore, new algorithm-based clinical support tools used within measurement-based care can optimize treatment for such patients at risk for treatment failure. Consequently, measurement-based care is evolving into a data-informed and precision psychological therapy concept that can be viewed as a low-intensity transtheoretical adjunct to evidence-based treatments. It can be integrated at multiple care points into clinical practice regardless of the clinical modality, manual, or program used in a given health care system. Therefore, it emerges as an important component of clinical competence, practice, and training, akin to continuous monitoring of physical health indicators (e.g., insulin, fever, or blood pressure). In this viewpoint article, we summarize the core concepts of data-informed psychological therapy that customizes individual psychological interventions to meet specific patient needs. We also explore implications and future steps to integrate this approach into clinical practice and further advance precision mental health care. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Extended lifetime expectancy in schizophrenia, role of measurement based care

Lifespan in schizophrenia spectrum disorders (SSD) is up to 20 years shorter than average. Introduction of new antipsychotic pharmaceuticals has not made any major improvement. Parallel care is provided as usual standard care (USD) in out-patients settings. The study aim was to evaluate if inclusion of Measurement Based Care (MBC) may prolong patients' lifespan. In total, 171 patients were followed with annual semi-structured examinations of psychiatric status, social situation, and somatic illnesses over 20 years, by case managers. Findings indicate that MBC contributed to prolonged lifespan in SSD from 55.6 to 69.4 years from beginning to end of the study.

Changes in Recovery Capital Among Patients Receiving Buprenorphine Treatment for Opioid Use Disorder in a Telehealth Setting.

Medications for the treatment of opioid use disorder (MOUD) such as buprenorphine are the most effective treatment available for OUD; yet, beyond drug testing results and retention in care, systematically measured clinical outcomes have proven elusive. There is growing interest in integrating systematic monitoring of patient-reported outcomes and measurement-based care as strategies to improve patients' success in treatment. We analyzed changes in recovery capital assessed via the Brief Assessment of Recovery Capital (BARC-10) from baseline to 30-120 days post-intake among patients initiating buprenorphine treatment from May to October 2023 at Ophelia, a telehealth MOUD provider, who were retained for ≥90 days. Differences in baseline characteristics were assessed between patients with and without high "remission-predictive" baseline scores (≥47) using chi-squared and t-tests. Changes in scores from baseline to follow-up were assessed using paired t-tests. In all, 791 patients initiated treatment during the study period, 742 (93.8%) of whom had a baseline BARC-10 score, 542 (73.0%) of whom were retained in treatment for ≥90 days, and 477 of whom (88.0%) had a follow-up BARC-10 score and represent the analysis sample. Older patients, those not requiring buprenorphine induction, and those not using heroin or fentanyl at intake were more likely to have remission-predictive baseline BARC-10 scores (P < .05). Patients with remission-predictive baseline scores (n = 257) had a mean increase of 1.4 (SD = 5.9) from 52.7 (SD = 4.1) (P < .001), and 234 (91%) sustained remission-predictive scores throughout the assessment period. Patients without remission-predictive baseline scores (n = 220) had a mean increase of 9.2 (SD = 8.2) from 38.4 (SD = 6.6) (P < .001), and 129 (59.0%) achieved a remission-predictive score at follow-up. Most patients had increased or sustained already high levels of recovery capital, an established predictor of sustained remission. Further research is required to better understand variability across patients and how it may relate to long-term outcomes.

Psychometric Validation of the Brief Outcome Survey: A Transdiagnostic Tool for Measurement-Based Care

ABSTRACT Background Measurement-based care (MBC) is a fundamental component of evidence-based psychotherapy that has the potential to improve the landscape of behavioral and mental health (BMH) care for youth and families. Objective The purpose of this study was to assess the reliability, validity, and clinical utility of the Brief Outcome Survey (BOS) when used as part of a comprehensive MBC approach during a course of evidence-based psychotherapy. Method The BOS is a three-item transdiagnostic tool designed to measure the impact of youth’s symptoms/conditions on functioning. Demographic and clinical data were obtained via a retrospective chart review of 75,000+ unique patient encounters over a period of 15 years. Internal consistency, test re-test reliability, construct validity, validity generalization, and clinical utility were assessed. Results Data were analyzed from 8,665 youth (Mage = 11.8 years; 57.2% biological female). The internal consistency coefficient (e.g. Cronbach’s alpha) ranged from 0.80–0.83 (first and second BOS administration). The single measure intraclass correlation coefficient was 0.66 (p < .001). Intraclass correlations between the BOS and the PHQ-9, GAD-7, and CY-BOCS were moderate. No significant differences were found by age. Cronbach’s alphas for the age groups ranged from 0.79–0.82. BOS scores were higher at baseline for biological females compared to males, t(8235) = 2.29, p < .001. Similarly, BOS scores were higher at baseline for youth receiving public versus private health insurance benefits, t(8032) = 2.29, p < .05. A one-way ANOVA revealed significant differences in BOS scores by diagnosis group and Cronbach’s alpha for the BOS was above 0.80 across all five diagnosis groups analyzed. Conclusions The BOS demonstrated evidence of strong psychometric properties and clinical utility, as a session-by-session transdiagnostic MBC tool.

User-Centered Design and Usability of Voxe as a Pediatric Electronic Patient-Reported Outcome Measure Platform: Mixed Methods Evaluation Study.

Electronic patient-reported outcome measures (ePROMs) are standardized digital instruments integrated into clinical care to collect subjective data regarding patients' health-related quality of life, functional status, and symptoms. In documenting patient-reported progress, ePROMs can guide treatment decisions and encourage measurement-based care practices. Voxe is a pediatric and user-centered ePROM platform for patients with chronic health conditions. We aimed to describe the user-centered design approach involving feedback from end users and usability testing of Voxe's platform features to support implementation in a pediatric health care setting. Purposive sampling was used to recruit patients aged 8-17 years from 2 chronic illness populations in 2 pediatric hospitals in Canada. Patients' health care team members were also purposively recruited. One-on-one iterative testing sessions were conducted digitally by research team members with participants to obtain feedback on the appearance and functionalities of the Voxe platform prototype. Patients and health care providers (HCPs) completed Voxe-related task-based activities. International Organization for Standardization key performance indicators were tracked during HCP task-based activities. HCPs also completed the System Usability Scale. To test platform usability, the think-aloud technique was used by participants during the completion of structured tasks. After completing all task-based activities, patient participants selected 5 words from the Microsoft Desirability Toolkit to describe their overall impression and experience with the Voxe platform. Qualitative data about likes, dislikes, and ease of use were collected through semistructured interviews. Feedback testing sessions were conducted with patients and HCPs until Voxe was acceptable to participating end users, with no further refinements identified. Quantitative and qualitative data analysis were completed using descriptive statistics and content analysis. A total of 49 patients and 38 HCPs were recruited. Patients were positive about Voxe's child-centered design characteristics and notification settings. HCPs rated Voxe as user-friendly and efficient, with the time to complete tasks decreasing over time. HCPs were satisfied with the Voxe platform functionalities and identified the value of Voxe's system notifications, summarized display of ePROM results, and its capacity to integrate with electronic medical records. Patients' and HCPs' high satisfaction rates with the Voxe prototype highlight the importance of being responsive to user suggestions from the inception of eHealth platform developments to ensure their efficient and effective design. This paper describes the user-centered creation and usability testing of Voxe as an ePROM platform for implementation into clinical care for pediatric patients with chronic health conditions. As a patient-facing platform that can be integrated into electronic medical records, Voxe aligns with measurement-based care practices to foster quality patient-centered approaches to care. End users' positive feedback and evaluation of the platform's user-friendliness and efficiency suggest that Voxe represents a valuable and promising solution to systematically integrate patient-related outcome (PRO) data into complex and dynamic clinical health care settings. RR2-10.1136/bmjopen-2021-053119.

Implementing and Analyzing the Advantages of Voice AI as Measurement-Based Care (MBC) to Address Behavioral Health Treatment Disparities among Youth in Economically Disadvantaged Communities

Only 20% of behavioral health providers use measurement-based care [MBC].1 Two reasons for MBC’s low uptake outcomes are a need for stronger consensus regarding optimal use (in both frequency and consistency) and the absence of a widely utilized data analytics infrastructure. TQIntelligence has built and implemented a measurement-based system for community behavioral health providers, which includes the use of a novel AI-enabled voice algorithm designed to provide psychiatric decision and triaging support to pediatric populations. The success of the implementation and related outcomes varied depending on the organization and the therapist's involvement in the pilot.2 This paper will contribute to the literature on measurement care and its effectiveness. It also challenges the dominant narrative that such systems are too complicated and ineffective in community behavioral health that serve children and adolescents from low-income communities.

Advancing Measurement-Informed Care in Outpatient Community Behavioral Health.

Measurement-informed care (MIC), also known as measurement-based care or patient-reported outcomes, for behavioral health conditions has had low uptake in the United States. To advance MIC in the near term, the authors reviewed nationally endorsed behavioral health measures and worked with national experts to recommend a core set of outpatient measures to prioritize for use. The resulting set of measures is for common behavioral and comorbid conditions and is outcomes based, low burden, and suitable for value-based payment. The panel of national experts also recommended developing a consensus on quality-of-life measures and functional measures for use across diagnostic categories of the core set.

Mental health provider perspectives on a mobile health application to support remote measurement-based care: Challenges and impacts.

Measurement-based care (MBC) comprises collecting patient-reported outcomes data using validated assessments and using that information to support treatment. The Veterans Health Administration (VHA) has developed technology platforms to support MBC, including the Mental Health Checkup (MHC) mobile health application (app). Our objective was to examine VHA mental health provider perspectives on the MHC app. We completed a mixed-methods, sequential explanatory evaluation of MHC. We surveyed 284 VHA mental health providers who used MHC, then conducted semistructured telephone interviews with a purposefully selected subset of survey respondents (n = 20). Approximately half of survey respondents agreed that MHC allowed them to collect assessment data from veterans more frequently than before (51%) and that they more frequently discussed assessment results with veterans because of MHC (50%) and used those results to inform goal-setting discussions (50%) and treatment decision making (51%). Bivariate analyses indicated a positive relationship between frequency of MHC use and the aforementioned impacts on care. Interview data conveyed both advantages (e.g., increased treatment efficiency, improved treatment decision making) and challenges (e.g., limited assessment availability, difficulties engaging veterans in completing assessments through the app) to using MHC. This evaluation demonstrated how MHC supported providers working to implement MBC. The app enhanced their ability to reach and engage veterans and incorporate assessment data into clinical encounters. Still, many did not perceive that MHC was impactful on mental health care delivery; given that providers who used MHC more frequently reported more positive impressions of MHC, this may be related to how frequently they used the app. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Mood instability metrics to stratify individuals and measure outcomes in bipolar disorder.

Clinical care for bipolar disorder (BD) has a narrow focus on prevention and remission of episodes with pre/post treatment reductions in symptom severity as the 'gold standard' for outcomes in clinical trials and measurement-based care strategies. The study aim was to provide a innovative method for measuring outcomes in BD that has clinical utility and can stratify individuals with BD based on mood instability. Participants were 603 with a BD (n=385), other or non-affective disorder (n=71), or no psychiatric history (n=147) enrolled in an longitudinal cohort for at least 10 years that collects patient reported outcomes measures (PROMs) assessing depression, (hypo)mania, anxiety, and functioning every two months. Mood instability was calculated as the intraindividual standard deviation (s.d.) of PROMs over one-year rolling windows and stratified into low, moderate, and high thresholds, respectively. Individuals with BD had significantly higher one-year rolling SDs for depression, (hypo)mania, and anxiety compared to psychiatric comparisons (small - moderate effects) and healthy controls (large effects). A significantly greater proportion of scores for those with BD fell into the moderate (depression: 50.6%; anxiety: 36.5%; (hypo)mania: 52.1%) and high thresholds (depression: 9.4%; anxiety: 6·1%; (hypo)mania: 10·1%) compared to psychiatric comparisons (moderate: 32.3 - 42·9%; high: 2.6% - 6·6%) and healthy controls (moderate: 11.5% - 31.7%; high: 0.4% - 5.8%). Being in the high or moderate threshold predicted worse mental health functioning (small to large effects). Mood instability, as measured in commonly used PROMs, characterized the course of illness over time, correlated with functional outcomes, and significantly differentiated those with BD from healthy controls and psychiatric comparisons. Results suggest a paradigm shift in monitoring outcomes in BD, by measuring intraindividual SDs as a primary outcome index.

Building resilience: A specialty clinic tailored to older adults at risk for violence and abuse.

Both structural (e.g., ageism) and personal (e.g., stigma) barriers hinder older adults' access to and engagement with mental health care. These barriers are particularly problematic for those vulnerable to interpersonal violence and abuse (e.g., due to social isolation). This study presents a quality improvement program aimed at older adults who have experienced significant stressful events, particularly elder mistreatment, within a larger trauma specialty clinic. Leveraging home-based telemedicine, the clinic provides evidence-based psychotherapy tailored to the needs of older adults. From 2021 through 2023, the authors retrospectively examined treatment initiation, engagement, completion, and clinical outcomes among 231 older adults age 60+ who reported trauma that met DSM-5 criterion A criteria for post-traumatic stress disorder, depression, or other mental health comorbid conditions related to their traumatic event. The clinic uses an automated measurement-based care approach that facilitates Quality Improvement projects, allowing the tracking of treatment initiation, engagement, completion, and clinical outcomes for all patients. The results indicated high treatment completion, high engagement with telemedicine-delivered interventions, and, most importantly, significant changes in clinical outcomes. These findings highlight the importance of expanding telemedicine-based mental health services for older adults, challenging ageist norms, and prioritizing older adults' mental health needs by providing tailored services to this patient population.

Does it matter how meditation feels? An experience sampling study.

Meditation apps are the most widely used mental health apps. The precise mechanisms underlying their effects remain unclear. In particular, the degree to which affect experienced during meditation is associated with outcomes has not been established. We used the meditation app arm of a recently completed randomized controlled trial comparing a self-guided meditation app (Healthy Minds Program) to a waitlist control. Predominantly distressed public school employees (n = 243, 80.9% with clinically elevated depression and/or anxiety) reported positive and negative affect during meditation practice. Data were analyzed using two-level multivariate latent growth curve models (observations nested within participants) that simultaneously attended to both positive and negative affect. We examined whether positive and negative affect during meditation changed over time and whether these changes were associated with changes in psychological distress (parent trial's preregistered primary outcome) at posttest or 3-month follow-up. On average, participants reported decreased negative affect but no change in positive affect during meditation over time. Increased positive affect and decreased negative affect during meditation were associated with improvements in distress at posttest and follow-up. Change in positive affect was a stronger predictor of distress at follow-up than change in negative affect. Despite notions embedded within mainstream mindfulness meditation training that deemphasize the importance of the affective experience of practice (i.e., nonjudgmental awareness of present moment experience, regardless of valence), results indicate that these experiences contain signals associated with outcomes. Monitoring affect during meditation may be worthwhile to guide intervention delivery (i.e., measurement-based care, precision medicine). (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Experience Starting an Addiction Medicine Practice-based Research Network.

This paper outlines the experience developing Addiction Medicine Practice-Based Research Network (AMNet), which promotes the adoption of patient-reported outcome measures (PROMs) and measurement-based care in outpatient addiction treatment practices and creates a platform for quality improvement and research. From August 2019 to July 2023, the AMNet team selected patient-reported outcome measures for implementation in the American Psychiatric Association's clinical data registry (PsychPRO), recruited addiction medicine providers, and collected PROMs data. AMNet selected 12 PROMs for implementation in PsychPRO. Through July 2023, 1565 providers expressed interest, of whom 216 of the 929 eligible providers (23%) attended an onboarding call/webinar. Two hundred six providers (95%) from 54 practices returned Participation Agreements. Subsequently, 65 providers (32%) from 39 practices withdrew, resulting in 141 (68%) providers from 15 practices. From November 2020 to July 2023, 38 providers submitted PROMs data using 1 of 3 PsychPRO patient portals. Sixteen of the 53 providers (30%) who signed up for the initial portal collected data from 468 patients. As of July 2023, 83 of the 141 providers (59%) opted to submit PROMs data from their own portal or electronic health record. Next steps will include continued recruitment of providers, addressing barriers to data transfer and integrating data from providers' portals into the registry to create a platform for future research.

Primary care team perspectives on approaches to engaging patients in treatment for opioid use disorder

IntroductionEngagement is a critical component of successful treatment for opioid use disorder (OUD). However, rates of patient engagement in OUD treatment, especially in outpatient settings, are variable and often low. Little is known about the specific strategies members of primary care teams use to initiate and encourage ongoing participation in OUD treatment. In a national cohort of primary care clinics in the U.S., we explored the perspectives of primary care team members on the meaning of and approaches to OUD treatment engagement. MethodsWe conducted semi-structured interviews with 35 providers from multidisciplinary primary care teams in an existing national cohort of 13 clinics across seven states. Teams were delivering OUD treatment via the Collaborative Care Model, a model that combines primary care providers (PCP), behavioral health care managers (BHCM) and consulting psychiatric providers (CPP) in a structured way to provide patient-centered, team-based, and measurement-based care. Interview participants included 14 PCPs, 13 BHCMs, and 8 CPPs. Interviews asked open-ended questions about provider experiences and practices that aided or hindered patient engagement in OUD treatment. Interview transcripts were double-coded by trained qualitative researchers and analyzed using a combination of deductive and inductive approaches to identify themes. ResultsTwo themes emerged that describe provider perspectives on the meaning of engagement: 1) qualifying engagement by the volume of contact with patients, and 2) the need for more multidimensional measures of engagement. Six themes emerged that characterized provider engagement practices: 1) creating an environment of disclosure, 2) normalizing OUD treatment, 3) offering gentle but persistent outreach, 4) providing human connection and encouragement, 5) tailoring treatment to patient needs, and 6) avoiding stigmatizing responses. Analysis identified multiple replicable strategies that providers used to support these engagement practices. ConclusionsProviders consistently apply a range of strategies when trying to engage patients in OUD treatment. Specific engagement strategies used embodied compassion and pragmatism, hallmarks of patient-centered care. Further research is needed to understand the impact of scaling engagement approaches across all care settings.