Rapid evolution of diet choice in an introduced population of Trinidadian guppies.

Eco-evolutionary theory has brought an interest in the rapid evolution of functional traits. Among them, diet is an important determinant of ecosystem structure, affecting food web dynamics and nutrient cycling. However, it is largely unknown whether diet, or diet preference, has a hereditary basis and can evolve on contemporary timescales. Here, we study the diet preferences of Trinidadian guppies Poecilia reticulata collected from directly below an introduction site of fish transplanted from a high-predation environment into a low predation site where their densities and competition increased. Behavioural assays on F2 common garden descendants of the ancestral and derived populations showed that diet preference has rapidly evolved in the introduced population in only 12 years (approx. 36 generations). Specifically, we show that the preference for high-quality food generally found in high-predation guppies is lost in the newly derived low-predation population, who show an inertia toward the first encountered food. This result is predicted by theory stating that organisms should evolve less selective diets under higher competition. Demonstrating that diet preference can show rapid and adaptive evolution is important to our understanding of eco-evolutionary feedbacks and the role of evolution in ecosystem dynamics.

Which Components of a Smartphone Walking App Help Users to Reach Personalized Step Goals? Results From an Optimization Trial.

BACKGROUND: The Assistant to Lift your Level of activitY (Ally) app is a smartphone application that combines financial incentives with chatbot-guided interventions to encourage users to reach personalized daily step goals. PURPOSE: To evaluate the effects of incentives, weekly planning, and daily self-monitoring prompts that were used as intervention components as part of the Ally app. METHODS: We conducted an 8 week optimization trial with n = 274 insurees of a health insurance company in Switzerland. At baseline, participants were randomized to different incentive conditions (cash incentives vs. charity incentives vs. no incentives). Over the course of the study, participants were randomized weekly to different planning conditions (action planning vs. coping planning vs. no planning) and daily to receiving or not receiving a self-monitoring prompt. Primary outcome was the achievement of personalized daily step goals. RESULTS: Study participants were more active and healthier than the general Swiss population. Daily cash incentives increased step-goal achievement by 8.1%, 95% confidence interval (CI): [2.1, 14.1] and, only in the no-incentive control group, action planning increased step-goal achievement by 5.8%, 95% CI: [1.2, 10.4]. Charity incentives, self-monitoring prompts, and coping planning did not affect physical activity. Engagement with planning interventions and self-monitoring prompts was low and 30% of participants stopped using the app over the course of the study. CONCLUSIONS: Daily cash incentives increased physical activity in the short term. Planning interventions and self-monitoring prompts require revision before they can be included in future versions of the app. Selection effects and engagement can be important challenges for physical-activity apps. CLINICAL TRIAL INFORMATION: This study was registered on ClinicalTrials.gov, NCT03384550.

Change in Patient Outcomes After Augmenting a Low-level Implementation Strategy in Community Practices That Are Slow to Adopt a Collaborative Chronic Care Model: A Cluster Randomized Implementation Trial.

BACKGROUND: Implementation strategies are essential for promoting the uptake of evidence-based practices and for patients to receive optimal care. Yet strategies differ substantially in their intensity and feasibility. Lower-intensity strategies (eg, training and technical support) are commonly used but may be insufficient for all clinics. Limited research has examined the comparative effectiveness of augmentations to low-level implementation strategies for nonresponding clinics. OBJECTIVES: To compare 2 augmentation strategies for improving uptake of an evidence-based collaborative chronic care model (CCM) on 18-month outcomes for patients with depression at community-based clinics nonresponsive to lower-level implementation support. RESEARCH DESIGN: Providers initially received support using a low-level implementation strategy, Replicating Effective Programs (REP). After 6 months, nonresponsive clinics were randomized to add either external facilitation (REP+EF) or external and internal facilitation (REP+EF/IF). MEASURES: The primary outcome was patient 12-item short form survey (SF-12) mental health score at month 18. Secondary outcomes were patient health questionnaire (PHQ-9) depression score at month 18 and receipt of the CCM during months 6 through 18. RESULTS: Twenty-seven clinics were nonresponsive after 6 months of REP. Thirteen clinics (N=77 patients) were randomized to REP+EF and 14 (N=92) to REP+EF/IF. At 18 months, patients in the REP+EF/IF arm had worse SF-12 [diff, 8.38; 95% confidence interval (CI), 3.59-13.18] and PHQ-9 scores (diff, 1.82; 95% CI, -0.14 to 3.79), and lower odds of CCM receipt (odds ratio, 0.67; 95% CI, 0.30-1.49) than REP+EF patients. CONCLUSIONS: Patients at sites receiving the more intensive REP+EF/IF saw less improvement in mood symptoms at 18 months than those receiving REP+EF and were no more likely to receive the CCM. For community-based clinics, EF augmentation may be more feasible than EF/IF for implementing CCMs.

Efficacy of Contextually Tailored Suggestions for Physical Activity: A Micro-randomized Optimization Trial of HeartSteps.

BACKGROUND: HeartSteps is an mHealth intervention that encourages regular walking via activity suggestions tailored to the individuals' current context. PURPOSE: We conducted a micro-randomized trial (MRT) to evaluate the efficacy of HeartSteps' activity suggestions to optimize the intervention. METHODS: We conducted a 6-week MRT with 44 adults. Contextually tailored suggestions could be delivered up to five times per day at user-selected times. At each of these five times, for each participant on each day of the study, HeartSteps randomized whether to provide an activity suggestion, and, if so, whether to provide a walking or an antisedentary suggestion. We used a centered and weighted least squares method to analyze the effect of suggestions on the 30-min step count following suggestion randomization. RESULTS: Averaging over study days and types of activity suggestions, delivering a suggestion versus no suggestion increased the 30-min step count by 14% (p = .06), 35 additional steps over the 253-step average. The effect was not evenly distributed in time. Providing any type of suggestion versus no suggestion initially increased the step count by 66% (167 steps; p < .01), but this effect diminished over time. Averaging over study days, delivering a walking suggestion versus no suggestion increased the average step count by 24% (59 steps; p = .02). This increase was greater at the start of study (107% or 271 additional steps; p < .01), but decreased over time. Antisedentary suggestions had no detectable effect on the 30-min step count. CONCLUSION: Contextually tailored walking suggestions are a promising way of initiating bouts of walking throughout the day. CLINICAL TRIAL INFORMATION: This study was registered on ClinicalTrials.gov number NCT03225521.

Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support.

Background: The just-in-time adaptive intervention (JITAI) is an intervention design aiming to provide the right type/amount of support, at the right time, by adapting to an individual's changing internal and contextual state. The availability of increasingly powerful mobile and sensing technologies underpins the use of JITAIs to support health behavior, as in such a setting an individual's state can change rapidly, unexpectedly, and in his/her natural environment. Purpose: Despite the increasing use and appeal of JITAIs, a major gap exists between the growing technological capabilities for delivering JITAIs and research on the development and evaluation of these interventions. Many JITAIs have been developed with minimal use of empirical evidence, theory, or accepted treatment guidelines. Here, we take an essential first step towards bridging this gap. Methods: Building on health behavior theories and the extant literature on JITAIs, we clarify the scientific motivation for JITAIs, define their fundamental components, and highlight design principles related to these components. Examples of JITAIs from various domains of health behavior research are used for illustration. Conclusions: As we enter a new era of technological capacity for delivering JITAIs, it is critical that researchers develop sophisticated and nuanced health behavior theories capable of guiding the construction of such interventions. Particular attention has to be given to better understanding the implications of providing timely and ecologically sound support for intervention adherence and retention.

Dissecting Leapfrog: How Well Do Leapfrog Safe Practices Scores Correlate With Hospital Compare Ratings and Penalties, and How Much Do They Matter?

BACKGROUND: Voluntary Leapfrog Safe Practices Score (SPS) measures were among the first public reports of hospital performance. Recently, Medicare's Hospital Compare website has reported compulsory measures. Leapfrog's Hospital Safety Score (HSS) grades incorporate SPS and Medicare measures. We evaluate associations between Leapfrog SPS and Medicare measures, and the impact of SPS on HSS grades. METHODS: Using 2013 hospital data, we linked Leapfrog HSS data with central line-associated bloodstream infection (CLABSI) and catheter-associated urinary tract infection (CAUTI) standardized infection ratios (SIRs), and Hospital Readmission and Hospital-Acquired Condition (HAC) Reduction Program penalties incorporating 2013 performance. For SPS-providing hospitals, we used linear and logistic regression models to predict CLABSI/CAUTI SIRs and penalties as a function of SPS. For hospitals not reporting SPS, we simulated change in HSS grades after imputing a range of SPS. RESULTS: In total, 1089 hospitals reported SPS; >50% self-reported perfect scores for all but 1 measure. No SPS measures were associated with SIRs. One SPS (feedback) was associated with lower odds of HAC penalization (odds ratio, 0.86; 95% confidence interval, 0.76-0.97). Among hospitals not reporting SPS (N=1080), 98% and 54% saw grades decline by 1+ letters with first and 10th percentile SPS imputed, respectively; 49% and 54% saw grades improve by 1+ letter with median and highest SPS imputed. CONCLUSIONS: Voluntary Leapfrog SPS measures skew toward positive self-report and bear little association with compulsory Medicare outcomes and penalties. SPS significantly impacts HSS grades, particularly when lower SPS is reported. With increasing compulsory reporting, Leapfrog SPS seems limited for comparing hospital performance.

The Impact of Disability and Social Determinants of Health on Condition-Specific Readmissions beyond Medicare Risk Adjustments: A Cohort Study.

BACKGROUND: Readmission rates after pneumonia, heart failure, and acute myocardial infarction hospitalizations are risk-adjusted for age, gender, and medical comorbidities and used to penalize hospitals. OBJECTIVE: To assess the impact of disability and social determinants of health on condition-specific readmissions beyond current risk adjustment. DESIGN, SETTING, AND PARTICIPANTS: Retrospective cohort study of Medicare patients using 1) linked Health and Retirement Study-Medicare claims data (HRS-CMS) and 2) Healthcare Cost and Utilization Project State Inpatient Databases (Florida, Washington) linked with ZIP Code-level measures from the Census American Community Survey (ACS-HCUP). Multilevel logistic regression models assessed the impact of disability and selected social determinants of health on readmission beyond current risk adjustment. MAIN MEASURES: Outcomes measured were readmissions ≤30 days after hospitalizations for pneumonia, heart failure, or acute myocardial infarction. HRS-CMS models included disability measures (activities of daily living [ADL] limitations, cognitive impairment, nursing home residence, home healthcare use) and social determinants of health (spouse, children, wealth, Medicaid, race). ACS-HCUP model measures were ZIP Code-percentage of residents ≥65 years of age with ADL difficulty, spouse, income, Medicaid, and patient-level and hospital-level race. KEY RESULTS: For pneumonia, ≥3 ADL difficulties (OR 1.61, CI 1.079-2.391) and prior home healthcare needs (OR 1.68, CI 1.204-2.355) increased readmission in HRS-CMS models (N = 1631); ADL difficulties (OR 1.20, CI 1.063-1.352) and 'other' race (OR 1.14, CI 1.001-1.301) increased readmission in ACS-HCUP models (N = 27,297). For heart failure, children (OR 0.66, CI 0.437-0.984) and wealth (OR 0.53, CI 0.349-0.787) lowered readmission in HRS-CMS models (N = 2068), while black (OR 1.17, CI 1.056-1.292) and 'other' race (OR 1.14, CI 1.036-1.260) increased readmission in ACS-HCUP models (N = 37,612). For acute myocardial infarction, nursing home status (OR 4.04, CI 1.212-13.440) increased readmission in HRS-CMS models (N = 833); 'other' patient-level race (OR 1.18, CI 1.012-1.385) and hospital-level race (OR 1.06, CI 1.001-1.125) increased readmission in ACS-HCUP models (N = 17,496). CONCLUSIONS: Disability and social determinants of health influence readmission risk when added to the current Medicare risk adjustment models, but the effect varies by condition.

Patterns and Predictors of Peripherally Inserted Central Catheter Occlusion: The 3P-O Study.

PURPOSE: To evaluate patterns and predictors of peripherally inserted central catheter (PICC)-related occlusion. MATERIALS AND METHODS: Data from a multihospital study were used to examine factors associated with PICC occlusion. Occlusion was defined if documented in the medical record or when tissue plasminogen activator was administered for occlusion-related concerns. Mixed-effects logistic regression was used to predict occlusion, controlling for patient-, provider-, device-, and hospital-level characteristics. RESULTS: A total of 14,278 PICCs placed in 13,408 patients were included. Of these, occlusion developed in 1,716 PICCs (12%) in 1,684 patients. The most common indications for PICC insertion were intravenous antibiotic therapy (32.7%), difficult intravenous access (21.5%), and central access (13.7%). PICCs placed in the right arm had decreased odds of occlusion compared with those in the left arm (odds ratio [OR] = 0.82; 95% confidence interval [CI] = 0.72-0.94). Verification of catheter tip position following insertion was associated with reduction in occlusion (OR = 0.75; 95% CI = 0.61-0.92). Although normal saline solution or heparin flushes did not reduce occlusion, PICCs flushed with normal saline solution and "locked" with heparin were less likely to become occluded (OR = 0.54; 95% CI = 0.33-0.88). Compared with single-lumen devices, double- and triple-lumen PICCs were associated with greater incidences of occlusion (double, OR = 3.07; 95% CI = 2.56-3.67; triple, OR = 3.72; 95% CI = 2.92-4.74). Catheter tip malposition was also associated with occlusion (OR = 1.46; 95% CI = 1.14-1.87). CONCLUSIONS: Several patient, provider, and device characteristics appear associated with PICC occlusion. Interventions targeting these factors may prove valuable in reducing this complication.

Implementing Effective Policy in a National Mental Health Reengagement Program for Veterans.

Policy is a powerful motivator of clinical change, but implementation success can depend on organizational characteristics. This article used validated measures of organizational resources, culture, and climate to predict uptake of a nationwide Veteran's Health Administration (VA) policy aimed at implementing Re-Engage, a brief care management program that reestablishes contact with veterans with serious mental illness lost to care. Patient care databases were used to identify 2738 veterans lost to care. Local recovery coordinators (LRCs) were to update disposition for 2738 veterans at 158 VA facilities and, as appropriate, facilitate a return to care. Multivariable regression was used to assess organizational culture and climate as predictors of early policy compliance (via LRC presence) and uptake at 6 months. Higher composite climate and culture scores were associated with higher odds of having a designated LRC but were not predictive of higher uptake. Sites with LRCs had significantly higher rates of updated documentation than sites without LRCs.

Real-World Depression Screening Practices Among Primary Care Providers Across Patient-Level and Provider-Level Characteristics.

This study examined primary care provider (PCP) alignment with guideline-based care for adolescent depression screening and identified factors associated with post-screening responses. A retrospective chart review was conducted across 17 primary care clinics. Logistical regressions were estimated across provider specialties, sociodemographic factors, and patient clinical histories. Significant differences in follow-up and identification of depression were found among patients with more severe depression presentation. Follow-up screening was also more likely to be completed among patients with private insurance and less likely to occur among Black patients. Patients with significant mental health history of a mood concern, history of being prescribed psychotropic medication, were currently on medications at the time of the screening, or had a history of an internal mental health referral had a higher predicted probability of being identified as depressed on the patient problem list.

Student mental health outcomes of a clustered SMART for developing an adaptive implementation strategy to support school-based CBT delivery.

PURPOSE: Most youth experiencing anxiety/depression lack access to evidence-based mental health practices (EBPs). School-delivered care improves access, and various support can help school professionals (SPs; school social workers, counselors) deliver EBPs, like Cognitive Behavioral Therapy (CBT). Understanding implementation strategies' impact on downstream mental health outcomes is crucial to scaling up EBPs to address the treatment gap, but it has rarely been assessed. METHODS: This paper compares implementation strategies' impact on change in student outcomes, collected as exploratory outcomes from a type III hybrid implementation-effectiveness trial. A clustered, sequential, multiple-assignment randomized trial design was used, which embedded four implementation supports that differentially sequence three implementation strategies, Replicating Effective Programs (REP), Coaching, and Facilitation. Prior to the first randomization, N = 169 SPs from 94 Michigan high schools each identified up to 10 students whom they believed could benefit from CBT and facilitated student survey completion. Changes in students' depression (Patient Health Questionnaire-9, modified for teens) and anxiety symptoms (Generalized Anxiety Disorder-7) over 10 months were compared across the four sequences of implementation support using a generalization of a marginal, weighted least squares approach developed for a clustered SMARTs. RESULTS: Small, non-clinically significant reductions in symptoms over the study period were found. Pairwise comparisons found no significant differences in symptom change across the four implementation strategies. The difference in the estimated mean PHQ-9T/GAD-7 scores between the least and the most intensive strategies (REP vs. REP+Coaching+Facilitation) was 1.04 (95%CI = -0.95, 3.04) for depression and 0.82 (95%CI = -0.89, 2.52) for anxiety. DISCUSSION: No difference in symptom change was found across the four implementation strategies. Multiple forms of implementation support may be useful for improving student mental health outcomes. TRIAL REGISTRATION: NCT03541317-Registered on 29 May 2018 on ClinicalTrials.gov PRS.

Implementing pharmacist-prescriber collaboration to improve evidence-based anticoagulant use: a randomized trial.

BACKGROUND: Direct oral anticoagulant medications are commonly used to treat or prevent thrombotic conditions, such as pulmonary embolism, deep vein thrombosis, and atrial fibrillation. However, up to 10-15% of patients receiving these medications get unsafe doses based on a patient's kidney or liver function, potential interactions with other medications, and indication for taking the medication. Alert systems may be beneficial for improving evidence-based prescribing, but can be burdensome and are not currently able to provide monitoring after the initial prescription is written. METHODS/DESIGN: This study will improve upon existing alert systems by testing novel medication alerts that encourage collaboration between prescribers (e.g., physicians, nurse practitioners, physician assistants) and expert pharmacists working in anticoagulation clinics. The study will also improve upon the existing alert system by incorporating dynamic long-term monitoring of patient needs and encouraging collaboration between prescribers and expert pharmacists working in anticoagulation clinics. Incorporating state-of-the-art user-centered design principles, prescribing healthcare providers will be randomized to different types of electronic health record medication alerts when a patient has an unsafe anticoagulant prescription. We will identify which alerts are most effective at encouraging evidence-based prescribing and will test moderators to tailor alert delivery to when it is most beneficial. The aims of the project are to (1) determine the effect of notifications targeting existing inappropriate DOAC prescriptions; (2) examine the effect of alerts on newly prescribed inappropriate DOACs; and (3) examine changes in the magnitude of effects over time for both the new prescription alerts and existing prescription notifications for inappropriate DOACs over the 18-month study period. DISCUSSION: Findings from this project will establish a framework for implementing prescriber-pharmacist collaboration for high-risk medications, including anticoagulants. If effectively implemented at the more than 3000 anticoagulation clinics that exist nationally, hundreds of thousands of patients taking direct oral anticoagulants stand to benefit from safer, evidence-based healthcare. TRIALS REGISTRATION: NCT05351749.

Individual and organizational factors as predictors of early evidence-based practice adoption in Michigan high schools: Baseline data from an implementation trial.

Background: Adolescents increasingly access mental health services in schools. School mental health professionals (SPs; school counselors, social workers, etc.) can offer evidence-based mental health practices (EBPs) in schools, which may address access gaps and improve clinical outcomes. Although some studies have assessed factors associated with EBP adoption in schools, additional research focusing on SP- and school-level factors is warranted to support EBP implementation as SPs' mental health delivery grows. Methods: Baseline data were collected from SPs at Michigan high schools participating in a statewide trial to implement SP-delivered cognitive behavioral therapy (CBT) to students. Models examined factors associated with attitudes about EBPs, implementation climate, and implementation leadership, and their associations with CBT knowledge, training attendance, and pre-training CBT delivery. Results: One hundred ninety-eight SPs at 107 schools (87%) completed a baseline survey. The mean Evidence-Based Practice Attitude Scale (EBPAS) total score was 2.9, and school-aggregated mean scores of the Implementation Climate Scale (ICS) and Implementation Leadership Scale (ILS) were 1.83 and 1.77, respectively, all on a scale ranging from 0 (low) to 4 (high). ICS and ILS scores were lower than typically reported in clinical settings, while EBPAS scores were higher. School characteristics were not significantly associated with EBPAS, ICS, or ILS scores, but scores did differ by SP role. Higher EBPAS scores were associated with more CBT knowledge (average marginal effect for 1 SD change [AME] = 0.15 points) and a higher probability of training completion (AME = 8 percentage points). Higher ICS scores were associated with a higher probability of pre-training CBT delivery (AME = 6 percentage points), and higher ILS scores were associated with higher probability of training completion (AME = 10 percentage points). Conclusions: Our findings suggest that SPs' attitudes toward EBPs and organizational support were positively associated with early signs of implementation success. As schools increasingly fill the adolescent mental healthcare access gap, efforts to strengthen both provider attitudes toward EBP and strategic organizational factors supporting EBP delivery will be key to encouraging EBP uptake in schools. Plain Language Summary: Schools are an important setting in which adolescents receive mental healthcare. We need to better understand how to implement evidence-based practices (EBPs) in this setting to improve student mental health. This study examined the attitudes and perceptions of school professionals (SPs) as key contributors to the implementation of a particular EBP, the delivery of cognitive behavioral therapy (CBT) in schools. The study found that implementation climate and leadership scores in participating schools were lower than scores typically reported in clinical settings, while scores for SP attitudes about EBP adoption were higher than typical scores in clinical settings. Results further suggest that SPs with more positive attitudes toward EBPs are more knowledgeable of CBT and more likely to complete a 1-day CBT training. We also found that higher implementation climate scores were associated with SPs reporting pre-training CBT delivery (although this association was not statistically significant), and more implementation leadership was associated with SPs completing the CBT training. These findings suggest that SP attitudes toward EBPs and organizational support in schools are positively associated with early signs of implementation success. Early, low-intensity efforts to (1) improve SP attitudes about mental health EBPs, and (2) increase schools' support for implementation may scaffold more intensive implementation efforts in schools down the road.

Antiseizure Medication Withdrawal Practice Patterns: A Survey Among Members of the American Academy of Neurology and EpiCARE.

Background and Objectives: To describe neurologist practice patterns, challenges, and decision support needs pertaining to withdrawal of antiseizure medications (ASMs) in patients with well-controlled epilepsy. Methods: We sent an electronic survey to (1) US and (2) European physician members of the American Academy of Neurology and (3) members of EpiCARE, a European Reference Network for rare and complex epilepsies. Analyses included frequencies and percentages, and we showed distributions through histograms and violin plots. Results: We sent the survey to 4,923 individuals; 463 consented, 411 passed eligibility questions, and 287 responded to at least 1 of these questions. Most respondents indicated that they might ever consider ASM withdrawal, with respondents treating mostly children being more likely ever to consider withdrawal (e.g., medical monotherapy: children 96% vs adults 81%; p < 0.05). The most important factors when making decisions included seizure probability (83%), consequences of seizures (73%), and driving (74%). The top challenges when making decisions included unclear seizure probability (81%), inadequate guidelines (50%), and difficulty communicating probabilities (45%). Respondents would consider withdrawal after a median of 2-year seizure freedom, but also responded that they would begin withdrawal on average only when the postwithdrawal seizure relapse risk in the coming 2 years was less than 15%-30%. Wide variation existed in the use of words or numbers in respondents' counsel methods, for example, percentages vs frequencies or probability of seizure freedom vs seizure. The most highly rated point-of-care methods to inform providers of calculated risk were Kaplan-Meier curves and showing percentages only, rather than pictographs or text recommendations alone. Discussion: Most surveyed neurologists would consider withdrawing ASMs in seizure-free individuals. Seizure probability was the largest factor driving decisions, yet estimating seizure probabilities was the greatest challenge. Respondents on average indicated that they may withdraw ASM after a minimum seizure-free duration of 2 years, yet also on average were willing to withdraw when seizure risk decreased below 15%-30%, which is lower than most patients' postwithdrawal risk at 2-year seizure freedom and lower than the equivalent even of a first seizure of life. These findings will inform future efforts at developing decision support tools aimed at optimizing ASM withdrawal decisions.

Self-administered acupressure for veterans with chronic back pain: Study design and methodology of a type 1 hybrid effectiveness implementation randomized controlled trial.

BACKGROUND: Chronic low back pain is prevalent and disabling in Veterans, but effective pain management is challenging. Clinical practice guidelines emphasize multimodal pain management including evidence-based complementary and integrative health treatments such as acupressure as a first line of care. Unfortunately, the ability to replicate interventions, cost, resources, and limited access are implementation barriers. Self-administered acupressure has shown positive effects on pain and can be practiced anywhere with little to no side effects. METHODS/DESIGN: The aims of this Type 1 hybrid effectiveness implementation randomized controlled trial are 1) to determine effectiveness of a self-administered acupressure protocol at improving pain interference and secondary outcomes of fatigue, sleep quality, and disability in 300 Veterans with chronic low back pain, and 2) evaluate implementation barriers and facilitators to scale-up acupressure utilization within Veterans Health Administration (VHA). Participants randomized to the intervention will receive instruction on acupressure application using an app that facilitates daily practice for 6 weeks. During weeks 6 through 10, participants will discontinue acupressure to determine sustainability of effects. Participants randomized to waitlist control will continue their usual care for pain management and receive study materials at the end of the study period. Outcomes will be collected at baseline and at 6- and 10-weeks post baseline. The primary outcome is pain interference, measured by the PROMIS pain interference scale. Using established frameworks and a mixed methods approach, we will evaluate intervention implementation. DISCUSSION: If acupressure is effective, we will tailor strategies to support implementation in the VHA based on study findings. TRIAL REGISTRATION NUMBER: NCT05423145.

Antiseizure medication withdrawal risk estimation and recommendations: A survey of American Academy of Neurology and EpiCARE members.

OBJECTIVE: Choosing candidates for antiseizure medication (ASM) withdrawal in well-controlled epilepsy is challenging. We evaluated (a) the correlation between neurologists' seizure risk estimation ("clinician predictions") vs calculated predictions, (b) how viewing calculated predictions influenced recommendations, and (c) barriers to using risk calculation. METHODS: We asked US and European neurologists to predict 2-year seizure risk after ASM withdrawal for hypothetical vignettes. We compared ASM withdrawal recommendations before vs after viewing calculated predictions, using generalized linear models. RESULTS: Three-hundred and forty-six neurologists responded. There was moderate correlation between clinician and calculated predictions (Spearman coefficient 0.42). Clinician predictions varied widely, for example, predictions ranged 5%-100% for a 2-year seizure-free adult without epileptiform abnormalities. Mean clinician predictions exceeded calculated predictions for vignettes with epileptiform abnormalities (eg, childhood absence epilepsy: clinician 65%, 95% confidence interval [CI] 57%-74%; calculated 46%) and surgical vignettes (eg, focal cortical dysplasia 6-month seizure-free mean clinician 56%, 95% CI 52%-60%; calculated 28%). Clinicians overestimated the influence of epileptiform EEG findings on withdrawal risk (26%, 95% CI 24%-28%) compared with calculators (14%, 95% 13%-14%). Viewing calculated predictions slightly reduced willingness to withdraw (-0.8/10 change, 95% CI -1.0 to -0.7), particularly for vignettes without epileptiform abnormalities. The greatest barrier to calculator use was doubting its accuracy (44%). SIGNIFICANCE: Clinicians overestimated the influence of abnormal EEGs particularly for low-risk patients and overestimated risk and the influence of seizure-free duration for surgical patients, compared with calculators. These data may question widespread ordering of EEGs or time-based seizure-free thresholds for surgical patients. Viewing calculated predictions reduced willingness to withdraw particularly without epileptiform abnormalities.

A Community-Engaged Process for Adapting a Cardiovascular Health Intervention for Persons with Serious Mental Illness.

Introduction: People with serious mental illness experience grave disparities in cardiovascular disease risk factors. To promote scale-up of effective cardiovascular disease risk reduction interventions from clinical trials, it is important to involve end-users in adapting interventions to fit the needs of community-based settings. Objective: We describe a novel, theory-informed process of garnering community input to adapt IDEAL Goals, an evidence-based intervention for improving cardiovascular disease risk factors in persons with serious mental illness. Setting: Outpatient community mental health programs in Maryland and Michigan implementing behavioral health homes, which provide enhanced support to people living with both physical and mental illnesses. Participants: Clinicians, frontline staff, and administrators from community mental health organizations and persons with serious mental illness. Methods: Our approach to community engagement is based on the Replicating Effective Programs (REP) framework. During the REP preimplementation phase, we used 2 community engagement activities: (1) a "needs assessment" to identify anticipated implementation barriers and facilitators, and (2) "community working groups" to collaboratively engage with end-users in adapting the intervention and implementation strategies. Main Findings: We used the Stakeholder Engagement Reporting Questionnaire to describe our processes for conducting a needs assessment, involving site-level surveys (N=26) and individual interviews (N=94), and convening a series of community working groups with clinicians and staff (mean, 24 per meeting) and persons with serious mental illness (mean, 8 per meeting). Conclusions: By specifying the nature and extent of our community engagement activities, we aim to contribute to the evidence base of how to better integrate and measure community-engaged processes in the adaptation of evidence-based interventions.

Digital mental health interventions for chronic serious mental illness: Findings from a qualitative study on usability and scale-up of the Life Goals app for bipolar disorder.

The Life Goals (LG) application is an evidence-based self-management tool intended to help individuals with bipolar disorder (BD) by aligning symptom coping strategies with personal goals. The program has traditionally been offered in-person or via the web, but has recently been translated into an individualized, customizable mobile intervention to improve access to care and reduce provider burden. The LG app previously showed acceptability with ease of use and satisfaction with user interface, but less success in encouraging self-management. To better understand patient needs, our team conducted semi-structured interviews with 18 individuals with BD who used the LG app for 6 months. These interviews also investigated participant interest in sharing LG app data with their provider through an online dashboard. Using affinity mapping, a collaborative, qualitative data analysis technique, our team identified emerging common themes in the interviews. Through this process, team members identified 494 pieces of salient information from interviews that were mapped and translated into three main findings: (1) many participants found Mood Monitoring and LG modules helpful/interesting and stated the app overall had positive impacts on their mental health, (2) some components of the app were too rudimentary or impersonal to be beneficial, and (3) feedback was mixed regarding future implementation of an LG provider dashboard, with some participants seeing potential positive impacts and others hesitating due to perceived efficacy and privacy concerns. These findings can help researchers improve app-based interventions for individuals with BD by increasing app usage and improving care overall.

Developing a statewide network of coaches to support youth access to evidence-based practices.

Background: A national shortage of mental health providers for youth exists in the United States. Implementation support for mental health services in schools, where students are most likely to access care, can help to fill these gaps. Coaching consists of in vivo modeling and support during service delivery and is effective in supporting the implementation of evidence-based practices (EBPs). This implementation report describes the recruitment and training of community providers to become coaches as a part of a modified train-the-trainer model of implementation support. Method: An EBP implementation program, Transforming Research into Action to Improve the Lives of Students (TRAILS), trained community providers in Michigan to increase knowledge of cognitive behavioral therapy (CBT) and position them as coaches in schools. The development of the coach network involved five stages prior to the initiation of a randomized controlled trial: (1) recruitment, (2) a one-day clinical training, (3) 12 weeks of individualized consultation, (4) evaluation, and (5) training in the coaching protocol. Results: A total of 347 individuals attended an initial training, and 187 were paired with a consultant. Eighty-six clinicians from 47 of Michigan's 83 counties successfully became coaches by completing all required elements of training. Coaches showed significant improvements in the use and knowledge of CBT across consultation. Conclusion: Statewide networks of trained mental health professionals can address gaps in mental healthcare for youth. This article demonstrates one strategy for strengthening and leveraging community expertise to support the implementation of EPBs in schools. Plain Language Summary: Although youth face many barriers in accessing effective mental health care, schools are one setting where they can more easily receive treatment. Research shows that training and supports are needed for school mental health professionals to provide effective care. Coaching, which involves in vivo support for school mental health professionals, is one helpful strategy. We describe the process of recruiting and training community clinicians to become coaches. The Transforming Research into Action to Improve the Lives of Students (TRAILS) program successfully recruited and trained a network of 86 community clinicians to become coaches. Clinicians attended two day-long trainings and participated in 12 weeks of personalized consultation. Clients to whom these clinicians provided CBT showed significant symptom improvement. Clinicians also reported that they increased their knowledge and use of core CBT strategies, including psychoeducation, exposure, and behavioral activation. Community mental health professionals who are trained as coaches can address gaps in access to care for youth. We demonstrate one strategy for strengthening and leveraging clinicians' knowledge of CBT to support the school-based implementation of CBT.