Supporting Quality Integrated Care for Adolescent Depression in Primary Care: A Learning System Approach.

Background: Quality integrated care, which involves primary care and mental health clinicians working together, can help identify and treat adolescent depression early. We explored systemic barriers to quality integrated care at the provincial level in Ontario, Canada using a learning system approach. Methods: Two Ontario Health Teams (OHTs), regional networks designed to support integrated care, completed the Practice Integration Profile (PIP) and participated in focus groups. Results: The OHTs had a median PIP score of 69 out of 100. Among the PIP domains, the lowest median score was case identification (50), and the highest one was workspace (100). The focus groups generated 180 statements mapped to the PIP domains. Workflow had the highest number of coded statements (59, 32.8%). Discussion: While the primary care practices included mental health clinicians on-site, the findings highlighted systemic barriers with adhering to the integrated care pathway for adolescent depression. These include limited access to mental health expertise for assessment and diagnosis, long wait times for treatment, and shortages of clinicians trained in evidence-based behavioral therapies. These challenges contributed to the reliance on antidepressants as the first line of treatment due to their accessibility rather than evidence-based guidelines. Conclusion: Primary care practices, within regional networks such as OHTs, can form learning systems to continuously identify the strategies needed to support quality integrated care for adolescent depression based on real-world data.

Effects of intervention stage completion in an integrated behavioral health and primary care randomized pragmatic intervention trial.

Purpose: A pragmatic, cluster-randomized controlled trial of a comprehensive practice-level, multi-staged practice transformation intervention aimed to increase behavioral health integration in primary care practices and improve patient outcomes. We examined association between the completion of intervention stages and patient outcomes across a heterogenous national sample of primary care practices. Methods: Forty-two primary care practices across the U.S. with co-located behavioral health and 2,426 patients with multiple chronic medical and behavioral health conditions completed surveys at baseline, midpoint and two year follow-up. Effects of the intervention on patient health and primary care integration outcomes were examined using multilevel mixed-effects models, while controlling for baseline outcome measurements. Results: No differences were found associated with the number of intervention stages completed in patient health outcomes were found for depression, anxiety, fatigue, sleep disturbance, pain, pain interference, social function, patient satisfaction with care or medication adherence. The completion of each intervention stage was associated with increases in Practice Integration Profile (PIP) domain scores and were confirmed with modeling using multiple imputation for: Workflow 3.5 (95% CI: 0.9-6.1), Integration Methods 4.6 (95% CI: 1.5-7.6), Patient Identification 2.9 (95% CI: 0.9-5.0), and Total Integration 2.7 (95% CI: 0.7-4.7). Conclusion: A practice-centric flexible practice transformation intervention improved integration of behavioral health in primary care across heterogenous primary care practices treating patients with multiple chronic conditions. Interventions that allow practices to flexibly improve care have potential to help complex patient populations. Future research is needed to determine how to best target patient health outcomes at a population level.

Reduction of Environmental Pollutants and Travel Burden Through an Academic Medical Center-based Electronic Consultation Program.

Background: We evaluated the impact of electronic consultation (eConsult) in reducing the environmental pollutants associated with health care delivery. Methods: A retrospective analysis of the eConsult data between July 2018 and December 2022 was extracted from the electronic health record (Epic). Travel time and mileage from the patient home to the academic medical center (AMC) were calculated along with fuel expenditure and greenhouses gas savings. Projected savings through the end of the decade were forecast using a random walk model. Results: A total of 15,499 eConsults were submitted to AMC specialist providers from community primary care providers. Completed eConsults (n = 11,590) eliminated the need for a face-to-face visit with a specialist provider, eliminating mileage, fuel, time, and pollutants associated with face to face visits. In-state travel distance saved was 310,858 miles, travel time saved was 5,491 h, with an associated fuel reduction of 13,575 gallons and $56,893 savings. This reduced greenhouse gas emissions by 128 metric tons of carbon dioxide, 0.022 tons of nitrogen oxide, 0.005 tons of methane, and 0.001 tons of nitrous oxide. Out of state travel distance saved was 188,346 miles with 2,842 h reduced travel time, and associated fuel reduction of 8,225 gallons and of $34,118. Reduced greenhouse gas emissions were equivalent to 77 metric tons of carbon dioxide, 0.0132 tons of nitrogen oxide, 0.0033 tons of methane, and 0.0007 tons of nitrous oxide. Conclusion: This study indicates that medical care provided through telehealth modalities reduces the environmental impact of pollutants associated with face to face visits.

A Cluster Randomized Trial of Primary Care Practice Redesign to Integrate Behavioral Health for Those Who Need It Most: Patients With Multiple Chronic Conditions.

PURPOSE: Patient outcomes can improve when primary care and behavioral health providers use a collaborative system of care, but integrating these services is difficult. We tested the effectiveness of a practice intervention for improving patient outcomes by enhancing integrated behavioral health (IBH) activities. METHODS: We conducted a pragmatic, cluster randomized controlled trial. The intervention combined practice redesign, quality improvement coaching, provider and staff education, and collaborative learning. At baseline and 2 years, staff at 42 primary care practices completed the Practice Integration Profile (PIP) as a measure of IBH. Adult patients with multiple chronic medical and behavioral conditions completed the Patient-Reported Outcomes Measurement Information System (PROMIS-29) survey. Primary outcomes were the change in 8 PROMIS-29 domain scores. Secondary outcomes included change in level of integration. RESULTS: Intervention assignment had no effect on change in outcomes reported by 2,426 patients who completed both baseline and 2-year surveys. Practices assigned to the intervention improved PIP workflow scores but not PIP total scores. Baseline PIP total score was significantly associated with patient-reported function, independent of intervention. Active practices that completed intervention workbooks (n = 13) improved patient-reported outcomes and practice integration (P ≤ .05) compared with other active practices (n = 7). CONCLUSION: Intervention assignment had no effect on change in patient outcomes; however, we did observe improved patient outcomes among practices that entered the study with greater IBH. We also observed more improvement of integration and patient outcomes among active practices that completed the intervention compared to active practices that did not. Additional research is needed to understand how implementation efforts to enhance IBH can best reach patients.

Integrated Behavioral Health in Primary Care Residency and Nonresidency Practices.

BACKGROUND AND OBJECTIVES: Integrated behavioral health (BH) is becoming a preferred model of care for primary care because it improves patient outcomes and satisfaction. Little is known about whether residency practices are consistently modeling this preferred care model relative to real-world nonresidency practices. The study compared levels of BH integration, patient health outcomes, and satisfaction with care between residency practices and nonresidency practices with colocated BH providers. METHODS: Baseline data were collected in 2018-2019 from 44 practices and their adult patients with chronic conditions participating in a cluster-randomized, pragmatic trial to improve BH integration. The sample included 18 (40.9%) residency and 26 (59.1%) nonresidency practices, with 1,817 (45.3%) patients from residency practices and 2,190 (54.7%) patients from nonresidency practices. Outcomes including BH integration levels (the Practice Integration Profile), patient health outcomes (the PROMIS-29), and patient satisfaction with care (the Consultation and Relational Empathy scale) were compared between residency and nonresidency practices using multivariate regression analyses. RESULTS: No differences were found between BH integration levels, patient health outcomes, and patient satisfaction with care between residency and nonresidency practices. In a sample of primary care practices with colocated BH providers, residencies had BH integration and patient outcomes similar to real-world practices. CONCLUSIONS: Primary care practices with residency programs reported comparable levels of BH integration, patient health outcomes, and patient satisfaction compared to practices without residency programs. Both types of practices require interventions and resources to help them overcome challenges associated with dissemination of high levels of BH integration.

Econometric evaluation of implementing a behavioral health integration intervention in primary care settings.

Integrated behavioral health (IBH) is an approach to patient care that brings medical and behavioral health providers (BHPs) together to address both behavioral and medical needs within primary care settings. A large, pragmatic, national study aimed to test the effectiveness and measure the implementation costs of an intervention to improve IBH integration within primary care practices (IBH-PC). Assess the time and cost to practices of implementing a comprehensive practice-level intervention designed from the perspective of clinic owners to move behavioral service integration from co-location toward full integration as part of the IBH-PC study. IBH-PC program implementation costs were estimated in a representative sample of 8 practices using standard micro-econometric evaluation of activities outlined in the implementation workbook, including program implementation tasks, remote quality improvement coaching services, educational curricula, and learning community activities, over a 24-month period. The total median cost of implementing the IBH-PC program across all stages was $20,726 (range: $12,381 - $60,427). The median cost of the Planning Stage was $10,258 (range: $4,625 - $14,840), while the median cost of the Implementation Stage was $9,208 (range: $6,017 - 49,993). There were no statistically significant differences in practice or patient characteristics between the 8 selected practices and the larger IBH-PC practice sample (N=34). This study aimed to quantify the relative costs associated with integrating behavioral health into primary care. Although the cost assessment approach did not include all costs (fixed, variable, operational, and opportunity costs), the study aimed to develop a replicable and pragmatic measurement process with flexibility to adapt to emerging developments in each practice environment, providing a reasonable ballpark estimate of costs associated with implementation to help guide future executive decisions.

This study estimated the cost of implementing a program that helped 8 primary care practices transition from a co-located behavioral health services model to greater integration. Our study was part of a larger study across the United States. The authors found that the per-practice program implementation cost ranged between $12,381 and $60,427 and the median cost was $20,726. Leaders of healthcare organizations that participated in this study thought that these costs represented the work of program implementation and that they were reasonable and acceptable.

Integrating case management for patients with complex needs in the ground practice: the importance of context in evaluative designs.

Responding to complex needs calls for integrating care across providers, settings and sectors. Among models to improve integrated care, case management demonstrates a good evidence base of facilitating the appropriate delivery of healthcare services. Since case management is a complex, multi component intervention, with its component parts interacting in a non-linear manner, effectiveness is largely influenced by the context in which the intervention is implemented. This paper discusses how to respond to implementation challenges to evaluating complex interventions for patients with complex needs. Building on the example of case management, we suggest that documenting innovation effectiveness remains important, but that evaluation needs to include theory-based and systems perspectives. We also suggest that implementation science needs to be part of intervention design while engaging stakeholders to define the most relevant research questions and implementation effectiveness, to optimize successful implementation and sustainability.

Benefits and harms of treatments for chronic nonspecific low back pain without radiculopathy: systematic review and meta-analysis.

BACKGROUND CONTEXT: Currently, there are no published studies that compare nonpharmacological, pharmacological and invasive treatments for chronic low back pain in adults and provide summary statistics for benefits and harms. PURPOSE: The aim of this review was to compare the benefits and harms of treatments for the management of chronic low back pain without radiculopathy and to report the findings in a format that facilitates direct comparison (Benefit-Harm Scale: level 1 to 7). DESIGN: Systematic review and meta-analysis of randomized controlled trials, including trial registries, from electronic databases up to 23rd May 2022. PATIENT SAMPLE: Adults with chronic nonspecific low back pain, excluding radicular pain, in any clinical setting. OUTCOME MEASURES: Comparison of pain at immediate-term (≤2 weeks) and short-term (>2 weeks to ≤12 weeks) and serious adverse events using the Benefit-Harm Scale (level 1 to 7). METHODS: This was a registered systematic review and meta-analysis of randomized controlled trials. Interventions included nonpharmacological (acupuncture, spinal manipulation), pharmacological and invasive treatments compared to placebo. Best evidence criteria was used. Two independent reviewers conducted eligibility assessment, data extraction and quality appraisal. RESULTS: The search retrieved 17,362 records. Three studies provided data on the benefits of interventions, and 30 provided data on harms. Studies included interventions of acupuncture (n=8); manipulation (n=2); pharmacological therapies (n=9), including NSAIDs and opioid analgesics; surgery (n=8); and epidural corticosteroid injections (n=3). Acupuncture (standardized mean difference (SMD) -0.51, 95%CI -0.88 to -0.14, n=1 trial, moderate quality of evidence, benefit rating of 3) and manipulation (SMD -0.39, 95%CI -0.56 to -0.21, n=2 trials, moderate quality of evidence, benefit rating of 5) were effective in reducing pain intensity compared to sham. The benefit of the other interventions was scored as uncertain due to not being effective, statistical heterogeneity preventing pooling of effect sizes, or the absence of relevant trials. The harms level warnings were at the lowest (eg, indicating rarer risk of events) for acupuncture, spinal manipulation, NSAIDs, combination ingredient opioids, and steroid injections, while they were higher for single ingredient opioid analgesics (level 4) and surgery (level 6). CONCLUSIONS: There is uncertainty about the benefits and harms of all the interventions reviewed due to the lack of trials conducted in patients with chronic nonspecific low back pain without radiculopathy. From the limited trials conducted, nonpharmacological interventions of acupuncture and spinal manipulation provide safer benefits than pharmacological or invasive interventions. However, more research is needed. There were high harms ratings for opioids and surgery.

Practice integration profile revised: Improving item readability and completion.

INTRODUCTION: The Practice Integration Profile (PIP) is a reliable, valid, and broadly used measure of the integration of behavioral health (BH) into primary care. The PIP assesses operational and procedural elements that are grounded in the AHRQ Lexicon for Behavioral Health and Primary Care Integration. Prior analyses of PIP data and feedback from users suggested the measure was in need of revisions. This article describes the process used to improve readability, clarity, and pragmatic utility of the instrument. METHOD: Two rounds of structured cognitive interviews were conducted with clinicians in primary care settings. After each round, interview transcripts were coded by an analytic team using an iterative and consensus-driven process. Themes were identified based on codes. Themes and recommendations for revisions were reviewed and modified by committee. RESULTS: Based on feedback and a prior factor analysis of the PIP, revisions were undertaken to: (a) eliminate redundant or overlapping items; (b) clarify the meaning of items; (c) standardize the response categories, and (d) place items in the most appropriate domains. The resulting measure has 28 items in five domains. DISCUSSION: PIP 2.0 will need further examination to confirm its continuing use as a foundational tool for evaluating integrated care. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Payment strategies for behavioral health integration in hospital-affiliated and non-hospital-affiliated primary care practices.

Recent value-based payment reforms in the U.S. called for empirical data on how primary care practices of varying characteristics fund their integrated behavioral health services. To describe payment strategies used by U.S. primary care practices to fund behavioral health integration and compare strategies between practices with and without hospital affiliation.Baseline data were used and collected from 44 practices participating in a cluster-randomized, pragmatic trial of behavioral health integration. Data included practice characteristics and payment strategies-fee-for-service payment, pay-for-performance incentives, grants, and graduate medical education funds. Descriptive and comparative analyses using Fisher's exact tests and independent T-tests were conducted. The sample had 26 (59.1%) hospital-affiliated (hospital/health system-owned, academic medical centers and hospital-affiliated practices) and 18 (40.9%) non-hospital-affiliated practices (community health centers/federally qualified health centers and privately-owned practices). Most practices (88.6%) received payments through fee-for-service; 63.6% received pay-for-performance incentives; 31.8% received grant funds. Collaborative Care Management billing (CPT) codes were used in six (13.6%) practices. Over half (53.8%) of hospital-affiliated practices funded their behavioral health services through fee-for-service and pay-for-performance incentives only, as opposed to two-thirds (66.7%) of non-hospital-affiliated practices required additional support from grants and/or general medical education funds. Primary care practices support behavioral health integration through diverse payment strategies. More hospital-affiliated practices compared to non-hospital-affiliated practices funded integrated behavioral health services through fee-for-service and pay-for-performance incentives. Practices without hospital affiliation relied on multiple funding streams including grants and/or general medical education funds, suggesting their approach to financial sustainment may be more precarious or challenging, compared to hospital-affiliated practices.

Further Experience with the Practice Integration Profile: A Measure of Behavioral Health and Primary Care Integration.

Valid measures of behavioral health integration have the potential to enable comparisons of various models of integration, contribute to the overall development of high-quality care, and evaluate outcomes that are strategically aligned with standard improvement efforts. The Practice Integration Profile has proven to discriminate among clinic types and integration efforts. We continued the validation of the measure's internal consistency, intra-rater consistency, and inter-rater consistency with a separate and larger sample from a broader array of practices. We found that the Practice Integration Profile demonstrated a high level of internal consistency, suggesting empirically sound measurement of independent attributes of integration, and high reliability over time. The Practice Integration Profile provides internally consistent and interpretable results and can serve as both a quality improvement and health services research tool.

Differences in Occupational Burnout Among Primary Care Professionals.

BACKGROUND: Occupational burnout is a major concern for personal well-being and patient care. We examined burnout among primary care providers (PCPs), medical residents, behavioral health providers (BHPs), nurses, and other clinical and nonclinical primary care team members. METHODS: This was a cross-sectional study, nested within a larger randomized trial. Participants completed a validated 9-item burnout measure with 3 domains: depersonalization, emotional exhaustion, and personal accomplishment. Multivariable multilevel linear regression with a random intercept for each practice was used to determine mean differences in burnout across professional roles. RESULTS: Overall burnout rates varied by professional role: PCPs 70%, medical residents 89%, BHPs 59%, nurses 66%, other clinicians 68%, and nonclinical professionals 70%. Compared with nonclinical professionals, residents experienced more burnout in more domains, followed by PCPs. PCPs, residents, and nurses reported significantly worse depersonalization and exhaustion scores. Nonclinical professionals had worse accomplishment scores than all clinical professionals except for residents. This study revealed moderate-to-high levels of burnout among primary care professionals. DISCUSSION: Clinicians may be experiencing aspects of burnout more intensely than their nonclinical colleagues, and this may be most true for residents and PCPs. Based on these variations, interventions to mitigate burnout may need to be tailored by professional role.

Understanding and applying the RE-AIM framework: Clarifications and resources.

INTRODUCTION: Understanding, categorizing, and using implementation science theories, models, and frameworks is a complex undertaking. The issues involved are even more challenging given the large number of frameworks and that some of them evolve significantly over time. As a consequence, researchers and practitioners may be unintentionally mischaracterizing frameworks or basing actions and conclusions on outdated versions of a framework. METHODS: This paper addresses how the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework has been described, summarizes how the model has evolved over time, and identifies and corrects several misconceptions. RESULTS: We address 13 specific areas where misconceptions have been noted concerning the use of RE-AIM and summarize current guidance on these issues. We also discuss key changes to RE-AIM over the past 20 years, including the evolution to Pragmatic Robust Implementation and Sustainability Model, and provide resources for potential users to guide application of the framework. CONCLUSIONS: RE-AIM and many other theories and frameworks have evolved, been misunderstood, and sometimes been misapplied. To some degree, this is inevitable, but we conclude by suggesting some actions that reviewers, framework developers, and those selecting or applying frameworks can do to prevent or alleviate these problems.

Integrating Behavioral Health and Primary Care (IBH-PC) to improve patient-centered outcomes in adults with multiple chronic medical and behavioral health conditions: study protocol for a pragmatic cluster-randomized control trial.

BACKGROUND: Chronic diseases that drive morbidity, mortality, and health care costs are largely influenced by human behavior. Behavioral health conditions such as anxiety, depression, and substance use disorders can often be effectively managed. The majority of patients in need of behavioral health care are seen in primary care, which often has difficulty responding. Some primary care practices are providing integrated behavioral health care (IBH), where primary care and behavioral health providers work together, in one location, using a team-based approach. Research suggests there may be an association between IBH and improved patient outcomes. However, it is often difficult for practices to achieve high levels of integration. The Integrating Behavioral Health and Primary Care study responds to this need by testing the effectiveness of a comprehensive practice-level intervention designed to improve outcomes in patients with multiple chronic medical and behavioral health conditions by increasing the practice's degree of behavioral health integration. METHODS: Forty-five primary care practices, with existing onsite behavioral health care, will be recruited for this study. Forty-three practices will be randomized to the intervention or usual care arm, while 2 practices will be considered "Vanguard" (pilot) practices for developing the intervention. The intervention is a 24-month supported practice change process including an online curriculum, a practice redesign and implementation workbook, remote quality improvement coaching services, and an online learning community. Each practice's degree of behavioral health integration will be measured using the Practice Integration Profile. Approximately 75 patients with both chronic medical and behavioral health conditions from each practice will be asked to complete a series of surveys to measure patient-centered outcomes. Change in practice degree of behavioral health integration and patient-centered outcomes will be compared between the two groups. Practice-level case studies will be conducted to better understand the contextual factors influencing integration. DISCUSSION: As primary care practices are encouraged to provide IBH services, evidence-based interventions to increase practice integration will be needed. This study will demonstrate the effectiveness of one such intervention in a pragmatic, real-world setting. TRIAL REGISTRATION: ClinicalTrials.gov NCT02868983 . Registered on August 16, 2016.

Defining and measuring core processes and structures in integrated behavioral health in primary care: a cross-model framework.

A movement towards integrated behavioral health (IBH) in primary care continues to grow, among an accumulating evidence base for its effectiveness for improving care. However, healthcare organizations struggle to navigate where to target their limited resources for improving integration. We evaluated a cross-model framework of IBH core processes and structures. We used a mixed-methods approach for evaluation of the framework, which included (a) an evaluation survey of national experts and stakeholders, (b) crosswalks with common IBH measures, and (c) a real-world usability test. Five core IBH principles, mapping to 25 processes, and nine clinic structures were defined. Survey responses from 29 IBH domain and policy experts and stakeholders resulted in uniformly high ratings of importance and variable levels of feasibility for measurement, particularly with respect to electronic health record (EHR) systems. A real-world usability test resulted in good uptake and use of the framework across a state-wide effort. An IBH Cross-Model Framework of core principles, processes, and structures generated good acceptability and showed good real-world utility in a state-wide effort to improve IBH across disparate levels of integration in diverse primary care settings. Findings identify feasible areas of measurement, particularly with EHR systems. Next steps include testing the relationship between the individual framework components and patient outcomes to help guide clinics towards prioritizing efforts focused on improving integration.

Measuring the integration of primary care and behavioral health services.

OBJECTIVE: To perform a factor analysis of the Practice Integration Profile (PIP), a 30-item practice-level measure of primary care and behavioral health integration derived from the Agency for Healthcare Research and Quality's Lexicon for Behavioral Health and Primary Care Integration. DATA SOURCES: The PIP was completed by 735 individuals, representing 357 practices across the United States. STUDY DESIGN: The study design was a cross-sectional survey. An exploratory factor analysis and assessment of internal consistency reliability via Cronbach's alpha were performed. DATA COLLECTION METHODS: Participant responses were collected using REDCap, a secure, web-based data capture tool. PRINCIPAL FINDINGS: Five of the PIP's six domains had factor loadings for most items related to each factor representing the PIP of 0.50 or greater. However, one factor had items from two PIP domains that had loadings >0.50. A five-factor model with redistributed items resulted in improved factor loadings for all domains along with greater internal consistency reliability (>0.80). CONCLUSIONS: Five of the PIP's six domains demonstrated excellent internal consistency for measures of health care resources. Although minor improvements to strengthen the PIP are possible, it is a valid and reliable measure of the integration of primary care and behavioral health.

Chronic care coordination by integrating care through a team-based, population-driven approach: a case study.

Patients with chronic conditions frequently experience behavioral comorbidities to which primary care cannot easily respond. This study observed a Vermont family medicine practice with integrated medical and behavioral health services that use a structured approach to implement a chronic care management system with Lean. The practice chose to pilot a population-based approach to improve outcomes for patients with poorly controlled Type 2 diabetes using a stepped-care model with an interprofessional team including a community health nurse. This case study observed the team's use of Lean, with which it designed and piloted a clinical algorithm composed of patient self-assessment, endorsement of behavioral goals, shared documentation of goals and plans, and follow-up. The team redesigned workflows and measured reach (patients who engaged to the end of the pilot), outcomes (HbA1c results), and process (days between HbA1c tests). The researchers evaluated practice member self-reports about the use of Lean and facilitators and barriers to move from pilot to larger scale applications. Of 20 eligible patients recruited over 3 months, 10 agreed to participate and 9 engaged fully (45%); 106 patients were controls. Relative to controls, outcomes and process measures improved but lacked significance. Practice members identified barriers that prevented implementation of all changes needed but were in agreement that the pilot produced useful outcomes. A systematized, population-based, chronic care management service is feasible in a busy primary care practice. To test at scale, practice leadership will need to allocate staffing, invest in shared documentation, and standardize workflows to streamline office practice responsibilities.

Behavioral and mental health risk factor profiles among diverse primary care patients.

Behavioral and mental health risk factors are prevalent among primary care patients and contribute substantially to premature morbidity and mortality and increased health care utilization and costs. Although prior studies have found most adults screen positive for multiple risk factors, limited research has attempted to identify factors that most commonly co-occur, which may guide future interventions. The purpose of this study was to identify subgroups of primary care patients with co-occurring risk factors and to examine sociodemographic characteristics associated with these subgroups. We assessed 12 behavioral health risk factors in a sample of adults (n=1628) receiving care from nine primary care practices across six U.S. states in 2013. Using latent class analysis, we identified four distinct patient subgroups: a 'Mental Health Risk' class (prevalence=14%; low physical activity, high stress, depressive symptoms, anxiety, and sleepiness), a 'Substance Use Risk' class (29%; highest tobacco, drug, alcohol use), a 'Dietary Risk' class (29%; high BMI, poor diet), and a 'Lower Risk' class (27%). Compared to the Lower Risk class, patients in the Mental Health Risk class were younger and less likely to be Latino/Hispanic, married, college educated, or employed. Patients in the Substance Use class tended to be younger, male, African American, unmarried, and less educated. African Americans were over 7 times more likely to be in the Dietary Risk versus Lower Risk class (OR 7.7, 95% CI 4.0-14.8). Given the heavy burden of behavioral health issues in primary care, efficiently addressing co-occurring risk factors in this setting is critical.

Residents' Confidence Providing Primary Care With Behavioral Health Integration.

BACKGROUND AND OBJECTIVES: Behavioral health integration (BHI) entails integrated behavioral health clinicians (IBHCs) providing care-generally for mental health and substance abuse disorders and behavioral comorbidity- within the operational functioning of primary care. Because limited data exist regarding BHI in residency, we studied its impact on resident education by examining whether increased behavioral health (BH) co-management improved residents' perceived ability to treat BH conditions. METHODS: We included residents from internal and family medicine training programs using BHI in residents' continuity clinics and assessed the level of co-management between primary care and IBHCs and the following domains: (1) confidence in managing BH conditions, (2) barriers to BH provision, (3) perception of autonomy when working with IBHCs, (4) satisfaction with the clinic, and (5) perceived educational value of BH learning modes. RESULTS: Altogether, 117 residents participated in our survey (73.1% response rate). Residents who had co-managed ≥ five patients alongside IBHCs reported significantly higher confidence than those who had co-managed < five patients with BH conditions. The association remained significant after adjustment for residents' level of training and specialty. In rating BH learning modes, residents rated most highly active collaboration with IBHCs and observation with feedback from clinic preceptors. CONCLUSIONS: BHI training within residency enhances perceived learning and confidence in providing BH care.