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.

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).

Expanding interprofessional teams: Training future health care professionals in screening, brief intervention, and referral to treatment (SBIRT).

INTRODUCTION: Substance misuse persists and is undertreated across the United States (Substance Abuse and Mental Health Services Administration, 2021). Further enhancing the skill sets and capacity of interprofessional members of primary care teams to include proficiency in the Screening, Brief Intervention, and Referral to Treatment (SBIRT) model could help to alleviate the "treatment gap" (those requiring treatment, but not receiving it) by enhancing interprofessional teams at the pregraduate level (e.g., health educators, health coaches) to expand capacity and meet the volume of patients with substance use-related needs. METHOD: In this study, SBIRT knowledge, training satisfaction, and efficacy were evaluated among undergraduate and graduate health and behavioral health students before and after exposure to a series of online training modules. RESULTS: On completion of the training, there were positive percent increases in overall mean knowledge and self-efficacy when compared with pretraining. At posttraining, graduate level students, regardless of discipline, reported greater knowledge than undergraduate students; there were no differences in efficacy or satisfaction among the groups. Additional analysis at the graduate level evaluated differences between behavioral health and medical trainees. No differences were found in knowledge or efficacy between groups at posttest, despite medical trainees reporting significantly lower efficacy at pretest. DISCUSSION: The findings of this study reinforce the need and potential to incorporate SBIRT training into higher education curricula for interprofessional health care professions to begin expanding the integrated care team's knowledge and efficacy in the provision of SBIRT to address the treatment gap. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

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.

Integrating behavioral health & primary care for multiple chronic diseases: Clinical trial of a practice redesign toolkit.

Context: Most patients in need of behavioral health (BH) care are seen in primary care, which often has difficulty responding. Some practices integrate behavioral health care (IBH), with medical and BH providers at the same location, working as a team. However, it is difficult to achieve high levels of integration. Objective: Test the effectiveness of a practice intervention designed to increase BH integration. Study Design: Pragmatic, cluster-randomized controlled trial. Setting: 43 primary care practices with on-site BH services in 13 states. Population: 2,460 adults with multiple chronic medical and behavioral conditions. Intervention: 24-month practice change process including an online curriculum, a practice redesign and implementation workbook, remote quality improvement coaching services, and an online learning community. Outcomes: Primary outcomes were changes in the 8 Patient-Reported Outcomes Measurement Information System (PROMIS-29) domain scores. Secondary outcomes were changes in medication adherence, self-reported healthcare utilization, time lost due to disability, cardiovascular capacity, patient centeredness, provider empathy, and several condition-specific measures. A sample of practice staff completed the Practice Integration Profile at each time point to estimate the degree of BH integration in that site. Practice-level case studies estimated the typical costs of implementing the intervention. Results: The intervention had no significant effect on any of the primary or secondary outcomes. Subgroup analyses showed no convincing patterns of effect in any populations. COVID-19 was apparently not a moderating influence of the effect of the intervention on outcomes. The intervention had a modest effect on the degree of practice integration, reaching statistical significance in the Workflow domain. The median cost of the intervention was $18,204 per practice. In post-hoc analysis, level of BH integration was associated with improved patient outcomes independent of the intervention, both at baseline and longitudinally. Conclusions: The specific intervention tested in this study was inexpensive, but had only a small impact on the degree of BH integration, and none on patient outcomes. However, practices that had more integration at baseline had better patient outcomes, independent of the intervention. Although this particular intervention was ineffective, IBH remains an attractive strategy for improving patient outcomes.

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.

Testing a Screening, Brief Intervention, and Referral to Treatment (SBIRT) interdisciplinary training program model for higher education systems.

INTRODUCTION: An estimated 21 million Americans meet the criteria for a substance use disorder (SUD), whereas 24% of the population engages in risky alcohol use leading to tremendous health and economic impacts (Substance Abuse and Mental Health Services Administration, 2017). Opioid misuse is a national public health emergency, with an estimated 46,802 opioid-related deaths occurring in 2018 (National Center for Health Statistics, 2020). Despite the high prevalence of risky substance use and SUDs, preservice education related to screening for and treating SUDs in health and behavioral health professions is inadequate (Dimoff, Sayette, & Norcross, 2017; Russett & Williams, 2015; Savage et al., 2014; Tabak et al., 2012). A critical need exists for an interdisciplinary, implementation science-informed approach for developing academic training programs in the Screening, Brief Intervention, and Referral to Treatment (SBIRT) model within higher education systems. METHOD: We delineate a training model implemented within 5 health and behavioral health disciplines (nursing, social work, clinical psychology, counseling psychology, and integrated behavioral health), informed by prominent implementation scientists (Proctor et al., 2011; Rogers, 2003). RESULTS: Faculty surveys (n = 33), interviews (n = 24), and syllabi and training records reviews indicated the Brief Intervention, and Referral to Treatment model was infused into course content by 89.47% of trained faculty and sustained in 90.47% of course syllabi at project close. CONCLUSION: The model demonstrated successful uptake and sustainability in higher education systems. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

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.

Development and validation of a measure of primary care behavioral health integration.

INTRODUCTION: We developed the Practice Integration Profile (PIP) to measure the degree of behavioral health integration in clinical practices with a focus on primary care (PC). Its 30 items, completed by providers, managers, and staff, provide an overall score and 6 domain scores derived from the Lexicon of Collaborative Care. We describe its history and psychometric properties. METHOD: The PIP was tested in a convenience sample of practices. Linear regression compared scores across integration exemplars, PC with behavioral services, PC without behavioral services, and community mental health centers without PC. An additional sample rated 4 scenarios describing practices with varying degrees of integration. RESULTS: One hundred sixty-nine surveys were returned. Mean domain scores ran from 49 to 65. The mean total score was 55 (median 58; range 0-100) with high internal consistency (Cronbach's alpha = .95). The lowest total scores were for PC without behavioral health (27), followed by community mental health centers (44), PC with behavioral health (60), and the exemplars (86; p < .001). Eleven respondents rerated their practices 37 to 194 days later. The mean change was + 1.5 (standard deviation = 11.1). Scenario scores were highly correlated with the degree of integration each scenario was designed to represent (Spearman's ρ = -0.71; P = 0.0005). DISCUSSION: These data suggest that the PIP is useful, has face, content, and internal validity, and distinguishes among types of practices with known variations in integration. We discuss how the PIP may support practices and policymakers in their integration efforts and researchers assessing the degree to which integration affects patient health outcomes. (PsycINFO Database Record

The Practice Integration Profile: Rationale, development, method, and research.

Insufficient knowledge exists regarding how to measure the presence and degree of integrated care. Prior estimates of integration levels are neither grounded in theory nor psychometrically validated. They provide scant guidance to inform improvement activities, compare integration efforts, discriminate among practices by degree of integration, measure the effect of integration on quadruple aim outcomes, or address the needs of clinicians, regulators, and policymakers seeking new models of health care delivery and funding. We describe the development of the Practice Integration Profile (PIP), a novel instrument designed to measure levels of integrated behavioral health care within a primary care clinic. The PIP draws upon the Agency for Health care Research & Quality's (AHRQ) Lexicon of Collaborative Care which provides theoretic justification for a paradigm case of collaborative care. We used the key clauses of the Lexicon to derive domains of integration and generate measures corresponding to those key clauses. After reviewing currently used methods for identifying collaborative care, or integration, and identifying the need to improve on them, we describe a national collaboration to describe and evaluate the PIP. We also describe its potential use in practice improvement, research, responsiveness to multiple stakeholder needs, and other future directions. (PsycINFO Database Record

Predictors and processes associated with home-based family therapists' professional quality of life.

This study examined whether home-based family therapists' (HBFT) workload and clinical experience were associated with therapists' professional quality of life directly and indirectly through self-care activities and frequency of clinical supervision. Hypotheses were tested using structural equation modeling with a sample of 225 home-based therapists. Results suggested that therapists' workload and HBFT experience significantly predicted therapists' professional quality of life. These associations between therapists' workload and HBFT experience were partially mediated through participation in self-care and frequency of clinical supervision. Implications for improving therapists' quality of life are discussed as a function of therapists' workload, clinical experience, self-care, and supervision.

Shifting processes model: a conceptual model for sustainable weight management.

Weight-loss maintenance is widely accepted to be a difficult and often elusive process. The transtheoretical model (TTM) provides a useful description of five stages of change. Applied to weight management, weight loss occurs during the action stage and weight-loss maintenance occurs during the maintenance stage. Despite its broad utility, the TTM does not adequately explain the complexity involved with a shift from action to maintenance. Based on Engel's (G. L. Engel, 1977, The need for a new medical model: A challenge for biomedicine, Science, Vol. 196, pp. 129-136) biopsychosocial model and family systems theory, a shifting processes model is proposed to describe the potential differences and shift that occurs between weight loss and weight-loss maintenance processes within relational contexts.