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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. [ABSTRACT FROM AUTHOR]

Background: The COVID-19 pandemic resulted in a marked increase in telehealth for the provision of primary care-based opioid use disorder (OUD) treatment. This mixed methods study examines characteristics associated with having the majority of OUD-related visits via telehealth versus in-person, and changes in mode of delivery (in-person, telephone, video) over time. Methods: Logistic regression was performed using electronic health record data from patients with ≥1 visit with an OUD diagnosis to ≥1 of the two study clinics (Rural Health Clinic; urban Federally Qualified Health Center) and ≥1 OUD medication ordered from 3/8/2020-9/1/2021, with >50% of OUD visits via telehealth (vs. >50% in-person) as the dependent variable and patient characteristics as independent variables. Changes in visit type over time were also examined. Inductive coding was used to analyze data from interviews with clinical team members (n = 10) who provide OUD care to understand decision-making around visit type. Results: New patients (vs. returning; OR = 0.47;95%CI:0.27-0.83), those with ≥1 psychiatric diagnosis (vs. none; OR = 0.49,95%CI:0.29-0.82), and rural clinic patients (vs. urban; OR = 0.05; 95%CI:0.03-0.08) had lower odds of having the majority of visits via telehealth than in-person. Patterns of visit type varied over time by clinic, with the majority of telehealth visits delivered via telephone. Team members described flexibility for patients as a key telehealth benefit, but described in-person visits as more conducive to building rapport with new patients and those with increased psychological burden. Conclusion: Understanding how and why telehealth is used for OUD treatment is critical for ensuring access to care and informing OUD-related policy decisions. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the impacts of a transition to an "integrated managed care" model, wherein Medicaid managed care organizations moved from a "carve‐out" model to a "carve‐in" model integrating the financing of behavioral and physical health care. Data Sources/Study Setting: Medicaid claims data from Washington State, 2014–2019, supplemented with structured interviews with key stakeholders. Study Design: This mixed‐methods study used difference‐in‐differences models to compare changes in two counties that transitioned to financial integration in 2016 to 10 comparison counties maintaining carve‐out models, combined with qualitative analyses of 15 key informant interviews. Quantitative outcomes included binary measures of access to outpatient mental health care, primary care, the emergency department (ED), and inpatient care for mental health conditions. Data Collection: Medicaid claims were collected administratively, and interviews were recorded, transcribed, and analyzed using a thematic analysis approach. Principal Findings: The transition to financially integrated care was initially disruptive for behavioral health providers and was associated with a temporary decline in access to outpatient mental health services among enrollees with serious mental illness (SMI), but there were no statistically significant or sustained differences after the first year. Enrollees with SMI also experienced a slight increase in access to primary care (1.8%, 95% CI 1.0%–2.6%), but no sustained statistically significant changes in the use of ED or inpatient services for mental health care. The transition to financially integrated care had relatively little impact on primary care providers, with few changes for enrollees with mild, moderate, or no mental illness. Conclusions: Financial integration of behavioral and physical health in Medicaid managed care did not appear to drive clinical transformation and was disruptive to behavioral health providers. States moving towards "carve‐in" models may need to incorporate support for practice transformation or financial incentives to achieve the benefits of coordinated mental and physical health care. [ABSTRACT FROM AUTHOR]

Purpose: Practice facilitation is an evidence-informed implementation strategy to support quality improvement (QI) and aid practices in aligning with best evidence. Few studies, particularly of this size and scope, identify strategies that contribute to facilitator effectiveness.Methods: We conducted a sequential mixed methods study, analyzing data from EvidenceNOW, a large-scale QI initiative. Seven regional cooperatives employed 162 facilitators to work with 1,630 small or medium-sized primary care practices. Main analyses were based on facilitators who worked with at least 4 practices. Facilitators were defined as more effective if at least 75% of their practices improved on at least 1 outcome measure-aspirin use, blood pressure control, smoking cessation counseling (ABS), or practice change capacity, measured using Change Process Capability Questionnaire-from baseline to follow-up. Facilitators were defined as less effective if less than 50% of their practices improved on these outcomes. Using an immersion crystallization and comparative approach, we analyzed observational and interview data to identify strategies associated with more effective facilitators.Results: Practices working with more effective facilitators had a 3.6% greater change in the mean percentage of patients meeting the composite ABS measure compared with practices working with less effective facilitators (P <.001). More effective facilitators cultivated motivation by tailoring QI work and addressing resistance, guided practices to think critically, and provided accountability to support change, using these strategies in combination. They were able to describe their work in detail. In contrast, less effective facilitators seldom used these strategies and described their work in general terms. Facilitator background, experience, and work on documentation did not differentiate between more and less effective facilitators.Conclusions: Facilitation strategies that differentiate more and less effective facilitators have implications for enhancing facilitator development and training, and can assist all facilitators to more effectively support practice changes. [ABSTRACT FROM AUTHOR]

Purpose: We undertook a study to identify conditions and operational changes linked to improvements in smoking and blood pressure (BP) outcomes in primary care.Methods: We purposively sampled and interviewed practice staff (eg, office managers, clinicians) from a subset of 104 practices participating in EvidenceNOW-a multisite cardiovascular disease prevention initiative. We calculated Clinical Quality Measure improvements, with targets of 10-point or greater absolute improvements in the proportion of patients with smoking screening and, if relevant, counseling and in the proportion of hypertensive patients with adequately controlled BP. We analyzed interview data to identify operational changes, transforming these into numeric data. We used Configurational Comparative Methods to assess the joint effects of multiple factors on outcomes.Results: In clinician-owned practices, implementing a workflow to routinely screen, counsel, and connect patients to smoking cessation resources, or implementing a documentation change or a referral to a resource alone led to an improvement of at least 10 points in the smoking outcome with a moderate level of facilitation support. These patterns did not manifest in health- or hospital system-owned practices or in Federally Qualified Health Centers, however. The BP outcome improved by at least 10 points among solo practices after medical assistants were trained to take an accurate BP. Among larger, clinician-owned practices, BP outcomes improved when practices implemented a second BP measurement when the first was elevated, and when staff learned where to document this information in the electronic health record. With 50 hours or more of facilitation, BP outcomes improved among larger and health- and hospital system-owned practices that implemented these operational changes.Conclusions: There was no magic bullet for improving smoking or BP outcomes. Multiple combinations of operational changes led to improvements, but only in specific contexts of practice size and ownership, or dose of external facilitation. [ABSTRACT FROM AUTHOR]

Primary care practices often engage in quality improvement (QI) in order to stay current and meet quality benchmarks, but the extent to which turnover affects practices' QI ability is not well described. The authors examined qualitative data from practice staff and external facilitators participating in a large-scale QI initiative to understand the relationship between turnover and QI efforts. The examination found turnover can limit practices' ability to engage in QI activities in various ways. When a staff member leaves, remaining staff often absorb additional responsibilities, and QI momentum slows as new staff are trained or existing staff are reengaged. Turnover alters staff dynamics and can create barriers to constructive working relationships and team building. When key practice members leave, they can take with them institutional memory about QI purpose, processes, and long-term vision. Understanding how turnover affects QI may help practices, and those helping them with QI, manage the disruptive effects of turnover. [ABSTRACT FROM AUTHOR]

Integrating primary care and behavioral health is an important focus of health system transformation. Cross-case comparative analysis of 19 practices in the United States describing integrated care clinical workflows. Surveys, observation visits, and key informant interviews analyzed using immersion-crystallization. Staff performed tasks and behaviors--guided by protocols or scripts--to support 4 workflow phases: (1) identifying; (2) engaging/transitioning; (3) providing treatment; and (4) monitoring/adjusting care. Shared electronic health records and accessible staffing/scheduling facilitated workflows. Stakeholders should consider these workflow phases, address structural features, and utilize a developmental approach as they operationalize integrated care delivery. [ABSTRACT FROM AUTHOR]

Integrated behavioral health and primary care is a patient-centered approach designed to address a person's physical, emotional, and social healthcare needs. Increasingly, practices are integrating care to help achieve the Quadruple Aim, yet no studies have examined, using qualitative methods, patients' experiences of care in integrated settings. The purpose of this study was to examine patients' experiences of care in community- based settings integrating behavioral health and primary care. This is a qualitative study of 24 patients receiving care across five practices participating in Advancing Care Together (ACT). ACT was a 4-year demonstration project (2010-2014) of primary care and community mental health centers (CMHCs) integrating care. We conducted in-depth interviews in 2014 and a multidisciplinary team analyzed data using an inductive qualitative descriptive approach. Nineteen patients described receiving integrated care. Both primary care and CMHC patients felt cared for when the full spectrum of their needs, including physical, emotional, and social circumstances, were addressed. Patients perceived personal, interpersonal, and organizational benefits from integrated care. Interactions with integrated team members helped patients develop and/or improve coping skills; patients shared lessons learned with family and friends. Service proximity, provider continuity and trust, and a number of free initial behavioral health appointments supported patient access to, and engagement with, integrated care. In contrast, patients' prior experience, provider "mismatch," clinician turnover, and restrictive insurance coverage presented barriers in accessing and sustaining care. Patients in both primary care and CMHCs perceived similar benefits from integrated care related to personal growth, improved quality, and access to care. Policy makers and practice leadership should attend to proximity, continuity, trust, and cost/coverage as factors that can impede or facilitate engagement with integrated care. [ABSTRACT FROM AUTHOR]

Purpose: Improving primary care quality is a national priority, but little is known about the extent to which small to medium-size practices use quality improvement (QI) strategies to improve care. We examined variations in use of QI strategies among 1,181 small to medium-size primary care practices engaged in a national initiative spanning 12 US states to improve quality of care for heart health and assessed factors associated with those variations.Methods: In this cross-sectional study, practice characteristics were assessed by surveying practice leaders. Practice use of QI strategies was measured by the validated Change Process Capability Questionnaire (CPCQ) Strategies Scale (scores range from -28 to 28, with higher scores indicating more use of QI strategies). Multivariable linear regression was used to examine the association between practice characteristics and the CPCQ strategies score.Results: The mean CPCQ strategies score was 9.1 (SD = 12.2). Practices that participated in accountable care organizations and those that had someone in the practice to configure clinical quality reports from electronic health records (EHRs), had produced quality reports, or had discussed clinical quality data during meetings had higher CPCQ strategies scores. Health system-owned practices and those experiencing major disruptive changes, such as implementing a new EHR system or clinician turnover, had lower CPCQ strategies scores.Conclusion: There is substantial variation in the use of QI strategies among small to medium-size primary care practices across 12 US states. Findings suggest that practices may need external support to strengthen their ability to do QI and to be prepared for new payment and delivery models. [ABSTRACT FROM AUTHOR]

Little is known about how health care organizations are developing tools for identifying/addressing patients' social determinants of health (SDH). We describe the processes recently used by 6 organizations to develop SDH screening tools for ambulatory care and the barriers they faced during those efforts. Common processes included reviewing literature and consulting primary care staff. The organizations prioritized avoiding redundant data collection, integrating SDH screening into existing workflows, and addressing diverse clinic needs. This article provides suggestions for others hoping to develop similar tools/strategies for identifying patients' SDH needs in ambulatory care settings, with recommendations for further research. [ABSTRACT FROM AUTHOR]

Background: Intervention toolkits are common products of grant-funded research in public health and primary care settings. Toolkits are designed to address the knowledge translation gap by speeding implementation and dissemination of research into practice. However, few studies describe characteristics of effective intervention toolkits and their implementation. Therefore, we conducted this study to explore what clinic and community-based users want in intervention toolkits and to identify the factors that support application in practice.Methods: In this qualitative descriptive study we conducted focus groups and interviews with a purposive sample of community health coalition members, public health experts, and primary care professionals between November 2010 and January 2012. The transdisciplinary research team used thematic analysis to identify themes and a cross-case comparative analysis to explore variation by participant role and toolkit experience.Results: Ninety six participants representing primary care (n = 54, 56%) and community settings (n = 42, 44%) participated in 18 sessions (13 focus groups, five key informant interviews). Participants ranged from those naïve through expert in toolkit development; many reported limited application of toolkits in actual practice. Participants wanted toolkits targeted at the right audience and demonstrated to be effective. Well organized toolkits, often with a quick start guide, with tools that were easy to tailor and apply were desired. Irrespective of perceived quality, participants experienced with practice change emphasized that leadership, staff buy-in, and facilitative support was essential for intervention toolkits to be translated into changes in clinic or public -health practice.Conclusions: Given the emphasis on toolkits in supporting implementation and dissemination of research and clinical guidelines, studies are warranted to determine when and how toolkits are used. Funders, policy makers, researchers, and leaders in primary care and public health are encouraged to allocate resources to foster both toolkit development and implementation. Support, through practice facilitation and organizational leadership, are critical for translating knowledge from intervention toolkits into practice. [ABSTRACT FROM AUTHOR]

Background: The Agency for Healthcare Research and Quality (AHRQ) launched the EvidenceNOW Initiative to rapidly disseminate and implement evidence-based cardiovascular disease (CVD) preventive care in smaller primary care practices. AHRQ funded eight grantees (seven regional Cooperatives and one independent national evaluation) to participate in EvidenceNOW. The national evaluation examines quality improvement efforts and outcomes for more than 1500 small primary care practices (restricted to those with fewer than ten physicians per clinic). Examples of external support include practice facilitation, expert consultation, performance feedback, and educational materials and activities. This paper describes the study protocol for the EvidenceNOW national evaluation, which is called Evaluating System Change to Advance Learning and Take Evidence to Scale (ESCALATES).Methods: This prospective observational study will examine the portfolio of EvidenceNOW Cooperatives using both qualitative and quantitative data. Qualitative data include: online implementation diaries, observation and interviews at Cooperatives and practices, and systematic assessment of context from the perspective of Cooperative team members. Quantitative data include: practice-level performance on clinical quality measures (aspirin prescribing, blood pressure and cholesterol control, and smoking cessation; ABCS) collected by Cooperatives from electronic health records (EHRs); practice and practice member surveys to assess practice capacity and other organizational and structural characteristics; and systematic tracking of intervention delivery. Quantitative, qualitative, and mixed methods analyses will be conducted to examine how Cooperatives organize to provide external support to practices, to compare effectiveness of the dissemination and implementation approaches they implement, and to examine how regional variations and other organization and contextual factors influence implementation and effectiveness.Discussion: ESCALATES is a national evaluation of an ambitious large-scale dissemination and implementation effort focused on transforming smaller primary care practices. Insights will help to inform the design of national health care practice extension systems aimed at supporting practice transformation efforts in the USA.Clinical Trial Registration: NCT02560428 (09/21/15). [ABSTRACT FROM AUTHOR]

The article presents a study which examines the implementation of coordinated care to address health behavior change needs of patients in primary care. Data from the site visit, documents, interviews, and online implementation diaries from practice-based research networks (PBRNs) were collected and a cross-case comparative analysis was conducted. Results show that in-practice health risk assessment (HRA) and brief counseling, coupled with referral and outreach are the best counseling approach.

The adoption of electronic medical records (EMRs) in ambulatory settings has been widely recommended. It is hoped that EMRs will improve care; however, little is known about the effect of EMR use on care quality in this setting. This study compares EMR versus paper medical record documentation of basic health history and preventive service indicators in 47 community-based practices. Differences in practice-level documentation rates between practices that did and did not use an EMR were examined using the Kruskal—Wallis nonparametric test and robust regression, adjusting for practice-level covariates. Frequency of documentation of health history and preventive service indicator items were similar in the 2 groups of practices. Although EMRs provide the capacity for more robust record keeping, the community-based practices here do not use EMRs to their full capacity. EMR usage does not guarantee more systematic record keeping and thus may not lead to improved quality in the community practice setting. [ABSTRACT FROM PUBLISHER]

The article focuses on a team-based change management strategy in primary care through Using Learning Teams for Reflective Adaptation (ULTRA) study. It states that study used facilitated reflective adaptive process (RAP) teams to enhance communication and decision making. It states that there were improved practicewide communication in 12 of these practices.

This study examines the Chronic Care Model (CCM) as a framework for preventing health risk behaviors such as tobacco use, risky drinking, unhealthy dietary patterns, and physical inactivity. Data were obtained from primary care practices participating in a national health promotion initiative sponsored by the Robert Wood Johnson Foundation. Practices owned by a hospital health system and exhibiting a culture of quality improvement were more likely to offer recommended services such as health risk assessment, behavioral counseling, and referral to community-based programs. Practices that had a multispecialty physician staff and staff dieticians, decision support in the form of point-of-care reminders and clinical staff meetings, and clinical information systems such as electronic medical records were also more likely to offer recommended services. Adaptation of the CCM for preventive purposes may offer a useful framework for addressing important health risk behaviors. [ABSTRACT FROM AUTHOR]

Background: This study aimed to elucidate how clinical preventive services are delivered in family practices and how this information might inform improvement efforts.Methods: We used a comparative case study design to observe clinical preventive service delivery in 18 purposefully selected Midwestern family medicine offices from 1997 to 1999. Medical records, observation of outpatient encounters, and patient exit cards were used to calculate practice-level rates of delivery of clinical preventive services. Field notes from direct observation of clinical encounters and prolonged observation of the practice and transcripts from in-depth interviews of practice staff and physicians were systematically examined to identify approaches to delivering clinical preventive services recommended by the US Preventive Services Task Force.Results: Practices developed individualized approaches for delivering clinical preventive services, with no one approach being successful across practices. Clinicians acknowledged a 3-fold mission of providing acute care, managing chronic problems, and prevention, but only some made prevention a priority. The clinical encounter was a central focus for preventive service delivery in all practices. Preventive services delivery rates often appeared to be influenced by competing demands within the clinical encounter (including between different preventive services), having a physician champion who prioritized prevention, and economic concerns.Conclusions: Practice quality improvement efforts that assume there is an optimal approach for delivering clinical preventive services fail to account for practices' propensity to optimize care processes to meet local contexts. Interventions to enhance clinical preventive service delivery should be tailored to meet the local needs of practices and their patient populations. [ABSTRACT FROM AUTHOR]

PURPOSE Our objective was to identify themes that emerged from the evaluation of 17 interventions funded by the Robert Wood Johnson Foundation's Prescription for Health that aimed to enhance adherence to healthy behaviors in the primary care setting. METHODS We performed a content analysis of diary data from this 16-month initiative. Other data sources used to complement this analysis include funded grant applications and field notes from interviews with investigative teams and a limited number of site visits. Participants were 17 practice-based research networks (PBRNs) that had projects funded during Round 1 of Prescription for Health. RESULTS Five themes emerged regarding implementation of health behavior change: (1) health behavior change resources are enthusiastically received by practices and patients, and when given a choice, patients prefer methods of assistance that involve personal contact; (2) practice extenders require extensive training, as well as careful case management and support, in order to function fully and avoid burnout; (3) integrating behavior change tools into the primary care setting requires time, effort, and often specialized expertise; (4) even simple interventions require practice change, and use of a practice change model to guide implementation efforts is crucial; and (5) research philosophy and project management approaches vary across PBRNs and have implications for the potential sustainability of an intervention. CONCLUSIONS A more versatile, multifaceted solution involving new tools, technologies, and multidisciplinary care teams is needed in order to integrate health behavior change into everyday primary care routines. Even the best interventions require a model to articulate how to integrate an innovation into practices. [ABSTRACT FROM AUTHOR]

Background: The use of implementation strategies is an active and purposive approach to translate research findings into routine clinical care. The Expert Recommendations for Implementing Change (ERIC) identified and defined discrete implementation strategies, and Proctor and colleagues have made recommendations for specifying operationalization of each strategy. We use empirical data to test how the ERIC taxonomy applies to a large dissemination and implementation initiative aimed at taking cardiac prevention to scale in primary care practice.Methods: EvidenceNOW is an Agency for Healthcare Research and Quality initiative that funded seven cooperatives across seven regions in the USA. Cooperatives implemented multi-component interventions to improve heart health and build quality improvement capacity, and used a range of implementation strategies to foster practice change. We used ERIC to identify cooperatives' implementation strategies and specified the actor, action, target, dose, temporality, justification, and expected outcome for each. We mapped and compiled a matrix of the specified ERIC strategies across the cooperatives, and used consensus to resolve mapping differences. We then grouped implementation strategies by outcomes and justifications, which led to insights regarding the use of and linkages between ERIC strategies in real-world scale-up efforts.Results: Thirty-three ERIC strategies were used by cooperatives. We identified a range of revisions to the ERIC taxonomy to improve the practical application of these strategies. These proposed changes include revisions to four strategy names and 12 definitions. We suggest adding three new strategies because they encapsulate distinct actions that were not described in the existing ERIC taxonomy. In addition, we organized ERIC implementation strategies into four functional groupings based on the way we observed them being applied in practice. These groupings show how ERIC strategies are, out of necessity, interconnected, to achieve the work involved in rapidly taking evidence to scale.Conclusions: Findings of our work suggest revisions to the ERIC implementation strategies to reflect their utilization in real-work dissemination and implementation efforts. The functional groupings of the ERIC implementation strategies that emerged from on-the-ground implementers will help guide others in choosing among and linking multiple implementation strategies when planning small- and large-scale implementation efforts.Trial Registration: Registered as Observational Study at www.clinicaltrials.gov ( NCT02560428 ). [ABSTRACT FROM AUTHOR]

Objective: Situations with potential to motivate positive change in unhealthy behavior have been called ‘teachable moments’. Little is known about how they occur in the primary care setting. Methods: Cross-sectional observational design. Audio-recordings collected during 811 physician–patient interactions for 28 physicians and their adult patients were analyzed using conversation analysis. Results: Teachable moments were observed in 9.8% of the cases, and share three features: (1) the presence of a concern that is salient to the patient that is either obviously relevant to an unhealthy behavior, or through conversation comes to be seen as relevant; (2) a link that is made between the patient''s salient concern and a health behavior that attempts to motivate the patient toward change; and (3) a patient response indicating a willingness to discuss and commit to behavior change. Additionally, we describe phenomena related to, but not teachable moments, including teachable moment attempts, missed opportunities, and health behavior advice. Conclusions: Success of the teachable moment rests on the physician''s ability to identify and explore the salience of patient concerns and recognize opportunities to link them with unhealthy behaviors. Practice implications: The skills necessary for accomplishing teachable moments are well within the grasp of primary care physicians. [Copyright &y& Elsevier]

Background: Understanding the process by which research is translated into practice is limited. This study sought to examine how interventions change during implementation. Methods: Data were collected from July 2005 to September 2007. A real-time and cross-case comparison was conducted, examining ten interventions designed to improve health promotion in primary care practices in practice-based research networks. An iterative group process was used to analyze qualitative data (survey data, interviews, site visits, and project diary entries made by grantees approximately every 2 weeks) and to identify intervention adaptations reported during implementation. Results: All interventions required changes as they were integrated into practice. Modifications differed by project and by practice, and were often unanticipated. Three broad categories of changes were identified and include modifications undertaken to accommodate practices'' and patients'' circumstances as well as personnel costs. In addition, research teams played a crucial role in fostering intervention uptake through their use of personal influence and by providing motivation, retraining, and instrumental assistance to practices. These efforts by the research teams, although rarely considered an essential component of the intervention, were an active ingredient in successful implementation and translation. Conclusions: Changes are common when interventions are implemented into practice settings. The translation of evidence into practice will be improved when research design and reporting standards are modified to help quality-improvement teams understand both these adaptations and the effort required to implement interventions in practice. [Copyright &y& Elsevier]

Background: There is little empirical evidence to show that a practice-level approach that includes identifying patients in need of health behavior advice and linking them to counseling resources either in the practice or in the community results in improvements in patients'' behaviors. This study examined whether patients in primary care practices that had practice-level approaches for physical activity and healthy-diet counseling were more likely to have healthier behaviors than patients in practices without practice-level approaches. Methods: A cross-sectional study of 54 primary care practices was conducted from July 2005 to January 2007. Practices were categorized into four groups depending on whether they had both identification tools (health risk assessment, registry) and linking strategies (within practice or to community resources); identification tools but no linking strategies; linking strategies but no identification tools; or neither identification tools nor linking strategies. Results: Controlling for patient and practice characteristics, practices that had both identification tools and linking strategies for physical activity counseling were 80% more likely (95% CI=1.25, 2.59) to have patients who reported exercising regularly compared to practices that lacked both. Also, practices that had either identification tools or linking strategies but not both were approximately 50% more likely to have patients who reported exercising regularly. The use of a greater number of practice-level approaches for physical activity counseling was associated with higher odds of patients'' reporting exercising regularly (p for trend=0.0002). Use of identification tools and linking strategies for healthy-eating counseling was not associated with patients'' reports of healthy diets. Conclusions: This study suggests that practice-level approaches may enable primary care practices to help patients improve physical activity. However, these approaches may have different effects on different behaviors, and merit further research to determine if causal pathways exist and, if so, how they should be applied. [Copyright &y& Elsevier]

Background: Primary care practices able to create linkages with community resources may be more successful at helping patients to make and sustain health behavior changes. Methods: Health behavior-change interventions in eight practice-based research networks were examined. Data were collected July 2005–October 2007. A comparative analysis of the data was conducted to identify and understand strategies used for linking primary care practices with community resources. Results: Intervention practices developed three strategies to initiate and/or implement linkages with community resources: pre-identified resource options, referral guides, and people external to the practice who offered support and connection to resources. To initiate linkages, practices required the capacity to identify patients, make referrals, and know area resources. Linkage implementation could still be defeated if resources were not available, accessible, affordable, and perceived as valuable. Linkages were facilitated by boundary-spanning strategies that compensated for the lack of infrastructure between practices and resources, and by brokering strategies that identified interested community partners and aided mutually beneficial connections with them. Linkages were stronger when they incorporated practice or resource abilities to motivate the patient, such as brief counseling or postreferral outreach. Further, data suggested that sustaining linkages requires continuous attention and ongoing communication between practices and resources. Conclusions: Creating linkages between primary care practices and community resources has the potential to benefit both patients and clinicians and to lessen the burden on the U.S. healthcare system resulting from poor health behaviors. Infrastructure support and communication systems must be developed to foster sustainable linkages between practices and local resources. [Copyright &y& Elsevier]

Health-related behavioral counseling can and should be a central offering in the medical home. Primary care practices currently address unhealthy behaviors with their patients, but most practices lack the integrated approaches needed to effectively change these behaviors. Revisions in practice and financing are necessary to fully realize this capacity, which could affect the millions of patients served by the largest health care delivery platform in the United States. [ABSTRACT FROM AUTHOR]

Introduction: Cardiovascular disease preventive services (aspirin use, blood pressure control, and smoking-cessation support) are crucial to controlling cardiovascular diseases. This study draws from 1,248 small-to-medium-sized primary care practices participating in the EvidenceNOW Initiative from 2015-2016 across 12 states to provide practice-level aspirin use, blood pressure control, and smoking-cessation support estimates; report the percentage of practices that meet Million Hearts targets; and identify the practice characteristics associated with better performance.Methods: This cross-sectional study utilized linear regression modeling (analyzed in 2020-2021) to examine the association of aspirin use, blood pressure control, and smoking-cessation support performance with practice characteristics that included structural attributes (e.g., size, ownership, rurality), practice capacity and contextual characteristics, health information technology, and patient panel demographics.Results: On average, practice performance on aspirin use, blood pressure control, and smoking-cessation support quality measures was 64% for aspirin, 63% for blood pressure, and 62% for smoking-cessation support. The 2012 Million Hearts goal of achieving the rates of 70% was achieved by 52% (aspirin), 32% (blood pressure), and 54% (smoking) of practices. Practice characteristics associated with aspirin use, blood pressure control, and smoking-cessation support performance included ownership (hospital/health system-owned practices had 11% higher aspirin performance than clinician-owned practices [p=0.001]), rurality (rural practices had lower performance than urban practices in all aspirin use, blood pressure control, and smoking-cessation support quality metrics [difference in aspirin=11.1%, p=0.001; blood pressure=4.2%, p=0.022; smoking=14.4%, p=0.009]), and disruptions (practices that experienced >1 major disruption showed lower aspirin performance [-7.1%, p<0.001]).Conclusions: Achieving the Million Hearts targets may be assisted by collecting and reporting practice-level performance, which can promote change at the practice level and identify areas where additional support is needed to achieve initiative goals. [ABSTRACT FROM AUTHOR]

Background: Two primary care clinics implemented an opioid use disorder (OUD) treatment program that integrates behavioral health counseling with buprenorphine treatment and uses tiers. This project aimed to understand how patients moved through tiers in this program. Method: We purposively sampled 20 patients with at least 10 OUD-related treatment visits; we documented tier changes at all visits between September 1, 2016 and December 31, 2018 using a standard data collection instrument. These data were used to construct run-charts. Results: About 45% of sampled patients had at least one relapse noted and 60% of patients dropped in tier during the study. Reductions in tier often happened when the patient was navigating difficult psychosocial situations in their life, whereas increases in tier often accompanied positive life events. We also found variation in use of the tiers. Discussion: OUD treatment from two clinics by tier illustrates that recovery is an individualized process based on patient need that can fluctuate due to psychosocial triggers and significant life events. Having tiers can guide treatment and provide both clinicians and patients with information about what to expect during treatment while still allowing the flexibility to meet patients where they are. (PsycInfo Database Record (c) 2021 APA, all rights reserved). [ABSTRACT FROM AUTHOR]

Abstract: Objective: Teachable moments (TM) are opportunities created through physician–patient interaction and used to encourage patients to change unhealthy behaviors. We examine the effectiveness of TMs to increase patients’ recall of advice, motivation to modify behavior, and behavior change. Methods: A mixed-method observational study of 811 patient visits to 28 primary care clinicians used audio-recordings of visits to identify TMs and other types of advice in health behavior change talk. Patient surveys assessed smoking, exercise, fruit/vegetable consumption, height, weight, and readiness for change prior to the observed visit and 6-weeks post-visit. Results: Compared to other identified categories of advice (i.e. missed opportunities or teachable moment attempts), recall was greatest after TMs occurred (83% vs. 49–74%). TMs had the greatest proportion of patients change in importance and confidence and increase readiness to change; however differences were small. TMs had greater positive behavior change scores than other categories of advice; however, this pattern was statistically non-significant and was not observed for BMI change. Conclusion: TMs have a greater positive influence on several intermediate markers of patient behavior change compared to other categories of advice. Practice implications: TMs show promise as an approach for clinicians to discuss behavior change with patients efficiently and effectively. [Copyright &y& Elsevier]

Introduction: Buprenorphine, a medication for opioid use disorder (OUD), can be administered within primary care; however, little is known about characteristics associated with retention on buprenorphine in these settings. This study examines patient correlates of buprenorphine retention and whether an integrated, interdisciplinary treatment model (buprenorphine and behavioral health) is associated with higher odds of buprenorphine retention than a primarily medication-only treatment model.Methods: Electronic health record data from adult patients with an OUD, ≥1 buprenorphine order and ≥1 visit to either of two primary care clinics between 9/2/2014-6/27/2018 were extracted (N = 494 patients). Two research team members reviewed the medication start and stop dates for each buprenorphine order and classified as retained (≥6 months of orders) or not retained (<6 months of orders). Logistic regressions estimated the odds of retention on buprenorphine by 1) patient characteristics and 2) timing of patient's engagement in buprenorphine treatment (pre- or post-implementation of an integrated treatment model).Results: Of the study sample, 53% had ≥6 months of buprenorphine orders. Almost two times higher odds of retention were found among patients with ≥1 psychiatric comorbidity (versus none) and among those with buprenorphine orders in the post- versus pre-period.Conclusions: An integrated, interdisciplinary model of OUD treatment was associated with ≥6 months of buprenorphine orders among our study population. Continued research is needed in real-world primary care settings to understand the impact of OUD treatment models on patient outcomes. A more nuanced examination of the associations between psychiatric diagnoses and buprenorphine treatment retention is warranted. [ABSTRACT FROM AUTHOR]

Background: While visits to the doctor’s office are appropriate times to advise patients on health behaviors, these opportunities are often missed. Lapses in care quality are no longer attributed solely to individuals, but are also increasingly understood to be the result of organizational factors. This research examines the influence that both practice and provider attributes have on the delivery of preventive services for health behaviors. Methods: This study used data collected from the Prescription for Health initiative sponsored by the Robert Wood Johnson Foundation. Quantitative data on 52 primary care practices and 318 healthcare providers were gathered from September 2003 to September 2004, and were analyzed upon completion of data collection. Hierarchical linear modeling was used to examine associations between both practice and provider attributes and preventive service delivery. Results: Practice staff participation in decisions regarding quality improvement, practice change, and clinical operations positively influenced the effect of work relationships and negatively influenced the effect of practice size on service delivery. Nurse practitioners and allied health professionals reported more frequent delivery of services compared to physicians. Last, use of reminder systems and patient registries were positively associated with preventive service delivery. Conclusions: This study offers preliminary support for staff participation in practice decisions as a positive aspect of teamwork and collaboration. Findings also suggest leveraging nonphysician clinical staff and organized clinical systems to improve the delivery of preventive services for health behaviors. [Copyright &y& Elsevier]