Integrating Behavioral Health and Primary Care: Turning a Duet Into a Trio.

Family physicians are at the front lines of mental health concerns and distress, yet often feel stymied in their attempts to fully support patients' biopsychosocial needs within the barriers of a fragmented health care system. This article describes a practice transformation designed to facilitate more empowered care experiences. We reflect on our interdisciplinary work as a family physician and a behavioral health consultant working closely together in a Primary Care Behavioral Health model within a university setting. We describe our collaborative approach to a composite character from clinical practice: a college student with symptoms of psychomotor depression who screened negative for mood and anxiety concerns. Akin to a musical ensemble, wherein the inclusion of each voice turns a solo into a symphony, we describe key details of interdisciplinary collaboration which promotes holistic care for patients and fulfilling biopsychosocial practice for us as colleagues.

Opportunities to improve measurement-based care practices in mental health care systems: A case example of electronic mental health screening and measurement.

INTRODUCTION: Measurement-based care (MBC) involves the systematic collection of data to inform clinical decision-making and monitor treatment outcomes. In addition to benefitting patients and providers, data on MBC implementation can also be used to inform quality improvement efforts within existing health care systems. METHOD: The method was retrospective chart review. We collected data on electronic mental health (MH) screens and symptom measures recorded by MH providers. Patients were 28,376 veterans who received MH services in a northeastern region. RESULTS: Although rates varied by MH condition and clinic type, screening for alcohol misuse, depression, and posttraumatic stress disorder appeared to occur with regularity. MH symptom measurement was less frequent than screening but included measures of alcohol and substance use, posttraumatic stress disorder, depression, and suicidal ideation. Patient demographics (e.g., age, military service era, sex, MH diagnosis) and frequency of clinic contact emerged as significant predictors of symptom measurement. DISCUSSION: In this article, we illustrate how data on MH screening and measurement can be organized, analyzed, and interpreted to identify opportunities to enhance MBC practices in MH care. We conclude with a discussion of how large data set analyses can contribute to programmatic MBC initiatives. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Narrative review of provider behavior in primary care behavioral health: How process data can inform quality improvement.

OBJECTIVE: Primary care behavioral health (PCBH) is a population-based approach to delivering mental and behavioral health care in the primary care setting. Implementation of the PCBH model varies across practice settings, which can impact how PCBH providers deliver services to patients and in turn may predict a variety of important outcomes. This article aims to characterize PCBH provider engagement in key processes of integrated care as demonstrated in results from empirical studies of real-world clinical practice. METHOD: For this narrative review of published studies on PCBH provider engagement in processes of care, PubMed and PsycINFO databases were searched from January 1990 through May 2016 to identify relevant articles. RESULTS: Provider adherence to the brief, time-limited treatment model appears suboptimal. Common mental health conditions, such as depression, were often the primary focus of provider attention, with less consistent emphasis on behavioral medicine concerns. Whereas providers regularly conducted qualitative functional assessments with patients, routine use of standardized measures was low. Engagement in interprofessional collaboration with the primary care team was also low, but engagement in behaviors that fostered therapeutic relationships was high. DISCUSSION: This review identified several strengths and weaknesses of typical PCBH provider practices. Results are discussed in relation to their value as areas for future quality improvement initiatives that can improve PCBH service delivery and, ultimately, patient outcomes. (PsycINFO Database Record

Mental health measurement among women veterans receiving co-located, collaborative care services.

Routine use of measurement to identify patient concerns and track treatment progress is critical to high quality patient care. This is particularly relevant to the Primary Care Behavioral Health model, where rapid symptom assessment and effective referral management are critical to sustaining population-based care. However, research suggests that women who receive treatment in co-located collaborative care settings utilizing the PCBH model are less likely to be assessed with standard measures than men in these settings. The current study utilized regional retrospective data obtained from the Veterans Health Administration's electronic medical record system to: (1) explore rates of mental health measurement for women receiving co-located collaborative care services (N = 1008); and (2) to identify predictors of mental health measurement in women veterans in these settings. Overall, only 8% of women had documentation of standard mental health measures. Measurement was predicted by diagnosis, facility size, length of care episode and care setting. Specifically, women diagnosed with depression were less likely than those with anxiety disorders to have standard mental health measurement documented. Several suggestions are offered to increase the quality of mental health care for women through regular use of measurement in integrated care settings.

Provider perceptions of an integrated primary care quality improvement strategy: The PPAQ toolkit.

The Primary Care Behavioral Health (PCBH) model of integrated primary care is challenging to implement with high fidelity. The Primary Care Behavioral Health Provider Adherence Questionnaire (PPAQ) was designed to assess provider adherence to essential model components and has recently been adapted into a quality improvement toolkit. The aim of this pilot project was to gather preliminary feedback on providers' perceptions of the acceptability and utility of the PPAQ toolkit for making beneficial practice changes. Twelve mental health providers working in Department of Veterans Affairs integrated primary care clinics participated in semistructured interviews to gather quantitative and qualitative data. Descriptive statistics and qualitative content analysis were used to analyze data. Providers identified several positive features of the PPAQ toolkit organization and structure that resulted in high ratings of acceptability, while also identifying several toolkit components in need of modification to improve usability. Toolkit content was considered highly representative of the (PCBH) model and therefore could be used as a diagnostic self-assessment of model adherence. The toolkit was considered to be high in applicability to providers regardless of their degree of prior professional preparation or current clinical setting. Additionally, providers identified several system-level contextual factors that could impact the usefulness of the toolkit. These findings suggest that frontline mental health providers working in (PCBH) settings may be receptive to using an adherence-focused toolkit for ongoing quality improvement. (PsycINFO Database Record

Telephone-based motivational interviewing to promote physical activity and stage of change progression in older adults.

This study examined the efficacy of motivational interviewing (MI) for increasing physical activity in aging adults. Eighty-six participants aged 55 years and older were randomly assigned to receive either four weekly sessions of telephone-based MI for increasing physical activity, or a healthy activity living guide (information only control). Changes from baseline weekly caloric expenditure from physical activity, self-efficacy for physical activity, and stage of change for physical activity were compared across groups at posttreatment and six months follow-up. Results indicated that MI participants had higher weekly caloric expenditures from physical activity at posttreatment, but not at six months follow-up; higher self-efficacy for physical activity at six months follow-up; and demonstrated greater stage of change progression across assessments. These findings support the use of telephone-based MI for increasing physical activity in older adults in the short-term. Future studies will need to determine if follow-up booster sessions increase long-term efficacy.

Relationships between health behaviors and weight status in American Indian and white rural children.

PURPOSE: Preventing obesity in childhood is an increasingly important public health goal. Prevention efforts can be improved by better understanding relationships between health behaviors and overweight and obesity. This study examined such relationships in young American Indian and white children living in the rural United States. METHODS: Self-report measures of diet, screen time (passive and active), and physical activity were combined with cardiovascular fitness in cross-sectional analyses to predict weight categories based on body mass index percentiles in 306 American Indian and white children (aged 8-9 years) from a rural area in the upper Midwestern United States. FINDINGS: Multinomial logistic regression models were statistically significant for girls (χ2 [20] = 42.73, P < .01), boys (χ2 [20] = 50.44, P < .001), American Indian (χ2 [20] = 36.67, P < .05), and white children (χ2 [20] = 55.99, P < .001). Obesity was associated with poorer cardiovascular fitness in girls (OR = 0.82), boys (OR = 0.83), American Indian (OR = 0.79), and white children (OR = 0.85), and with passive screen time in girls (OR = 1.69), boys (OR = 2.1), and white children (OR = 1.81). Overweight was associated with passive screen time (OR = 2.24) and inversely with active screen time (OR = 0.54), but only in boys. CONCLUSIONS: Logistic regression models were more successful at predicting obesity than overweight in all groups of participants. Poorer cardiovascular fitness showed the strongest and most consistent association with obesity, but passive screen time was also a significant and important contributor to the prediction of obesity in most prediction models. Prediction models were similar in girls, boys, American Indian, and white children.

Understanding the relationships between body esteem, risk for anorexia nervosa, and domain-dependent decision-making impulsivity in a college sample.

Impulsivity has been suggested to interact with low body esteem to elevate risk for anorexia nervosa. Discounting tasks are unique tools for examining impulsivity. Female college students (N=139) at varying levels of body esteem and risk for anorexia nervosa responded to discounting scenarios depicting opportunities to lose/gain weight and to worsen/improve complexion. Multiple regression analyses were used to examine the relationships between impulsivity and risk for anorexia nervosa and body esteem in four disorder-relevant decision-making contexts. Results indicated that lower decision-making impulsivity predicted lower body esteem levels when the outcome of the task was framed as an opportunity to lose weight. It is suggested that greater self-control regarding weight-loss in women with low body esteem may be problematic, placing them at higher risk for eating- and weight-related problems. Results reiterate the need for continued attention to fostering healthy body esteem and weight-control patterns in women on college campuses.