Changing Patterns of Mental Health Care Use: The Role of Integrated Mental Health Services in Veteran Affairs Primary Care.

OBJECTIVE: Aiming to foster timely, high-quality mental health care for Veterans, VA's Primary Care-Mental Health Integration (PC-MHI) embeds mental health specialists in primary care and promotes care management for depression. PC-MHI and patient-centered medical home providers work together to provide the bulk of mental health care for primary care patients with low-to-moderate-complexity mental health conditions. This study examines whether increasing primary care clinic engagement in PC-MHI services is associated with changes in patient health care utilization and costs. METHODS: We performed a retrospective longitudinal cohort study of primary care patients with identified mental health needs in 29 Southern California VA clinics from October 1, 2008 to September 30, 2013, using electronic administrative data (n = 66,638). We calculated clinic PC-MHI engagement as the proportion of patients receiving PC-MHI services among all primary care clinic patients in each year. Capitalizing on variation in PC-MHI engagement across clinics, our multivariable regression models predicted annual patient use of 1) non-primary care based mental health specialty (MHS) visits, 2) total mental health visits (ie, the sum of MHS and PC-MHI visits), and 3) health care utilization and costs. We controlled for year- and clinic-fixed effects, other clinic interventions, and patient characteristics. RESULTS: Median clinic PC-MHI engagement increased by 8.2 percentage points over 5 years. At any given year, patients treated at a clinic with 1 percentage-point higher PC-MHI engagement was associated with 0.5% more total mental health visits (CI, 0.18% to 0.90%; P = .003) and 1.0% fewer MHS visits (CI, -1.6% to -0.3%; P = .002); this is a substitution rate, at the mean, of 1.5 PC-MHI visits for each MHS visit. There was no PC-MHI effect on other health care utilization and costs. CONCLUSIONS: As intended, greater clinic engagement in PC-MHI services seems to increase realized accessibility to mental health care for primary care patients, substituting PC-MHI for MHS visits, without increasing acute care use or total costs. Thus, PC-MHI services within primary care clinics may improve mental health care value at the patient population level. More research is needed to understand the relationship between clinic PC-MHI engagement and clinical quality of mental health care.

Differences in Depression Care for Men and Women among Veterans with and without Psychiatric Comorbidities.

BACKGROUND: Depression is common among primary care patients, affecting more women than men. Women veterans are an extreme but growing minority among patients seeking care from the Department of Veterans Affairs (VA), an organization historically designed to serve men. Little is known about gender differences in depression care quality within the VA primary care population. PURPOSE: This works assesses the gender differences in depression care among veterans using longitudinal electronic measures. METHODS: We undertook a cross-sectional study of all veteran VA primary care users with a new episode of depression from federal fiscal year 2010, covering nine geographically diverse regions. We assessed the quality of depression care based on receipt of minimally appropriate depression treatment within 1 year of a new episode of depression and on receipt of depression-related follow-up visits within 180 days. Minimally appropriate treatment and follow-up were operationalized as meeting or exceeding a minimally appropriate threshold for care, based on national quality measures and expert panel consensus. Regression models were used to produce predicted probabilities for each process outcome accounting for the presence or absence of other psychiatric comorbidities. All models were adjusted for model covariates and clinic clusters (404 sites). MAIN FINDINGS: In 2010, 110,603 veterans with a primary care visit had a new episode of depression; 10,094 (9%) were women. In multivariate analyses, women had modest yet significantly higher rates of minimally appropriate depression treatment than men, whether patients had depression only (79% of women vs. 76% of men; p < .001) or depression along with other psychiatric comorbidities (92% of women vs. 91% or men; p < .001). There were no significant gender differences for rate of receipt of follow-up for depression at 180 days. Interactions between gender and other psychiatric comorbidities were not significant. CONCLUSIONS: Our findings suggest that the VA is achieving comparable depression care between genders at minimally appropriate thresholds.

Depression Quality of Care: Measuring Quality over Time Using VA Electronic Medical Record Data.

BACKGROUND: The Veterans Health Administration (VA) has invested substantially in evidence-based mental health care. Yet no electronic performance measures for assessing the level at which the population of Veterans with depression receive appropriate care have proven robust enough to support rigorous evaluation of the VA's depression initiatives. OBJECTIVE: Our objectives were to develop prototype longitudinal electronic population-based measures of depression care quality, validate the measures using expert panel judgment by VA and non-VA experts, and examine detection, follow-up and treatment rates over a decade (2000-2010). We describe our development methodology and the challenges to creating measures that capture the longitudinal course of clinical care from detection to treatment. DESIGN AND PARTICIPANTS: Data come from the National Patient Care Database and Pharmacy Benefits Management Database for primary care patients from 1999 to 2011, from nine Veteran Integrated Service Networks. MEASURES: We developed four population-based quality metrics for depression care that incorporate a 6-month look back and 1-year follow-up: detection of a new episode of depression, 84 and 180 day follow-up, and minimum appropriate treatment 1-year post detection. Expert panel techniques were used to evaluate the measure development methodology and results. Key challenges to creating valid longitudinal measures are discussed. KEY RESULTS: Over the decade, the rates for detection of new episodes of depression remained stable at 7-8 %. Follow-up at 84 and 180 days were 37 % and 45 % in 2000 and increased to 56 % and 63 % by 2010. Minimum appropriate treatment remained relatively stable over the decade (82-84 %). CONCLUSIONS: The development of valid longitudinal, population-based quality measures for depression care is a complex process with numerous challenges. If the full spectrum of care from detection to follow-up and treatment is not captured, performance measures could actually mask the clinical areas in need of quality improvement efforts.

Determinants of readiness for primary care-mental health integration (PC-MHI) in the VA Health Care System.

BACKGROUND: Depression management can be challenging for primary care (PC) settings. While several evidence-based models exist for depression care, little is known about the relationships between PC practice characteristics, model characteristics, and the practice's choices regarding model adoption. OBJECTIVE: We examined three Veterans Affairs (VA)-endorsed depression care models and tested the relationships between theoretically-anchored measures of organizational readiness and implementation of the models in VA PC clinics. DESIGN: 1) Qualitative assessment of the three VA-endorsed depression care models, 2) Cross-sectional survey of leaders from 225 VA medium-to-large PC practices, both in 2007. MAIN MEASURES: We assessed PC readiness factors related to resource adequacy, motivation for change, staff attributes, and organizational climate. As outcomes, we measured implementation of one of the VA-endorsed models: collocation, Translating Initiatives in Depression into Effective Solutions (TIDES), and Behavioral Health Lab (BHL). We performed bivariate and, when possible, multivariate analyses of readiness factors for each model. KEY RESULTS: Collocation is a relatively simple arrangement with a mental health specialist physically located in PC. TIDES and BHL are more complex; they use standardized assessments and care management based on evidence-based collaborative care principles, but with different organizational requirements. By 2007, 107 (47.5 %) clinics had implemented collocation, 39 (17.3 %) TIDES, and 17 (7.6 %) BHL. Having established quality improvement processes (OR 2.30, [1.36, 3.87], p = 0.002) or a depression clinician champion (OR 2.36, [1.14, 4.88], p = 0.02) was associated with collocation. Being located in a VA regional network that endorsed TIDES (OR 8.42, [3.69, 19.26], p < 0.001) was associated with TIDES implementation. The presence of psychologists or psychiatrists on PC staff, greater financial sufficiency, or greater spatial sufficiency was associated with BHL implementation. CONCLUSIONS: Both readiness factors and characteristics of depression care models influence model adoption. Greater model simplicity may make collocation attractive within local quality improvement efforts. Dissemination through regional networks may be effective for more complex models such as TIDES.

Explaining differences in operating costs among poison control centers: an exploratory study.

OBJECTIVES: To explore the effects of population, staffing, location, and funding on cost per human poison exposure call; and organizational characteristics differentiating higher- and lower-cost centers. METHODS: Data from 65 poison control centers (2001) were analyzed with linear multiple regression; qualitative data from 10 centers were compared. RESULTS: The most important predictor of expenses per call was 24-hour coverage by Specialists in Poison Information ($15.70 of $40.53/call). Other factors increasing total expenses included northeast location and more health educator FTEs. Qualitative information revealed that more complex organizational forms, including multiple reporting and accountability relationships, characterized higher-cost centers. Surprisingly, having a wider range of reported activities (less specialization) was more common among lower-cost centers. CONCLUSIONS: Wide variability in cost per call suggests that inefficiencies exist. While elimination of inefficient poison control centers could reduce costs, the loss of training and collaborative opportunities, and preparedness for public health emergencies and bio-terrorism events, might mitigate against such restructuring.

The effects of leadership and governance processes on member participation in community health coalitions.

This study examines the effects of coalition leadership and governance on member participation in voluntary community health coalitions. Path modeling was used to explore how leadership and governance processes in coalitions affect existing member costs, benefits, and levels of participation. It was hypothesized that the effects of coalition decision making and leadership variables would be indirect by working through their effects on participants' perceived influence over coalition decision making and on overall consensus around the coalition vision. Results of the analysis indicate that open and collaborative decision making and empowering leadership do have indirect, positive effects on the level of participation by way of vision consensus and participation benefits. Participation costs, however, show no significant direct effect on the level of participation. Perceived personal influence appears to be primarily an outcome of participation rather than an antecedent.

Sustainability of collaborative capacity in community health partnerships.

Sustainability is a key requirement for partnership success and a major challenge for such organizations. Despite the critical importance of sustainability to the success of community health partnerships and the many threats to sustainability, there is little evidence that would provide partnerships with clear guidance on long-term viability. This article attempts to (1) develop a conceptual model of sustainability in community health partnerships and (2) identify potential determinants of sustainability using comparative qualitative data from four partnerships from the Community Care Network (CCN) Demonstration Program. Based on a grounded theory examination of qualitative data from the CCN evaluation, the authors hypothesize that there are five primary attributes/ activities of partnerships leading to consequential value and eventually to sustainability of collaborative capacity. They include outcomes-based advocacy, vision-focus balance, systems orientation, infrastructure development, and community linkages. The context in which the partnership operates provides the conditions for determining the appropriateness and relative impact of each of the factors related to creating consequential value in the partnership.