Association between physician-hospital integration and inpatient care delivery in accountable care organizations: An instrumental variable analysis.

OBJECTIVE: To investigate the relationship between physician-hospital integration within accountable care organizations (ACOs) and inpatient care utilization and expenditure. DATA SOURCES: The primary data were Massachusetts All-Payer Claims Database (2009-2013). STUDY SETTING: Fifteen provider organizations that entered a commercial ACO contract with a major private payer in Massachusetts between 2009 and 2013. STUDY DESIGN: Using an instrumental variable approach, the study compared inpatient care delivery between patients of ACOs demonstrating high versus low integration. We measured physician-hospital integration within ACOs by the proportion of primary care physicians in an ACO who billed for outpatient services with a place-of-service code indicating employment or practice ownership by a hospital. The study sample comprised non-elderly adults who had continuous insurance coverage and were attributed to one of the 15 ACOs. Outcomes of interest included total medical expenditure during an episode of inpatient care, length of stay (LOS) of the index hospitalization, and 30-day readmission. An inpatient episode was defined as 30, 45, and 60 days from the admission date. DATA COLLECTION/EXTRACTION METHODS: Not applicable. PRINCIPAL FINDINGS: The study examined 33,535 admissions from patients served by the 15 ACOs. Average medical expenditure within 30 days of admission was $24,601, within 45 days was $26,447, and within 60 days was $28,043. Average LOS was 3.5 days, and 5.4% of patients were readmitted within 30 days. Physician-hospital integration was associated with a 10.6% reduction in 30-day expenditure (95% CI, -15.1% to -5.9%). Corresponding estimates for 45 and 60 days were - 9.7% (95%CI, -14.2% to -4.9%) and - 9.6% (95%CI, -14.3% to -4.7%). Integration was associated with a 15.7% decrease in LOS (95%CI, -22.6% to -8.2%) but unrelated to 30-day readmission rate. CONCLUSIONS: Our instrumental variable analysis shows physician-hospital integration with ACOs was associated with reduced inpatient spending and LOS, with no evidence of elevated readmission rates.

Do accountable care organizations differ according to physician-hospital integration?: A retrospective observational study.

ABSTRACT: Physician-hospital integration among accountable care organizations (ACOs) has raised concern over impacts on prices and spending. However, characteristics of ACOs with greater integration between physicians and hospitals are unknown. We examined whether ACOs systematically differ by physician-hospital integration among 16 commercial ACOs operating in Massachusetts.Using claims data linked to information on physician affiliation, we measured hospital integration with primary care physicians for each ACO and categorized them into high-, medium-, and low-integrated ACOs. We conducted cross-sectional descriptive analysis to compare differences in patient population, organizational characteristics, and healthcare spending between the three groups. In addition, using multivariate generalized linear models, we compared ACO spending by integration level, adjusting for organization and patient characteristics. We identified non-elderly adults (aged 18-64) served by 16 Massachusetts ACOs over the period 2009 to 2013.High- and medium-integrated ACOs were more likely to be an integrated delivery system or an organization with a large number of providers. Compared to low-integrated ACOs, higher-integrated ACOs had larger inpatient care capacity, smaller composition of primary care physicians, and were more likely to employ physicians directly or through an affiliated hospital or physician group. A greater proportion of high-/medium-integrated ACO patients lived in affluent neighborhoods or areas with a larger minority population. Healthcare spending per enrollee in high-integrated ACOs was higher, which was mainly driven by a higher spending on outpatient facility services.This study shows that higher-integrated ACOs differ from their counterparts with low integration in many respects including higher healthcare spending, which persisted after adjusting for organizational characteristics and patient mix. Further investigation into the effects of integration on expenditures will inform the ongoing development of ACOs.

Applying a Model of Teamwork Processes to Emergency Medical Services.

INTRODUCTION: Effective teamwork has been shown to optimize patient safety. However, research centered on the critical inputs, processes, and outcomes of team effectiveness in emergency medical services (EMS) has only recently begun to emerge. We conducted a theory-driven qualitative study of teamwork processes-the interdependent actions that convert inputs to outputs-by frontline EMS personnel in order to provide a model for use in EMS education and research. METHODS: We purposively sampled participants from an EMS agency in Houston, TX. Full-time employees with a valid emergency medical technician license were eligible. Using semi-structured format, we queried respondents on task/team functions and enablers/obstacles of teamwork in EMS. Phone interviews were recorded and transcribed. Using a thematic analytic approach, we combined codes into candidate themes through an iterative process. Analytic memos during coding and analysis identified potential themes, which were reviewed/refined and then compared against a model of teamwork processes in emergency medicine. RESULTS: We reached saturation once 32 respondents completed interviews. Among participants, 30 (94%) were male; the median experience was 15 years. The data demonstrated general support for the framework. Teamwork processes were clustered into four domains: planning; action; reflection; and interpersonal processes. Additionally, we identified six emergent concepts during open coding: leadership; crew familiarity; team cohesion; interpersonal trust; shared mental models; and procedural knowledge. CONCLUSION: In this thematic analysis, we outlined a new framework of EMS teamwork processes to describe the procedures that EMS operators employ to convert individual inputs into team performance outputs. The revised framework may be useful in both EMS education and research to empirically evaluate the key planning, action, reflection, and interpersonal processes that are critical to teamwork effectiveness in EMS.

Exploring the Association Between Organizational Culture and Large-Scale Adverse Events: Evidence from the Veterans Health Administration.

BACKGROUND: Large-scale adverse events (LSAEs) involve unsafe clinical practices stemming from system issues that may affect multiple patients. Although literature suggests a supportive organizational culture may protect against system-related adverse events, no study has explored such a relationship within the context of LSAEs. This study aimed to identify whether staff perceptions of organizational culture were associated with LSAE incidence. METHODS: The team conducted an exploratory analysis using the 2008-2010 data from the US Department of Veterans Affairs (VA) All Employee Survey (AES). LSAE incidence was the outcome variable in two facilities where similar infection control practice issues occurred, leading to LSAEs. For comparison, four facilities where LSAEs had not occurred were selected, matched on VA-assigned facility complexity and geography. The AES explanatory factors included workgroup-level (civility, employee engagement, leadership, psychological safety, resources, rewards) and hospital-level Likert-type scales for four cultural factors (group, rational, entrepreneurial, bureaucratic). Bivariate analyses and logistic regressions were performed, with individual staff as the unit of analysis from the anonymous AES data. RESULTS: Responses from 209 AES participants across the six facilities in the sample indicated that the four comparison facilities had significantly higher mean scores compared to the two LSAE facilities for 9 of 10 explanatory factors. The adjusted analyses identified that employee engagement significantly predicted LSAE incidence (odds ratio = 0.58, 95% confidence interval = 0.37-0.90). CONCLUSION: Staff at the two exposure facilities in this study described their organizational culture to be less supportive. Lower scores in employee engagement may be a contributing factor for LSAEs.

Development of the Perceived Access Inventory: A patient-centered measure of access to mental health care.

According to recent Congressional testimony by the Secretary for Veterans Affairs (VA), improving the timeliness of services is one of five current priorities for VA. A comprehensive access measure, grounded in veterans' experience, is essential to support VA's efforts to improve access. In this article, the authors describe the process they used to develop the Perceived Access Inventory (PAI), a veteran-centered measure of perceived access to mental health services. They used a multiphase, mixed-methods approach to develop the PAI. Each phase built on and was informed by preceding phases. In Phase 1, the authors conducted 80 individual, semistructured, qualitative interviews with veterans from 3 geographic regions to elicit the barriers and facilitators they experienced in seeking mental health care. In Phase 2, they generated a preliminary set of 77 PAI items based on Phase 1 qualitative data. In Phase 3, an external expert panel rated the preliminary PAI items in terms of relevance and importance, and provided feedback on format and response options. Thirty-nine PAI items resulted from Phase 3. In Phase 4, veterans gave feedback on the readability and understandability of the PAI items generated in Phase 3. Following completion of these 4 developmental phases, the PAI included 43 items addressing 5 domains: logistics (five items), culture (three items), digital (nine items), systems of care (13 items), and experiences of care (13 items). Future work will evaluate concurrent and predictive validity, test/retest reliability, sensitivity to change, and the need for further item reduction. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Relational Climate and Health Care Costs: Evidence From Diabetes Care.

Quality of care worries and rising costs have resulted in a widespread interest in enhancing the efficiency of health care delivery. One area of increasing interest is in promoting teamwork as a way of coordinating efforts to reduce costs and improve quality, and identifying the characteristics of the work environment that support teamwork. Relational climate is a measure of the work environment that captures shared employee perceptions of teamwork, conflict resolution, and diversity acceptance. Previous research has found a positive association between relational climate and quality of care, yet its relationship with costs remains unexplored. We examined the influence of primary care relational climate on health care costs incurred by diabetic patients at the U.S. Department of Veterans Affairs between 2008 and 2012. We found that better relational climate is significantly related to lower costs. Clinics with the strongest relational climate saved $334 in outpatient costs per patient compared with facilities with the weakest score in 2010. The total outpatient cost saving if all clinics achieved the top 5% relational climate score was $20 million. Relational climate may contribute to lower costs by enhancing diabetic treatment work processes, especially in outpatient settings.

Dense Breast Notification Laws: Impact on Downstream Imaging After Screening Mammography.

Dense breast tissue is a common finding that decreases the sensitivity of mammography in detecting cancer. Many states have recently enacted dense breast notification (DBN) laws to provide patients with information to help them make better-informed decisions about their health. To test whether DBN legislation affected the probability of screening mammography follow-up by ultrasound and magnetic resonance imaging (MRI), we examined the proportion of times screening mammography was followed by ultrasound or MRI for a series of months pre- and post-legislation. The subjects were women aged 40 to 64 years, covered by private health insurance, undergoing screening mammography from 2007 to 2014. Except for Hawaii, Maryland, and New York, DBN legislation significantly increased the probability of ultrasound follow-up in all states that implemented DBN legislation before December 2014. It also increased the probability of MRI follow-up in California, North Carolina, Pennsylvania, and Texas. The financial and access consequences merit further study.

Budgetary impact analysis of a primary care-based hepatitis C treatment program: Effects of 340B Drug Pricing Program.

PURPOSE: Safety-net health systems, which serve a disproportionate share of patients at high risk for hepatitis C virus (HCV) infection, may use revenue generated by the federal drug discount pricing program, known as 340B, to support multidisciplinary care. Budgetary impacts of repealing the drug-pricing program are unknown. Our objective was to conduct a budgetary impact analysis of a multidisciplinary primary care-based HCV treatment program, with and without 340B support. METHODS: We conducted a budgetary impact analysis from the perspective of a large safety-net medical center in Boston, Massachusetts. Participants included 302 HCV-infected patients (mean age 45, 75% male, 53% white, 77% Medicaid) referred to the primary care-based HCV treatment program from 2015-2016. Main measures included costs and revenues associated with the treatment program. Our main outcomes were net cost with and without 340B Drug Pricing support. RESULTS: Total program costs were $942,770, while revenues totaled $1.2 million. With the 340B Drug Pricing Program the hospital received a net revenue of $930 per patient referred to the HCV treatment program. In the absence of the 340B program, the hospital would lose $370 per patient referred. Ninety-seven percent (68/70) of patients who initiated treatment in the program achieved a sustained virologic response (SVR) at a net cost of $4,150 each, among this patient subset. CONCLUSIONS: The 340B Drug Pricing Program enabled a safety-net hospital to deliver effective primary care-based HCV treatment using a multidisciplinary care team. Efforts to sustain the 340B program could enable dissemination of similar HCV treatment models elsewhere.

Veterans' experiences initiating VA-based mental health care.

Military veterans who could benefit from mental health services often do not access them. Research has revealed a range of barriers associated with initiating United States Department of Veterans Affairs (VA) care, including those specific to accessing mental health care (e.g., fear of stigmatization). More work is needed to streamline access to VA mental health-care services for veterans. In the current study, we interviewed 80 veterans from 9 clinics across the United States about initiation of VA mental health care to identify barriers to access. Results suggested that five predominant factors influenced veterans' decisions to initiate care: (a) awareness of VA mental health services; (b) fear of negative consequences of seeking care; (c) personal beliefs about mental health treatment; (d) input from family and friends; and (e) motivation for treatment. Veterans also spoke about the pathways they used to access this care. The four most commonly reported pathways included (a) physical health-care appointments; (b) the service connection disability system; (c) non-VA care; and (d) being mandated to care. Taken together, these data lend themselves to a model that describes both modifiers of, and pathways to, VA mental health care. The model suggests that interventions aimed at the identified pathways, in concert with efforts designed to reduce barriers, may increase initiation of VA mental health-care services by veterans. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Now trending: Coping with non-parallel trends in difference-in-differences analysis.

Difference-in-differences (DID) analysis is used widely to estimate the causal effects of health policies and interventions. A critical assumption in DID is "parallel trends": that pre-intervention trends in outcomes are the same between treated and comparison groups. To date, little guidance has been available to researchers who wish to use DID when the parallel trends assumption is violated. Using a Monte Carlo simulation experiment, we tested the performance of several estimators (standard DID; DID with propensity score matching; single-group interrupted time-series analysis; and multi-group interrupted time-series analysis) when the parallel trends assumption is violated. Using nationwide data from US hospitals (n = 3737) for seven data periods (four pre-interventions and three post-interventions), we used alternative estimators to evaluate the effect of a placebo intervention on common outcomes in health policy (clinical process quality and 30-day risk-standardized mortality for acute myocardial infarction, heart failure, and pneumonia). Estimator performance was assessed using mean-squared error and estimator coverage. We found that mean-squared error values were considerably lower for the DID estimator with matching than for the standard DID or interrupted time-series analysis models. The DID estimator with matching also had superior performance for estimator coverage. Our findings were robust across all outcomes evaluated.

Cost-effectiveness of preexposure prophylaxis for HIV prevention for conception in the United States.

OBJECTIVE: The aim of this study was to investigate the value of coformulated Tenofovir disoproxil fumarate and emtricitabine (TDF/FTC) for preexposure prophylaxis (PrEP) for conception in the U.S. and to identify scenarios in which 'Undetectable = Untransmittable' (U = U) may not be adequate, and rather, PrEP or assisted reproduction would improve outcomes. DESIGN: We developed a Markov cohort simulation model to estimate the incremental benefits and cost-effectiveness of PrEP compared with alternative safer conception strategies, including combination antiretroviral therapy (cART) alone for the HIV-infected partner and assisted reproductive technologies. We modelled various scenarios in which HIV RNA suppression in the male partner was less than perfect. SETTING: U.S. healthcare sector perspective. PARTICIPANTS: Serodiscordant couples in the U.S. was composed of an HIV-infected male and HIV-uninfected female seeking conception. INTERVENTION: Economic analysis. MAIN OUTCOME MEASURE(S): Cumulative risks of HIV transmission to women and babies, maternal life expectancy, discounted quality-adjusted life years (QALY), discounted lifetime medical costs and incremental cost-effectiveness ratios. RESULTS: cART with condomless intercourse limited to ovulation was the preferred HIV prevention strategy among women seeking to conceive with an HIV-infected partner who is HIV-suppressed. PrEP was not cost-effective for women who had partners who were virologically suppressed. When the probability of male partner HIV suppression was low and we assumed generic pricing of PrEP, PrEP was cost-effective, and sometimes even cost-saving compared with cART alone. CONCLUSION: From a U.S. healthcare sector perspective, when the male partner was not reliably suppressed, PrEP became economically attractive, and in some cases, cost-saving.

Veteran-centered barriers to VA mental healthcare services use.

BACKGROUND: Some veterans face multiple barriers to VA mental healthcare service use. However, there is limited understanding of how veterans' experiences and meaning systems shape their perceptions of barriers to VA mental health service use. In 2015, a participatory, mixed-methods project was initiated to elicit veteran-centered barriers to using mental healthcare services among a diverse sample of US rural and urban veterans. We sought to identify veteran-centric barriers to mental healthcare to increase initial engagement and continuation with VA mental healthcare services. METHODS: Cultural Domain Analysis, incorporated in a mixed methods approach, generated a cognitive map of veterans' barriers to care. The method involved: 1) free lists of barriers categorized through participant pile sorting; 2) multi-dimensional scaling and cluster analysis for item clusters in spatial dimensions; and 3) participant review, explanation, and interpretation for dimensions of the cultural domain. Item relations were synthesized within and across domain dimensions to contextualize mental health help-seeking behavior. RESULTS: Participants determined five dimensions of barriers to VA mental healthcare services: concern about what others think; financial, personal, and physical obstacles; confidence in the VA healthcare system; navigating VA benefits and healthcare services; and privacy, security, and abuse of services. CONCLUSIONS: These findings demonstrate the value of participatory methods in eliciting meaningful cultural insight into barriers of mental health utilization informed by military veteran culture. They also reinforce the importance of collaborations between the VA and Department of Defense to address the role of military institutional norms and stigmatizing attitudes in veterans' mental health-seeking behaviors.

Characteristics of State Policies Impact Health Care Delivery: An Analysis of Mammographic Dense Breast Notification and Insurance Legislation.

BACKGROUND: Increased breast tissue density may mask cancer and thus decrease the diagnostic sensitivity of mammography. A patient group advocacy led to the implementation of laws to increase the awareness of breast tissue density and to improve access to supplemental imaging in many states. Given limited evidence about best practices, variation exists in several characteristics of adopted policies. OBJECTIVE: To identify which characteristics of state-level policies with regard to dense breast tissue were associated with increased use of downstream breast ultrasound. RESEARCH DESIGN: This was a retrospective series of monthly cross-sections of screening mammography procedures before and after implementation of laws. SUBJECTS: A sample of 13,481,554 screening mammography procedures extracted from the MarketScan Research database performed between 2007 and 2014 on privately insured women aged 40-64 years that resided in a state that had implemented relevant legislation during that period. MEASURES: The outcome was an indicator of whether breast ultrasound imaging followed a screening mammography procedure within 30 days. The main independent variables were policy characteristics indicators. RESULTS: Notification of patients about issues surrounding increased breast density was associated with increased follow-up by ultrasound by 1.02 percentage points (P=0.016). Some policy characteristics such as the explicit suggestion of supplemental imaging or mandated coverage of supplemental imaging by health insurance augmented that effect. Other policy characteristics moderated the effect. CONCLUSIONS: The heterogeneous effect of state legislation with regard to dense breast tissue on screening mammography follow-up by ultrasound may be explained by specific and unique characteristics of the approaches taken by a variety of states.

The Relationship between Costs and Quality in Veterans Health Administration Community Living Centers: An Analysis Using Longitudinal Data.

OBJECTIVE: To examine the relationship between cost and quality in Veterans Health Administration (VA) nursing homes (called Community Living Centers, CLCs) using longitudinal data. DATA SOURCES/STUDY SETTING: One hundred and thirty CLCs over 13 quarters (from FY2009 to FY2012) were studied. Costs, resident days, and resident severity (RUGs score) were obtained from the VA Managerial Cost Accounting System. Clinical quality measures were obtained from the Minimum Data Set, and resident-centered care (RCC) was measured using the Artifacts of Culture Change Tool. STUDY DESIGN: We used a generalized estimating equation model with facilities included as fixed effects to examine the relationship between total cost and quality after controlling for resident days and severity. The model included linear and squared terms for all independent variables and interactions with resident days. PRINCIPAL FINDINGS: With the exception of RCC, all other variables had a statistically significant relationship with total costs. For most poorer performing smaller facilities (lower size quartile), improvements in quality were associated with higher costs. For most larger facilities, improvements in quality were associated with lower costs. CONCLUSIONS: The relationship between cost and quality depends on facility size and current level of performance.

Update on the Health Services Research Doctoral Core Competencies.

OBJECTIVE: To present revised core competencies for doctoral programs in health services research (HSR), modalities to deliver these competencies, and suggested methods for assessing mastery of these competencies. DATA SOURCES AND DATA COLLECTION: Core competencies were originally developed in 2005, updated (but unpublished) in 2008, modestly updated for a 2016 HSR workforce conference, and revised based on feedback from attendees. Additional feedback was obtained from doctoral program directors, employer/workforce experts and attendees of presentation on these competencies at the AcademyHealth's June 2017 Annual Research Meeting. PRINCIPAL FINDINGS: The current version (V2.1) competencies include the ethical conduct of research, conceptual models, development of research questions, study designs, data measurement and collection methods, statistical methods for analyzing data, professional collaboration, and knowledge dissemination. These competencies represent a core that defines what HSR researchers should master in order to address the complexities of microsystem to macro-system research that HSR entails. There are opportunities to conduct formal evaluation of newer delivery modalities (e.g., flipped classrooms) and to integrate new Learning Health System Researcher Core Competencies, developed by AHRQ, into the HSR core competencies. CONCLUSIONS: Core competencies in HSR are a continually evolving work in progress because new research questions arise, new methods are developed, and the trans-disciplinary nature of the field leads to new multidisciplinary and team building needs.

Longitudinal Analysis of Quality of Diabetes Care and Relational Climate in Primary Care.

OBJECTIVE: To assess the influence of relational climate on quality of diabetes care. DATA SOURCES/STUDY SETTING: The study was conducted at the Department of Veterans Affairs (VA). The VA All Employee Survey (AES) was used to measure relational climate. Patient and facility characteristics were gathered from VA administrative datasets. STUDY DESIGN: Multilevel panel data (2008-2012) with patients nested into clinics. DATA COLLECTION/EXTRACTION METHODS: Diabetic patients were identified using ICD-9 codes and assigned to the clinic with the highest frequency of primary care visits. Multiple quality indicators were used, including an all-or-none process measure capturing guideline compliance, the actual number of tests and procedures, and three intermediate continuous outcomes (cholesterol, glycated hemoglobin, and blood pressure). PRINCIPAL FINDINGS: The study sample included 327,805 patients, 212 primary care clinics, and 101 parent facilities in 2010. Across all study years, there were 1,568,180 observations. Clinics with the highest relational climate were 25 percent more likely to provide guideline-compliant care than those with the lowest relational climate (OR for a 1-unit increase: 1.02, p-value <.001). Among insulin-dependent diabetic veterans, this effect was twice as large. Contrary to that expected, relational climate did not influence intermediate outcomes. CONCLUSIONS: Relational climate is positively associated with tests and procedures provision, but not with intermediate outcomes of diabetes care.

A Longitudinal Assessment of the Effect of Resident-Centered Care on Quality in Veterans Health Administration Community Living Centers.

OBJECTIVE: To examine whether changes in resident-centered care (RCC) over time were associated with changes in quality. DATA SOURCES/STUDY SETTING: Data sources were the Minimum Dataset quality indicators (which consist of measures of both prevalence and incidence of adverse events) and the Artifacts of Culture Change Tool (which measures RCC; FYs 2009-2012) from 130 Veterans Health Administration community living centers. STUDY DESIGN: A retrospective longitudinal study. DATA COLLECTION/EXTRACTION METHODS: Data were from VA secondary data sources. PRINCIPAL FINDINGS: The overall relationship between RCC and quality was not statistically significant (p = .22), although there was a weakly significant negative relationship (i.e., increased RCC was associated with poorer quality) in the seven quarters after implementation of an automated version of the Artifacts Tool (p = .08). In facility-specific analyses, there were 15 facilities with a weakly significant (p < .10) positive relationship between RCC and quality and 21 with a weakly significant negative relationship. Adjusted cost per patient day was over 50 percent higher in the 21 facilities with a negative relationship than in the 15 facilities with a positive relationship (p < .05). CONCLUSIONS: The Artifacts score is a formal performance metric in the VA, and thus, facilities were explicitly incentivized to increase RCC. Using qualitative methods to identify characteristics that distinguished those facilities able to increase both RCC and quality from those that suffered declines in quality as RCC was improved is an important follow-up to this study.

Space-Time Cluster Analysis to Detect Innovative Clinical Practices: A Case Study of Aripiprazole in the Department of Veterans Affairs.

OBJECTIVE: To identify space-time clusters of changes in prescribing aripiprazole for bipolar disorder among providers in the VA. DATA SOURCES: VA administrative data from 2002 to 2010 were used to identify prescriptions of aripiprazole for bipolar disorder. Prescriber characteristics were obtained using the Personnel and Accounting Integrated Database. STUDY DESIGN: We conducted a retrospective space-time cluster analysis using the space-time permutation statistic. DATA EXTRACTION METHODS: All VA service users with a diagnosis of bipolar disorder were included in the patient population. Individuals with any schizophrenia spectrum diagnoses were excluded. We also identified all clinicians who wrote a prescription for any bipolar disorder medication. PRINCIPAL FINDINGS: The study population included 32,630 prescribers. Of these, 8,643 wrote qualifying prescriptions. We identified three clusters of aripiprazole prescribing centered in Massachusetts, Ohio, and the Pacific Northwest. Clusters were associated with prescribing by VA-employed (vs. contracted) prescribers. Nurses with prescribing privileges were more likely to make a prescription for aripiprazole in cluster locations compared with psychiatrists. Primary care physicians were less likely. CONCLUSIONS: Early prescribing of aripiprazole for bipolar disorder clustered geographically and was associated with prescriber subgroups. These methods support prospective surveillance of practice changes and identification of associated health system characteristics.

Can Composite Measures Provide a Different Perspective on Provider Performance Than Individual Measures?

BACKGROUND: Composite measures, which aggregate performance on individual measures into a summary score, are increasingly being used to evaluate facility performance. There is little understanding of the unique perspective that composite measures provide. OBJECTIVE: To examine whether high/low (ie, high or low) performers on a composite measures are also high/low performers on most of the individual measures that comprise the composite. METHODS: We used data from 2 previous studies, one involving 5 measures from 632 hospitals and one involving 28 measures from 112 Veterans Health Administration (VA) nursing homes; and new data on hospital readmissions for 3 conditions from 131 VA hospitals. To compare high/low performers on a composite to high/low performers on the component measures, we used 2-dimensional tables to categorize facilities into high/low performance on the composite and on the individual component measures. RESULTS: In the first study, over a third of the 162 hospitals in the top quintile based on the composite were in the top quintile on at most 1 of the 5 individual measures. In the second study, over 40% of the 27 high-performing nursing homes on the composite were high performers on 8 or fewer of the 28 individual measures. In the third study, 20% of the 61 low performers on the composite were low performers on only 1 of the 3 individual measures. CONCLUSIONS: Composite measures can identify as high/low performers facilities that perform "pretty well" (or "pretty poorly") across many individual measures but may not be high/low performers on most of them.

Understanding collaborative care implementation in the Department of Veterans Affairs: core functions and implementation challenges.

BACKGROUND: The collaborative care model is an evidence-based practice for treatment of depression in which designated care managers provide clinical services, often by telephone. However, the collaborative care model is infrequently adopted in the Department of Veterans Affairs (VA). Almost all VA medical centers have adopted a co-located or embedded approach to integrating mental health care for primary care patients. Some VA medical centers have also adopted a telephone-based collaborative care model where depression care managers support patient education, patient activation, and monitoring of adherence and progress over time. This study evaluated two research questions: (1) What does a dedicated care manager offer in addition to an embedded-only model? (2) What are the barriers to implementing a dedicated depression care manager? METHODS: This study involved 15 qualitative, multi-disciplinary, key informant interviews at two VA medical centers where reimbursement options were the same- both with embedded mental health staff, but one with a depression care manager. Participant interviews were recorded and transcribed. Thematic analysis was used to identify descriptive and analytical themes. RESULTS: Findings suggested that some of the core functions of depression care management are provided as part of embedded-only mental health care. However, formal structural attention to care management may improve the reliability of care management functions, in particular monitoring of progress over time. Barriers to optimal implementation were identified at both sites. Themes from the care management site included finding assertive care managers to hire, cross-discipline integration and collaboration, and primary care provider burden. Themes from interviews at the embedded site included difficulty getting care management on leaders' agendas amidst competing priorities and logistics (staffing and space). CONCLUSIONS: Providers and administrators see depression care management as a valuable healthcare service that improves patient care. Barriers to implementation may be addressed by team-building interventions to improve cross-discipline integration and communication. Findings from this study are limited in scope to the VA healthcare system. Future investigation of whether alternative barriers exist in implementation of depression care management programs in non-VA hospital systems, where reimbursement rates may be a more prominent concern, would be valuable.