Learning from national implementation of the Veterans Affairs Clinical Resource Hub (CRH) program for improving access to care: protocol for a six year evaluation.

BACKGROUND: The Veterans Affairs (VA) Clinical Resource Hub (CRH) program aims to improve patient access to care by implementing time-limited, regionally based primary or mental health staffing support to cover local staffing vacancies. VA's Office of Primary Care (OPC) designed CRH to support more than 1000 geographically disparate VA outpatient sites, many of which are in rural areas, by providing virtual contingency clinical staffing for sites experiencing primary care and mental health staffing deficits. The subsequently funded CRH evaluation, carried out by the VA Primary Care Analytics Team (PCAT), partnered with CRH program leaders and evaluation stakeholders to develop a protocol for a six-year CRH evaluation. The objectives for developing the CRH evaluation protocol were to prospectively: 1) identify the outcomes CRH aimed to achieve, and the key program elements designed to achieve them; 2) specify evaluation designs and data collection approaches for assessing CRH progress and success; and 3) guide the activities of five geographically dispersed evaluation teams. METHODS: The protocol documents a multi-method CRH program evaluation design with qualitative and quantitative elements. The evaluation's overall goal is to assess CRH's return on investment to the VA and Veterans at six years through synthesis of findings on program effectiveness. The evaluation includes both observational and quasi-experimental elements reflecting impacts at the national, regional, outpatient site, and patient levels. The protocol is based on program evaluation theory, implementation science frameworks, literature on contingency staffing, and iterative review and revision by both research and clinical operations partners. DISCUSSION: Health systems increasingly seek to use data to guide management and decision-making for newly implemented clinical programs and policies. Approaches for planning evaluations to accomplish this goal, however, are not well-established. By publishing the protocol, we aim to increase the validity and usefulness of subsequent evaluation findings. We also aim to provide an example of a program evaluation protocol developed within a learning health systems partnership.

A conceptual model of health insurance stability in the United States health care system.

In the U.S. health care system, people under age 65 are at risk of losing and regaining health insurance coverage over their lifetimes, which has important consequences for their physical and mental health. Despite the importance of insurance stability, we have an incomplete understanding about the complex factors influencing whether people lose and regain coverage. To advance our understanding of the dynamics of health insurance coverage and guide future research, our purpose is to present a new conceptual model of health insurance stability, where instability is defined as a person's loss or change of coverage, which can occur more than once in a lifetime. Drawing from theory and evidence in the literature, we posit that personal and plan characteristics, the health system, and the environmental context - economic, social/cultural, political/judicial, and geographic - drive health insurance stability over the life course and are understudied. Studies are needed to identify the populations most at risk of experiencing insurance instability and vulnerability in health outcomes that results from such insecurity, which may suggest reforms and health policies at the individual, health system, or environment levels to reduce those risks.

Analytic approaches to assess the impact of local spending on sexually transmitted diseases.

OBJECTIVE: To compare the estimated associations between annual sexually transmitted diseases (STD) expenditures per capita and STD incidence rates among Florida and Washington local health departments (LHDs) from 2001 to 2017, using two approaches-a longitudinal regression model with lagged STD spending and a regression model with the Arellano-Bond panel estimator. DATA SOURCES: Secondary data for LHDs were obtained from Florida and Washington state government offices and combined with county sociodemographic and health system data from the federal government. STUDY DESIGN: We examined LHDs in Florida and Washington using a longitudinal panel study design to estimate ecological relationships between annual STD expenditures per capita and annual STD incidence rates from 2001 to 2017, with LHDs as the unit of analysis. We compared two regression models: generalized estimating equations (GEE) and the Arellano-Bond panel estimator (an instrumental variable approach). DATA COLLECTION: The secondary data were combined to build a longitudinal panel database for LHDs in Florida and Washington from 2001 to 2017. PRINCIPAL FINDINGS: In the GEE model with both states, greater STD spending in a prior year was associated unexpectedly with greater STD incidence rates in succeeding years. The Arellano-Bond models for both states had the expected inverse associations but were not significant. In the Arellano-Bond models for Florida, a $1 increase in STD spending in previous years was followed by decreases in STD incidence rates ranging between 29 and 58 points in succeeding years (0.09 ≥ p ≥ 0.04). CONCLUSIONS: In longitudinal panel data for LHDs in two states, the Arellano-Bond estimator, or other instrumental variable approach, is preferred over conventional regression models to obtain unbiased estimates of the relationship between annual STD spending rates and annual STD rates. Future studies will require accurate, standardized, and detailed longitudinal data and rigorous analytic approaches, such as those illustrated in our study.

State-Level Evaluation of Washington's State Innovation Models (SIM) Initiative.

The Washington State Innovation Models (SIM) $65 million Test Award from the Center for Medicare & Medicaid Services' Innovation Center is a statewide intervention expected to improve population health, quality of care, and cost growth through four initiatives: 1) regional accountable communities of health linking health and social services to address local needs; 2) a practice transformation support hub; 3) four value-based payment reform pilot projects mainly in state employee and Medicaid populations; and 4) data and analytic infrastructure development to support system transformation with common measures. We develop a conceptual model based on diffusion theory and apply the RE-AIM evaluation framework (Reach, Effectiveness, Adoption, Implementation, and Maintenance) to structure our evaluation. We find that in three years (2016-2018), SIM built the infrastructure for system transformation and increased Washington's readiness for health system change in the next decade. However, the initiatives have not spread statewide, which may take over 10 years.

Statewide Evaluation of Washington's State Innovation Model Initiative: A Mixed-Methods Approach.

The Washington State Innovation Model (SIM) $65 million Test Award from the Center for Medicare and Medicaid Innovation is a statewide intervention expected to improve population health, quality of care, and cost growth through 4 initiatives in 2016-2018: (1) regional accountable communities of health linking health and social services to address local needs; (2) a practice transformation support hub; (3) four value-based payment reform pilot projects mainly in state employee and Medicaid populations; and (4) data and analytic infrastructure development to support system transformation with common measures. A mixed-methods study design and data from the 2013-2018 Behavioral Risk Factor Surveillance System Surveys are used to estimate whether SIM resulted in changes in access to care, health behaviors, and health status in Washington's adult population. Semi-structured qualitative interviews also were conducted to assess stakeholder perceptions of SIM performance. SIM may have reduced binge drinking, but no effects were detected for heavy drinking, physical activity, smoking, having a regular doctor checkup, unmet health care needs, and fair or poor health status. Complex interventions, such as SIM, may have unintended consequences. SIM was associated unexpectedly with increased unhealthy days, but whether the association was related to the Initiative or other factors is unclear. Over 3 years, stakeholders generally agreed that SIM was implemented successfully and increased Washington's readiness for system transformation but had not yet produced expected outcomes, partly because SIM had not spread statewide. Stakeholders perceived that scaling up SIM statewide takes time to achieve and remains challenging.

The one-year impact of accountable care networks among Washington State employees.

OBJECTIVE: To estimate the impact of a new, two-sided risk model accountable care network (ACN) on Washington State employees and their families. DATA SOURCES/STUDY SETTING: Administrative data (January 2013-December 2016) on Washington State employees. STUDY DESIGN: We compared monthly health care utilization, health care intensity as measured through proxy pricing, and annual HEDIS quality metrics between the five intervention counties to 13 comparison counties, analyzed separately by age categories (ages 0-5, 6-18, 19-26, 18-64). DATA COLLECTION/EXTRACTION METHODS: We used difference-in-difference methods and generalized estimating equations to estimate the effects after 1 year of implementation for adults and children. PRINCIPAL FINDINGS: We estimate a 1-2 percentage point decrease in outpatient hospital visits due to the introduction of ACNs (adults: -1.8, P < .01; age 0-5: -1.2, P = .07; age 6-18: -1.2, P = .06; age 19-26; -1.2, P < .01). We find changes in primary and specialty care office visits; the direction of impact varies by age. Dependents age 19-26 were also responsive with inpatient admissions declines (-0.08 percentage points, P = .02). Despite changes in utilization, there was no evidence of changes in intensity of care and mixed results in the quality measures. CONCLUSIONS: Washington's state employee ACN introduction changed health care utilization patterns in the first year but was not as successful in improving quality.

The 10 Conditions That Increased Vermont's Readiness to Implement Statewide Health System Transformation.

Following an arduous, 6-year policy-making process, Vermont is the first state implementing a unified, statewide all-payer integrated delivery system with value-based payment, along with aligned medical and social service reforms, for almost all residents and providers in a state. Commercial, Medicare, and Medicaid value-based payment for most Vermonters will be administered through a new statewide accountable care organization in 2018-2022. The purpose of this article is to describe the 10 conditions that increased Vermont's readiness to implement statewide system transformation. The authors reviewed documents, conducted internet searches of public information, interviewed key informants annually in 2014-2016, cross-validated factual and narrative interpretation, and performed content analyses to derive conditions that increased readiness and their implications for policy and practice. Four social conditions (leadership champions; a common vision; collaborative culture; social capital and collective efficacy) and 6 support conditions (money; statewide data; legal infrastructure; federal policy promoting payment reform; delivery system transformation aligned with payment reform; personnel skilled in system reform) increased Vermont's readiness for system transformation. Vermont's experience indicates that increasing statewide readiness for reform is slow, incremental, and exhausting to overcome the sheer inertia of large fee-based systems. The new payments may work because statewide, uniform population-based payment will affect the health care of almost all Vermonters, creating statewide, uniform provider incentives to reduce volume and making the current fee-based system less viable. The conditions for readiness and statewide system transformation may be more likely in states with regulated markets, like Vermont, than in states with highly competitive markets.

A First Look at PCMH Implementation for Minority Veterans: Room for Improvement.

BACKGROUND: Implementation of Patient Aligned Care Teams (PACT), a patient-centered medical home model, has been inconsistent among the >900 primary care facilities in the Veterans Health Administration. OBJECTIVE: Estimate if the degree of PACT implementation at a facility varied with the percentage of minority veteran patients at the facility. RESEARCH DESIGN: Cross-sectional, facility-level analysis of PACT implementation measures in 2012. SUBJECTS: Veterans Health Administration hospital-based and community-based primary care facilities. MEASURES: We used a previously validated PACT Implementation Progress Index (Pi) and its 8 domains: access, continuity of care, care coordination, comprehensiveness, self-management support, and patient-centered care and communication, shared decision-making domains, and team functioning. Facilities were categorized as low (<5.2%, n=208), medium (5.2%-25.8%, n=413), and high (>25.8%, n=206) percent minority based on the percent of their own veteran population. RESULTS: Most minority veterans received care in high minority (69%) and medium minority facilities (29%). In adjusted analyses, medium and high minority facilities scored 0.773 (P=0.009) and 0.930 (P=0.008) points lower on the Pi score relative to low minority facilities. Relative to low minority facilities, both medium and high minority facilities were less likely of having high Pi scores (≥2) and more likely of having low Pi scores (≤-2). Both medium and high minority facilities had the same 3 domain scores lower than low minority facilities (care coordination, comprehensiveness, and self-management). CONCLUSION: Overall PACT implementation varied with respect to the racial/ethnic composition of a facility, with medium and high minority facilities having a lower implementation scores.

Implementing Value-Based Payment Reform: A Conceptual Framework and Case Examples.

This article develops a conceptual framework for implementation of value-based payment (VBP) reform and then draws on that framework to systematically examine six distinct multi-stakeholder coalition VBP initiatives in three different regions of the United States. The VBP initiatives deploy the following payment models: reference pricing, "shadow" primary care capitation, bundled payment, pay for performance, shared savings within accountable care organizations, and global payment. The conceptual framework synthesizes prior models of VBP implementation. It describes how context, project objectives, payment and care delivery strategies, and the barriers and facilitators to translating strategy into implementation affect VBP implementation and value for patients. We next apply the framework to six case examples of implementation, and conclude by discussing the implications of the case examples and the conceptual framework for future practice and research.

Lessons from Washington State's Medical Home Payment Pilot: What It Will Take to Change American Health Care.

The Washington State Multi-Payer Medical Home Reimbursement Pilot (Pilot) tested a payment method for the patient-centered medical home (PCMH) model intended to reduce avoidable emergency department (ED) and hospitalization rates. Very little is known about the primary care clinic (clinic) experience with various payment methods designed for the medical home model. The objective was to elicit and describe the primary care clinic experience among various medical groups in Washington State's payment Pilot. This was a qualitative analysis of semi-structured interviews conducted in January 2014 to identify enabling features (or "facilitators") as well as barriers to successful implementation of PCMH in this multi-payer pilot. Participants were clinical and administrative staff of Pilot clinics representing various types of health systems under 8 parent organizations across Washington State. Pilot clinics across Washington State chose evidence-based population health strategies to achieve Pilot targets. Pilot clinics encountered more barriers than facilitators when implementing strategies. A key facilitator was having timely access to ED and hospital clinical data. A common barrier was the cost of infrastructure development to implement strategies. Other barriers included lack of data to guide interventions and insufficient payment for care management and quality improvement work. It will take more than just primary care transformation to improve health outcomes--a significant transformation in data collection, reporting and payment needs to match the change occurring in clinics.

Emerging lessons from regional and state innovation in value-based payment reform: balancing collaboration and disruptive innovation.

CONTEXT: In recent decades, practitioners and policymakers have turned to value-based payment initiatives to help contain spending on health care and to improve the quality of care. The Robert Wood Johnson Foundation funded 7 grantees across the country to design and implement value-based, multistakeholder payment reform projects in 6 states and 3 regions of the United States. METHODS: As the external evaluator of these projects, we reviewed documents, conducted Internet searches, interviewed key stakeholders, cross-validated factual and narrative interpretation, and performed qualitative analyses to derive cross-site themes and implications for policy and practice. FINDINGS: The nature of payment reform and its momentum closely reflects the environmental context of each project. Federal legislation such as the Patient Protection and Affordable Care Act and federal and state support for the development of the patient-centered medical home and accountable care organizations encourage value-based payment innovation, as do local market conditions for payers and providers that combine a history of collaboration with independent innovation and experimentation by individual organizations. Multistakeholder coalitions offer a useful facilitating structure for galvanizing payment reform. But to achieve the objectives of reduced cost and improved quality, multistakeholder payment innovation must overcome such barriers as incompatible information systems, the technical difficulties and transaction costs of altering existing billing and payment systems, competing stakeholder priorities, insufficient scale to bear population health risk, providers' limited experience with risk-bearing payment models, and the failure to align care delivery models with the form of payment. CONCLUSIONS: From the evidence adduced in this article, multistakeholder, value-based payment reform requires a trusted, widely respected "honest broker" that can convene and maintain the ongoing commitment of health plans, providers, and purchasers. Change management is complex and challenging, and coalition governance requires flexibility and stable leadership, as market conditions and stakeholder engagement and priorities shift over time. Another significant facilitator of value-based payment reform is outside investment that enables increased investment in human resources, information infrastructure, and care management by provider organizations and their collaborators. Supportive community and social service networks that enhance population health management also are important enablers of value-based payment reform. External pressure from public and private payers is fueling a "burning bridge" between the past of fee-for-service payment models and the future of payments based on value. Robust competition in local health plan and provider markets, coupled with an appropriate mix of multistakeholder governance, pressure from organized purchasers, and regulatory oversight, has the potential to spur value-based payment innovation that combines elements of "reformed" fee-for-service with bundled payments and global payments.

Patient-centered medical home initiative produced modest economic results for Veterans Health Administration, 2010-12.

In 2010 the Veterans Health Administration (VHA) began a nationwide initiative called Patient Aligned Care Teams (PACT) that reorganized care at all VHA primary care clinics in accordance with the patient-centered medical home model. We analyzed data for fiscal years 2003-12 to assess how trends in health care use and costs changed after the implementation of PACT. We found that PACT was associated with modest increases in primary care visits and with modest decreases in both hospitalizations for ambulatory care-sensitive conditions and outpatient visits with mental health specialists. We estimated that these changes avoided $596 million in costs, compared to the investment in PACT of $774 million, for a potential net loss of $178 million in the study period. Although PACT has not generated a positive return, it is still maturing, and trends in costs and use are favorable. Adopting patient-centered care does not appear to have been a major financial risk for the VHA.

Targeted health department expenditures benefit birth outcomes at the county level.

BACKGROUND: Public health leaders lack evidence for making decisions about the optimal allocation of resources across local health department (LHD) services, even as limited funding has forced cuts to public health services while local needs grow. A lack of data has also limited examination of the outcomes of targeted LHD investments in specific service areas. PURPOSE: This study used unique, detailed LHD expenditure data gathered from state health departments to examine the influence of maternal and child health (MCH) service investments by LHDs on health outcomes. METHODS: A multivariate panel time-series design was used in 2013 to estimate ecologic relationships between 2000-2010 LHD expenditures on MCH and county-level rates of low birth weight and infant mortality. The unit of analysis was 102 LHD jurisdictions in Washington and Florida. RESULTS: Results indicate that LHD expenditures on MCH services have a beneficial relationship with county-level low birth weight rates, particularly in counties with high concentrations of poverty. This relationship is stronger for more targeted expenditure categories, with expenditures in each of the three specific examined MCH service areas demonstrating the strongest effects. CONCLUSIONS: Findings indicate that specific LHD investments in MCH have an important effect on related health outcomes for populations in poverty and likely help reduce the costly burden of poor birth outcomes for families and communities. These findings underscore the importance of monitoring the impact of these evolving investments and ensuring that targeted, beneficial investments are not lost but expanded upon across care delivery systems.

A conceptual model of the role of complexity in the care of patients with multiple chronic conditions.

BACKGROUND: Effective healthcare for people with multiple chronic conditions (MCC) is a US priority, but the inherent complexity makes both research and delivery of care particularly challenging. As part of AHRQ Multiple Chronic Conditions Research Network (MCCRN) efforts, the Network developed a conceptual model to guide research in this area. OBJECTIVE: To synthesize methodological and topical issues relevant to MCC patient care into a framework that can improve the delivery of care and advance future research about caring for patients with MCC. METHODS: The Network synthesized essential constructs for MCC research identified from roundtable discussion, input from expert advisors, and previously published models. RESULTS: The AHRQ MCCRN conceptual model defines complexity as the gap between patient needs and healthcare services, taking into account both the multiple considerations that affect the needs of MCC patients, as well as the contextual factors that influence service delivery. The model reframes processes and outcomes to include not only clinical care quality and experience, but also patient health, well being, and quality of life. The single-condition paradigm for treating needs one-by-one falls apart and highlights the need for care systems to address dynamic patient needs. CONCLUSIONS: Defining complexity in terms of the misalignment between patient needs and services offers new insights in how to research and develop solutions to patient care needs.

Washington state foster care: dental utilization and expenditures.

OBJECTIVES: To identify factors associated with dental utilization and expenditures for children enrolled in Washington State (WA) foster care (FC). METHODS: This cross-sectional study used 2008 Medicaid enrollment and claims files for children ages <18 years enrolled in the WA FC program for ≥11 months (N = 10,177). Regression models were used to examine associations between utilization and expenditures and sex, race, age group, Supplemental Security Income (SSI) (i.e., disability), substance abuse, behavior problems, placement setting (Foster Home Care, Kinship Care, Group Care, Other), and urbanicity. RESULTS: Only 43 percent of the children utilized any dental care; the adjusted mean expenditure was $198.35 [95% confidence interval (CI) $181.35, $215.36]. Fewer utilized diagnostic (41 percent), preventive (39 percent), restorative (11 percent), or complex (5 percent) services. Associated with utilization (P ≤ 0.01) were: female [ARR = 1.05, 95% CI(1.01, 1.10)]; 0-2 years [ARR = 0.18, 95% CI(0.15, 0.21)], [3-5 years ARR = 0.78, 95% CI(0.74, 0.83)]; Native American [ARR = 0.85, 95% CI(0.80, 0.91)]; SSI [ARR = 1.10, 95% CI(1.04, 1.17)]; Kinship Care [ARR = 0.94, 95% CI(0.90, 0.98)]; Group Care [ARR = 1.25 95% CI(1.15, 1.37)]; and urban/rural urbanicity with population <20 K [ARR = 1.20 95% CI(1.12, 1.30)]. Associated with expenditures (P < 0.05) were: ages 0-2 years [-$153.66, 95% CI(-$168.33, -$139.00)], 3-5 years [-$98.71, 95% CI(-$116.78, -$80.65)], 6-11 years [-$16.83 95% CI(-$33.52, -$0.14)]; African American [-$32.05 95% CI(-$47.99, -$16.12)]; Kinship Care [$28.57 95% CI($14.00, $43.15)]. CONCLUSIONS: Most children enrolled in WA FC for ≥11 months during 2008 did not receive dental care. Research is needed to determine the level of unmet need among children in FC and interventions to improve access to oral health of the children. Enforcement of existing federal legislation is needed.

Outcomes among chronically ill adults in a medical home prototype.

OBJECTIVES: To compare quality, utilization, and cost outcomes for patients with selected chronic illnesses at a patient-centered medical home (PCMH) prototype site with outcomes for patients with the same chronic illnesses at 19 nonintervention control sites. STUDY DESIGN: Nonequivalent pretest-posttest control group design. METHODS: PCMH redesign results were investigated for patients with preexisting diabetes, hypertension, and/or coronary heart disease. Data from automated databases were collected for eligible enrollees in an integrated healthcare delivery system. Multivariable regression models tested for adjusted differences between PCMH patients and controls during the baseline and follow-up periods. Dependent measures under study included clinical processes and, outcomes, monthly healthcare utilization, and costs. RESULTS: Compared with controls over 2 years, patients at the PCMH prototype clinic had slightly better clinical outcome control in coronary heart disease (2.20 mg/dL lower mean low-density lipoprotein cholesterol; P <.001). PCMH patients changed their patterns of primary care utilization, as reflected by 86% more secure electronic message contacts (P <.001), 10% more telephone contacts (P = .003), and 6% fewer in-person primary care visits (P <.001). PCMH patients had 21% fewer ambulatory care-sensitive hospitalizations (P <.001) and 7% fewer total inpatient admissions (P = .002) than controls. During the 2-year redesign, we observed 17% lower inpatient costs (P <.001) and 7% lower total healthcare costs (P <.001) among patients at the PCMH prototype clinic. CONCLUSIONS: A clinic-level population-based PCMH redesign can decrease downstream utilization and reduce total healthcare costs in a subpopulation of patients with common chronic illnesses.

A report on eight early-stage state and regional projects testing value-based payment.

To help contain health care spending and improve the quality of care, practitioners and policy makers are trying to move away from fee-for-service toward value-based payment, which links providers' reimbursement to the value, rather than the volume, of services delivered. With funding from the Robert Wood Johnson Foundation, eight grantees across the country are designing and implementing value-based payment reform projects. For example, in Salem, Oregon, the Physicians Choice Foundation is testing "Program Oriented Payments," which include incentives for providers who follow a condition-specific program of care designed to meet goals set jointly by patient and provider. In this article we describe the funding rationale and the specific objectives, strategies, progress, and early stages of implementation of the eight projects. We also share some early lessons and identify prerequisites for success, such as ensuring that providers have broad and timely access to data so they can meet patients' needs in cost-effective ways.

Unmet dental need in community-dwelling adults with mental illness: results from the 2007 Medical Expenditure Panel Survey.

BACKGROUND: Mental illness (MI) affects approximately one in five U.S. adults, and it is associated with oral disease and poor dental treatment outcomes. Little is known about dental care utilization or unmet dental need in this population. METHODS: The authors examined data regarding presence or absence of dental visits and unmet dental need in community-dwelling adults with MI from the 2007 Medical Expenditure Panel Survey. They tested differences between adults with and without MI by using multivariate logistic regression. RESULTS: Eighteen percent of adults (N = 19,368) had MI, and of these, 6.8 percent had unmet dental need. Although people with MI were not significantly more likely to have had a dental visit (46.3 percent) than were those without MI (42.2 percent; odds ratio [OR], 1.09; 95 percent confidence interval [CI], 0.97-1.23), they were significantly more likely to report unmet need (11.0 versus 5.3 percent; OR, 2.00; 95 percent CI, 1.67-2.41). Those with mood or anxiety disorders were most likely to report having an unmet dental need (P < .001 for all values). CONCLUSIONS: Although people with MI did not visit the dentist significantly more often than did adults without MI, their higher level of unmet need suggests that current use of dental services is not addressing their needs adequately. PRACTICAL IMPLICATIONS: Dentists should be familiar with MI conditions as patients with MI may have greater unmet dental need.

Does a large-scale organizational transformation toward patient-centered access change the utilization and costs of care for patients with diabetes?

The authors examined whether Group Health's Access Initiative changed the utilization and costs of care among enrollees with diabetes. Using a single (one-group) interrupted time series design, repeated-measures generalized estimating equation models were used to estimate changes in utilization and costs during the Initiative rollout (2002-2003) and to compare the slopes (annual rates of change) for utilization and costs during the Pre-Initiative period (1998-2002) to the slopes during Full-Implementation (2003-2006) among 9,871 members continuously enrolled from 1997 to 2006 with type 1 or 2 diabetes. Total costs increased in Full-Implementation, but the annual change in total costs did not change. Primary care visits declined, but primary care contacts grew, largely from the Initiative's introduction of secure messaging. Specialty visits did not change; however, the Initiative may have increased emergency visits. To reduce emergency visits, future access initiatives should include proactive and comprehensive outpatient care for patients with diabetes.