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Background: Social determinants of health (SDOH) have an inextricable impact on health. If remained unaddressed, poor SDOH can contribute to increased health care utilization and costs. We aimed to determine if geographically derived neighborhood level SDOH had an impact on hospitalization rates of patients receiving care at the Veterans Health Administration9s (VHA) primary care clinics. Methods: In a 1-year observational cohort of veterans enrolled in VHA9s primary care medical home program during 2015, we abstracted data on individual veterans (age, sex, race, Gagne comorbidity score) from the VHA Corporate Data Warehouse and linked those data to data on neighborhood socioeconomic status (NSES) and housing characteristics from the US Census Bureau on census tract level. We used generalized estimating equation modeling and spatial-based analysis to assess the potential impact of patient-level demographic and clinical factors, NSES, and local housing stock (ie, housing instability, home vacancy rate, percentage of houses with no plumbing, and percentage of houses with no heating) on hospitalization. We defined hospitalization as an overnight stay in a VHA hospital only and reported the risk of hospitalization for veterans enrolled in the VHA9s primary care medical home clinics, both across the nation and within 1 specific case study region of the country: King County, WA. Results: Nationally, 6.63% of our veteran population was hospitalized within the VHA system. After accounting for patient-level characteristics, veterans residing in census tracts with a higher NSES index had decreased odds of hospitalization. After controlling all other factors, veterans residing in census tracts with higher percentage of houses without heating had 9% (Odds Ratio, 1.09%; 95% CI, 1.04 to 1.14) increase in the likelihood of hospitalization in our regional Washington State analysis, though not our national level analyses. Conclusions: Our results present the impact of neighborhood characteristics such as NSES and lack of proper heating system on the likelihood of hospitalization. The application of placed-based data at the geographic level is a powerful tool for identification of patients at high risk of health care utilization.

Supplemental Digital Content is available in the text., Background: Access to health care is a critical concept in the design, delivery, and evaluation of high quality care. Meaningful evaluation of access requires research evidence and the integration of perspectives of patients, providers, and administrators. Objective: Because of high-profile access challenges, the Department of Veterans Affairs (VA) invested in research and implemented initiatives to address access management. We describe a 2-year evidence-based approach to improving access in primary care. Methods: The approach included an Evidence Synthesis Program (ESP) report, a 22-site in-person qualitative evaluation of VA initiatives, and in-person and online stakeholder panel meetings facilitated by the RAND corporation. Subsequent work products were disseminated in a targeted strategy to increase impact on policy and practice. Results: The ESP report summarized existing research evidence in primary care management and an evaluation of ongoing initiatives provided organizational data and novel metrics. The stakeholder panel served as a source of insights and information, as well as a knowledge dissemination vector. Work products included the ESP report, a RAND report, peer-reviewed manuscripts, presentations at key conferences, and training materials for VA Group Practice Managers. Resulting policy and practice implications are discussed. Conclusions: The commissioning of an evidence report was the beginning of a cascade of work including exploration of unanswered questions, novel research and measurement discoveries, and policy changes and innovation. These results demonstrate what can be achieved in a learning health care system that employs evidence and expertise to address complex issues such as access management.

Introduction This study aims to assess the effect of individual and geographic-level social determinants of health on risk of hospitalization in the Veterans Health Administration primary care clinics known as the Patient Aligned Care Team. Methods For a population of Veterans enrolled in the primary care clinics, the study team extracted patient-level characteristics and healthcare utilization records from 2015 Veterans Health Administration electronic health record data. They also collected census data on social determinants of health factors for all U.S. census tracts. They used generalized estimating equation modeling and a spatial-based GIS analysis to assess the role of key social determinants of health on hospitalization. Data analysis was completed in 2018. Results A total of 6.63% of the Veterans Health Administration population was hospitalized during 2015. Most of the hospitalized patients were male (93.40%) and white (68.80%); the mean age was 64.5 years. In the generalized estimating equation model, white Veterans had a 15% decreased odds of hospitalization compared with non-white Veterans. After controlling for patient-level characteristics, Veterans residing in census tracts with the higher neighborhood SES index experienced decreased odds of hospitalization. A spatial-based analysis presented variations in the hospitalization rate across the Veterans Health Administration primary care clinics and identified the clinic sites with an elevated risk of hospitalization (hotspots) compared with other clinics across the country. Conclusions By linking patient and population-level data at a geographic level, social determinants of health assessments can help with designing population health interventions and identifying features leading to potentially unnecessary hospitalization in selected geographic areas that appear to be outliers.

Managing patient access to care in health care delivery organizations is instrumental in shaping patient experiences. We convened an inclusive stakeholder panel, informed by evidence, to understand the dimensions and establish definitions of access and access management. The literature varies in access definitions, but the temporal measure "time to third next available appointment" was consistently used as an indicator of access. Panel deliberations highlighted the importance of patient-centeredness and resulted in comprehensive definitions for access management, optimal access management, and optimal access. Health care organizations and researchers can use the developed definitions and concepts as starting points for initiatives to improve access management.

In 2010, Veterans Health Administration (VHA) primary care clinics adopted a patient-centered medical home (PCMH) model. This study sought to examine the association between the organizational features related to adoption of PCMH and the level of adherence to oral hypoglycemic agents (OHAs) among patients with diabetes. This retrospective cohort study involved 757 VA clinics that provide primary care to 440,971 patients with diabetes who were taking OHAs in fiscal year 2012. One-year refill-based medication possession ratios (MPRs) were calculated at the patient level. Clinic-level adherence was defined as the proportion of clinics with MPR ≥80%. Risk adjustment of adherence was performed using logistic regression to account for differences in patient populations at clinics. Eight domains of the PCMH model (ie, access, continuity, coordination, teamwork, comprehensive care, self-management, communication, shared decision making) were assessed using items from a previously validated index. Multivariate linear regression was applied to identify PCMH components associated with clinic-level adherence. Patients with diabetes per clinic ranged from 100 to 5011. The average level of adherence to OHAs among clinics ranged from 52.8% to 61.9% (interquartile range = 57.9% to 59.4%). In multivariate analysis, organizational features associated with higher clinic-level adherence included access to routine care (standardized beta [Sβ] = .21, P = .004), having a respectful office staff (Sβ = 0.21, P = .002), and utilization of telephone encounters (Sβ = 0.23, P .001). Among a national cohort of veterans with diabetes, overall PCMH implementation did not significantly increase adherence to oral hypoglycemic agents, although aspects of implementation were associated with increased adherence. Measures of access to care appear the most significant.

Background: Managing patient access to care in healthcare delivery organizations is complex, yet instrumental in shaping patient healthcare experiences. Conceptual work to understand the dimensions of access and access management is critical for improvement initiatives. This work aims to advance primary care access management practice and research to support healthcare delivery organizations. Methods: We convened a stakeholder panel, informed by evidence review, to establish access and access management definitions. Stakeholders were selected based on a patient-centered framework and included patients, healthcare providers, policy makers, product makers, payers, and purchasers of healthcare. Methods included evidence review; written surveys; in-person stakeholder panel discussions; and concurrent sub-panels to establish recurring, cross-panel themes. Results: Literature review results showed variation in access concept definition but consistent use of the temporal measure “time to third next available appointment” as an indicator of access. Panel deliberations highlighted the importance of patient-centeredness and resulted in three comprehensive definitions: 1) “ Access management encompasses the set of goals, evaluations, actions and resources needed to achieve patient-centered healthcare services that maximize access for defined eligible populations of patients; ” 2) “ Optimal access management engages patients, providers, and teams in continuously improving care design and delivery to achieve optimal access;” and 3) “ Optimal access balances considerations of equity, patient preferences, patient needs, provider and staff needs, and value.” Conclusions: Access to healthcare is substantially determined by how healthcare delivery organizations manage it. The developed concepts of access management suggest that access management, improvement initiatives, and research studies require ongoing attention to organizational processes and multiple relevant outcomes. Healthcare organizations and researchers can use the definitions as starting points for initiatives to improve access management and evaluations of access initiative success.

By designing and evaluating health system improvements and providing evidence to clinical decision-makers, embedded researchers are a critical part of a Learning Health System (LHS). In this article, we describe the evolution and mission of the Primary Care Analytics Team (PCAT), an integrated research team within the Veterans Health Administration Office of Primary Care. We discuss challenges and strategies for success in working with clinical operations partners and provide recommendations for other Learning Health Systems units embedded in large integrated health care organizations.

The premise of this project was that social and behavioral determinants of health (SBDH) affect the use of healthcare services and outcomes for patients in an integrated healthcare system such as the Veterans Health Administration (VHA), and thus individual patient level socio-behavioral factors in addition to the neighborhood characteristics and geographically linked factors could add information beyond medical factors mostly considered in clinical decision making, patient care, and population health. To help VHA better address SBDH risk factors for the veterans it cares for within its primary care clinics, we proposed a conceptual and analytic framework, a set of evidence-based measures, and their data source. The framework and recommended SBDH metrics can provide a road map for other primary care-centric healthcare organizations wishing to use health analytic tools to better understand how SBDH affect health outcomes.

Objective To identify priorities for improving healthcare organization management of patient access to primary care based on prior evidence and a stakeholder panel. Background Studies on healthcare access show its importance for ensuring population health. Few studies show how healthcare organizations can improve access. Methods We conducted a modified Delphi stakeholder panel anchored by a systematic review. Panelists (N = 20) represented diverse stakeholder groups including patients, providers, policy makers, purchasers, and payers of healthcare services, predominantly from the Veterans Health Administration. A pre-panel survey addressed over 80 aspects of healthcare organization management of access, including defining access management. Panelists discussed survey-based ratings during a 2-day in-person meeting and re-voted afterward. A second panel process focused on each final priority and developed recommendations and suggestions for implementation. Results The panel achieved consensus on definitions of optimal access and access management on eight urgent and important priorities for guiding access management improvement, and on 1–3 recommendations per priority. Each recommendation is supported by referenced, panel-approved suggestions for implementation. Priorities address two organizational structure targets (interdisciplinary primary care site leadership; clearly identified group practice management structure); four process improvements (patient telephone access management; contingency staffing; nurse management of demand through care coordination; proactive demand management by optimizing provider visit schedules), and two outcomes (quality of patients’ experiences of access; provider and staff morale). Recommendations and suggestions for implementation, including literature references, are summarized in a panelist-approved, ready-to-use tool. Conclusions A stakeholder panel informed by a pre-panel systematic review identified eight action-oriented priorities for improving access and recommendations for implementing each priority. The resulting tool is suitable for guiding the VA and other integrated healthcare delivery organizations in assessing and initiating improvements in access management, and for supporting continued research.

This report outlines the results of evidence review, qualitative analysis, and the deliberations of an expert panel to identify access management priorities for health care organizations as they undertake initiatives to improve access to primary care. For each of eight urgent and important priorities, the authors offer recommendations related to organizational structures, processes, and outcomes, as well as suggestions for implementation.

Rural Veterans Health Administration (VHA) primary care clinics are smaller, have fewer staff, and serve more rural patients compared with urban VHA primary care clinics. This may lead to different challenges to implementation of the Patient-Centered Medical Home (PCMH) model, the Patient Aligned Care Team, in the VHAs' large integrated health system. In this cross-sectional observational study of 905 VHA primary clinics in the United States and Puerto Rico, we found overall PCMH implementation was greater in rural compared to urban primary care clinics. Urban-rural differences in PCMH implementation may largely be related to clinic organizational factors.

Burnout is widespread throughout primary care and is associated with negative consequences for providers and patients. The relationship between the patient-centered medical home model and burnout remains unclear. Using survey data from 8135 and 7510 VA primary care employees in 2012 and 2013, respectively, we assessed whether clinic-level medical home implementation was independently associated with burnout prevalence and estimated whether burnout changed among this workforce from 2012 to 2013. Adjusting for differences in respondent and clinic characteristics, we found that burnout was common among primary care employees, increased by 3.9% from 2012 to 2013, and was not associated with the extent of medical home implementation.

As the largest integrated US health system, the Veterans Health Administration (VHA) provides unique national data to expand knowledge about the association between neighborhood socioeconomic status (NSES) and health. Although living in areas of lower NSES has been associated with higher mortality, previous studies have been limited to higher-income, less diverse populations than those who receive VHA care. To describe the association between NSES and all-cause mortality in a national sample of veterans enrolled in VHA primary care. One-year observational cohort of veterans who were alive on December 31, 2011. Data on individual veterans (vital status, and clinical and demographic characteristics) were abstracted from the VHA Corporate Data Warehouse. Census tract information was obtained from the US Census Bureau American Community Survey. Logistic regression was used to model the association between NSES deciles and all-cause mortality during 2012, adjusting for individual-level income and demographics, and accounting for spatial autocorrelation. Veterans who had vital status, demographic, and NSES data, and who were both assigned a primary care physician and alive on December 31, 2011 (n = 4,814,631). Census tracts were used as proxies for neighborhoods. A summary score based on census tract data characterized NSES. Veteran addresses were geocoded and linked to census tract NSES scores. Census tracts were divided into NSES deciles. In adjusted analysis, veterans living in the lowest-decile NSES tract were 10 % (OR 1.10, 95 % CI 1.07, 1.14) more likely to die than those living in the highest-decile NSES tract. Lower neighborhood SES is associated with all-cause mortality among veterans after adjusting for individual-level socioeconomic characteristics. NSES should be considered in risk adjustment models for veteran mortality, and may need to be incorporated into strategies aimed at improving veteran health.

Objectives. We evaluated the association of mental illnesses with clinical outcomes among US veterans and evaluated the effects of Primary Care–Mental Health Integration (PCMHI). Methods. A total of 4 461 208 veterans were seen in the Veterans Health Administration’s patient-centered medical homes called Patient Aligned Care Teams (PACT) in 2010 and 2011, of whom 1 147 022 had at least 1 diagnosis of depression, posttraumatic stress disorder (PTSD), substance use disorder (SUD), anxiety disorder, or serious mental illness (SMI; i.e., schizophrenia or bipolar disorder). We estimated 1-year risk of emergency department (ED) visits, hospitalizations, and mortality by mental illness category and by PCMHI involvement. Results. A quarter of all PACT patients reported 1 or more mental illnesses. Depression, SMI, and SUD were associated with increased risk of hospitalization or death. PTSD was associated with lower odds of ED visits and mortality. Having 1 or more contact with PCMHI was associated with better outcomes. Conclusions. Mental illnesses are associated with poor outcomes, but integrating mental health treatment in primary care may be associated with lower risk of those outcomes.

In 2010, the Veterans Health Administration (VHA) began implementing the patient-centered medical home (PCMH) model. The Patient Aligned Care Team (PACT) initiative aims to improve health outcomes through team-based care, improved access, and care management. To track progress and evaluate outcomes at all VHA primary care clinics, we developed and validated a method to assess PCMH implementation.To create an index that measures the extent of PCMH implementation, describe variation in implementation, and examine the association between the implementation index and key outcomes.We conducted an observational study using data on more than 5.6 million veterans who received care at 913 VHA hospital-based and community-based primary care clinics and 5404 primary care staff from (1) VHA clinical and administrative databases, (2) a national patient survey administered to a weighted random sample of veterans who received outpatient care from June 1 to December 31, 2012, and (3) a survey of all VHA primary care staff in June 2012. Composite scores were constructed for 8 core domains of PACT: access, continuity, care coordination, comprehensiveness, self-management support, patient-centered care and communication, shared decision making, and team-based care.Patient satisfaction, rates of hospitalization and emergency department use, quality of care, and staff burnout.Fifty-three items were included in the PACT Implementation Progress Index (Pi2). Compared with the 87 clinics in the lowest decile of the Pi2, the 77 sites in the top decile exhibited significantly higher patient satisfaction (9.33 vs 7.53; P .001), higher performance on 41 of 48 measures of clinical quality, lower staff burnout (Maslach Burnout Inventory emotional exhaustion subscale, 2.29 vs 2.80; P = .02), lower hospitalization rates for ambulatory care-sensitive conditions (4.42 vs 3.68 quarterly admissions for veterans 65 years or older per 1000 patients; P .001), and lower emergency department use (188 vs 245 visits per 1000 patients; P .001).The extent of PCMH implementation, as measured by the Pi2, was highly associated with important outcomes for both patients and providers. This measure will be used to track the effectiveness of implementing PACT over time and to elucidate the correlates of desired health outcomes.