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.

Inflammatory Bowel Disease (IBD) pharmacotherapy and the risk of serious infection: a systematic review and network meta-analysis.

BACKGROUND: The magnitude of risk of serious infections due to available medical therapies of inflammatory bowel disease (IBD) remains controversial. We conducted a systematic review and network meta-analysis of the existing IBD literature to estimate the risk of serious infection in adult IBD patients associated with available medical therapies. METHODS: Studies were identified by a literature search of PubMed, Cochrane Library, Medline, Web of Science, Scopus, EMBASE, and ProQuest Dissertations and Theses. Randomized controlled trials comparing IBD medical therapies with no restrictions on language, country of origin, or publication date were included. A network meta-analysis was used to pool direct between treatment comparisons with indirect trial evidence while preserving randomization. RESULTS: Thirty-nine articles fulfilled the inclusion criteria; one study was excluded from the analysis due to disconnectedness. We found no evidence of increased odds of serious infection in comparisons of the different treatment strategies against each other, including combination therapy with a biologic and immunomodulator compared to biologic monotherapy. Similar results were seen in the comparisons between the newer biologics (e.g. vedolizumab) and the anti-tumor necrosis factor agents. CONCLUSIONS: No treatment strategy was found to confer a higher risk of serious infection than another, although wide confidence intervals indicate that a clinically significant difference cannot be excluded. These findings provide a better understanding of the risk of serious infection from IBD pharmacotherapy in the adult population. PROSPERO REGISTRATION: The protocol for this systematic review was registered on PROSPERO ( CRD42014013497 ).

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.

Neighborhood Crime-Related Safety and Its Relation to Children's Physical Activity.

Crime is both a societal safety and public health issue. Examining different measures and aspects of crime-related safety and their correlations may provide insight into the unclear relationship between crime and children's physical activity. We evaluated five neighborhood crime-related safety measures to determine how they were interrelated. We then explored which crime-related safety measures were associated with children's total moderate-to-vigorous physical activity (MVPA) and MVPA in their neighborhoods. Significant positive correlations between observed neighborhood incivilities and parents' perceptions of general crime and disorder were found (r = 0.30, p = 0.0002), as were associations between parents' perceptions of general crime and disorder and perceptions of stranger danger (r = 0.30, p = 0.0002). Parent report of prior crime victimization in their neighborhood was associated with observed neighborhood incivilities (r = 0.22, p = 0.007) and their perceptions of both stranger danger (r = 0.24, p = 0.003) and general crime and disorder (r = 0.37, p < 0.0001). After accounting for covariates, police-reported crime within the census block group in which children lived was associated with less physical activity, both total and in their neighborhood (beta = -0.09, p = 0.005, beta = -0.01, p = 0.02, respectively). Neighborhood-active children living in the lowest crime-quartile neighborhoods based on police reports had 40 min more of total MVPA on average compared to neighborhood-active children living in the highest crime-quartile neighborhoods. Findings suggest that police reports of neighborhood crime may be contributing to lower children's physical activity.

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.

Specialty use among patients with treated hypertension in a patient-centered medical home.

BACKGROUND: Little is known about how delivery of primary care in the patient-centered medical home (PCMH) influences outpatient specialty care use. OBJECTIVE: To describe changes in outpatient specialty use among patients with treated hypertension during and after PCMH practice transformation. DESIGN: One-group, 48-month interrupted time series across baseline, PCMH implementation and post-implementation periods. PATIENTS: Adults aged 18-85 years with treated hypertension. INTERVENTION: System-wide PCMH redesign implemented across 26 clinics in an integrated health care delivery system, beginning in January 2009. MAIN MEASURES: Resource Utilization Band variables from the Adjusted Clinical Groups case mix software characterized overall morbidity burden (low, medium, high). Negative binomial regression models described adjusted annual differences in total specialty care visits. Poisson regression models described adjusted annual differences in any use (yes/no) of selected medical and surgical specialties. KEY RESULTS: Compared to baseline, the study population averaged 7% fewer adjusted specialty visits during implementation (P < 0.001) and 4% fewer adjusted specialty visits in the first post-implementation year (P = 0.02). Patients were 12% less likely to have any cardiology visits during implementation and 13% less likely during the first post-implementation year (P < 0.001). In interaction analysis, patients with low morbidity had at least 27% fewer specialty visits during each of 3 years following baseline (P < 0.001); medium morbidity patients had 9% fewer specialty visits during implementation (P < 0.001) and 5% fewer specialty visits during the first post-implementation year (P = 0.007); high morbidity patients had 3% (P = 0.05) and 5% (P = 0.009) higher specialty use during the first and second post-implementation years, respectively. CONCLUSIONS: Results suggest that more comprehensive primary care in this PCMH redesign enabled primary care teams to deliver more hypertension care, and that many needs of low morbidity patients were within the scope of primary care practice. New approaches to care coordination between primary care teams and specialists should prioritize high morbidity, clinically complex patients.

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.

Changes in office visit use associated with electronic messaging and telephone encounters among patients with diabetes in the PCMH.

PURPOSE: Telephone- and Internet-based communication are increasingly common in primary care, yet there is uncertainty about how these forms of communication affect demand for in-person office visits. We assessed whether use of copay-free secure messaging and telephone encounters was associated with office visit use in a population with diabetes. METHODS: We used an interrupted time series design with a patient-quarter unit of analysis. Secondary data from 2008-2011 spanned 3 periods before, during, and after a patient-centered medical home (PCMH) redesign in an integrated health care delivery system. We used linear regression models to estimate proportional changes in the use of primary care office visits associated with proportional increases in secure messaging and telephone encounters. RESULTS: The study included 18,486 adults with diabetes. The mean quarterly number of primary care contacts increased by 28% between the pre-PCMH baseline and the postimplementation periods, largely driven by increased secure messaging; quarterly office visit use declined by 8%. In adjusted regression analysis, 10% increases in secure message threads and telephone encounters were associated with increases of 1.25% (95% CI, 1.21%-1.29%) and 2.74% (95% CI, 2.70%-2.77%) in office visits, respectively. In an interaction model, proportional increases in secure messaging and telephone encounters remained associated with increased office visit use for all study periods and patient subpopulations (P<.001). CONCLUSIONS: Before and after a medical home redesign, proportional increases in secure messaging and telephone encounters were associated with additional primary care office visits for individuals with diabetes. Our findings provide evidence on how new forms of patient-clinician communication may affect demand for office visits.

Children's objective physical activity by location: why the neighborhood matters.

Knowledge of where children are active may lead to more informed policies about how and where to intervene and improve physical activity. This study examined where children aged 6-11 were physically active using time-stamped accelerometer data and parent-reported place logs and assessed the association of physical-activity location variation with demographic factors. Children spent most time and did most physical activity at home and school. Although neighborhood time was limited, this time was more proportionally active than time in other locations (e.g., active 42.1% of time in neighborhood vs. 18.1% of time at home). Children with any neighborhood-based physical activity had higher average total physical activity. Policies and environments that encourage children to spend time outdoors in their neighborhoods could result in higher overall physical activity.

County-level characteristics as predictors of dentists' ECC counseling in the USA: a survey study.

BACKGROUND: Transmission of Streptococcus mutans from mother-to-child can lead to Early Childhood Caries. A previous study identified characteristics and beliefs of general dentists about counseling pregnant women to reduce risk of infection and Early Childhood Caries. This study extends those findings with an analysis of county level factors. METHODS: In 2006, we surveyed 732 general dentists in Oregon, USA about dental care for pregnant women. Survey items asked about individual and practice characteristics. In the present study we matched those data to county level factors and used multinomial logistic regression to test the effects of the factors (i.e., dentist to population ratio, percentage of female dentists, percentage of females of childbearing age, and percentage of individuals living in poverty) on counseling behavior. RESULTS: County level factors were unrelated to counseling behavior when the models controlled for dentists' individual attitudes, beliefs, and practice level characteristics. The adjusted odds ratios for no counseling of pregnant patients (versus 100 percent counseling) were 1.1 (95% CI .8-1.7), 1.0 (1.0-1.1), 1.2 (.9-1.5), and 1.1 (1.0-1.2) for dentist/population ratio, percent female dentists, percent females of childbearing age, and percent in poverty, respectively Similar results were obtained when dentists who counseled some patients were compared to those counseling 100 percent of patients. CONCLUSIONS: Community level factors do not appear to impact the individual counseling behavior of general dentists in Oregon, USA regarding the risk of maternal transmission of Early Childhood Caries.

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.

Medicaid Integrated Purchasing for Physical and Behavioral Health: Early Adopters' Perceptions of Payment Reform Implementation in Washington State.

The Centers for Medicare and Medicaid Innovation (CMMI) gave rise to the State Innovation Models (SIMs). Medicaid Integrated Purchasing for Physical and Behavioral Health, referred to as Payment Model 1 (PM1), was a core payment redesign area of the Washington State SIM project under which our research team was contracted to provide an evaluation. In doing so, we leveraged an open systems conceptual model to assess qualitatively Early Adopter stakeholders' perceived effects of implementation. Between 2017 and 2019, we conducted three rounds of interviews, examining themes of care coordination, common facilitators and barriers to integration, and potential concerns for sustaining the initiative into the future. Further, we noted the initiative's complexity may require the establishment of enduring partnerships, secure funding sources, and committed regional leadership to ensure longer-term success.

Intensive care management for high-risk veterans in a patient-centered medical home - do some veterans benefit more than others?

BACKGROUND: Primary care intensive management programs utilize interdisciplinary care teams to comprehensively meet the complex care needs of patients at high risk for hospitalization. The mixed evidence on the effectiveness of these programs focuses on average treatment effects that may mask heterogeneous treatment effects (HTEs) among subgroups of patients. We test for HTEs by patients' demographic, economic, and social characteristics. METHODS: Retrospective analysis of a VA randomized quality improvement trial. 3995 primary care patients at high risk for hospitalization were randomized to primary care intensive management (n = 1761) or usual primary care (n = 1731). We estimated HTEs on ED and hospital utilization one year after randomization using model-based recursive partitioning and a pre-versus post-with control group framework. Splitting variables included administratively collected demographic characteristics, travel distance, copay exemption, risk score for future hospitalizations, history of hospital discharge against medical advice, homelessness, and multiple residence ZIP codes. RESULTS: There were no average or heterogeneous treatment effects of intensive management one year after enrollment. The recursive partitioning algorithm identified variation in effects by risk score, homelessness, and whether the patient had multiple residences in a year. Within each distinct subgroup, the effect of intensive management was not statistically significant. CONCLUSIONS: Primary care intensive management did not affect acute care use of high-risk patients on average or differentially for patients defined by various demographic, economic, and social characteristics. IMPLICATIONS: Reducing acute care use for high-risk patients is complex, and more work is required to identify patients positioned to benefit from intensive management programs.

The reliability of medical group performance measurement in a single insurer's pay for performance program.

BACKGROUND: Most public reporting and pay for performance (P4P) programs in the United States continue to be organized and implemented by single insurers. Adequate medical group-level reliability on clinical care process measures is possible in multistakeholder initiatives because patient samples can be pooled across payers. However, the extent to which reliable measurement is achievable in single insurer P4P initiatives remains unclear. METHODS: This study uses 7 years (2001 to 2007) of patient-level clinical care process data from an insurer in Washington State involving 20 medical groups. Eight clinical care process measures were analyzed. We compared the medical group-level reliability and resulting sample size requirements for each of the 8 measures using unadjusted and adjusted binary mixed models. The relation of baseline intraclass correlation coefficients (ICCs) and medical group performance change over time was examined for each clinical care process measure. RESULTS: Only 45% of all medical group measurements (group-years for all observations) had sufficient sample sizes to achieve reliable estimates of group performance. Measures with the largest deficiencies in patient samples per group included appropriate asthma treatment and low-density lipoprotein screening for patients with coronary artery disease. There was an inconsistent relationship between the size of baseline ICCs and medical group performance improvement over time. CONCLUSIONS: Unreliable performance measurement is an important consequence of the prevailing organization and implementation of public reporting and P4P programs in the US. Multi-payer collaborations may be an important vehicle for ensuring reliable medical group performance measurement and comparisons on clinical care process measures.

Local public health delivery of maternal child health services: are specific activities associated with reductions in Black-White mortality disparities?

To identify which MCH services delivered by local health departments (LHD) appear associated with reducing differences in Black-White mortality. We used a time-trend design to investigate relationships between change in MCH activities provided by LHDs in 1993 and in 2005 and changes in 1993-2005 Black-White mortality disparities. Secondary data were analyzed for 558 US counties and multi-county districts. Independent variables included the six MCH services provided by LHDs and captured in the 1993 and 2005 NACCHO Profile of Local Public Health Departments surveys. MCH service variables represented change in each service from 1993 to 2005. Control variables included selected LHD characteristics and county-level socioeconomic, demographic, and health provider resource data. Absolute change in Black and White mortality rates and changes in the mortality disparity "gap" between these rates in 1993 and 2005 were examined as dependent variables. Among the MCH services examined, prenatal care had a significant beneficial relationship with Black all-age mortality change and with reducing the mortality "gap." Family planning services had a beneficial relationship with reducing the mortality "gap" for females in the jurisdictions in the study sample. WIC services indicated the most consistently beneficial relationship with both Black mortality and White mortality change, but these changes did not influence the mortality "gap" during the study period. LHD delivery of family planning and prenatal care by LHDs appears related to reductions in Black-White mortality disparities. Implications of this study suggest the importance of certain MCH services for reducing Black-White mortality disparities.

Leadership matters: local health department clinician leaders and their relationship to decreasing health disparities.

OBJECTIVE: The activities that local health departments (LHDs) conduct and their workforce characteristics change over time. We know little, however, about how changes among the services LHDs conduct are associated with the nature of LHD leadership and how these factors impact health. This study investigated changes in LHD services and leadership and how these changes are associated with mortality disparities. DESIGN: We conducted regression analyses of secondary data using an exploratory panel time series design. MEASURES: We used secondary data to investigate changes in LHD services and leadership and how these changes were associated with each other and with 1993 to 2005 changes in black-white mortality disparities. Local health department services were examined relative to change in breadth of services within each of 10 program domains between 1993 and 2005. LHD leadership was examined for discipline of the lead executive in 1993 and 2005. STUDY POPULATION: Our sample included 558 county or multicounty "common local areas," representing county-level data for LHDs and their jurisdictions. RESULTS: Significant beneficial relationships exist between having a clinician as lead executive in an LHD and reductions in black-white mortality disparities. Local health departments with a clinician (usually a nurse or physician) as their lead executive in 1993 and/or 2005 experienced a significant decrease in black-white mortality disparities for young adults (age 15-44 years) in their jurisdictions from 1993 to 2005 when compared with LHDs with nonclinician leaders. CONCLUSIONS: The discipline of an LHD's lead executive as a clinician appears to have a significant relationship with the impact of LHD practice on reducing black-white mortality disparities. This study suggests that the discipline of an LHD's leadership may be an important factor to consider in relation to local public health capacity to impact health disparities. Further research related to the mechanisms at play in these relationships is warranted.

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.

Patient-reported racial/ethnic healthcare provider discrimination and medication intensification in the Diabetes Study of Northern California (DISTANCE).

BACKGROUND: Racial/ethnic minority patients are more likely to report experiences with discrimination in the healthcare setting, potentially leading to reduced access to appropriate care; however, few studies evaluate reports of discrimination with objectively measured quality of care indicators. OBJECTIVE: To evaluate whether patient-reported racial/ethnic discrimination by healthcare providers was associated with evidence of poorer quality care measured by medication intensification. RESEARCH DESIGN AND PARTICIPANTS: Baseline data from the Diabetes Study of Northern California (DISTANCE), a random, race-stratified sample from the Kaiser Permanente Diabetes Registry from 2005-2006, including both survey and medical record data. MAIN MEASURES: Self-reported healthcare provider discrimination (from survey data) and medication intensification (from electronic prescription records) for poorly controlled diabetes patients (A1c ≥9.0%; systolic BP ≥140 mmHg or diastolic BP ≥90 mmHg; low-density lipoprotein (LDL) ≥130 mg/dl). KEY RESULTS: Of 10,409 eligible patients, 21% had hyperglycemia, 14% had hyperlipidemia, and 32% had hypertension. Of those with hyperglycemia, 59% had their medications intensified, along with 40% with hyperlipidemia, 33% with hypertension, and 47% in poor control of any risk factor. In adjusted log-binomial GEE models, discrimination was not associated with medication intensification [RR = 0.96 (95% CI: 0.74, 1.24) for hyperglycemia, RR = 1.23 (95% CI: 0.93, 1.63) for hyperlipidemia, RR = 1.06 (95% CI: 0.69, 1.61) for hypertension, and RR = 1.08 (95% CI: 0.88, 1.33) for the composite cohort]. CONCLUSIONS: We found no evidence that patient-reported healthcare discrimination was associated with less medication intensification. While not associated with this technical aspect of care, discrimination could still be associated with other aspects of care (e.g., patient-centeredness, communication).

Implementation and progress of an inclusive primary health care model in Guatemala: coverage, quality, and utilization.

OBJECTIVE: To describe a primary health care model designed specifically for Guatemala that has been implemented in two demonstration sites since 2004 and present results of a process evaluation of utilization, service coverage, and quality of care from 2005 to 2009. METHODS: Coverage, utilization, and quality were assessed by using an automated database linking census and clinical records and were reported over time. Key maternal and child health coverage measures were compared with national-level measures. RESULTS: The postnatal coverage achieved by the Modelo Incluyente de Salud of nearly 100.0% at both sites contrasts with the national average of 25.6%. Vaccination coverage for children aged 12-23 months in the Modelo Incluyente de Salud reached 95.6% at site 1 (Bocacosta, Sololá) and 92.7% at site 2 (San Juan Ostuncalco), compared with the national average of 71.2%. Adherence to national treatment guidelines increased significantly at both sites with a marked increase between 2006 and 2007. Utilization increased significantly at both sites, with only 7.5% of families at site 1 and 11.2% of families at site 2 not using services by the end of the 5-year period. CONCLUSIONS: Coverage, quality of care, and utilization measures increased significantly during the 5-year period when the service delivery model was implemented. This finding suggests a strong possibility that the model may have a benefit for health outcomes as well as for process measures. The Modelo Incluyente de Salud will be financially sustained by the Ministry of Health and extended to at least three additional sites. The model provides important lessons for primary care programs internationally.

Burnout and Patient Referral Among Primary Care Providers in Veterans Affairs Patient Aligned Care Teams (VA PACTs).

Using the Veterans Health Administration's 2018 national provider and staff survey, this study describes the practice patterns of 1453 primary care providers for specialty care consults, program referrals, secure messaging, and telephone visits; and examines whether the practice patterns are associated with provider burnout in primary care teamlets. About 51% of providers experienced moderate to severe burnout and 22% had severe burnout. Providers who embraced all 4 practice approaches had lower odds of severe burnout than providers endorsing none of the approaches (odds ratio range, 0.35-0.39). Associations were weaker for providers with moderate to severe burnout.