Comparing race and ethnicity across safety-net and non-safety net practices pre- and post-an HIV screening alert.

CONTEXT: Societal and economic burdens of human immunodeficiency virus (HIV) continue to grow, even as treatments and prevention for this disease becomes more readily available and efficacious. HIV screening is more likely to be performed in minority (including Black) patient populations compared to whites. The likelihood of getting screened also depends on primary care practice attributes. OBJECTIVE: Evaluate HIV screening demographics by safety-net and non-safety net practices. STUDY DESIGN and ANALYSIS: Pre-post analysis. SETTING: Atrium Health is a non-profit, vertically integrated healthcare system with approximately 16 million patient encounters per year across the Southeast US. POPULATION STUDIED: Twelve primary care practices, including four safety-net practices serving predominantly Medicaid and uninsured patients, with over 115,00 patients between the ages of 18 and 64 were selected for the educational intervention. INTERVENTION/INSTRUMENT: A system-wide electronic medical record alert prompting HIV screening was implemented in October 2017 targeting adults between 18-64 years old. In addition to the system alert, a provider peer-to-peer educational program detailing HIV disease epidemiology, screening recommendations, and algorithms to guide screening efforts was developed. OUTCOME MEASURES: HIV screenings. RESULTS: From October 2016- April 2017, 3,413 patients were screened for HIV at the twelve participating primary care practices. Immediately after the HIV alert activation, from October 2017 - April 2018, 6,256 patients were screened, resulting in an 83% increase in screening. However, increases were different based on practice type, race and ethnicity. Black patients in safety net clinics had higher screening rates prior to the alert and showed less of an increase in screening (37%) compared to whites (102%) after the alert was activated. Hispanic/Latino patients showed similar increases at both safety net (99%) and non-safety net (108%) practices. Both Black and white patients showed larger increases of 99% and 139% in non-safety net clinics. Chi-squared analysis comparing the percentage of patients screened during these time periods was significantly different (p=0.001). CONCLUSION: While race and practice characteristics influence the likelihood of HIV screening, EMR modifications and provider education can significantly enhance screening and care for patients with HIV regardless of race and practice type.

Using the Consolidated Framework for Implementation Research (CFIR) to evaluate implementation effectiveness of a facilitated approach to an asthma shared decision making intervention.

OBJECTIVE: To describe the evaluation of implementation effectiveness of an asthma shared decision making (SDM) intervention at the 10 individual facilitator-led primary care practices in the ADAPT-NC Study using the Consolidated Framework for Implementation Research (CFIR). METHODS: Practices were scored across 40 CFIR constructs within 5 domains using a previously published scoring system of -2 to +2. Based on overall construct scores, practices were then classified as high, medium, or low adopters. To evaluate clinical outcomes, changes in asthma exacerbations were assessed for emergency department (ED) visits, hospitalizations, and oral steroid prescription orders. Using regression analysis, the absolute change in percent for each outcome relative to the CFIR score for each practice was analyzed. (Trial registration #NCT02047929). RESULTS: Implementation effectiveness was reflected in CFIR score differences with 7 high, 1 medium, and 2 low adopter practices. High adopters mostly scored well across all domains. Weaknesses were consistent amongst the 2 low adopters with lower scores in the Inner Setting, Characteristics of Individuals, and Process domains. While no significant correlations were seen between the practices' CFIR scores and the absolute change in ED visits, hospitalizations, or oral steroid prescription orders, practices with higher percentages of children had greater improvements in clinical outcomes. CONCLUSIONS: The CFIR was used to evaluate the asthma SDM intervention implementation at 10 facilitator-led practices. While there was no significant correlation between higher implementation effectiveness and greater improvement in clinical outcomes, practices with a higher proportion of pediatric patients did experience a significant reduction in overall exacerbations post-implementation.

Asthma dissemination around patient-centered treatments in North Carolina (ADAPT-NC): a cluster randomized control trial evaluating dissemination of an evidence-based shared decision-making intervention for asthma management.

Objective: To compare three dissemination approaches for implementing an asthma shared decision-making (SDM) intervention into primary care practices. Methods: We randomized thirty practices into three study arms: (1) a facilitator-led approach to implementing SDM; (2) a one-hour lunch-and-learn training on SDM; and (3) a control group with no active intervention. Patient perceptions of SDM were assessed in the active intervention arms using a one-question anonymous survey. Logistic regression models compared the frequency of asthma exacerbations (emergency department (ED) visits, hospitalizations, and oral steroid prescriptions) between the three arms. Results: We collected 705 surveys from facilitator-led sites and 523 from lunch-and-learn sites. Patients were more likely to report that they participated equally with the provider in making the treatment decision in the facilitator-led sites (75% vs. 66%, p = 0.001). Comparisons of outcomes for patients in the facilitator-led (n = 1,658) and lunch-and-learn (n = 2,613) arms respectively vs. control (n = 2,273) showed no significant differences for ED visits (Odds Ratio [OR] [95%CI] = 0.77[0.57-1.04]; 0.83[0.66-1.07]), hospitalizations (OR [95%CI] = 1.30[0.59-2.89]; 1.40 [0.68-3.06]), or oral steroids (OR [95%CI] =0.95[0.79-1.15]; 1.03[0.81-1.06]). Conclusion: Facilitator-led dissemination was associated with a significantly higher proportion of patients sharing equally in decision-making with the provider compared to a traditional lunch-and-learn approach. While there was no significant difference in health outcomes between the three arms, the results were most likely confounded by a concurrent statewide asthma initiative and the pragmatic implementation of the intervention. These results offer support for the use of structured approaches such as facilitator-led dissemination of complex interventions into primary care practices.

Using Community-Based Participatory Research to Develop Geospatial Models Toward Improving Community Health for Disadvantaged Hispanic Populations in Charlotte, NC.

Hispanic immigrant communities across the U.S. experience persistent health disparities and barriers to primary care. We examined whether community-based participatory research (CBPR) and geospatial modeling could systematically and reproducibly pinpoint neighborhoods in Charlotte, North Carolina with large proportions of Hispanic immigrants who were at-risk for poor health outcomes and health disparities. Using a CBPR framework, we identified 21 social determinants of health measures and developed a geospatial model from a subset of those measures to identify neighborhoods with large proportions of Hispanic immigrant populations at risk for poor health outcomes. The geospatial model included four measures-poverty, English ability, acculturation and violent crime-which comprised our Hispanic Health Risk Index (HHRI). We developed a Primary Care Barrier Index (PCBI) to determine (1) how well the HHRI correlated with a statistically derived composite measure incorporating all 21 measures identified through the CBPR process as being associated with access to primary care; (2) whether the HHRI predicted primary care access as well as the statistically-derived composite measure in a statistical model; and (3) whether the HHRI identified similar neighborhoods as the statistically derived composite measure. We collapsed 17 of the 21 social determinants using principal components analysis to develop the PCBI. We determined the correlation of each index with inappropriate emergency department (ED) visits, a proxy for primary care access, using logistic generalized estimating equations. Results from logistic regression models showed positive associations of both the HHRI and the PCBI with the use of the ED for primary care treatable conditions. Enhanced by the knowledge of the local community, the CBPR process with geospatial modeling can guide the multi-tiered validation of social determinants of health and identify neighborhoods that are at-risk for poor health outcomes and health disparities.

Results from a pragmatic prospective cohort study: Shared decision making improves outcomes for children with asthma.

OBJECTIVE: Patient/provider shared decision making (SDM) improves asthma control in a pragmatic clinical trial setting. This study evaluated the impact of an evidence-based SDM toolkit on outcomes for patients with asthma implemented by providers in a real world setting. We hypothesized that these patients with asthma would demonstrate improved outcomes such as reduced emergency department (ED) visits, hospitalizations, and oral steroid use in the 12 months following a SDM visit compared to those who did not receive the intervention. METHODS: Patients with asthma were identified within six primary care practices that serve vulnerable populations in Charlotte, NC (746 children; 718 adult patients). Propensity scores were used to match 200 children and 206 adults for analysis. The primary outcome variable was asthma exacerbation defined as an ED visit or hospitalization for asthma or outpatient prescription of an oral steroid. Patients were monitored at 3, 6, and 12 months after the intervention date. The outcome variables of ED visits, hospitalizations, and oral steroids were compared between intervention and matched control patients. RESULTS: The proportion of pediatric patients with one or more exacerbations was significantly lower in the SDM intervention group compared to controls during 12 months after exposure to the intervention (33% vs. 47%, p = 0.023). For adults, there was not a strong association between use of the SDM intervention and outcomes improvement. CONCLUSIONS: The evidence-based SDM intervention implemented in this study was associated with improved asthma outcomes for pediatric patients but not adult patients in a real world clinical setting.

Patients' and providers' perceptions of asthma and asthma care: a qualitative study.

BACKGROUND: Differences in patients' and providers' perceptions of asthma and asthma care can create barriers to successful treatment. The primary goal of this qualitative study was to further explore patient and provider perceptions of asthma and asthma care as part of a larger Asthma Comparative Effectiveness Study. METHODS: Focus groups held every 6 months for 3 years were designed to have a mix of both patients and providers allowing for unique understanding around asthma care. RESULTS: The discussion centered on goal setting, asthma action plans and prevention strategies for asthma exacerbations. Three overarching themes, with a variety of subthemes, emerged as the main findings of this study. The three main themes were Cost/Economic Barriers/Process, Self-Governance/Adherence and Education. CONCLUSIONS: These themes indicated a strong need for patient educational interventions around asthma as well as education for providers around cost, insurance coverage and patient-centered communication. Specifically, education on learning to use inhalers properly, avoiding triggers and understanding the importance of a controller medication will benefit patients in the long-term management of asthma.

Evaluating primary care delivery systems for an uninsured Hispanic immigrant population.

Hispanic populations experience disparities in health outcomes and health care. Using participatory methods, we evaluated 4 systems of primary care delivery for an uninsured Hispanic population. Best practices were determined that could be translated back to the partner clinics and the community. The assessment included patient service areas, provider discussion groups, patient surveys, calculation of travel distances, and costs. The following best practices were identified: improved proximity to services, enhanced bilingual services, affordable services, and integrated services. Researchers and providers not only identified translatable service delivery practices but also laid the foundation for ongoing research partnerships.

Using Geographic Information Systems (GIS) to understand a community's primary care needs.

INTRODUCTION: A key element for reducing health care costs and improving community health is increased access to primary care and preventative health services. Geographic information systems (GIS) have the potential to assess patterns of health care utilization and community-level attributes to identify geographic regions most in need of primary care access. METHODS: GIS, analytical hierarchy process, and multiattribute assessment and evaluation techniques were used to examine attributes describing primary care need and identify areas that would benefit from increased access to primary care services. Attributes were identified by a collaborative partnership working within a practice-based research network using tenets of community-based participatory research. Maps were created based on socioeconomic status, population density, insurance status, and emergency department and primary care safety-net utilization. RESULTS: Individual and composite maps identified areas in our community with the greatest need for increased access to primary care services. CONCLUSIONS: Applying GIS to commonly available community- and patient-level data can rapidly identify areas most in need of increased access to primary care services. We have termed this a Multiple Attribute Primary Care Targeting Strategy. This model can be used to plan health services delivery as well as to target and evaluate interventions designed to improve health care access.

Geographic Information Systems (GIS) demonstrating primary care needs for a transitioning hispanic community.

BACKGROUND: Hispanics are the largest and fastest growing minority group in the United States. Charlotte, NC, had the 4th fastest growing Hispanic community in the nation between 1990 to 2000. Gaining understanding of the patterns of health care use for this changing population is a key step toward designing improved primary care access and community health. METHODS: The Multiple Attribute Primary Care Targeting Strategy process was applied to key patient- and community-level attributes describing the Charlotte Hispanic community. Maps were created based on socioeconomic status, population density, insurance status, and use of the emergency department as a primary care safety net. Each of these variables was weighed and added to create a single composite map. RESULTS: Individual attribute maps and the composite map identified geographic locations where Hispanic community members would most benefit from increased access to primary care services. CONCLUSIONS: Using the Multiple Attribute Primary Care Targeting Strategy process we were able to identify geographic areas within our community where many Hispanic immigrants face barriers to accessing appropriate primary care services. These areas can subsequently be targeted for interventions that improve access to primary care and reduce emergency department use. The geospatial model created through this process can be monitored over time to determine the effectiveness of these interventions.

Population pharmacokinetics of the active metabolite of leflunomide in pediatric subjects with polyarticular course juvenile rheumatoid arthritis.

Leflunomide is a pyrimidine synthesis inhibitor used in the treatment of rheumatoid arthritis. Data from two clinical studies were used to establish a population pharmacokinetic (PPK) model for the active metabolite (M1) of leflunomide in patients with juvenile rheumatoid arthritis (JRA) and determine appropriate pediatric doses. Seventy-three subjects 3-17 years of age provided 674 M1 concentrations. The PPK model was derived from nonlinear mixed-effects modeling and qualified by cross-study evaluation and predictive check. A one-compartment model with first-order input described M1 PPK well. Body weight (WT) correlated weakly with oral clearance (CL/F = 0.020.[WT/40](0.430)) and strongly with volume of distribution (V/F = 5.8.[WT/40](0.769)). Steady-state concentrations (C(ss)) of M1 in JRA were compared for a variety of leflunomide dose regimens using Monte-Carlo simulation. To achieve comparable C(ss) values in pediatric patients with JRA to that in adult patients, doses of leflunomide should be adjusted modestly: 10 mg/d for 10-20 kg, 15 mg/d for 20-40 kg, and 20 mg/d for > 40 kg.