Inhaled Reliever Therapies for Asthma: A Systematic Review and Meta-Analysis.

Importance: The optimal inhaled reliever therapy for asthma remains unclear.

Objective: To compare short-acting β agonists (SABA) alone with SABA combined with inhaled corticosteroids (ICS) and with the fast-onset, long-acting β agonist formoterol combined with ICS for asthma.

Data Sources: The MEDLINE, Embase, and CENTRAL databases were searched from January 1, 2020, to September 27, 2024, without language restrictions.

Expand and extend postpartum Medicaid to support maternal and child health.

Most early maternal deaths are preventable, with many occurring within the first year postpartum (we use the terms "maternal" and "mother" broadly to include all individuals who experience pregnancy or postpartum and frame our recognition of need and policy recommendations in gender-neutral terms. To acknowledge limitations inherent in existing policy and the composition of samples in prior research, we use the term "women" when applicable). Black, Hispanic, and Native American individuals are at the most significant risk of pregnancy-related death.

Contextualizing the experiences of Black pregnant women during the COVID-19 pandemic: 'It's been a lonely ride'.

The emergence of the COVID-19 pandemic significantly changed the prenatal care experience, specifically regarding medical appointments and social opportunities. It is critical to capture this change through the narratives of pregnant people, particularly those of marginalized populations, whose voices may often be underrepresented in the literature. This mixed-methods paper summarizes the experiences of 40 pregnant Black/African American (AA) women during the COVID-19 pandemic.

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.

Implementation of Coach McLungs into primary care using a cluster randomized stepped wedge trial design.

Background: Asthma is a prevalent chronic disease that is difficult to manage and associated with marked disparities in outcomes. One promising approach to addressing disparities is shared decision making (SDM), a method by which the patient and provider cooperatively make a decision about asthma care. SDM is associated with improved outcomes for patients; however, time constraints and staff availability are noted implementation barriers.

Primary Care Evaluation of a Hepatitis C Virus (HCV) Screening Education Intervention.

Introduction: Increased screening efforts and the development of effective antiviral treatments have led to marked improvement in Hepatitis C (HCV) patient outcomes. However, many people in the US are believed to have undiagnosed HCV. Successful screening strategies and access to a coordinated system of care are critical for HCV affected adults.

Evaluation of a shared decision-making intervention for pediatric patients with asthma in the emergency department.

Background: Asthma is a difficult-to-manage chronic disease marked with associated outcome disparities including an increase rate of emergency department (ED) visits for uncontrolled asthma among patients who are most at-risk. Shared decision making (SDM) is a process by which the patient and provider jointly make a healthcare choice. SDM improves patient outcomes; however, implementation barriers of time constraints and staff availability are limitations.

Research nurses as practice facilitators to disseminate an asthma shared decision making intervention.

Background: Practice facilitation is a method of introducing and sustaining organizational change. It involves the use of skilled healthcare professionals called practice facilitators (PFs) to help address the challenges associated with implementing evidence-based guidelines and complex interventions into practice. PFs provide a framework for translating research into practice by building relationships, improving communication, fostering change, and sharing resources.

Novel Models to Identify Census Tracts for Hepatitis C Screening Interventions.

Background: Increased screening efforts and the development of effective antiviral treatments have led to marked improvement in hepatitis C (HCV) patient outcomes. However, many people in the United States are still believed to have undiagnosed HCV. Geospatial modeling using variables representing at-risk populations in need of screening for HCV and social determinants of health (SDOH) provide opportunities to identify populations at risk of HCV.

What types of dissemination of information occurred between researchers, providers and clinical staff while implementing an asthma shared decision-making intervention: a directed content analysis.

Objective: To qualitatively analyse different types of dissemination of information during monthly group calls between researchers, providers and clinical staff used to establish best practices for implementing an asthma shared decision-making (SDM) intervention. Evaluating dissemination of information can provide a better understanding of how best practices are shared, informing implementation approaches to improve the uptake of new evidence and overcome barriers.

Setting: 10 primary care practices in North Carolina.

Electronic medical record alert activation increase hepatitis C and HIV screening rates in primary care practices within a large healthcare system.

Societal and economic burdens of hepatitis C virus (HCV) and human immunodeficiency virus (HIV) continue to grow. The Centers for Disease Control and Prevention recommends a one-time HCV screen for individuals in the Baby Boomer population (those born between 1945 and 1965) and a one-time HIV screen for all individuals between ages 13-64 years regardless of risk factors, with more frequent screening for both conditions based on individual risk factors. This study took place at Atrium Health, a healthcare system with approximately 12 million patient encounters per year.

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.

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.

: To compare three dissemination approaches for implementing an asthma shared decision-making (SDM) intervention into primary care practices. : 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.

Patient and Family Engagement in the Design of a Mobile Health Solution for Pediatric Asthma: Development and Feasibility Study.

Background: Asthma is a highly prevalent, chronic disease with significant morbidity, cost, and disparities in health outcomes. While adherence to asthma treatment guidelines can improve symptoms and decrease exacerbations, most patients receive care that is not guideline-based. New approaches that incorporate shared decision-making (SDM) and health information technology (IT) are needed to positively impact asthma management.

Impact of shared decision making on asthma quality of life and asthma control among children.

Objective: Few studies have examined the effectiveness of shared decision making (SDM) in clinical practice. This study evaluated the impact of SDM on quality of life and symptom control in children with asthma.

Methods: We conducted a prospective 3-year study in six community-based practices serving a low-income patient population.

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.

Evaluation of a Pilot Asthma Care Program for Electronic Communication between School Health and a Healthcare System's Electronic Medical Record.

Objective: Asthma is a common childhood chronic lung disease affecting greater than 10% of children in the United States. School nurses are in a unique position to close gaps in care. Indeed, effective asthma management is more likely to result when providers, family, and schools work together to optimize the patient's treatment plan.

The use of carbon thirteen nuclear magnetic resonance spectra to predict dioxin and furan binding affinities to the aryl hydrocarbon receptor.

Four spectroscopic data-activity relationship (SDAR) models for polychlorinated dibenzofurans (PCDFs) and dibenzodioxins (PCDDs) binding to the aryl hydrocarbon receptor (AhR) have been developed based on simulated 13C nuclear magnetic resonance (NMR) data. Models were developed using discriminant function analysis of the compounds' spectral data. An SDAR model with two classifications for 26 PCDF compounds had a leave-one-out (LOO) cross-validation accuracy of 89%.