Spatial dynamics of access to primary care for the medicaid population

Racial and Ethnic Patient Care Disparities in Anesthesiology: History, Current State, and a Way Forward

Disparities in patient care and outcomes are well-documented in medicine but have received comparatively less attention in anesthesiology. Those disparities linked to racial and ethnic identity are pervasive, with compelling evidence in operative anesthesiology, obstetric anesthesiology, pain medicine, and critical care. This narrative review presents an overview of disparities in perioperative patient care that is grounded in historical context followed by potential solutions for mitigating disparities and inequities.

The Affordable Care Act and child asthma: Lowering health care barriers by raising our voices

BACKGROUND

This policy discussion addresses the provisions of the Affordable Care Act (ACA) that impact children with asthma.

PURPOSE

The purpose of this policy paper is to inform health care professionals and lawmakers about ACA provisions affecting pediatric asthma care and provide recommendations for policy changes that can improve equitable care for children with asthma.

METHODS

The issues addressed involve discrimination, Medicaid policy oversight, quality improvement stategy, data collection, school-based health care funding, accountable care organization reimbursement, and the extension of dependent coverage.

DISCUSSION

Health care policy development that focuses on human rights, and not market valuation, could reduce health inequity among children with asthma.

CONCLUSION

Policy recommendations are presented to improve asthma care for a population that is largely vulnerable due to age, socioeconomic status, and discrimination.

Using Electronic Health Records to understand the population of local children captured in a large health system in Durham County, NC, USA, and implications for population health research

Although local policies aimed at reducing childhood health inequities can benefit from local data, sample size constraints in population representative health surveys often prevent rigorous evaluations of child health disparities and health care patterns at local levels. Electronic Health Records (EHRs) offer a possible solution as they contain large amounts of information on pediatric patients within a health system. In this paper, we consider the suitability of using EHRs from a large health system to study local children's health by evaluating the extent to which the EHRs capture the county's child population. First, we compare the demographic characteristics of Duke University Health System pediatric patients who live in Durham County, NC (USA) to the child population estimates in the 2015-2019 American Community Survey. We then examine geographic variation in census tract rates of children captured in the EHR data and estimate negative binomial models to assess how tract characteristics are associated with these rates. We also perform these analyses for the subset of pediatric patients who have a well-child encounter. We find that the demographic characteristics of pediatric patients captured by the EHRs are similar to those of the county's child population. Although the county rate of children captured in the EHRs is high, there is variation across census tracts. On average, census tracts with higher concentrations of non-Hispanic Black residents have lower capture rates and tracts with higher concentrations of poverty have higher capture rates, with the poorest tracts showing the largest racial gap in rates of children captured by EHRs. Our findings suggest that EHRs from a large health system can be used to assess children's population health, but that EHR-based evaluations of children's health disparities and health care patterns should account for differences in who is captured by the EHRs based on census tract characteristics.

Health insurance, pediatric asthma, and emergency department usage

This study synthesized current research on the relationships between type of insurance and emergency department usage for children with asthma in the United States. Thematic analysis is in the context of the Affordable Care Act (ACA). A systematic mapping review yielded 20 articles published in the last 10 years on topics of insurance, emergency department usage, and pediatric asthma. Analysis indicates continued trends of increased emergency department use among asthmatic children since enactment of the ACA, running counter to the goal of fiscal efficiency for the healthcare system and reduction of health inequities. Barriers to care persist, particularly among communities of color, despite provisions to improve access to primary and preventive care. Inadequate access to primary care is associated with poor adherence among asthmatic children with public insurance. Those with health insurance through their parents' employer experience barriers due to cost-sharing expenses. This leads to increased asthma severity and low medication adherence, resulting in the need for emergency care. A disconnect between increased health insurance coverage and utilization of primary care in some populations implies unmet service needs that warrant further investigation. Findings inform policymakers and public health leaders of persistent health inequities resulting in preventable emergency department usage.

Evidence of Modeling Impact in Development of Policies for Controlling the Opioid Epidemic and Improving Public Health: A Scoping Review

BACKGROUND

Opioid addiction and overdose rates are reaching unprecedented levels in the U.S., with around 47,736 overdose deaths in 2017. Many stakeholders affect the opioid epidemic, including government entities, healthcare providers and policymakers, and opioid users. Simulation and conceptual modeling can help us understand the dynamics of the opioid epidemic by simplifying the real world and informing policymakers about different health interventions that could reduce the deaths caused by opioid overdose in the United States every year.

OBJECTIVES

To conduct a scoping review of simulation and conceptual models that propose policies capable of controlling the opioid epidemic. We demonstrate the strengths and limitations of these models and provide a framework for further improvement of future decision support tools.

METHODS

Using the methodology of a scoping review, we identified articles published after 2000 from eight electronic databases to map the literature that uses simulation and conceptual modeling in developing public health policies to address the opioid epidemic.

RESULTS

We reviewed 472 papers of which 14 were appropriate for inclusion. Each used either system dynamics simulation modeling, mathematical modeling, conceptual modeling, or agent-based modeling. All included studies tested and proposed strategies to improve health outcomes related to the opioid epidemic. Factors considered in the models included physicians prescribing opioids, trafficking, users recruiting new users, and doctor shopping; no model investigated the impact of age and spatial factors on the dynamics of the epidemic. Key findings from these studies were (1) prevention of opioid initiation is better than treatment of opioid addiction, (2) the analysis of an intervention's impact should include both benefits and harms, and (3) interventions with short-term benefits might have a counterproductive impact on the epidemic in long run.

CONCLUSIONS

While most studies examined the role of prescription opioids and trafficking on this epidemic, the transition of patients from prescription opioid use to nonprescription use including heroin and synthetic opioids such as fentanyl impacts the system significantly and results in an epidemic with quite different characteristics than what it had a decade ago. We recommend including the impact of age and geographic location on the opioid epidemic using modeling methods.