Gut microbiome features associated with liver fibrosis in Hispanics, a population at high risk for fatty liver disease

BACKGROUND AND AIMS

Hispanics are disproportionately affected by NAFLD, liver fibrosis, cirrhosis, and HCC. Preventive strategies and noninvasive means to identify those in this population at high risk for liver fibrosis, are urgently needed. We aimed to characterize the gut microbiome signatures and related biological functions associated with liver fibrosis in Hispanics and identify environmental and genetic factors affecting them.

APPROACH AND RESULTS

Subjects of the population-based Cameron County Hispanic Cohort (CCHC; n = 217) were screened by vibration-controlled transient elastography (FibroScan). Among them, 144 (66.7%) had steatosis and 28 (13.0%) had liver fibrosis. The gut microbiome of subjects with liver fibrosis was enriched with immunogenic commensals (e.g., Prevotella copri, Holdemanella, Clostridiaceae 1) and depleted of Bacteroides caccae, Parabacteroides distasonis, Enterobacter, and Marinifilaceae. The liver fibrosis-associated metagenome was characterized by changes in the urea cycle, L-citrulline biosynthesis and creatinine degradation pathways, and altered synthesis of B vitamins and lipoic acid. These metagenomic changes strongly correlated with the depletion of Parabacteroides distasonis and enrichment of Prevotella and Holdemanella. Liver fibrosis was also associated with depletion of bacterial pathways related to L-fucose biosynthesis. Alcohol consumption, even moderate, was associated with high Prevotella abundance. The single-nucleotide polymorphisms rs3769502 and rs7573751 in the NCK adaptor protein 2 (NCK2) gene positively associated with high Prevotella abundance.

CONCLUSION

Hispanics with liver fibrosis display microbiome profiles and associated functional changes that may promote oxidative stress and a proinflammatory environment. These microbiome signatures, together with NCK2 polymorphisms, may have utility in risk modeling and disease prevention in this high-risk population.

Patients From Medically Underserved Areas Are at Increased Risk for Nonhome Discharge and Emergency Department Return After Total Joint Arthroplasty

BACKGROUND

Maryland Health Enterprise Zones (MHEZs) were introduced in 2012 and encompass underserved areas and those with reduced access to healthcare providers. Across the United States many underserved and minority populations experience poorer total joint arthroplasty (TJA) outcomes seemingly because they reside in underserved areas. The purpose of this study is to identify and quantify the relationship between living in an MHEZ and TJA outcomes.

METHODS

Retrospective review of 11,451 patients undergoing primary TJA at a single institution from July 1, 2014 to June 30, 2020 was conducted. Patients were classified based on whether they resided in an MHEZ. Statistical analyses were used to compare outcomes for TJA patients who live in MHEZ and those who do not.

RESULTS

Of the 11,451 patients, 1057 patients lived in MHEZ and 10,394 patients did not. After risk adjustment, patients who live in an MHEZ were more likely to return to the emergency department within 90 days postoperatively and were less likely to be discharged home than those patients who do not live in an MHEZ.

CONCLUSION

Total joint arthroplasty patients residing in MHEZ appear to present with poorer overall health as measured by increased American Society of Anesthesiologists and Hierarchical Condition Categories scores, and they are less likely to be discharged home and more likely to return to the emergency department within 90 days. Several factors associated with these findings such as socioeconomic factors, household composition, housing type, disability, and transportation may be modifiable and should be targets of future population health initiatives.

The Impact of a Pediatric Medical-Legal Partnership on Pediatric Providers: A Qualitative Study

OBJECTIVE

Medical-Legal Partnerships (MLPs) integrate medical and legal care to address prevalent health-harming legal needs (HHLN) among socioeconomically marginalized populations. MLPs address a diverse array of social determinants of health (SDOH) and have been shown to positively impact children's health. Less is known, however, about how MLPs affect health care providers. MLPs may affect child health by changing clinical practice and provider behavior, and transforming providers' relationships with their patients and patients' families. Examining and understanding how MLPs affect providers is thus critical to elucidating how MLPs may ultimately impact child health.

METHODS

We examined one pediatric MLP at an academic medical center in New Haven, Connecticut. We conducted semi-structured interviews with 20 pediatric providers who had engaged with the MLP and 20 parents/guardians who had interacted with the MLP. We analyzed the qualitative data using inductive coding, primarily drawing upon provider interviews.

RESULTS

The MLP affected providers in five major ways. The MLP 1) improved provider awareness of SDOH and HHLN, 2) expanded provider perceptions of their role and responsibilities as clinicians, 3) improved provider efficacy in addressing SDOH and HHLN, 4) empowered providers to engage in systemic advocacy, and 5) improved providers' relationships with patients' families.

CONCLUSION

Our study identifies multiple ways that a pediatric MLP affects providers. Our findings suggest that MLPs can improve patient and population health by equipping providers with the knowledge and tools needed to assist patients with HHLN and SDOH, improving provider-family relationships, and encouraging providers to engage in systemic and institutional advocacy.

Do Patients Continue to Use Video Visits? Factors Related to Continued Video Visit Use

Many studies have assessed the factors associated with overall video visit use during the COVID-19 pandemic, but little is known about who is most likely to continue to use video visits and why. The authors combined a survey with electronic health record data to identify factors affecting the continued use of video visit. In August 2020, a stratified random sample of 20,000 active patients from a large health care system were invited to complete an email survey on health care seeking preferences during the COVID. Weighted logistic regression models were applied, adjusting for sampling frame and response bias, to identify factors associated with video visit experience, and separately for preference of continued use of video visits. Actual video visit utilization was also estimated within 12 months after the survey. Three thousand three hundred fifty-one (17.2%) patients completed the survey. Of these, 1208 (36%) reported having at least 1 video visit in the past, lowest for African American (33%) and highest for Hispanic (41%). Of these, 38% would prefer a video visit in the future. The strongest predictors of future video visit use were comfort using video interactions (odds ratio [OR] = 5.30, 95% confidence interval [95% CI]: 3.57-7.85) and satisfaction with the overall quality (OR = 3.94, 95% CI: 2.66-5.86). Interestingly, despite a significantly higher satisfaction for Hispanic (40%-55%) and African American (40%-50%) compared with Asian (29%-39%), Hispanic (OR = 0.46, 95% CI: 0.12-0.88) and African American (OR = 0.54, 95% CI: 0.16-0.90) were less likely to prefer a future video visit. Disparity exists in the use of video visit. The association between patient satisfaction and continued video visit varies by race/ethnicity, which may change the future long-term video visit use among race/ethnicity groups.

Advancing Equity in Blood Pressure Control: A Response to the Surgeon General's Call-to-Action

Hypertension is an established risk factor for cardiovascular disease. Although controlling blood pressure reduces cardiovascular and stroke mortality and target organ damage, poor blood pressure control remains a clinical and public health challenge. Furthermore, racial and ethnic disparities in the outcomes of hypertension are well documented. In October of 2020, the U.S. Department of Health and Human Services published The Surgeon General's Call to Action to Control Hypertension. The Call to Action emphasized, among other priorities, the need to eliminate disparities in the treatment and control of high blood pressure and to address social determinants as root causes of inequities in blood pressure control and treatment. In support of the goals set in the Call to Action, this review summarizes contemporary research on racial, ethnic, and socioeconomic disparities in hypertension and blood pressure control; describes interventions and policies that have improved blood pressure control in minoritized populations by addressing the social determinants of health; and proposes next steps for achieving equity in hypertension and blood pressure control.

The citizenship shield: Mediated and moderated links between immigration status, discrimination, food insecurity, and negative health outcomes for latinx immigrants during the COVID-19 pandemic

A framework termed "the citizenship shield" is introduced to conceptualize how legal protections buffer against negative health outcomes among Latinx immigrants in the United States. In this study, we tested the citizenship shield framework in the context of the disproportionate impact of the COVID-19 pandemic on Latinx immigrants. We investigated the connection between immigration status, discrimination, food insecurity, and negative health outcomes. Analyses involved testing mediation and moderation models among a community-based sample of 536 Latinx immigrants holding five statuses (i.e., U.S. citizenship, permanent residency, Deferred Action for Childhood Arrivals, undocumented, and temporary status). Results suggested that food insecurity mediated the link between discrimination and negative impacts from the pandemic for Latinx immigrants across all statuses. Follow up analyses suggested that two of the three paths were moderated by immigration status. This research provides novel, important data to inform health interventions and federal policy targeted for the most vulnerable immigrants in the United States.

Population-Level Patterns of Prostate Cancer Occurrence: Disparities in Virginia

Prostate cancer is the most common cancer and the second leading cause of cancer-related deaths among men in the United States. In Virginia, which is a representative, ethnically diverse state of more than 8 million people that was established nearly 400 years ago, prostate cancer has the highest rate of new detection for any type of cancer. All men are at risk of developing prostate cancer regardless of demographics, but some men have an increased mortality risk due to cancer metastasis. Notably, one in five African American men will be diagnosed with prostate cancer in their lifetime and they have the highest prostate cancer mortality rate of any ethnic group in the United States, including Virginia. A person's genetic profile and family history are important biological determinants of prostate cancer risk, but modifiable environmental factors (e.g., pollution) appear to be correlated with patterns of disease prevalence and risk. In this review, we examine current perspectives on population-level spatial patterns of prostate cancer in Virginia. For context, recent, publicly available data from the Centers for Disease Control and Prevention are highlighted and presented in spatial format. In addition, we explore possible co-morbidities of prostate cancer that may have demographic underpinnings highlighted in recent health disparity studies.

Improvements of Disability Outcomes in CAPABLE Older Adults Differ by Financial Strain Status

The Community Aging in Place-Advancing Better Living for Elders (CAPABLE) program reduces disability in low-income older adults. In this study, we used CAPABLE baseline and 5-month data to examine whether its effects in reducing activities of daily living (ADLs) and instrumental ADLs (IADLs) difficulties differed by participants' financial strain status. At baseline, participants with financial strain were more likely to report higher scores on depression (p < .001), have low energy (p < .001), and usually feel tired (p = .004) compared with participants without financial strain, but did not differ in ADL/IADL scores. Participants with financial strain benefited from the program in reducing ADL (relative risk [RR]: 0.61, 95% confidence interval [CI]: 0.43, 0.86) and IADL disabilities (RR: 0.69, 95% CI: 0.54, 0.87), compared with those with financial strain receiving attention control. Individuals with financial strain benefited more from a home-based intervention on measures of disability than those without financial strain. Interventions that improve disability may be beneficial for financially strained older adults.

Contextual bias, the democratization of healthcare, and medical artificial intelligence in low- and middle-income countries

Medical artificial intelligence (MAI) creates an opportunity to radically expand access to healthcare across the globe by allowing us to overcome the persistent labor shortages that limit healthcare access. This democratization of healthcare is the greatest moral promise of MAI. Whatever comes of the enthusiastic discourse about the ability of MAI to improve the state-of-the-art in high-income countries (HICs), it will be far less impactful than improving the desperate state-of-the-actual in low- and middle-income countries (LMICs). However, the almost exclusive development of MAI in HICs risks this promise being thwarted by contextual bias, an algorithmic bias that arises when the context of the training data is significantly dissimilar from potential contexts of application, which makes the unreflective application of HIC-based MAI in LMIC contexts dangerous. The use of MAI in LMICs demands careful attention to context. In this paper, I aim to provide that attention. First, I illustrate the dire state of healthcare in LMICs and the hope that MAI may help us to improve this state. Next, I show that the radical differences between the health contexts of HICs and those of LMICs create an extraordinary risk of contextual bias. Then, I explore ethical challenges raised by this risk, and propose policies that will help to overcome those challenges. Finally, I sketch a wide range of related issues that need to be addressed to ensure that MAI has a positive impact on LMICs-and is able to improve, rather than worsen, global health equity.

Health disparity in CF: Perspectives from a lived experience

In this commentary, we discuss health disparities, reflecting on our experience in delayed diagnosis of cystic fibrosis based on race and bias in healthcare practitioners.

Social Media Use and Misinformation Among Asian Americans During COVID-19

Social media has been crucial for seeking and communicating COVID-19 information. However, social media has also promulgated misinformation, which is particularly concerning among Asian Americans who may rely on in-language information and utilize social media platforms to connect to Asia-based networks. There is limited literature examining social media use for COVID-19 information and the subsequent impact of misinformation on health behaviors among Asian Americans. This perspective reviews recent research, news, and gray literature to examine the dissemination of COVID-19 misinformation on social media platforms to Chinese, Korean, Vietnamese, and South Asian Americans. We discuss the linkage of COVID-19 misinformation to health behaviors, with emphasis on COVID-19 vaccine misinformation and vaccine decision-making in Asian American communities. We then discuss community- and research-driven responses to investigate misinformation during the pandemic. Lastly, we propose recommendations to mitigate misinformation and address the COVID-19 infodemic among Asian Americans.

Patient expectations and preferences for community-based hypertension classes with implications for action

BACKGROUND

Uncontrolled hypertension disproportionately affects Black men. Patient engagement with health promotion and health behavior programs for hypertension control is low. We held evidence-based hypertension classes at a Federally Qualified Health Center.

AIMS

The aim of this project was to elicit patient preferences and expectations for community-based hypertension classes.

METHODS

Group hypertension classes were held at a Federally Qualified Health Center. The priority population was Black men with hypertension. Semi-structured interviews were conducted with the group class attendees. Two independent coders performed content analysis using field notes from the interviews.

RESULTS

Seven group class attendees were interviewed. Six interviewees were Black males, one was a Black female, and the mean age was 65.7 years. Content analysis of the interview field notes revealed five content areas: (1) Recommendation of Group Classes to a Friend, (2) Expectations for the Group Classes, (3) Reasons for Continued Attendance, (4) Lifestyle Changes and Adopting the Group Class Lessons, and (5) Feedback and Recommendations to Improve Group Classes. Findings suggest that creating a cultural context in which open, transparent discussion of blood pressure occur can be achieved. Thus, regarding acceptability, classes fulfilled and often exceeded the attendees' expectations and needs.

LINKING EVIDENCE TO ACTION

Our findings suggest that community-based group classes are a viable intervention to contribute toward addressing the disparity of hypertension control among Black men. When designing peer-group interventions, taking patient preferences and expectations into account increases the effectiveness of these interventions. The qualitative narrative provided in this paper contributes to the development of similar community-based group classes for the management of severe hypertension.

The association between socioeconomic distress communities index and amputation among patients with peripheral artery disease

Background

Socioeconomic factors have been shown to be associated with amputation in peripheral artery disease (PAD); however, analyses have normally focused on insurance status, race, or median income. We sought to determine whether community-level socioeconomic distress was associated with major amputation and if that association differed by race.

Materials and methods

Community-level socioeconomic distress was measured using the distressed communities index (DCI). The DCI is a zip code level compositive socioeconomic score (0-100) that accounts for unemployment, education level, poverty rate, median income, business growth, and housing vacancies. A distressed community was defined as a zip code with DCI of 40 or greater. We calculated one-year risk of major amputation by DCI score for individuals with peripheral artery disease in South Carolina, 2012-2017. Treating death as competing event, we reported Fine and Gray subdistribution hazards ratios (sdHR), adjusted for patient demographic and clinical comorbidities associated with amputation. Further analyses were completed to identify potential differences in outcomes within strata of race and DCI.

Results

Among 82,848 individuals with peripheral artery disease, the one-year incidence of amputation was 3.5% (95% CI: 3.3%, 3.6%) and was significantly greater in distressed communities than non-distressed communities (3.9%; 95% CI: 3.8%, 4.1% vs. 2.4%; 95% CI: 2.2%, 2.6%). After controlling for death and adjusting for covariates, we found an increased hazard of amputation among individuals in a distressed community (sdHR: 1.25; 95% CI: 1.14, 1.37), which persisted across racial strata. However, regardless of DCI score, Black individuals had the highest incidence of amputation.

Conclusion

Socioeconomic status is independently predictive of limb amputation after controlling for demographic characteristics and clinical comorbidities. Race continues to be an important risk factor, with Black individuals having higher incidence of amputation, even in non-distressed communities, than White individuals had in distressed communities.

Differences in Park Walking, Comparing the Physically Inactive and Active Groups: Data from mHealth Monitoring System in Seoul

Despite the overall increase in physical activities and park uses, the discrepancies between physically inactive and active people have increasing widened in recent times. This paper aims to empirically measure the differences in walking activity in urban parks between the physically inactive and active. As for the dataset, 22,744 peoples' 550,234 walking bouts were collected from the mHealth system of the Seoul government, using the smartphone healthcare app, WalkOn, from September to November 2019, in Seocho-gu district, Seoul, Korea. We classified the physically inactive and active sample groups, based on their regular walking (≥150 min of moderate-to-vigorous walking activity a week), and analyzed their park walking activities. We found that while there was no significant difference in walking measures of non-park walking between the sample groups, the difference did exist in park walking. The park walking average in the physically active group had more steps (p = 0.021), longer time (p = 0.008), and higher intensity (p < 0.001) of walking than that in the inactive group. Each park also revealed differences in its on-site park walking quantity and quality, based on which we could draw the list of 'well-walked parks', which held more bouts and more moderate-to-vigorous physical activities (MVPAs) than other parks in Seocho-gu district. This paper addresses how park walking of physically inactive and active people is associated with multiple differences in everyday urban walking.

Delays in autism diagnosis for U.S. Spanish-speaking families: The contribution of appointment availability

Promoting equity in health services requires an understanding of the mechanisms that produce disparities. Utilizing a sequential, mixed-methods, explanatory study design, we analyzed child-, family-, and organizational-level factors and their association with wait times for an ASD diagnostic evaluation among 353 families scheduled for English and Spanish language appointments (27% Spanish language). A subset of parents and caregivers participated in English and Spanish language focus groups to provide their perspectives on the diagnostic process. Spanish language was associated with greater completion of, and time to evaluations than English language. The only variable found to mediate associations with time-to-evaluation was appointment availability - an organizational factor. Qualitative results elucidate potential explanations for greater Spanish language evaluation completion (e.g., fewer community-based diagnostic options). Results serve as a case study to support the utility and importance of analyzing the influence of organizational-level factors on delays and disparities for childhood health and mental health services. We discuss our findings in relation to strategies that can be widely applied to support equitable services access for childhood diagnostic and intervention services.

Awareness, Use and Outlook of Complementary and Alternative Medicine (CAM) Options in an Underserved, Uninsured Minority Cancer Patient Population

Integrative oncology aims to coordinate the delivery of conventional medicine and evidence-supported complementary and alternative medicine (CAM) to patients receiving cancer care. This field developed out of an increased interest in CAM usage among cancer patients. However, CAM use among medically underserved cancer patients remains to be well characterized. We evaluated CAM awareness as well as prevalence and characteristics of CAM use in 170 consecutive, medically underserved cancer patients presenting to a large, academic, inner-city cancer clinic, using a survey tool. Fifty-three participants declined participation and 17 survey results were incomplete. Therefore, 100 survey results were included in the final analysis. There were 65 males and 35 females in the survey with a mean age of 64.2 years. About 98% of the respondents were African American while 2% identified themselves as Hispanic. About 45% of patients had metastatic cancer, 24% had early-stage disease while 31% of patients were not aware of the stage of their cancer. About 55% patients had elementary school or lower level of education while only 16% had a college degree or higher. About 92% of respondents were unemployed. Some knowledge of CAM was reported by 22% of patients, while CAM use was reported in only 16% of patients. Female sex and college degree were significantly associated with CAM use. The most commonly used CAM modality was meditation (56%), followed by herbal remedies (31%), yoga (31%), and acupuncture (12%). Among CAM users, a majority used multiple CAM therapies. All users reported benefit from CAM use. Emotional wellbeing was the most common benefit followed by improvement in treatment related adverse effects, chemotherapy related symptoms, pain, and sleep. Even though the majority of our surveyed patients never used CAM, 90% of non-users were interested in gaining more information about the various CAM options and exploring its use and potential benefits. The majority (70%) wanted their primary oncologist to provide information about CAM options and discuss its safety and potential complementary benefit in management of their cancer and associated symptoms.

Characteristics and Factors Associated With Coronavirus Disease 2019 Infection, Hospitalization, and Mortality Across Race and Ethnicity

BACKGROUND

Data on the characteristics of coronavirus disease 2019 (COVID-19) patients disaggregated by race/ethnicity remains limited. We evaluated the sociodemographic and clinical characteristics of patients across racial/ethnic groups and assessed their associations with COVID-19 outcomes.

METHODS

This retrospective cohort study examined 629 953 patients tested for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in a large health system spanning California, Oregon, and Washington between March 1 and December 31, 2020. Sociodemographic and clinical characteristics were obtained from electronic health records. Odds of SARS-CoV-2 infection, COVID-19 hospitalization, and in-hospital death were assessed with multivariate logistic regression.

RESULTS

A total of 570 298 patients with known race/ethnicity were tested for SARS-CoV-2, of whom 27.8% were non-White minorities: 54 645 individuals tested positive, with minorities representing 50.1%. Hispanics represented 34.3% of infections but only 13.4% of tests. Although generally younger than White patients, Hispanics had higher rates of diabetes but fewer other comorbidities. A total of 8536 patients were hospitalized and 1246 died, of whom 56.1% and 54.4% were non-White, respectively. Racial/ethnic distributions of outcomes across the health system tracked with state-level statistics. Increased odds of testing positive and hospitalization were associated with all minority races/ethnicities. Hispanic patients also exhibited increased morbidity, and Hispanic race/ethnicity was associated with in-hospital mortality (odds ratio [OR], 1.39; 95% confidence interval [CI], 1.14-1.70).

CONCLUSION

Major healthcare disparities were evident, especially among Hispanics who tested positive at a higher rate, required excess hospitalization and mechanical ventilation, and had higher odds of in-hospital mortality despite younger age. Targeted, culturally responsive interventions and equitable vaccine development and distribution are needed to address the increased risk of poorer COVID-19 outcomes among minority populations.

Disparity in Access to Care Impacts Liver Transplant Mortality

This study aims to analyze how access to care influences patient mortality rates after liver transplants in adults by analyzing the relationships between insurance coverage, income, geographic location, and mortality rates post-transplantation. It was hypothesized that a sociodemographic variable, such as insurance type, geographical location, and income level would impact mortality rates post-liver transplant. Results showed that unknown insurance coverage increased the likelihood of mortality post-transplant, income level was not found to be a significant indicator, and patients living in the Northeast region of the United States were more likely to die post-liver transplant.

Trends in COVID-19 Health Disparities in North Carolina: Preparing the Field for Long-Haul Patients

Long-term coronavirus disease 2019 (long-COVID) refers to persistent symptoms of SARS-CoV-2 (COVID-19) lingering beyond four weeks of initial infection. Approximately 30% of COVID-19 survivors develop prolonged symptoms. Communities of color are disproportionately affected by comorbidities, increasing the risk of severe COVID-19 and potentially leading to long-COVID. This study aims to identify trends in health disparities related to COVID-19 cases, which can help unveil potential populations at risk for long-COVID. All North Carolina (NC) counties (n = 100) were selected as a case study. Cases and vaccinations per 1000 population were calculated based on the NC Department of Health and Human Services COVID-19 dashboard with reports current as of 8 October 2021, which were stratified by age groups and race/ethnicity. Then, NC COVID-19 cases were correlated to median household income, poverty, population density, and social vulnerability index themes. We observed a negative correlation between cases (p < 0.05) and deaths (p < 0.01) with both income and vaccination status. Moreover, there was a significant positive association between vaccination status and median household income (p < 0.01). Our results highlight the prevailing trend between exacerbated COVID-19 infection and low-income/under-resourced communities. Consequently, efforts and resources should be channeled to these communities to effectively monitor, diagnose, and treat against COVID-19 and potentially prevent an overwhelming number of long-COVID cases.

A systematic scoping review of racial, ethnic, and socioeconomic health disparities in pediatric dermatology

BACKGROUND/OBJECTIVES

Health disparities encompass a wide range of personal, societal, environmental, and system-based factors that contribute to inequitable health and health outcomes in vulnerable patient populations. The goal of this work was to scientifically summarize the existing published North American research on disparity as it pertains to pediatric dermatology.

METHODS

A systematic review was performed according to PRISMA guidelines. A medical librarian performed electronic searches from multiple electronic databases from their dates of inception to March 2021. Title and abstracts were reviewed by authors, identifying articles for full review. Data on article characteristics and identified disparities were then extracted and collected in a spreadsheet.

RESULTS

Fifty-one articles met final inclusion criteria, of which 25 highlighted disparities due to race/ethnicity, 13 highlighted disparities due to socioeconomic (SES), and 13 highlighted disparities due to both race/ethnicity and SES. The most frequent study designs were cross-sectional or survey, followed by retrospective cohort. Only two were prospective cohort studies. Disparities reported included reduced access to care and medications, increased school absenteeism, reduced knowledge about skin care including sun protection, increased hospitalizations and emergency department visits, and severe and persistent disease in the setting of minority race and poverty, among other indicators.

CONCLUSIONS

There are few, scattered research studies addressing disparity in pediatric dermatology. Greater focus will be needed in the future to improve knowledge of sources of disparity and its detrimental effects on the health of children, to rectify the notable disparity under-reporting of disparity research.

Racial Disparities in Avoidable Hospitalizations in Traditional Medicare and Medicare Advantage

IMPORTANCE

Compared with traditional Medicare (TM), Medicare Advantage (MA) has the potential to reduce racial disparities in hospitalizations for ambulatory care sensitive conditions (ACSC). As racial disparities may be partly attributable to unequal treatment based on where people live, this suggests the need of examining geographic variations in racial disparities.

OBJECTIVE

The aim of this study was to examine differences in ACSC hospitalizations between White and Black beneficiaries in TM and MA and examine geographic variations in racial differences in ACSC hospitalizations in TM and MA.

METHODS

We analyzed the 2015-2016 Medicare Provider Analysis and Review files. We used propensity score matching to account for differences in characteristics between TM and MA beneficiaries. Then, we conducted linear regression and estimated adjusted outcomes for TM and MA beneficiaries by race. Also, we estimated racial differences in adjusted outcomes by insurance and hospital referral region (HRR).

RESULTS

While White beneficiaries in TM and MA had similar rates of ACSC hospitalizations (163.7 vs. 162.2/10,000 beneficiaries), Black beneficiaries in MA had higher rates of ACSC hospitalizations than Black beneficiaries in TM (221.2 vs. 209.3/10,000 beneficiaries). However, the racial differences were greater in MA than TM (59.0 vs. 45.6/10,000 beneficiaries). Racial differences in ACSC hospitalizations in MA were prevalent across almost all HRRs. 95.5% of HRRs had higher rates of ACSC hospitalizations among Black beneficiaries than White beneficiaries in MA relative to just 54.2% of HRRs in TM.

CONCLUSION

Our findings provide evidence of racial disparities in access to high-quality primary care, especially in MA.

Health Disparity, Natural Disaster, and COVID-19: Perspectives From a Bahamian American Nurse

Trauma clusters are formed when 2 or more disasters occur simultaneously and/or consecutively. These disasters have the propensity to potentiate health disparities. The purpose of this article is to share thoughts about critical caring theory and how the theory can inform holistic nursing action when health disparity amplifies trauma clustering.

Birth outcomes affecting infants of mothers with intellectual and developmental disabilities

BACKGROUND

Women with intellectual and developmental disabilities (IDD) face increased risk of adverse maternal pregnancy outcomes, yet less is known about infant outcomes.

OBJECTIVES

To examine birth outcomes of infants born to mothers with IDD and assess associations with demographics and IDD-type.

METHODS

We used data from the Big Data for Little Kids project, which links Wisconsin birth records to Medicaid claims for live births covered by Medicaid from 2007 to 2016. We identified IDD using maternal prepregnancy Medicaid claims and ran Poisson regression (with a log link function) with robust variance clustered by mother to compare prevalence of outcomes between singleton births with and without mothers with IDD. We adjusted the associations for demographic factors and estimated prevalence ratios (PR) as the effect measure. We assessed outcomes by IDD-type (intellectual disability, genetic conditions, cerebral palsy, and autism spectrum disorder) to explore differences by categories of IDD.

RESULTS

Of 267,395 infants, 1696 (0.6%) had mothers with IDD. A greater percentage of infants with mothers with IDD were born preterm (12.8% vs 7.8%; PR 1.64, 95% confidence interval [CI] 1.42, 1.89), small for gestational age (8.5% vs 5.4%; PR 1.42, 95% CI 1.25, 1.61), and died within 12 months of birth (3.2% vs 0.7%; PR 4.93, 95% CI 3.73, 6.43) compared to infants of mothers without IDD. Prevalence ratios were robust to adjustment for demographics factors. Estimates did not meaningfully differ when comparing different IDD-types.

CONCLUSIONS

A greater porportion of infants born to mothers with IDD who were covered by Medicaid had poor outcomes compared to other infants. Prevalence of poor infant outcomes was greater for mothers with IDD even after accounting for demographic differences. It is imperative to understand why infants of mothers with IDD are at greater risk so interventions and management can be developed.

Spatiotemporal Analysis of Overall Health in the United States Between 2010 and 2018

Background

Although many previous studies have documented spatial heterogeneity in health outcomes across the United States at different geographic scales, spatiotemporal analyses to understand overall health are scant.

Methodology

We used the County Health Rankings (CHR) data to analyze the three types of health outcomes, viz., overall health, length of life, and quality of life for 2010-2018 in the contiguous United States employing hierarchal Bayesian methods. Composite scores were created to proxy these outcomes utilizing predefined weights of several variables as recommended by CHR. Our methods assumed a convolution of spatially structured and unstructured errors to model the overall spatial error. Spatial effects were modeled using conditional autoregressive distribution.

Results

The substantial disparity in these health outcomes was evident, with counties having poorer health outcomes mostly concentrated in the southeastern United States. Models that incorporated county-level demographic and socioeconomic characteristics partially explained the observed spatial heterogeneity in health outcomes. Interestingly, there was no time effect in any of the outcomes suggesting a perpetuation of health disparity over the years.

Conclusions

County-specific health policy interventions that take into account the contextual factors might be beneficial in improving population health and breaking the perpetuation of health disparity.

Adherence to Hepatitis C Therapy in a Shelter-Based Education and Treatment Model Among Persons Experiencing Homelessness

Background

Medication adherence is a common reason for treatment deferment in persons experiencing homelessness. We evaluated adherence to hepatitis C virus (HCV) therapy following HCV education in a shelter-based care model.

Methods

Prospective study conducted at 4 homeless shelters in Minneapolis, Minnesota and San Francisco, California from November 2018 to January 2021. Sixty-three patients underwent HCV education and treatment. Multivariable modeling evaluated factors associated with (1) medication and (2) overall (composite score of medication, laboratory, and clinic visit) adherence.

Results

Median age was 56 years; 73% of participants were male, 43% were Black, 52% had psychiatric illness, and 81% used illicit drugs and 60% used alcohol in the past year. Following education, 52% were extremely confident in their ability to be adherent to HCV therapy. Medication adherence by patient and provider report was 88% and 48%, respectively, and 81% achieved HCV cure. Active alcohol use was associated with less confidence in medication adherence (43% vs 78%, P = .04). Older age was positively (coefficient = 0.3) associated with overall adherence to HCV treatment whereas prior therapy was associated with both medication (odds ratio, 0.08) and overall treatment (coefficient = -0.87) nonadherence.

Conclusions

Despite imperfect adherence, sustained virologic response rates were still high. Expanding opportunities to treat persons experiencing homelessness in a structured and supportive setting is critical to HCV elimination efforts.