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Author(s): Lindsay Arthur [sup.1] , Parthak Prodhan [sup.1] [sup.2] , Richard Blaszak [sup.3] , Brendan Crawford [sup.3] , Clare C. Brown [sup.4] , Jason Arthur [sup.5] [sup.6] Author Affiliations: (1) [...], Background Lung ultrasound is a well-established technique to assess extravascular lung water, a proxy for volume status, in the adult population. Despite its utility, the data are limited supporting the use of ultrasound to evaluate fluid volume status among pediatric patients. Our study uses a simplified ultrasound protocol to evaluate changes in extravascular lung water, represented by b-lines, among pediatric patients undergoing hemodialysis. Methods This prospective single-center study included children from birth to 18 years of age. The number of b-lines per ml/kg of fluid removed was compared prior to, at the midpoint, and following termination of dialysis. An 8-zone protocol was utilized, and b-lines were correlated to hemoconcentration measured by the CRIT-LINE® hematocrit. Results Six patients with a total of 26 hemodialysis sessions were included in this study. The b-line measurements post-dialysis were 2.27 (p < 0.001; 94%CI -3.31, -1.22) lower relative to pre-dialysis. The number of b-lines was reduced by 1.69 (p < 0.001; -2.58, -0.80) between pre-dialysis and at the midpoint of dialysis and by 0.58 (p = 0.001; -0.90, -0.24) between the midpoint of dialysis and post-dialysis. A 1 mL/kg fluid loss correlated to a decrease in the original b-lines by 0.079. An inverse relationship (r = -0.54; 95% CI: -0.72, -0.34; p < 0.001) was noted between the b-lines and the patients&apos; hematocrit levels. Conclusions A simplified 8-zone ultrasound protocol can assess fluid volume change in real time and correlates with hematocrit levels obtained throughout dialysis. This provides a valuable method for monitoring fluid status in volume overloaded patient populations. Graphical abstract

Background: Telehealth is a rapidly growing modality for expanding healthcare access, especially in the post-COVID-19 era. However, telehealth requires high-quality broadband, thus making broadband a social determinant of health. The objective of this study was to evaluate the association between broadband access and telehealth utilization across the United States during the COVID-19 pandemic. Methods: Using a cross-sectional, ecological study design, we merged county-level data on broadband capacity (Microsoft's Rural Broadband Initiative), telehealth utilization among Medicare Fee-for-Service beneficiaries from January through September 2020 (CareJourney), and county-level socioeconomic characteristics (Area Health Resources Files). Multivariable linear regression was used to estimate the association between broadband capacity, county-level characteristics, and telehealth utilization. Results: Among the 3107 counties, those with the greatest broadband availability (quintile 5) had 47% higher telehealth utilization compared to counties with the least broadband availability (quintile 1). In the adjusted model, a 1 standard deviation (SD) increase in broadband access was associated with a 1.54 percentage point (pp) increase in telehealth utilization (P < 0.001). Rural county designation (−1.96 pp; P < 0.001) and 1 SD increases in average Medicare beneficiary age (−1.34 pp; P = 0.001), number of nursing home beds per 1000 individuals (−0.38 pp; P = 0.002), and proportion of Native Americans/Pacific Islanders (−0.59 pp; P < 0.001) were associated with decreased telehealth utilization. Conclusion: The association between broadband access and telehealth utilization and the decreased telehealth utilization in rural areas highlight the importance of broadband access for healthcare access and the need to continue investing in broadband infrastructure to promote equitable healthcare access across populations. [ABSTRACT FROM AUTHOR]

Purpose: To evaluate the impact of the 2022 infant formula shortage on self-reported anxiety and depression. Background: The US national infant formula shortage of 2022 originated from supply chain disruptions triggered by the COVID-19 pandemic, and the shortage was further compounded by a recall of tainted formula products. Methods: We used survey-weighted data from the Household Pulse Survey (HPS) to measure self-reported anxiety and depression among individuals with formula-fed infants less than 1 year of age. We evaluated the association between 2 formula disruption variables (being impacted by the infant formula shortage or having difficulty obtaining formula in the last 7 days) with 2 mental health outcomes (anxiety and depression) using multivariable logistic regressions. Results: We found increased odds of self-reported anxiety (aOR: 3.13; P < .001) and depression (aOR: 3.05; P = .005) for respondents affected by the infant formula shortage. There were no adjusted associations between having difficulty obtaining formula in the last 7 days and anxiety and depression. Conclusions: Individuals affected by the infant formula shortage had increased odds of both anxiety and depression. Continued efforts to improve food security for low-income infants is critical for ensuring equitable nutritional and health outcomes across infant populations. Implications for practice and research: Continued efforts to reduce food insecurity for low-income infants are critically needed, as infant nutrition impacts caregiver mental health and infant health. Efforts to improve lactation support and breastfeeding initiation are needed in addition to improvements in access to formula. [ABSTRACT FROM AUTHOR]

This study examined if there was difference in cost of care after implementation of scattered bed inpatient hospice, first implemented in October 2021 in an Academic Medical Center in Arkansas. This retrospective, cross-sectional study compared the cost of care during the pre-implementation phase (n = 121, July 2020-March 2021) to patients admitted to hospice care (n = 84, October 2021-June 2022). Hospice length of stay (LOS) was 4 times longer than the LOS after a Do Not Resuscitate order (DNR) was placed for patients in the pre-implementation period. The end of life costs after the implementation of inpatient hospice was 69% less than the end of life costs in the pre-implementation period. [ABSTRACT FROM AUTHOR]

Background and Aims: Longitudinal change in income is crucial in explaining cardiovascular health inequalities. However, there is limited evidence for cardiovascular disease (CVD) risk associated with income dynamics over time among individuals with type 2 diabetes (T2D). Methods: Using a nationally representative sample from the Korean National Health Insurance Service database, 1 528 108 adults aged 30–64 with T2D and no history of CVD were included from 2009 to 2012 (mean follow-up of 7.3 years). Using monthly health insurance premium information, income levels were assessed annually for the baseline year and the four preceding years. Income variability was defined as the intraindividual standard deviation of the percent change in income over 5 years. The primary outcome was a composite event of incident fatal and nonfatal CVD (myocardial infarction, heart failure, and stroke) using insurance claims. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated after adjusting for potential confounders. Results: High-income variability was associated with increased CVD risk (HRhighest vs. lowest quartile 1.25, 95% CI 1.22–1.27; Ptrend <.001). Individuals who experienced an income decline (4 years ago vs. baseline) had increased CVD risk, which was particularly notable when the income decreased to the lowest level (i.e. Medical Aid beneficiaries), regardless of their initial income status. Sustained low income (i.e. lowest income quartile) over 5 years was associated with increased CVD risk (HRn = 5 years vs. n = 0 years 1.38, 95% CI 1.35–1.41; Ptrend <.0001), whereas sustained high income (i.e. highest income quartile) was associated with decreased CVD risk (HRn = 5 years vs. n = 0 years 0.71, 95% CI 0.70–0.72; Ptrend <.0001). Sensitivity analyses, exploring potential mediators, such as lifestyle-related factors and obesity, supported the main results. Conclusions: Higher income variability, income declines, and sustained low income were associated with increased CVD risk. Our findings highlight the need to better understand the mechanisms by which income dynamics impact CVD risk among individuals with T2D. Structured Graphical Abstract This study investigates the association between income dynamics over five years and incident composite cardiovascular outcomes in non-elderly individuals with type 2 diabetes. Our graphical abstract highlights significant associations between cardiovascular risk and income metrics, including income variability (standard deviation of percent change), changes in income status (rise and decline), and cumulative number of years in low- or high-income status. [ABSTRACT FROM AUTHOR]

Previous machine learning approaches fail to consider race and ethnicity and social determinants of health (SDOH) to predict childhood asthma exacerbations. A predictive model for asthma exacerbations in children is developed to explore the importance of race and ethnicity, rural-urban commuting area (RUCA) codes, the Child Opportunity Index (COI), and other ICD-10 SDOH in predicting asthma outcomes. Insurance and coverage claims data from the Arkansas All-Payer Claims Database were used to capture risk factors. We identified a cohort of 22,631 children with asthma aged 5–18 years with 2 years of continuous Medicaid enrollment and at least one asthma diagnosis in 2018. The goal was to predict asthma-related hospitalizations and asthma-related emergency department (ED) visits in 2019. The analytic sample was 59% age 5–11 years, 39% White, 33% Black, and 6% Hispanic. Conditional random forest models were used to train the model. The model yielded an area under the curve (AUC) of 72%, sensitivity of 55% and specificity of 78% in the OOB samples and AUC of 73%, sensitivity of 58% and specificity of 77% in the training samples. Consistent with previous literature, asthma-related hospitalization or ED visits in the previous year (2018) were the two most important variables in predicting hospital or ED use in the following year (2019), followed by the total number of reliever and controller medications. Predictive models for asthma-related exacerbation achieved moderate accuracy, but race and ethnicity, ICD-10 SDOH, RUCA codes, and COI measures were not important in improving model accuracy. [ABSTRACT FROM AUTHOR]

The article discusses a study by Margerison and colleagues which evaluated changes in five categories of pregnancy-associated death during the first two years of COVID-19 pandemic. Topics include racial/ethnic disparities in each of the incidental or accidental causes, significant increases in different types of pregnancy-associated deaths during the first two years of the pandemic, and a template of evaluations of inequities provided by the researchers outside the perinatal space.

Background: Data dashboards have become more widely used for the public communication of health-related data, including in maternal health. Objective: We aimed to evaluate the content and features of existing publicly available maternal health dashboards in the United States. Methods: Through systematic searches, we identified 80 publicly available, interactive dashboards presenting US maternal health data. We abstracted and descriptively analyzed the technical features and content of identified dashboards across four areas: (1) scope and origins, (2) technical capabilities, (3) data sources and indicators, and (4) disaggregation capabilities. Where present, we abstracted and qualitatively analyzed dashboard text describing the purpose and intended audience. Results: Most reviewed dashboards reported state-level data (58/80, 72%) and were hosted on a state health department website (48/80, 60%). Most dashboards reported data from only 1 (33/80, 41%) or 2 (23/80, 29%) data sources. Key indicators, such as the maternal mortality rate (10/80, 12%) and severe maternal morbidity rate (12/80, 15%), were absent from most dashboards. Included dashboards used a range of data visualizations, and most allowed some disaggregation by time (65/80, 81%), geography (65/80, 81%), and race or ethnicity (55/80, 69%). Among dashboards that identified their audience (30/80, 38%), legislators or policy makers and public health agencies or organizations were the most common audiences. Conclusions: While maternal health dashboards have proliferated, their designs and features are not standard. This assessment of maternal health dashboards in the United States found substantial variation among dashboards, including inconsistent data sources, health indicators, and disaggregation capabilities. Opportunities to strengthen dashboards include integrating a greater number of data sources, increasing disaggregation capabilities, and considering end-user needs in dashboard design. [ABSTRACT FROM AUTHOR]

Objectives. To evaluate the effect of COVID-19 on Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) receipt among pregnant individuals overall and by race/ethnicity. Methods. We measured changes in WIC receipt among Medicaid-covered births (n = 10 484 697) from the US National Center for Health Statistics Natality Files (2016–2022). Our interrupted time series logistic model included a continuous monthly variable, a binary post-COVID variable, and a continuous slope shift variable. We additionally fit separate models for each race/ethnicity relative to White individuals, using interaction terms between the time series variables and race/ethnicity. Results. We found decreases in WIC receipt (adjusted odds ratio [AOR] = 0.899; P <.001) from before COVID (66.6%) to after COVID (57.9%). There were larger post-COVID decreases for American Indian/Alaska Native (AOR = 0.850; P <.001), Native Hawaiian/Other Pacific Islander (AOR = 0.877; P =.003), Black (AOR = 0.974; P <.001), and Hispanic (AOR = 0.972, P <.001) individuals relative to White individuals. Conclusions. The greater reductions in WIC receipt among minoritized individuals highlights a pathway through which the pandemic may have widened gaps in already disparate maternal and infant health. Public Health Implications. Continued efforts to increase WIC utilization are needed overall and among minoritized populations. (Am J Public Health. 2023;113(S3):S240–S247. https://doi.org/10.2105/AJPH.2023.307525) [ABSTRACT FROM AUTHOR]

Understanding the extent to which demographic and socioeconomic factors play a role in the disparities associated with duration between testing positive for COVID-19 and hospital admission will help in achieving equitable health outcomes. This project linked the statewide COVID-19 registry to administrative datasets to examine the variation in times between testing positive for COVID-19 and hospital admission by race/ethnicity and insurance. In 2020, there were 11,314 patients admitted for COVID-19 in Arkansas. Approximately 42.2% tested positive for COVID-19 on the same day as hospital admission. Black patients had 38% higher odds of hospitalization on the day of testing compared with White patients (p<.001). Medicaid and uninsured patients had 51% and 50% higher odds of admission on the day of testing compared with privately insured patients (both p<.001), respectively. This study highlights the implications of reduced access to testing with respect to equitable health outcomes. [ABSTRACT FROM AUTHOR]

Background: The relationship between physical comorbidities and postpartum hospital readmission is well studied, with less research regarding the impact of mental health conditions on postpartum readmission. Methods: Using hospital discharge data (2016–2019) from the Hospital Cost and Utilization Project Nationwide Readmissions Database (n = 12,222,654 weighted), we evaluated the impact of mental health conditions (0, 1, 2, and ≥3), as well as five individual conditions (anxiety, depressive, bipolar, schizophrenic, and traumatic/stress-related conditions) on readmission within 42 days, 1–7 days ("early"), and 8–42 days ("late") of hospitalization for birth. Results: In adjusted analyses, the rate of 42-day readmission was 2.2 times higher for individuals with ≥3 mental health conditions compared to those with none (3.38% vs. 1.56%; p < 0.001), 50% higher among individuals with 2 mental health conditions (2.33%; p < 0.001), and 40% higher among individuals with 1 mental health condition (2.17%; p < 0.001). We found increased adjusted risk of 42-day readmission for individuals with anxiety (1.98% vs. 1.59%; p < 0.001), bipolar (2.38% vs. 1.60%; p < 0.001), depressive (1.93% vs. 1.60%; p < 0.001), schizophrenic (4.00% vs. 1.61%; p < 0.001), and traumatic/stress-related conditions (2.21% vs. 1.61%; p < 0.001), relative to individuals without the respective condition. Mental health conditions had larger impacts on late (8–42 day) relative to early (1–7 day) readmission. Conclusions: This study found strong relationships between mental health conditions during the hospitalization for birth and readmission within 42 days. Efforts to reduce the high rates of adverse perinatal outcomes in the United States should continue to address the impact of mental health conditions during pregnancy and throughout the postpartum period. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the effect of maternal characteristics on the odds of severe maternal morbidity (SMM) through 42 days postpartum. Study Design: We conducted a retrospective observational study of 77 172 births using birth certificate and insurance claims data from the Arkansas All Payers Claims Database, years 2013‐2017, to identify racial disparities associated with SMM for births between April 1, 2014, and November 19, 2017. Methods: Multiple logistic regression was used to examine the effect of sociodemographic factors and clinical comorbidities on the odds of SMM among non‐Hispanic white ("white"), non‐Hispanic Black ("Black"), and Hispanic women. Results: The rate of SMM was 227.41 per 10 000 births, with Black women (330 per 10 000 births; 95% CI: 296.16‐366.38), having a significantly higher rates than white women (197; 95% CI: 171.72‐225.84) and Hispanic women (180; 95% CI: 155.86‐207.54). After adjusting for maternal demographics, birth‐related clinical variables, and comorbidities, SMM remained higher among Black women (aOR 1.37; 95% CI 1.11‐1.70) relative to white women. Conclusions: Comorbidities, socioeconomic factors, and other factors did not fully explain the Black–white disparities in SMM. Persistent disparities in the rates of SMM throughout 42 days postpartum among Black women relative to white women points to the need for higher quality, more equitable care for women of color in the fist months postpartum. [ABSTRACT FROM AUTHOR]

Vaccines are one of the most successful tools for protecting the public's health. However, widespread vaccine hesitancy in the Southern United States is preventing effective mitigation of the current COVID-19 pandemic. The purpose of this study was to assess COVID-19 vaccine acceptance among adults living in a largely rural Southern state. This cross-sectional study collected data from 1,164 Arkansas residents between October 3 and October 17, 2020 using random digit dialing. The primary outcome was a multidimensional COVID-19 vaccine acceptance measure with scores between -3 to +3. The full COVID-19 vaccine acceptance scale was measured along with perceived vaccine safety, effectiveness, acceptance, value, and legitimacy subscales. Statistical analyses were conducted using multivariable linear regression. Results indicated Black participants had the lowest overall vaccine acceptance (0.5) compared to White participants (1.2). Hispanic participants had the highest scores (1.4). In adjusted models, Black participants had 0.81 points lower acceptance than White participants, and Hispanic participants had 0.35 points higher acceptance. Hispanic participants had the highest scores for all five vaccine acceptance subscales, relatively equivalent to White participants. Black participants had consistently lower scores, especially perceived vaccine safety (mean -0.2, SD 0.1). In conclusion, the lowest vaccine acceptance rates were among Black participants particularly on perceived vaccine safety. While Black participants had the lowest acceptance scores, Hispanic participants had the highest. This variability shows the value of a multidimensional vaccine acceptance measure to inform COVID-19 vaccination campaign strategies. [ABSTRACT FROM AUTHOR]

OBJECTIVE: To examine trends and prevalence of lean diabetes among adults in the U.S. from 2015 to 2020, overall and stratified by age, sex, and race/ethnicity. RESEARCH DESIGN AND METHODS: An exploratory study design evaluated the prevalence and trends of lean diabetes among 2,630,463 (unweighted) adults aged ≥18 years who responded to the Behavioral Risk Factor Surveillance System (BRFSS), years 2015 to 2020. RESULTS: Diabetes increased significantly among lean adults with BMI of <25 kg/m2 from 4.5% (95% CI 4.3–4.7) in 2015 to 5.3% (95% CI 5.0–5.7) in 2020, representing a 17.8% increase (odds ratio 1.21; 95% CI 1.12–1.31), with no significant change among overweight/obese adults. Increases in diabetes prevalence among lean adults varied by subgroup with Black, Hispanic, and female populations seeing the largest growth. CONCLUSIONS: The prevalence of lean diabetes among the U.S. adult population is increasing, with larger increases among women and populations of color. [ABSTRACT FROM AUTHOR]

The article discusses research which evaluated the variation in low birthweight and prematurity among racial and ethnic subcategories by using the U.S. National Center for Health Statistics data from 2016-2020). Topics covered include the disparities in rates of preterm birth and low birthweight across racial and ethnic subcategories, the variation in adverse birth outcomes within racial and ethnic groups, and the intragroup differences concealed by the broad racial and ethnic categorization.

This study evaluated relationships between county-level social vulnerability and broadband access using spatial clustering and regression approaches. County-level broadband availability (Federal Communications Commission [FCC] and Microsoft; 2019–2020), social vulnerability (COVID-19 Community Vulnerability Index [CCVI]; 2020), and primary care access (Area Health Resource File; 2019–2020) data sets were used. Two measures of broadband availability were considered: (1) Microsoft system-reported proportion of county population with broadband and (2) difference in FCC-reported and Microsoft-reported proportions of county population with broadband. Cluster maps were constructed using local Moran's I, and spatial Durbin models were estimated using primary care shortage designation and CCVI themes (socioeconomic status, minority status, housing/transportation/disability, epidemiological risk, health care system, high-risk environment, and population density). Among 3102 counties, county-level broadband coverage varied widely between Microsoft (0.39) and FCC (0.84), with greater coverage in the East and West, and larger discrepancies between FCC and Microsoft data in the South and Appalachia. In spatial regressions, a one-point increase in socioeconomic status vulnerability (0—least; 10—most vulnerable), was associated with a 2.0 percentage point (pp) reduction in broadband access (P < 0.001). Similar inverse relationships were observed with housing, epidemiological, and health care system variables. There were greater divergences between FCC and Microsoft measures with each one-point increase in socioeconomic status (1.4 pp), epidemiological risk (0.6 pp), and health care system (0.7 pp) vulnerability. More vulnerable counties had lower broadband and larger divergences between FCC and Microsoft data. Broadband is necessary for utilizing telehealth services; careful considerations in measuring broadband access can facilitate policies that improve equitable access to care. [ABSTRACT FROM AUTHOR]

The given document is an abstract supplement from the Journal of Clinical & Translational Science. It includes summaries of various research studies. The first study examines the factors predictive of trainee acceptance in a research program at Penn State. The second study investigates a novel treatment paradigm for prostate cancer using irreversible electroporation and low-dose radiation. The third study assesses the composition and characteristics of research papers that score high on alternative metrics. The fourth study explores the association between specialty care for asthma and adverse outcomes in children enrolled in the Arkansas Medicaid program. The fifth study evaluates the ability of a biofeedback game called Mightier to scaffold the learning of emotion regulation in children. The sixth study examines temporal trends in cannabis and tobacco use among young adults in relation to cannabis policy. The seventh study explores the roles and expectations of evaluators within a Learning Health System. [Extracted from the article]

Objectives. To identify client- and state-level factors associated with positive treatment response among heroin and opioid treatment episodes in the United States. Methods. We used national data from 46 states using the Treatment Episode Dataset‒Discharges (2018) to identify heroin and opioid treatment episodes (n = 162 846). We defined positive treatment response as a decrease in use between admission and discharge. We used multivariable regression, stratified by race/ethnicity, to identify demographic, pain-related, and state-level factors associated with positive treatment response. Results. Lower community distress was the strongest predictor of better treatment outcomes across all racial/ethnic groups, particularly among White and American Indian/Alaska Native episodes. A primary opioid of heroin was associated with worse outcomes among White and Hispanic episodes. Legislation limiting opioid dispensing was associated with better outcomes among Hispanic episodes. Buprenorphine availability was strongly associated with better outcomes among Black episodes. Conclusions. State-level variables, particularly community distress, had greater associations with positive treatment outcomes than client-level variables. Public Health Implications. Changes in state-level policies and increased resources directed toward areas of high community distress have the potential to improve opioid use disorder treatment and reduce racial/ethnic disparities in treatment outcomes. (Am J Public Health. 2022;112(S1):S66–S76. https://doi.org/10.2105/AJPH.2021.306503) [ABSTRACT FROM AUTHOR]