Search

Introduction:Remote patient monitoring (RPM) is a form of telehealth that improves quality of care for chronic disease treatment and reduces hospital readmission rates. Geographical proximity to health care is important for individuals of low socioeconomic status (SES) who face additional financial and transportation barriers. The goal of this study was to assess the association between social determinants of health and adoption of RPM. Methods:This cross-sectional study analyzed data from hospitals that responded to the American Hospital Association's Annual Survey (2018) and spatially linked census tract–level environmental and social determinants of health obtained from the Social Vulnerability Index (2018). Results:A total of 4,206 hospitals (1,681 rural and 2,525 urban hospitals) met study criteria. Rural hospitals near households in the lower middle quartile SES were associated with a 33.5% lower likelihood of having adopted RPM for chronic care management compared with rural hospitals near households in the highest quartile SES (adjusted odds ratios [aOR] = 0.665; 95% confidence interval [CI]: 0.453–0.977). Urban hospitals near households in the lowest quartile SES were associated with a 41.9% lower likelihood of having adopted RPM for chronic care management compared with urban hospitals near households in the highest quartile SES (aOR = 0.581; 95% CI: 0.435–0.775). Similar trends in accessibility were found with RPM for postdischarge services among urban hospitals. Conclusion:Our findings highlight the importance of hospital responsibility and state and federal policy approaches toward ensuring equitable access to RPM services for patients characterized by lower SES. [ABSTRACT FROM AUTHOR]

Introduction: The COVID-19 pandemic has prompted a shift in health care delivery and compelled a heavier reliance on telehealth. The objective of this study was to determine if differences in coverage policies by payer type resulted in differential telehealth use during the first 3 months of the COVID-19 pandemic. In this population-based cohort study of low-income Arkansans, Medicaid beneficiaries enrolled in the traditional Primary Care Case Management (PCCM) program were compared with Medicaid beneficiaries covered through premium assistance in private Qualified Health Plans (QHPs). Methods: A retrospective review was conducted of insurance claims records from June 1, 2019, to June 30, 2020, for synchronous telehealth and mobile health (m-health) visits, as well as other forms of telehealth. To establish the baseline equivalence of enrollees in the two groups, propensity score matching design was used on demographic and geographic characteristics, Charlson Comorbidity Index, broadband availability, and prior service utilization. Results: Compared with enrollees in the PCCM program, Medicaid expansion enrollees in QHPs had higher odds of having had at least one telehealth visit (adjusted odds ratio [aOR] = 1.35, 95% confidence interval [CI]: 1.29–1.42) during the early phase of the COVID-19 pandemic. Categorizing utilizations by domain, QHP enrollees were more likely to use synchronous telehealth (aOR = 1.31; 95% CI: 1.25–1.37) and m-health (aOR = 5.91; 95% CI: 4.25–8.21). A higher proportion of QHP enrollees also had at least one mental or behavioral health telehealth session (aOR = 1.13; 95% CI: 1.07–1.19). Conclusions: Our study demonstrated that within low-income populations, payer type was associated with inequitable access to telehealth during the early phase of the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

BACKGROUND We examined prevalence, incidence, and trajectory of obesity from kindergarten through grade 8 in one of the first states to implement annual surveillance. METHODS: Participants included 16,414 children enrolled in kindergarten in Arkansas in 2004 with complete body mass index (BMI) measurements in kindergarten and eighth grade. Repeated measures of weight status were entered in multiple linear and logistic regression models with demographics and family poverty status. RESULTS: The prevalence of obesity (BMI ≥ 95th percentile) was lowest in kindergarten (14.9%), with subsequent incidence rates consistent at 4%. Prevalence and incidence peaked in eighth grade (24.5% and 4.9%, respectively), with 33.8% of children measuring obese at least once by eighth grade. Kindergarten obesity was a significant predictor of eighth grade obesity (odds ratio, 17.5; 95% confidence interval, 15.8‐19.3). We found statistically significant 3‐way interactions for sex, race, and time, suggesting unique patterns for Hispanic boys and black girls. CONCLUSIONS: Our study documents unique longitudinal patterns of obesity from kindergarten through eighth grade that expand our understanding of risk. It demonstrates the value of public school health systems that collect routine administrative data about student BMI that is integrated with education records to foster program and policy discussions. [ABSTRACT FROM AUTHOR]

OBJECTIVE: To estimate differences in the length of stay (LOS) and costs for comparable pediatric patients with and without venous thromboembolism (VTE), catheter-associated urinary tract infection (CAUT1), and pressure ulcer (PU). METHODS: We identified at-risk children 1 to 17 years old with inpatient discharges in the Nationwide Inpatient Sample. We used a high dimensional propensity score matching method to adjust for case-mix at the patient level then estimated differences in the LOS and costs for comparable pediatric patients with and without VTE, CAUTI, and PU. RESULTS: Incidence rates were 32 (VTE), 130 (CAUTI), and 3 (PU) per 10 000 at-risk patient discharges. Patients with VTE had an increased 8.1 inpatient days (95% confidence interval [Cl]: 3.9 to 12.3) and excess average costs of $27 686 (95% Cl: $11 137 to $44 235) compared with matched controls. Patients with CAUTI had an increased 2.4 inpatient days (95% Cl: 1.2 to 3.6) and excess average costs of $7200 (95% Cl: $2224 to $12 176). No statistical differences were found between patients with and without PU. CONCLUSION: The significantly extended LOS highlights the substantial morbidity associated with these potentially preventable events. Hospitals seeking to develop programs targeting VTE and CAUTI should consider the improved turnover of beds made available by each event prevented. [ABSTRACT FROM AUTHOR]

Children with special health care needs are believed to be susceptible to inequities in health and health care access. Within the group with special needs, there is a smaller group of children with medical complexity: children who require medical services beyond what is typically required by children with special health care needs. We describe health care inequities for the children with medical complexity compared to children with special health care needs but without medical complexity, based on a secondary analysis of data from the 2005-06 and 2009-10 National Survey of Children with Special Health Care Needs. The survey examines the prevalence, health care service use, and needs of children and youth with special care needs, as reported by their families. The inequities we examined were those based on race/ethnicity, primary language in the household, insurance type, and poverty status. We found that children with medical complexity were twice as likely to have at least one unmet need, compared to children without medical complexity. Among the children with medical complexity, unmet need was not associated with primary language, income level, or having Medicaid. We conclude that medical complexity itself can be a primary determinant of unmet needs. [ABSTRACT FROM AUTHOR]

The magnitude of stress and associated health consequences experienced by caregivers compromises their ability to effectively provide care to children, especially children with disability. We used latent class analysis of data from the 2010 Ohio Family Health Survey and identified 3 distinct classes of caregivers based on patterns of responses to 15 financial and psychological stresses they experienced. Compared with children residing in households in which caregivers experienced very little or no stress, children with disability were twice as likely to reside with caregivers with high levels of financial stress and almost 3.5 times as likely to reside with caregivers with high levels of financial stress and very high levels of psychological stress than typically developing children. Reducing caregiver stress is a critical step to ensuring the best health outcomes possible for children with disability. We identify the heterogeneity that is present in the population of caregivers by virtue of patterns of responses to various financial and psychological stressors. Children with disability are more likely to live in households in which a greater number of stressors affect caregivers. Different confounders are also associated with the latent classes of stress we identify. This is an important implication when determining the right interventions to target to the right subpopulations. [ABSTRACT FROM AUTHOR]

OBJECTIVE: To understand factors associated with pediatric inpatient safety events, we test 2 hypotheses: (1) scarce resources (as measured by Medicaid burden) in safety-net hospitals relative to non-safety-net hospitals result in higher rates of safety events; and (2) higher levels of severity and more chronic conditions in patient populations lead to higher rates of safety events within hospital category and in children's hospitals in comparison with non-children's hospitals. METHODS: All nonnewborn pediatric hospital discharge records, which met criteria for potentially experiencing at least 1 pediatric quality indicator (PDI) event (using Agency for Healthcare Research and Quality's 2009 Nationwide Inpatient Sample and PDI) and weighted to represent national level estimates, were analyzed for patterns of PDI events within and across hospital categories by using bivariate comparisons and multivariable logit models with robust SEs. The outcome measure "ANY PDI" captures the number of pediatric discharges at the hospital level with 1 or more PDI event. RESULTS: High Medicaid burden does not seem to be a factor in the likelihood of ANY PDI. Severity of illness (adjusted odds ratio high relative to low, 15.12) and presence of chronic conditions (adjusted odds ratio 1 relative to 0, 1.78; relative to 2 or more, 3.38) are the strongest predictors of ANY PDI events. CONCLUSIONS: Our findings suggest that the patient population served, rather than hospital category, best predicts measured quality, underscoring the need for robust risk adjustment when incentivizing quality or comparing hospitals. Thus, problems of quality may not be systemic across hospital categories. [ABSTRACT FROM AUTHOR]

Nearly 30 percent of young adults with special health care needs in Ohio lack health insurance, compared to 5 percent of the state's children with special health care needs. As children with such needs become too old for Medicaid or insurance through their parents' employer, they face great challenges in obtaining insurance. Lack of insurance is highly predictive of unmet needs, which in turn are predictive of costly hospital-based encounters. Young adults with special health care needs who are uninsured are more than twice as likely as their peers with insurance to forgo filling prescriptions and getting care and to have problems getting care. Even after insurance status is accounted for, young adults with special health care needs are more likely than children with such needs to not fill prescriptions because of cost and to delay or forgo needed care. This study demonstrates that continuous and adequate health insurance is vital to the continued well- being of children with special health care needs as they transition to young adulthood. [ABSTRACT FROM AUTHOR]

Abstract: The Low Glycemic Index and Cholesterol study was a 12-week randomized clinical trial comparing the effects on serum lipids of a novel low-fat/low-glycemic index (GI) diet with those of a low-fat only diet in adults with hypercholesterolemia. Sixty-two subjects (men and women) with elevated serum low-density lipoprotein cholesterol were randomized to one of the two dietary interventions. The low-GI intervention included substituting low-GI carbohydrates for high-GI carbohydrates. Dietary assessment and serum lipid measurements were performed at baseline (BL), 4 weeks (FV4), and 12 weeks (FV12). In the low-fat/low-GI group, dietary GI and glycemic load significantly decreased between the BL and FV4 and BL and FV12 time intervals; however, there were no significant differences in lipid values between the two groups at any time point. Importantly, whereas high-density lipoprotein cholesterol was unchanged in the low-fat/low-GI group over the 12 weeks, it decreased 5 mg/dL (11.4%) in the low-fat only group (P = .05). [Copyright &y& Elsevier]

Little is known about advance care planning among young adults with congenital heart defects (CHD). Congenital Heart Survey to Recognize Outcomes, Needs, and well-beinG (CH STRONG) participants were born with CHD between 1980 and 1997, identified using active, population-based birth defects surveillance systems in Arkansas, Arizona and Atlanta, and Georgia, and surveyed during 2016–2019. We estimated the percent having an advance care directive standardized to the site, year of birth, sex, maternal race, and CHD severity of the 9312 CH STRONG-eligible individuals. We calculated adjusted odds ratios (aOR) and 95% confidence intervals (CI) for characteristics associated with having advance care directives. Of 1541 respondents, 34.1% had severe CHD, 54.1% were female, and 69.6% were non-Hispanic white. After standardization, 7.3% had an advance care directive (range: 2.5% among non-Hispanic blacks to 17.4% among individuals with "poor" perceived health). Individuals with severe CHD (10.5%, aOR = 1.6, 95% CI: 1.1–2.3), with public insurance (13.1%, aOR = 1.7, 95% CI: 1.1–2.7), with non-cardiac congenital anomalies (11.1%, aOR = 1.9, 95% CI: 1.3–2.7), and who were hospitalized in the past year (13.3%, aOR = 1.8, 95% CI: 1.1–2.8) were more likely than their counterparts to have advance care directives. Individuals aged 19–24 years (6.6%, aOR = 0.4, 95% CI: 0.3–0.7) and 25–30 years (7.6%, aOR = 0.5, 95% CI: 0.3–0.8), compared to 31–38 years (14.3%), and non-Hispanic blacks (2.5%), compared to non-Hispanic whites (9.5%, aOR = 0.2, 95% CI: 0.1–0.6), were less likely to have advance care directives. Few young adults with CHD had advance care directives. Disparities in advance care planning may exist. [ABSTRACT FROM AUTHOR]

Background: Patient ratings of their healthcare experience as a quality measure have become critically important since the implementation of the Affordable Care Act (ACA). The ACA enabled states to expand Medicaid eligibility to reduce uninsurance nationally. Arkansas gained approval to use Medicaid funds to purchase a qualified health plan (QHP) through the ACA marketplace for newly eligible beneficiaries. Objective: We compare patient-reported satisfaction between fee-for-service Medicaid and QHP participants. Design: The Consumer Assessment of Healthcare Providers and Systems (CAHPS) was used to identify differences in Medicaid and QHP enrollee healthcare experiences. Data were analyzed using a regression discontinuity design. Participants: Newly eligible Medicaid expansion participants enrolled in Medicaid during 2013 completed the Consumer Assessment of Health Providers and Systems (CAHPS) survey in 2014. Survey data was analyzed for 3156 participants (n = 1759 QHP/1397 Medicaid). Measures: Measures included rating of personal and specialist provider, rating of all healthcare received, and whether the provider offered to communicate electronically. Demographic and clinical characteristics of the enrollees were controlled for in the analyses. Methods: Regression-discontinuity analysis was used to evaluate differential program effects on positive ratings as measured by the CAHPS survey while controlling for demographic and health characteristics of participants. Key Results: Adjusted logistic regression models for overall healthcare (OR = 0.71, 95%CI = 0.56–0.90, p = 0.004) and personal doctor (OR = 0.68, 95%CI = 0.53–0.87, p = 0.002) predicted greater satisfaction among QHP versus Medicaid participants. Results were not significant for specialists or for use of electronic communication with provider. Conclusions: Using a quasi-experimental statistical approach, we were able to control for observed and unobserved heterogeneity showing that among participants with similar characteristics, including income, QHP participants rated their personal providers and healthcare higher than those enrolled in Medicaid. Access to care, utilization of care, and healthcare and health insurance literacy may be contributing factors to these results. [ABSTRACT FROM AUTHOR]

More than 500,000 people in the US experience homelessness at any given time, many of whom now qualify for Medicaid in states that expanded coverage under the Affordable Care Act (ACA). In this article we use a novel data set from Arkansas to provide the first estimates of the association between gaining coverage through the ACA's Medicaid expansion and health services use for a population experiencing homelessness. We find that Medicaid expansion was associated with large initial increases in inpatient hospitalizations and emergency department visits--which declined steadily over time--among adults experiencing homelessness compared with use by a sample of adult traditional Medicaid enrollees. Our results provide evidence of substantial pent-up demand for health care among a population experiencing homelessness in Arkansas that gained health insurance coverage as a result of Medicaid expansion. [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]

Background Despite frequent life-long hemodynamic and electrophysiologic abnormalities, adults with congenital heart defects (CHDs) are often lost to medical follow-up. Using a cohort of adults with CHD receiving hospital care in Arkansas, we sought to determine how often a CHD is recognized and coded during hospital admissions. Methods Data for this study come from the Agency for Healthcare Research and Quality's Arkansas State Inpatient Database (SID) for years 2004 to 2012. Using unique identifiers that link patients across hospitalizations, we created a cohort of 3973 patients ≥ 18 years old with an ICD-9 code for a CHD diagnosis noted at discharge during any hospitalization. Results These 3973 patients had 19,638 hospitalizations. A CHD was listed as the principal diagnosis in 3% of hospitalizations, a secondary diagnosis in 22%, and no CHD was listed in 75% of hospitalizations. Among patients with a critical CHD, no critical CHD was noted in 69% of hospitalizations. Cardiovascular events (heart failure, arrhythmias, cerebrovascular accidents, embolic event, or death) occurred in 60% of hospitalizations of critical CHD patients wherein no critical CHD was recorded. Conclusions CHDs are rarely acknowledged during hospitalizations of adults with a known CHD even when cardiovascular events occur. Improved awareness, disclosure and attention to comorbid CHDs among patients and providers may improve hospital management and outcomes of cardiovascular events. [ABSTRACT FROM AUTHOR]

BACKGROUND: Limited population-based information is available on long-term survival of US individuals with congenital heart defects (CHDs). Therefore, we assessed patterns in survival from birth until young adulthood (ie, 35 years of age) and associated factors among a population-based sample of US individuals with CHDs. METHODS: Individuals born between 1980 and 1997 with CHDs identified in 3 US birth defect surveillance systems were linked to death records through 2015 to identify those deceased and the year of their death. Kaplan-Meier survival curves, adjusted risk ratios (aRRs) for infant mortality (ie, death during the first year of life), and Cox proportional hazard ratios for survival after the first year of life (aHRs) were used to estimate the probability of survival and associated factors. Standardized mortality ratios compared infant mortality, >1-year mortality, >10-year mortality, and >20-year mortality among individuals with CHDs with general population estimates. RESULTS: Among 11 695 individuals with CHDs, the probability of survival to 35 years of age was 81.4% overall, 86.5% among those without co-occurring noncardiac anomalies, and 92.8% among those who survived the first year of life. Characteristics associated with both infant mortality and reduced survival after the first year of life, respectively, included severe CHDs (aRR=4.08; aHR=3.18), genetic syndromes (aRR=1.83; aHR=3.06) or other noncardiac anomalies (aRR=1.54; aHR=2.53), low birth weight (aRR=1.70; aHR=1.29), and Hispanic (aRR=1.27; aHR=1.42) or non-Hispanic Black (aRR=1.43; aHR=1.80) maternal race and ethnicity. Individuals with CHDs had higher infant mortality (standardized mortality ratio=10.17), >1-year mortality (standardized mortality ratio=3.29), and >10-year and >20-year mortality (both standardized mortality ratios -1.5) than the general population; however, after excluding those with noncardiac anomalies, >1-year mortality for those with nonsevere CHDs and >10-year and >20-year mortality for those with any CHD were similar to the general population. CONCLUSIONS: Eight in 10 individuals with CHDs born between1980 and 1997 survived to 35 years of age, with disparities by CHD severity, noncardiac anomalies, birth weight, and maternal race and ethnicity. Among individuals without noncardiac anomalies, those with nonsevere CHDs experienced similar mortality between 1 and 35 years of age as in the general population, and those with any CHD experienced similar mortality between 10 and 35 years of age as in the general population. [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]

Children with medical complexity (CMC) have multiple specialty need, technology dependence, and high health care utilization. The objective of this study is to profile types of pediatric health care utilization and costs by increasing levels of medical complexity. This is a cross-sectional study of the 2007, 2008 and 2009 Full-Year Data Sets from the Medical Expenditure Panel Survey. Medical complexity was defined by a higher number of positive items from the five question children with special health care needs (CSHCN) Screener. CMC were defined by ≥4 positive screener items. Outcomes included the number of inpatient, outpatient, and emergency department visits, associated costs and diagnoses, and reported satisfaction. ICD-9 codes were grouped by Clinical Classifications Software. Of 27,755 total study subjects ≤17 years, 4,851 had special needs and 541 were CMC. Older age, male gender, white/non-Hispanic race/ethnicity, and public insurance were all associated with medical complexity (all p < 0.001). CMC had an annual mean of 19 annual outpatient visits ($616) and 0.26 inpatient visits ($3,308), with other significant cost drivers including home health ($2,957) and prescriptions ($2,182). The most common reasons for non-CSHCN and less-complex CSHCN outpatient visits were viral illnesses, while the main reasons for CMC visits were for mental health. Compared to families without CSHCN, those with CMC have, on average, lower satisfaction with health care (8.4 vs. 8.9 out of 10, p < 0.001). Health care models for CMC should account for mental health conditions that may be driving high numbers of outpatient encounters. [ABSTRACT FROM AUTHOR]

OBJECTIVE: The goal was to determine the association between short-duration (⩽3 days) and long-duration (⩾4 days) intravenous antibiotic therapy and treatment failure in a cohort of young infants hospitalized with urinary tract infections (UTIs). METHODS: We conducted a retrospective cohort study of infants <6 months of age who were hospitalized with UTIs between 1999 and 2004 at 24 children's hospitals in the Pediatric Health Information System. Our main model adjusted for all covariates, propensity scores, and clustering according to hospital to evaluate the effect of short versus long courses of inpatient intravenous antibiotic therapy on treatment failure, defined as readmission because of UTI within 30 days. RESULTS: Of the 12333 infants who met the inclusion criteria, 240 (1.9%) experienced treatment failure. The treatment failure rates were 1.6% for children who received short-course intravenous antibiotic treatment and 2.2% for children who received long-course treatment. Treatment courses varied substantially across hospitals and with patient-level characteristics. After multivariate adjustment, including propensity scores, there was no significant association between treatment group and outcomes, with an odds ratio for long versus short-treatment of 1.02 (95% confidence interval: 0.77-1.35). Known presence of genitourinary abnormalities, but not age, predicted treatment failure. CONCLUSIONS: Treatment failure for generally healthy young infants hospitalized with UTIs is uncommon and is not associated with the duration of intravenous antibiotic treatment. Treating more infants with short courses of intravenous antibiotic therapy might decrease resource use without affecting readmission rates. [ABSTRACT FROM AUTHOR]

BACKGROUND AND OBJECTIVES: The Following Baby Back Home (FBBH) home visiting program supports families of high-risk low birth weight preterm infants after discharge from a hospital NICU. This study compares the health care use, immunization, and infant mortality rate of low birth weight preterm infants enrolled in FBBH with similar infants not in the program. METHODS: From January 2013 to December 2017, 498 children enrolled in FBBH were identified in Arkansas vital statistics records and the Arkansas All-Payer Claims Database. Infants in FBBH were matched with children in a control group on the basis of demographics and medical conditions of the infant. Generalized linear mixed models with double propensityscore adjustment were used to estimate program effects. RESULTS: In the first year after discharge and compared with a propensity-score matched cohort of control infants, those enrolled in FBBH were significantly more likely to have higher numbers of medical appointments and more compliant immunization history. The odds of dying in the first year of life for control infants was 4.4 times (95% confidence interval: 1.2-20.7) higher than those managed in the program. CONCLUSIONS: A goal of the FBBH home visiting program is to work with parents to educate and support them as they care for their medically fragile infants. We conclude that education and support was instrumental in the infant health care use and outcome differences we observed during the first year of life. [ABSTRACT FROM AUTHOR]

Introduction: Childhood obesity continues to be a significant public health issue in the U.S. and is associated with short- and long-term adverse health outcomes. A number of states have implemented school-based BMI screening programs. However, these programs have been criticized for not being effective in improving students' BMI or reducing childhood obesity. One potential benefit, however, of screening programs is the identification of younger children at risk of obesity as they age.Methods: This study used a unique panel data set from the BMI screening program for public school children in the state of Arkansas collected from 2003 to 2004 through the 2018-2019 academic years and analyzed in 2020. Machine learning algorithms were applied to understand the informational value of BMI screening. Specifically, this study evaluated the importance of BMI information during kindergarten to the accurate prediction of childhood obesity by the 4th grade.Results: Kindergarten BMI z-score is the most important predictor of obesity by the 4th grade and is much more important to prediction than sociodemographic and socioeconomic variables that would otherwise be available to policymakers in the absence of the screening program. Including the kindergarten BMI z-score of students in the model meaningfully increases the accuracy of the prediction.Conclusions: Data from the Arkansas BMI screening program greatly improve the ability to identify children at greatest risk of future obesity to the extent that better prediction can be translated into more effective policy and better health outcomes. This is a heretofore unexamined benefit of school-based BMI screening. [ABSTRACT FROM AUTHOR]

B Learning Objectives: b Red cell distribution width (RDW) is measured as part of the complete blood cell count (CBC). RDW values were categorized by quartiles: Q1 RDW <13.4%, Q2 RDW 13.4-14.3%, Q3 RDW 14.4-15.7%, Q4 RDW>15.7%. [Extracted from the article]