Association Between Prepregnancy Body Mass Index and Newborn Breastfeeding Initiation.

Background: The benefits of breastfeeding a newborn are well documented. Identification of mothers who do not initiate breastfeeding is essential for developing initiatives to improve breastfeeding initiation. Methods: The study used data from the National Center for Health Statistics (NCHS) National Vital Statistics System (NVSS) birth certificate data (2014-2021) to identifying 15,599,930 in-hospital deliveries. We used multivariable logistic regression to assess the association between seven body mass index (BMI) categories and initiation of breastfeeding before hospital discharge. Prepregnancy BMI (weight in kilograms/height in meters2) included underweight (<18.5), healthy weight (18.5-24.9), overweight (25.0-29.9), Obesity Class I (30-34.9), Obesity Class II (35-39.9), and Obesity Class III (40-49.9) classes, in addition to a class newly identified in the literature as super obese (≥50), hereafter "Obesity Class IV." "This project was deemed non-human subjects research." Results: Approximately, 83% of mothers initiated breastfeeding before hospital discharge. Compared to mothers with a healthy prepregnancy BMI, the likelihood of breastfeeding initiation before hospital discharge decreased with increasing prepregnancy BMI. Specifically, we found reduced likelihood of initiation for mothers who were overweight (adjusted odds ratio [aOR]: 0.952, 95% confidence interval [CI]: [0.948-0.955]), Obesity Class I (aOR: 0.884, 95% CI: [0.880-0.888]), Obesity Class II (aOR: 0.816, 95% CI: [0.811-0.820]), Obesity Class III (aOR: 0.750, 95% CI: [0.745-0.755]), and Obesity Class IV (aOR 0.672: 95% CI: [0.662-0.683]). Conclusions: Mothers with prepregnancy BMI above the healthy range had reduced likelihood of initiating breastfeeding prior hospital discharge. This information should be used to develop and initiate interventions for mothers who wish to breastfeed but may need additional lactation assistance support.

Predicting pediatric severe asthma exacerbations: an administrative claims-based predictive model.

OBJECTIVE: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.

Examining Impacts of Healthy Families America on Infant Health Care.

OBJECTIVE: Healthy Families America (HFA) is an evidence-based home visiting program that provides parenting education with the overall goal of preventing child maltreatment and optimizing child development. This study compares the health care utilization and vaccination of infants enrolled in HFA with similar infants not in the program. METHODS: From January 2014 to December 2020, 604 children served statewide by HFA in Arkansas were identified in vital statistics and administrative medical claims records. Using propensity score matching, infants in HFA were matched with nonprogram control infants based on family demographics and birth characteristics. Double propensity-score adjustment method and generalized linear models were used to estimate program effects. RESULTS: In the first year after birth hospital discharge and compared to a propensity score matched cohort of infants not enrolled, those enrolled in HFA had significantly greater use of the emergency department overall (incidence rate ratios (IRR) = 1.24 [95% confidence interval (CI) = 1.07-1.43], P = .004) and for less complex conditions (IRR = 1.22 [95% CI = 1.04-1.44], P = .01), more outpatient medical appointments for child wellness (IRR = 1.09 [95% CI = 1.03-1.15], P = .003), illness (IRR = 1.17 [95% CI = 1.07-1.29], P = .001), and speech and language therapies (IRR = 2.86 [95% CI = 1.18-6.93], P = .02), and more medical visits during which vaccinations were provided (IRR = 1.09 [95% CI = 1.04-1.15], P = .002). CONCLUSIONS: Findings from the current study suggest that HFA supports increased health care utilization and visits in which vaccinations occurred during the first year of life.

Survival From Birth Until Young Adulthood Among Individuals With Congenital Heart Defects: CH STRONG.

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.

Asthma Quality Measurement and Adverse Outcomes in Medicaid-Enrolled Children.

OBJECTIVES: To determine the association between the asthma medication ratio (AMR) quality measure and adverse outcomes among Medicaid-enrolled children with asthma in Arkansas, given concerns regarding the utility of the AMR in evaluating pediatric risk of asthma-related adverse events (AAEs). METHODS: We used the Arkansas All-Payer Claims Database to identify Medicaid-enrolled children with asthma using a nonrestrictive case definition and additionally using the standard Healthcare Effectiveness Data and Information Set (HEDIS) persistent asthma definition. We assessed the AMR using the traditional dichotomous HEDIS AMR categorization and across 4 expanded AMR categories. Regression models assessed associations between AMR and AAE including hospitalization and emergency department utilization, with models conducted overall and by race and ethnicity. RESULTS: Of the 22 788 children in the analysis, 9.0% had an AAE (6.7% asthma-related emergency department visits; 3.0% asthma-related hospitalizations). We found poor correlation between AMR and AAE, with higher rates of AAE (10.5%) among children with AMR ≥0.5 compared with AMR <0.5 (8.5%; P < .001), and similar patterns stratified by racial and ethnic subgroups. Expanded AMR categorization revealed notable differences in associations between AMR and AAEs, compared with traditional dichotomous categorization, with worse performance in Black children. CONCLUSIONS: The AMR performed poorly in identifying risk of adverse outcomes among Medicaid-enrolled children with asthma. These findings underscore concerns of the utility of the AMR in population health management and reliance on restrictive HEDIS definitions. New population health frameworks incorporating broader considerations that accurately identify at-risk children are needed to improve equity in asthma management and outcomes.

Cardiology Care and Loss to Follow-Up Among Adults With Congenital Heart Defects in CH STRONG.

Many of the estimated 1.4 million adults with congenital heart defects (CHDs) in the United States are lost to follow-up (LTF) despite recommendations for ongoing cardiology care. Using 2016 to 2019 CH STRONG (Congenital Heart Survey To Recognize Outcomes, Needs, and well-beinG) data, we describe cardiac care among community-based adults with CHD, born in 1980 to 1997, identified through state birth defects registries. Our estimates of LTF were standardized to the CH STRONG eligible population and likely more generalizable to adults with CHD than clinic-based data. Half of our sample were LTF and more than 45% had not received cardiology care in over 5 years. Of those who received care, only 1 in 3 saw an adult CHD physician at their last encounter. Not knowing they needed to see a cardiologist, being told they no longer needed cardiology care, and feeling "well" were the top reasons for LTF, and only half of respondents report doctors discussing the need for cardiac follow-up.

Racial differences in COVID-19 vaccine acceptance in Arkansas.

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.

Cost-benefit analysis of home visiting to reduce infant mortality among preterm infants.

PURPOSE: The Following Baby Back Home (FBBH) visiting program, which is provided by nurse and social worker teams, supports families of low-birthweight preterm infants after discharge from a neonatal intensive care unit. Enrollment in the FBBH program has been documented to reduce the likelihood of infant death. In this study, we conducted a cost-benefit analysis of the FBBH program. DESIGN AND METHODS: Infants enrolled in the FBBH program (N = 416) were identified through administrative records. Infants in the FBBH program were propensity score matched with comparison infants to estimate the difference in healthcare costs in the first year of life. RESULTS: Infants enrolled in the FBBH program incurred similar medical care costs compared to a comparison group. Avoided deaths, program costs, healthcare costs resulted in net economic benefits of the FBBH program to avoid infant death estimate at $83,020, cost per life saved at $3080, and benefit-to-cost ratio at 27.95. CONCLUSIONS: The FBBH program's net economic benefits from avoided deaths suggest a substantial return on investment of resources, yielding benefits in excess of program and healthcare costs. PRACTICE IMPLICATIONS: It is economically beneficial to provide home visiting services to families of low-birthweight babies by a team comprised of a registered nurse and social worker.

Socioeconomic Determinants of Remote Patient Monitoring Implementation Among Rural and Urban Hospitals.

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.

School age educational outcomes of infants born with congenital diaphragmatic hernia.

BACKGROUND: To compare academic proficiency among children with congenital diaphragmatic hernia (CDH) versus controls and identify predictors of academic performance among children with CDH. METHODS: Infants born with CDH in Arkansas, 2000-2005, were identified from the Arkansas Reproductive Health Monitoring System. For each case, two controls were selected from birth certificate data and matched for hospital and month of birth, sex, and race/ethnicity. Data on re-hospitalization within the first 5 years and payer data were collected from the Arkansas Hospital Inpatient Discharge database. Surviving cases and controls were linked to the Arkansas Department of Education database. Primary outcomes were odds of proficiency on fourth grade literacy and mathematics achievement tests. Multivariable logistic regression models evaluated the association between study characteristics and academic proficiency. RESULTS: The final study cohort included 25 surviving CDH cases and 31 controls who were linked to their education data. After adjusting for differences in characteristics (5-min Apgar score and associated congenital anomalies) between cases and controls, there were no statistically significant differences in literacy (72% vs. 84%, p = .93) or mathematics (64% vs. 81%, p = .98) test proficiency between the two groups. In multivariable analyses, among CDH cases, oxygen at discharge and Medicaid payer/longer hospital stay were associated with worse fourth grade literacy and mathematics proficiency, respectively. CONCLUSIONS: Oxygen at discharge, Medicaid payer, and longer hospital stay were associated with lower academic performance among CDH cases.

Inequities in Telehealth Use Associated with Payer Type During the COVID-19 Pandemic.

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.

Impact of Weight Status Reporting on Childhood Body Mass Index.

Background: Many states have adopted school-based BMI screening or surveillance programs in an effort to address high rates of childhood obesity, some of which involve provision of confidential BMI reports to parents. While there is evidence that parents are attuned to information in the reports, there is less evidence showing that the reports are effective in preventing excess childhood weight gain. Methods: Data from Arkansas, the state with the nation's first and longest running and BMI screening program, were used to measure the impact of BMI reports. This was done through a regression discontinuity design that compared future BMI z-scores among children falling within a narrow band around the obese and overweight thresholds. We derived the effects of BMI reports by comparing students who received different types of reports around the relevant threshold. Results: While we are unable to detect any differences in BMI z-scores between the children who received the overweight report and the children who received the healthy weight report, we detected some differences between children who received the obese report and children who received the overweight report. These findings hold across subsamples by age, minority status, and school meal status. Conclusions: Based on these data, overweight or obese reports to do not meaningfully impact future BMI z-scores. This may be due, in part, to the format of parental reports, which may dampen the surprise element of an overweight or obese report.

Childhood Educational Outcomes of Children Born with Gastroschisis.

OBJECTIVE: To compare third grade literacy and mathematics test proficiency among children born with gastroschisis vs unaffected controls and identify predictors of academic proficiency among these children. STUDY DESIGN: Infants born with gastroschisis (2000-2005) were identified from the Arkansas Reproductive Health Monitoring System. For each case, 2 controls were selected at random from birth certificates and matched for hospital and month of birth, sex, and race/ethnicity. Data on rehospitalization within the first 6 years and payer data were abstracted from the Arkansas Hospital Inpatient Discharge database. Surviving cases and controls were linked to the Arkansas Department of Education database containing achievement test scores. The primary outcome was proficiency, defined as performance at or above grade level, on third grade achievement tests. Cases and controls who did not attend public schools could not be linked to education records. Multivariable logistic regression models evaluated the association between study characteristics and academic proficiency. RESULTS: The final study cohort included 47 cases and 63 controls. There was no statistically significant difference in the rate of literacy (68% vs 81%; P = .65) or mathematics proficiency (89% vs 87%; P = .15) between cases and controls. On multivariable analysis, a complex gastroschisis (defined as atresia, volvulus, necrosis, or perforation of the bowel) was associated with lower proficiency in literacy (aOR, 0.1; 95% CI, 0.02-0.58; P = .01). No neonatal or maternal characteristics predictive of lower proficiency in mathematics were identified. CONCLUSIONS: Among children born with gastroschisis, the presence of a complex gastroschisis was associated with lower proficiency on third grade literacy achievement tests.

The effect of gender-specific labor market conditions on children's weight.

BACKGROUND: Macroeconomic conditions are widely known to influence health outcomes through direct behavioral change or indirect mental effects of individuals. However, they have not received much attention in relation to childhood obesity. METHODS: Using gender-specific predicted employment growth rates as an index for labor market conditions, we analyze how economic shocks affect children's weight status in Arkansas. To understand the underlying mechanisms behind these results, we use data on individual time use to examine how economic shocks are related to activities related to children's weight. RESULTS: Improvement in the female labor market is associated with an increase in body mass index (BMI) and the probability that a child is overweight or obese, while an improvement in the male labor market has no significant effects on children's weight. This impact is particularly evident among female children, older children, and African-American children. We also find a negative effect of improvements in the female labor market on time spent on preparation for foods at home. CONCLUSIONS: These results suggest that a decrease in time spent preparing home-cooked foods might be a plausible explanation for the pro-cyclical relationship between children's weight and improvement in the labor market conditions. Thus, the policy implications of our paper should be aimed at mitigating the adverse effects of women's labor participation.

Advance Care Directives Among a Population-Based Sample of Young Adults with Congenital Heart Defects, CH STRONG, 2016-2019.

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.

Home Visiting for NICU Graduates: Impacts of Following Baby Back Home.

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 propensity-score 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.

Enrollee Experience with Providers in the Arkansas Medicaid Expansion Program.

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.

Use of Machine Learning to Determine the Information Value of a BMI Screening Program.

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.

Medicaid Expansion And Health Services Use For Adults Experiencing Homelessness In Arkansas.

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.