The Relationship Between Dental Provider Density and Receipt of Dental Care Among Medicaid-enrolled Adults.

OBJECTIVE: We sought to measure the association of dental provider density and receipt of dental care among Medicaid-enrolled adults. METHODS: We used four years of Indiana Medicaid claims and enrollment data (2015 to 2018) and the Area Health Resources File to examine the relationship between any dental visit (ADV) or any preventive dental visit (PDV) and three county-level measures of dental provider density (the total number of Medicaid-participating dentists, a binary indicator of a federally qualified health center (FQHC) with a Medicaid-participating dentist, and the overall county dentist-to-population ratio). RESULTS: The likelihood of ADV or PDV increased with greater density of Medicaid-participating dentists as well as dentists accepting Medicaid working at an FQHC within the county. The overall dentist-to-population ratio was not associated with dental care use among the adult Medicaid population. CONCLUSION: Dentist participation in Medicaid program may be a modifiable barrier to Medicaid-enrolled adults' receipt of dental care.

The relationship between preventive dental care and overall medical expenditures.

OBJECTIVES: To examine the relationship between preventive dental visits (PDVs) and medical expenditures while mitigating bias from unobserved confounding factors. STUDY DESIGN: Retrospective data analysis of Indiana Medicaid enrollment and claims data (2015-2018) and the Area Health Resources Files. METHODS: An instrumental variable (IV) approach was used to estimate the relationship between PDVs and medical and pharmacy expenditures among Medicaid enrollees. The instrument was defined as the number of adult enrollees with at least 1 nonpreventive dental claim per total Medicaid enrollees within a Census tract per year. RESULTS: In naive analyses, enrollees had on average greater medical expenditures if they had a prior-year PDV (ß = $397.21; 95% CI, $184.23-$610.18) and a PDV in the same year as expenditures were measured (ß = $344.81; 95% CI, $193.06-$496.56). No significant differences in pharmacy expenditures were observed in naive analyses. Using the IV approach, point estimates of overall medical expenditures for the marginal enrollee who had a prior-year PDV (ß = $325.17; 95% CI, -$708.03 to $1358.37) or same-year PDV (ß = $170.31; 95% CI, -$598.89 to $939.52) were similar to naive results, although not significant. Our IV approach indicated that PDV was not endogenous in some specifications. CONCLUSIONS: This is the first study to present estimates with causal inference from a quasi-experimental study of the effect of PDVs on overall medical expenditures. We observed that prior- or same-year PDVs were not related to overall medical or pharmacy expenditures.

Does Interdisciplinary Care Team Care Management Improve Health Quality and Demonstrate Cost-Effectiveness?

This study evaluated the impact of an interdisciplinary care teams (IDCT) care management program on cost and quality outcomes using a novel algorithm to identify 400 high-risk patients out of 48,235 Medicare Advantage (MA) beneficiaries. Of the 400, 252 were enrolled in the IDCT care management intervention program, while the remaining 148 were not enrolled. A second comparison group consisted of 660 who were referred to the IDCT program but not selected by the algorithm. The program's effectiveness was evaluated 1-year postintervention. Analyses found that health care costs for members enrolled in the IDCT program were reduced by US$1,121.76 and US$1,625.61 per member per month, respectively, relative to those not enrolled and those enrolled by referral. The cost reduction from the program generated a net savings of US$1.9MM, covering the program's cost. Findings suggest IDCTs can cost-effectively manage populations of high-risk patients with better selection and fostering greater interdependence.

Quantifying the association of individual-level characteristics with disparities in kidney transplant waitlist addition among people with HIV.

BACKGROUND: Over 45% of people with HIV (PWH) in the United States at least 50 years old and are at heightened risk of aging-related comorbidities including end-stage kidney disease (ESKD), for which kidney transplant is the optimal treatment. Among ESKD patients, PWH have lower likelihood of waitlisting, a requisite step in the transplant process, than individuals without HIV. It is unknown what proportion of the inequity by HIV status can be explained by demographics, medical characteristics, substance use history, and geography. METHODS: The United States Renal Data System, a national database of all individuals ESKD, was used to create a cohort of people with and without HIV through Medicare claims linkage (2007-2017). The primary outcome was waitlisting. Inverse odds ratio weighting was conducted to assess what proportion of the disparity by HIV status could be explained by individual characteristics. RESULTS: Six thousand two hundred and fifty PWH were significantly younger at ESKD diagnosis and more commonly Black with fewer comorbidities. PWH were more frequently characterized as using tobacco, alcohol and drugs. Positive HIV-status was associated with 57% lower likelihood of waitlisting [adjusted hazard ratio (aHR): 0.43, 95% confidence interval (CI): 0.46-0.48, P  < 0.001]. Controlling for demographics, medical characteristics, substance use and geography explained 39.8% of this observed disparity (aHR: 0.69, 95% CI: 0.59-0.79, P  < 0.001). CONCLUSION: PWH were significantly less likely to be waitlisted, and 60.2% of that disparity remained unexplained. HIV characteristics such as CD4 + counts, viral loads, antiretroviral therapy adherence, as well as patient preferences and provider decision-making warrant further study.

Impact of the Choose Well Contraceptive Access Initiative on Method Use Among Women Enrolled in South Carolina's Medicaid Program: A Mid-line Assessment.

INTRODUCTION: A six-year statewide contraceptive access initiative focused on equitable access to contraception, removing cost barriers, capacity building and training, raising consumer awareness, and expanding contraceptive care at safety net clinics was implemented in South Carolina beginning in 2017. This study assessed changes in contraceptive method use among women enrolled in the South Carolina Medicaid program during the first three years of Choose Well. METHODS: Contraception use among a retrospective cohort of women aged 15 to 45 enrolled in South Carolina Medicaid from 2012 to 2020 was examined. Interrupted time series regression analysis was used to assess changes in the use of intrauterine devices (IUDs) and contraceptive implants between 2012 and 2016 and 2017 and 2020. Analyses were conducted for all women and stratified by age groups. RESULTS: Long-acting reversible contraception use increased from 8.5% during the pre-Choose Well period to 10.9% during the Choose Well period (p < .001), with IUD use increasing from 4.3% to 5.2% (p < .001) and implant use increasing from 4.6% to 6.0% (p < .001). The interrupted time series analysis found a significant positive change in the average level of monthly IUD use after Choose Well began (0.493 percentage points; 95% confidence interval, 0.311-0.675). The effect was stronger among women 20 to 25 years of age. Choose Well significantly increased the trend in IUD use among all women by a positive 0.013 percentage points (95% confidence interval, 0.006-0.020) per month beyond expected values. CONCLUSIONS: At the mid-point of the Choose Well Evaluation, the use of IUD methods increased significantly beyond what would be expected had pre-Choose Well trends continued. This was particularly evident among women 20 to 25 years of age. These findings suggest that Choose Well succeeded in reducing barriers to the use of IUDs.

Hepatitis C Treatment Initiation Among US Medicaid Enrollees.

Importance: Direct-acting antiviral (DAA) treatment for hepatitis C virus (HCV) infection is highly effective but remains underused. Understanding disparities in the delivery of DAAs is important for HCV elimination planning and designing interventions to promote equitable treatment. Objective: To examine variations in the receipt of DAA in the 6 months following a new HCV diagnosis. Design, Setting, and Participants: This retrospective cohort study used national Medicaid claims from 2017 to 2019 from 50 states, Washington DC, and Puerto Rico. Individuals aged 18 to 64 years with a new diagnosis of HCV in 2018 were included. A new diagnosis was defined as a claim for an HCV RNA test followed by an International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) diagnosis code, after a 1-year lookback period. Main Outcomes and Measures: Outcome was receipt of a DAA prescription within 6 months of diagnosis. Logistic regression was used to examine demographic factors and ICD-10-identified comorbidities associated with treatment initiation. Results: Among 87 652 individuals, 43 078 (49%) were females, 12 355 (14%) were age 18 to 29 years, 35 181 (40%) age 30 to 49, 51 282 (46%) were non-Hispanic White, and 48 840 (49%) had an injection drug use diagnosis. Of these individuals, 17 927 (20%) received DAAs within 6 months of their first HCV diagnosis. In the regression analyses, male sex was associated with increased treatment initiation (OR, 1.24; 95% CI, 1.16-1.33). Being age 18 to 29 years (OR, 0.65; 95% CI, 0.50-0.85) and injection drug use (OR, 0.84; 95% CI, 0.75-0.94) were associated with decreased treatment initiation. After adjustment for state fixed effects, Asian race (OR, 0.50; 95% CI, 0.40-0.64), American Indian or Alaska Native race (OR, 0.68; 95% CI, 0.55-0.84), and Hispanic ethnicity (OR, 0.81; 95% CI, 0.71-0.93) were associated with decreased treatment initiation. Adjustment for state Medicaid policy did not attenuate the racial or ethnic disparities. Conclusions: In this retrospective cohort study, HCV treatment initiation was low among Medicaid beneficiaries and varied by demographic characteristics and comorbidities. Interventions are needed to increase HCV treatment uptake among Medicaid beneficiaries and to address disparities in treatment among key populations, including younger individuals, females, individuals from minoritized racial and ethnic groups, and people who inject drugs.

Racial Disparities in Access to the Kidney Transplant Waitlist Among People with Human Immunodeficiency Virus.

The epidemiology of human immunodeficiency virus (HIV) has shifted such that Black individuals disproportionately represent incident HIV diagnoses. While risk of end-stage kidney disease (ESKD) among people with HIV (PWH) has declined with effective antiretroviral therapies, a substantial racial disparity in ESKD burden exists with the greatest prevalence among Black PWH. Disparities in waitlisting for kidney transplantation, the optimal treatment for ESKD, exist for both PWH and Black individuals without HIV, but it is unknown whether these characteristics together exacerbate such disparities. Six hundred two thousand six ESKD patients were identified from the United States Renal Data System (January 1, 2007 to December 31, 2017), and HIV-status was determined through Medicare claims. Cox proportional hazards regression was used to determine waitlisting rates. Multiplicative interaction terms between HIV-status and race were examined. The 6250 PWH were significantly younger, more commonly Black, and less commonly female than those without HIV. HIV-status and race were independently associated with 50% and 12% lower likelihood of waitlisting, respectively [adjusted hazard ratio (aHR): 0.50, 95% confidence interval (CI): 0.36-0.69, p < 0.001; aHR: 0.88, 95% CI: 0.87-0.90, p < 0.001]. There was also a significant interaction present between HIV-status and Black race (aHR: 0.80, 95% CI: 0.66-0.98, p < 0.001) such that, while HIV-status and Black race were independently associated with decreased waitlisting, the interaction of Black race and HIV-status exacerbated those disparities. While limited by lack of HIV-specific data that may impact inferences with respect to race, additional studies are urgently needed to understand the interplay between HIV risk factors, HIV-stigma, and racism, and how intersectionality may exacerbate disparities in transplantation among PWH.

Telehealth utilization barriers among Alabama parents of pediatric patients during COVID-19 outbreak.

BACKGROUND: Telehealth can improve access to evidence-based care at a lower cost for patients, especially those living in underserved and remote areas. The barriers to the widespread adoption of telehealth have been well documented in the literature. However, the barriers may not be the same for pediatric patients, who must rely on their parents or guardians to make healthcare decisions. This paper presents some of the leading barriers parents or guardians of pediatric patients report in using telehealth to meet their children's healthcare needs. METHODS: This cross-sectional survey was conducted in a tertiary care pediatric Emergency Department (ED) at a children's hospital in Alabama between September 2020 to December 2020. The parents or guardians of pediatric patients were asked about their reasons for not using telehealth despite having healthcare needs for their children, whether they canceled or rescheduled healthcare provider visits and facility visits, and whether the child's health conditions changed over the past three months. Descriptive analyses were conducted that explored the distribution of telehealth use across the variables listed above. RESULTS: Five hundred ninety-seven parents or guardians of pediatric patients participated in the survey, and 578 answered the question of whether they used telehealth or not over the past three months. Of them, 33.1% used telehealth, 54.3% did not, and 12.6% did not have healthcare needs for their child. The leading reason for not using telehealth was that the doctor or health provider did not give them a telehealth option, the second main reason was that they did not know what telehealth is, and the third leading reason was that the parents did not think telehealth would help meet healthcare needs for their child. CONCLUSIONS: This study highlights the telehealth utilization barriers among underserved pediatric populations, including the need for physicians to proactively offer telehealth options to parents or guardians of pediatric patients. Improving health literacy is of paramount importance, given that a substantial proportion of parents were not familiar with telehealth. Policymakers and healthcare organizations should raise awareness about the benefits of telehealth which can improve healthcare access for underserved pediatric patients.

Telehealth use among pediatric Alabama Medicaid enrollees, March-December 2020: Variations by race/ethnicity & place of residence.

During the early days and months of the COVID-19 pandemic, healthcare facilities experienced a slump in non-COVID-related visits, and there was an increasing interest in telehealth to deliver healthcare services for adult and pediatric patients. The study investigated telehealth use variation by race/ethnicity and place of residence for the pediatric enrollees of the Alabama Medicaid program. This retrospective observational study examined Alabama Medicaid claims data from March to December 2020 for enrollees less than 19 years. There were 637,792 pediatric enrollees in the Alabama Medicaid program during the study period, and 16.9% of them had used telehealth to meet healthcare needs. This study employed a multivariate Poisson mixed-effects model with robust error variance to obtain differences in telehealth utilization and found that Non-Hispanic Black children were 80% as likely, Hispanic children were 55% as likely, and Asian Children were 46% as likely to have used telehealth compared to Non-Hispanic White children. Pediatric enrollees in large rural areas and isolated areas were significantly less likely (IRR: 0.90 for both, p<0.05) to use telehealth than those in urban areas. This study's findings suggest that attention needs to be paid to addressing race/ethnicity disparities in accessing telehealth services.

Social determinants of health and emergency department utilization in Alabama Children's Health Insurance Program.

OBJECTIVES: Injuries are the leading cause of death among children and youth in the United States, representing a major concern to society and to the public and private health plans covering pediatric patients. Data from ALL Kids, Alabama's Children's Health Insurance Program, were used to evaluate the relationship between community-level social determinants of health (SDOH) and pediatric emergency department (ED) use and differences in these associations by age and race. STUDY DESIGN: This was a retrospective, pooled cross-sectional analysis. METHODS: We used ALL Kids data to identify ED visits (injury and all-cause) among children who were enrolled at any time from 2015 to 2017. Exploratory factor analysis was used to categorize SDOH from 18 selected Census tract-level variables. Multilevel Poisson regression models were used to evaluate the effects of community and individual factors and their interactions. RESULTS: Census tract-level SDOH were grouped as low socioeconomic status (SES), urbanicity, and immigrant-density factors. Low SES and urbanicity factors were associated with ED visits (injury and all-cause). The low SES and urbanicity factors also moderated the association between race and ED visits (injury and all-cause). CONCLUSIONS: The environment in which children live influences their ED use; however, the impact varies by age, race, and Census tract factors. Further studies should focus on specific community factors to better understand the relationship among SDOH, individual characteristics, and ED utilization.

Cost-benefit analysis of a distracted pedestrian intervention.

OBJECTIVE: Cellphone ubiquity has increased distracted pedestrian behaviour and contributed to growing pedestrian injury rates. A major barrier to large-scale implementation of prevention programmes is unavailable information on potential monetary benefits. We evaluated net economic societal benefits of StreetBit, a programme that reduces distracted pedestrian behaviour by sending warnings from intersection-installed Bluetooth beacons to distracted pedestrians' smartphones. METHODS: Three data sources were used as follows: (1) fatal, severe, non-severe pedestrian injury rates from Alabama's electronic crash reporting system; (2) expected costs per fatal, severe, non-severe pedestrian injury-including medical cost, value of statistical life, work-loss cost, quality-of-life cost-from CDC and (3) prevalence of distracted walking from extant literature. We computed and compared estimated monetary costs of distracted walking in Alabama and monetary benefits from implementing StreetBit to reduce pedestrian injuries at intersections. RESULTS: Over 2019-2021, Alabama recorded an annual average of 31 fatal, 83 severe and 115 non-severe pedestrian injuries in intersections. Expected costs/injury were US$11 million, US$339 535 and US$93 877, respectively. The estimated distracted walking prevalence is 25%-40%, and StreetBit demonstrates 19.1% (95% CI 1.6% to 36.0%) reduction. These figures demonstrate potential annual cost savings from using interventions like StreetBit statewide ranging from US$18.1 to US$29 million. Potential costs range from US$3 208 600 (beacons at every-fourth urban intersection) to US$6 359 200 (every other intersection). CONCLUSIONS: Even under the most parsimonious scenario (25% distracted pedestrians; densest beacon placement), StreetBit yields US$11.8 million estimated net annual benefit to society. Existing data sources can be leveraged to predict net monetary benefits of distracted pedestrian interventions like StreetBit and facilitate large-scale intervention adoption.

Classifying children with ASD by service utilization and treatment type: A cluster analysis of a nationally representative United States survey.

BACKGROUND: If there are patterns of the distribution of services and treatments across the population of people with ASD, these patterns should be based along clinical characteristics or other service needs and not sociodemographic characteristics unrelated to evidence-based care. We examined how individuals in a broad, nationally representative sample "grouped together" based on service utilization and services needed but not covered by insurance. By understanding various treatment patterns, clinicians, researchers, policymakers, and self-advocates and their families can better advocate for high-quality, evidence-based services to be provided equitably. METHODS: Using the 2011 Survey of Pathways to Diagnosis and Services, a cluster analysis was performed to explore patterns in this population based on medication use, private services use, school-based service use, and services not covered by insurance. Differences in clusters were then explored through multinomial logistic regression. RESULTS: Six clusters emerged, showing differences in the level of service/medication usage and insurance coverage. Differences across clusters were associated with the level of functional limitation and age at ASD diagnosis. Disparities by insurance type, functional limitation, and age at diagnosis exist among patterns of ASD service provision. CONCLUSIONS: Our analysis showed that intervention for children with ASD can be across several scales - high and low users of services (both private and school-based), high and low users of medications, and high and low levels of reported non-covered services. The differences were clustered in multiple ways. Further research should incorporate longitudinal and nationally representative data to explore these relationships further.

Contraception Use and Pregnancy Outcomes for Alabama Medicaid Enrollees: A Baseline Analysis Using 2012-2017 Data.

OBJECTIVES: Access to the full range of contraceptive methods, including long-acting reversible contraception (LARC), is key for preventing unintended pregnancies and improving health outcomes. In 2019, Alabama Medicaid started paying for LARC devices for postpartum women. In anticipation of evaluating the impact of this programmatic change, we conducted a baseline study exploring contraception use and pregnancy-end outcomes for enrollees before the change. METHODS: A retrospective cohort of women enrolled in Alabama Medicaid from 2012 to 2017 was examined. Outcomes include pregnancy-end events for all enrollees, teen pregnancy-end events, and short-interval (SI) pregnancy-end events. Pregnancy events in year t are matched to contraception in year t - 1. Contraception is categorized as "no evidence," short-acting contraception (SAC), LARC, and sterilization. Bivariate and multivariate models were estimated. RESULTS: Our final sample included 135,807 unique women who contributed 258,959 person-years. There was no evidence of contraception for 55.4% and evidence of SAC, LARC, and sterilization for 36.4%, 6.2%, and 2.0%, respectively. Relative risks for pregnancy-end events for SAC and LARC users were 0.63 (95% confidence interval [CI] 0.61-0.0.65) and 0.56 (95% CI 0.52-0.0.59), respectively, compared with women with no evidence of contraceptive use. For teen pregnancy-end events, relative risks for SAC and LARC users were 0.65 (95% CI 0.61-0.67) and 0.58 (95% CI 0.51-0.66), respectively. For SI pregnancy-end events, relative risks for SAC and LARC users were 0.71 (95% CI 0.68-0.76) and 0.40 (95% CI 0.34-0.46), respectively. CONCLUSIONS: LARC and SAC are associated with lower likelihood of pregnancy-end events compared with no evidence of contraception, and on average, LARC is associated with lower relative risk than SAC, especially for SI pregnancy-end events.

Association of State-Level Firearm-Related Deaths With Firearm Laws in Neighboring States.

Importance: Firearms are easily transported over state borders; hence permissive firearm laws in one state may have an interstate association with firearm-related deaths in nearby states. Objectives: To examine whether certain firearm laws have an interstate association with firearm-related deaths in nearby states. Design, Setting, and Participants: This cross-sectional observational study used data on state firearm-related deaths in the 48 contiguous states of the US between January 1, 2000, and December 31, 2019. A spatial autoregressive model with fixed effects for state and year was used to evaluate within-state, interstate, and overall associations between firearm laws and firearm-related deaths. Analyses were performed during January 2022. Exposures: The following 9 types of laws were evaluated: universal background checks for all firearms purchase, background checks for handgun sales at gun shows, license requirement to purchase all firearms, state dealer license requirement for handgun sales, requirement of retaining records of handgun sales, ban on purchasing a handgun on behalf of another, prohibition of firearm possession by persons who committed violent misdemeanors, required relinquishment of firearms for persons becoming prohibited from possessing them, and discretion in granting a concealed carry permit. Main Outcomes and Measures: State-level total firearm-related death rates, suicide rates, and homicide rates. Results: In sum, the study period included 662 883 firearm-related deaths of all intents. License requirement for firearm purchase had a within-state association (effect size, -1.79 [95% CI, -2.73 to -0.84]), interstate association (effect size, -10.60 [95% CI, -17.63 to -3.56]), and overall association (effect size, -12.38 [95% CI, -19.93 to -4.83]) per 100 000 population decrease in total firearm-related deaths. This law also had within-state association (effect size, -1.26 [95% CI, -1.72 to -0.80]), interstate association (effect size, -9.01 [95% CI, -15.00 to -3.02]), and overall association (effect size, -10.27 [95% CI, -16.53 to -4.01]) per 100 000 population decrease in firearm-related homicide. Conclusions and Relevance: The findings of this pooled cross-sectional analysis suggest that certain firearm laws in one state were associated with other states' firearm-related deaths. Synergic legislative action in adjacent states, federal firearm legislation, and measures that reduce migration of firearms across state borders should be part of the overarching strategy to prevent firearm-related deaths.

Medicaid Cost Savings from Provision of Contraception to Beneficiaries in South Carolina, 2012-2018.

This study assesses cost savings associated with specific contraceptive methods provided to beneficiaries enrolled in South Carolina Medicaid between 2012 and 2018. Incremental cost-effectiveness ratios, defined as the additional cost of contraception provision per live birth averted, were estimated for 4 contraceptive methods (intrauterine devices [IUDs], implants, injectable contraceptives, and pills), relative to no prescription method provision, and savings per dollar spent on method provision were calculated. Costs associated with publicly funded live births were derived from published sources. The analysis was conducted for the entire Medicaid sample and separately for individuals enrolled under low-income families (LIFs), family planning, and partners for healthy children (PHC) eligibility programs. Sensitivity analysis was performed on contraceptive method costs. IUDs and implants were the most cost-effective with cost savings of up to $14.4 and $7.2 for every dollar spent in method provision, respectively. Injectable contraceptives and pills each yielded up to $4.8 per dollar spent. However, IUDs and implants were less cost-effective than injectable contraceptives and pills if the average length of use was less than 2 years. Medicaid's savings varied across Medicaid eligibility programs, with the highest and lowest savings from contraceptive provision to women in the LIFs and PHC eligibility programs, respectively. The results suggest the need to account for unique needs and preferences of beneficiaries in different Medicaid eligibility categories during contraception provision. The findings also inform program administration and provide evidence to justify legislative appropriations for Medicaid reproductive health care services.

Disparities in Telehealth Utilization in a Population of Publicly Insured Children During the COVID-19 Pandemic.

Telehealth became a crucial vehicle for health care delivery in the United States during the COVID-19 pandemic. However, little research exists on inequities in telehealth utilization among the pediatric population. This study examines disparities in telehealth utilization in a population of publicly insured children. This observational, retrospective study used administrative data from Alabama's stand-alone Children's Health Insurance Program, ALL Kids. Rates of any telehealth use for March to December 2020 were examined. In addition-to capture lack of health care utilization-rates of having no medical claims were examined and compared with March to December 2019 and 2018. Multinomial logit models were estimated to investigate how telehealth use and having no medical claims (reference category: having medical claims but no telehealth) were associated with race/ethnicity, rural-urban residence, and family income. Of the 106,478 enrollees over March to December 2020, 13.4% had any telehealth use and 24.7% had no medical claims. The latter was greater than no medical claims in 2019 (19.5%) and 2018 (20.7%). Black and Hispanic children had lower odds of any telehealth use (odds ratio [OR]: 0.81, P < 0.01; OR: 0.68, P < 0.01) and higher odds of no medical claims (OR: 1.11, P < 0.05; OR: 1.73, P < 0.05) than non-Hispanic White children. Rural residents had lower odds of telehealth use than urban residents. Those in the highest family income-based fee group had higher odds of telehealth use than the lowest family income-based fee group. As telehealth will likely continue to play an important role in health care delivery, additional efforts/investments are required to ensure telehealth does not further exacerbate inequities in pediatric health care access.

Community-Level Social Determinants of Health and Well-Child Visits Among Alabama Medicaid Enrollees.

Well-child visits focus on health promotion and disease detection and are critical to the appropriate provision of care. Evidence has shown that participation in well-child visits is associated with various patient-level factors; however, there has been an increasing focus on the influence of community-level social determinants of health (SDoH). This study explored associations between well-child visits and community-level SDoH at the census tract level among children enrolled in Alabama Medicaid. Through this analysis, it is possible to understand the distribution of care among this underserved population in different geographic settings, thus identifying potential disparities and areas for targeted intervention. Using administrative data from 2015 to 2017 enrollees in Alabama Medicaid that have been geographically linked to information on urbanicity and poverty, logistic regressions (both in total and stratified by age group) were estimated with separate community-level urbanicity, poverty variables, and individual characteristics. The regressions were repeated using a combined urbanicity/poverty variable. Looking at urbanicity and poverty together, with the exception of the least urban areas, it was those living in census tracts where there was discordance in urbanicity and poverty that had the highest likelihood of receiving well-child visits compared with those in census tracts classified as medium poverty (all urbanicity levels). There is a positive effect for Medicaid enrollees in the middle tertile of urbanicity in areas of low and high poverty and in wealthier more urban areas. If poverty and urbanicity were explored separately, some of the nuances would not have been apparent.

Disruption of Pediatric Emergency Department Use during the COVID-19 Pandemic.

OBJECTIVES: There is evidence of substantial declines in pediatric emergency department (ED) utilization in the United States in the first several months of the coronavirus disease 2019 (COVID-19) pandemic. Less is known about whether utilization changed differentially for socioeconomically disadvantaged children. This study examined how changes in pediatric ED visits during the initial months of the COVID-19 pandemic differed by two markers of socioeconomic disadvantage: minoritized race (MR) (compared with non-Hispanic White [NHW]), and publicly insured (compared with privately insured). METHODS: This study used electronic medical records from a large pediatric ED for the period January to June 2020. Three time periods in 2020 were compared with corresponding time periods in 2019. Changes in overall visits, visits for MR versus NHW children, and Medicaid-enrolled versus privately insured children were considered, and changes in the acuity mix of ED visits and share of visits resulting in inpatient admits were inspected. RESULTS: Compared with 2019, total ED visits declined in time period (TP) 1 and TP2 of 2020 (54.3%, 48.9%). Declines were larger for MR children (57.3%, 57.8%) compared with NHW children (50.5%, 39.3%), and Medicaid enrollees (56.5%, 52.0%) compared with privately insured (48.3%, 39.0%). The MR children group experienced steeper percentage declines in high-acuity visits and visits, resulting in inpatient admissions compared with NHW children. In contrast, there was little evidence of difference between TP0s of 2019 and 2020. CONCLUSIONS: The role of socioeconomic disadvantage and the potential effects on pediatric ED visits during COVID-19 is understudied. Because disadvantaged children sometimes lack access to a usual source of health care, this raises concerns about unmet health needs and worsening health disparities.