Correlates of Transitioning from In-Person to Telemedicine Outpatient Neurology Clinic Visits.

Introduction: The COVID-19 pandemic accelerated telemedicine adoption, impacting appointment no-show rates. This study examines neurology appointment preferences among individuals with previous no-shows. Methods: We analyzed transitions between in-person and telemedicine modalities at the Tulane Center for Clinical Neurosciences from August 2020 to February 2021 by race, sex, and insurance type. Logistic regression was used to assess which individual characteristics were associated with switching modalities. Results: A total of 118 patients were included. Transitions to telemedicine visits were significantly higher for female (odds ratio [OR] = 1.868, p = 0.051), Medicaid (OR = 0.433, p = 0.035), and Medicare (OR = 0.228, p = 0.001) beneficiaries compared with males and those with private coverage. Telemedicine to in-person transitions were significantly higher for Medicaid compared with private coverage (OR = 8.133, p = 0.018). Discussion: Females are more likely to switch to telemedicine following an in-person no-show, whereas Medicare beneficiaries are less likely. Medicaid beneficiaries are more likely to revert to in-person appointments. Telemedicine may enhance equitable neurological care, particularly because of its high utilization among females.

Predictors of Telehealth Utilization and Subsequent Inpatient Stays and Emergency Visits During the COVID-19 Pandemic Among Patients with Type 2 Diabetes: Evidence from Louisiana.

Objective: To understand which types of Medicare patients with diabetes disproportionately used telehealth during the coronavirus disease 2019 pandemic and how their characteristics mediated their inpatient and emergency department (ED) utilization. Methods: Logistic regression analyses were used to measure the associations between patient characteristics and telehealth utilization using electronic health records among Medicare patients with diabetes (n = 31,654). Propensity score matching was used to examine the relative impact of telehealth use in conjunction with race, ethnicity, and age on inpatient and ED outcomes. Results: Telehealth was associated with age (75-84 vs. 65-74; odds ratio [OR] = 0.810, p < 0.01), gender (female: OR = 1.148, p < 0.01), and chronic diseases (e.g., lung disease: OR = 1.142; p < 0.01). Black patients using telehealth were less likely to visit the ED (estimate = -0.018; p = 0.08), whereas younger beneficiaries using telehealth were less likely to experience an inpatient stay (estimate = -0.017; p = 0.06). Conclusions: Telehealth expansion particularly benefited the clinically vulnerable but saw uneven use and uneven benefit along sociodemographic lines. Clinical Trial Registration Number: NCT03136471.

Disparities in Telemedicine Use Among Louisiana Medicaid Beneficiaries During the COVID-19 Pandemic.

BACKGROUND: The COVID-19 pandemic led to an increased reliance on telemedicine. Whether this exacerbated existing disparities within vulnerable populations is not yet known. OBJECTIVES: Characterize changes in outpatient telemedicine evaluation and management (E&M) services for Louisiana Medicaid beneficiaries by race, ethnicity, and rurality during the COVID-19 pandemic. RESEARCH DESIGN: Interrupted time series regression models estimated pre-COVID-19 trends and changes in E&M service use at the April and July 2020 peaks in COVID-19 infections in Louisiana and in December 2020 after those peaks had subsided. SUBJECTS: Louisiana Medicaid beneficiaries continuously enrolled between January 2018 and December 2020 who were not also enrolled in Medicare. MEASURES: Monthly outpatient E&M claims per 1000 beneficiaries. RESULTS: Prepandemic differences in service use between non-Hispanic White and non-Hispanic Black beneficiaries narrowed by 34% through December 2020 (95% CI: 17.6%-50.6%), while differences between non-Hispanic White and Hispanic beneficiaries increased by 10.5% (95% CI: 0.1%-20.7%). Non-Hispanic White beneficiaries used telemedicine at higher rates than non-Hispanic Black (difference=24.9 claims per 1000 beneficiaries, 95% CI: 22.3-27.4) and Hispanic beneficiaries (difference=42.3 claims per 1000 beneficiaries, 95% CI: 39.1-45.5) during the first wave of COVID-19 infections in Louisiana. Telemedicine use increased slightly for rural beneficiaries compared with urban beneficiaries (difference=5.3 claims per 1000 beneficiaries, 95% CI: 4.0-6.6). CONCLUSIONS: The COVID-19 pandemic narrowed gaps in outpatient E&M service use between non-Hispanic White and non-Hispanic Black Louisiana Medicaid beneficiaries, though gaps in telemedicine use emerged. Hispanic beneficiaries experienced large reductions in service use and relatively small increases in telemedicine use.

Telehealth and Medicare Type 2 Diabetes Care Outcomes: Evidence From Louisiana.

BACKGROUND: At the onset of the COVID-19 pandemic, the Centers for Medicare and Medicaid Services broadened access to telehealth. This provided an opportunity to test whether diabetes, a risk factor for COVID-19 severity, can be managed with telehealth services. OBJECTIVE: The objective of this study was to examine the impacts of telehealth on diabetes control. RESEARCH DESIGN: A doubly robust estimator combined a propensity score-weighting strategy with regression controls for baseline characteristics using electronic medical records data to compare outcomes in patients with and without telehealth care. Matching on preperiod trajectories in outpatient visits and weighting by odds were used to ensure comparability between comparators. SUBJECTS: Medicare patients with type 2 diabetes in Louisiana between March 2018 and February 2021 (9530 patients with a COVID-19 era telehealth visit and 20,666 patients without one). MEASURES: Primary outcomes were glycemic levels and control [ie, hemoglobin A1c (HbA1c) under 7%]. Secondary outcomes included alternative HbA1c measures, emergency department visits, and inpatient admissions. RESULTS: Telehealth was associated with lower pandemic era mean A1c values [estimate=-0.080%, 95% confidence interval (CI): -0.111% to -0.048%], which translated to an increased likelihood of having HbA1c in control (estimate=0.013; 95% CI: 0.002-0.024; P<0.023). Hispanic telehealth users had relatively higher COVID-19 era HbA1c levels (estimate=0.125; 95% CI: 0.044-0.205; P<0.003). Telehealth was not associated with differences in the likelihood of having an emergency department visits (estimate=-0.003; 95% CI: -0.011 to 0.004; P<0.351) but was associated with more the likelihood of having an inpatient admission (estimate=0.024; 95% CI: 0.018-0.031; P<0.001). CONCLUSION: Telehealth use among Medicare patients with type 2 diabetes in Louisiana stemming from the COVID-19 pandemic was associated with relatively improved glycemic control.

Telemedicine Use by Age in Louisiana Medicaid During COVID-19: Claims-Based Longitudinal Analysis.

BACKGROUND: Limited availability of in-person health care services and fear of contracting COVID-19 during the pandemic promoted an increased reliance on telemedicine. However, long-standing inequities in telemedicine due to unequal levels of digital literacy and internet connectivity among different age groups raise concerns about whether the uptake of telemedicine has exacerbated or alleviated those inequities. OBJECTIVE: The aim of this study is to examine changes in telemedicine and in-person health service use during the COVID-19 pandemic across age groups for Medicaid beneficiaries in the state of Louisiana. METHODS: Interrupted time series models were used on Louisiana Medicaid claims data to estimate trends in total, in-person, and telemedicine monthly office visit claims per 1000 Medicaid beneficiaries between January 2018 and December 2020. Changes in care pattern trends and levels were estimated around the infection peaks (April 2020 and July 2020) and for an end-of-year infection leveling off period (December 2020). Four mutually exclusive age categories (0 to 17, 18 to 34, 35 to 49, and 50 to 64 years) were used to compare the differences. RESULTS: Prior to the COVID-19 pandemic, telemedicine services accounted for less than 1% of total office visit claim volume across the age groups. Each age group followed similar patterns of sharp increases in April 2020, downward trends until sharp increases again in July 2020, followed by flat trends thereafter until December 2020. These sharp increases were most pronounced for older patients, with those aged 50 to 64 years seeing increases of 184.09 telemedicine claims per 1000 Medicaid beneficiaries in April 2020 (95% CI 172.19 to 195.99) and 120.81 in July 2020 (95% CI 101.32 to 140.31) compared with those aged 18 to 34 years, seeing increases of 84.47 (95% CI 78.64 to 90.31) and 57.00 (95% CI 48.21 to 65.79), respectively. This resulted in overall changes from baseline to December 2020 levels of 123.65 (95% CI 112.79 to 134.51) for those aged 50 to 64 years compared with 59.07 (95% CI 53.89 to 64.24) for those aged 18 to 34 years. CONCLUSIONS: Older Medicaid beneficiaries in Louisiana had higher rates of telemedicine claim volume during the COVID-19 pandemic compared with younger beneficiaries.

Louisiana Medicaid Expansion and Pent-Up Demand.

BACKGROUND: Nearly half a million newly eligible people enrolled in Louisiana Medicaid following its expansion. OBJECTIVES: To evaluate postexpansion utilization trends in Louisiana Medicaid. RESEARCH DESIGN: We plotted utilization trends for expansion and traditional Medicaid beneficiaries and conducted regression analyses to evaluate differences in monthly trends for over 2 years following expansion. SUBJECTS: We restricted our sample to a balanced panel of beneficiaries aged 18-64. The expansion population included beneficiaries who enrolled in the first month of eligibility. The nonexpansion group enrolled at least a year pre-expansion. MEASURES: Monthly office visits, emergency department visits, and inpatient stays per 1000 enrollees, drawn from the Louisiana Medicaid Data Warehouse claims database. RESULTS: Compared with trends among traditional Medicaid beneficiaries, expansion beneficiaries utilized 4.59 [ P =0.08] more monthly office visits per 1000 enrollees in their first year, increasing to 6.33 [ P <0.01] more per month thereafter. Monthly emergency department visit trends were not statistically significantly different in the first year but were 0.71 [ P <0.01] monthly visits lower for expansion beneficiaries thereafter. Trends in monthly inpatient stays were 0.23 [ P =0.02] stays per 1000 enrollees higher in the first year for expansion beneficiaries but were not statistically significantly different thereafter. CONCLUSIONS: Louisiana Medicaid expansion beneficiaries experienced lower initial rates of office visits compared with traditional Medicaid beneficiaries, but these rates consistently increased over the first 2 years after expansion. The expansion population had uniformly higher levels of emergency department and inpatient visits throughout the study period. After the first postexpansion year, emergency department visits among expansion beneficiaries fell relative to traditional beneficiaries while inpatient utilization trends leveled off after an initial increase.

Pre-COVID-19 Disparities in Telemedicine Use Among Louisiana Medicaid Beneficiaries.

Background: We examine trends in telemedicine use by race, geography, and age among Louisiana Medicaid beneficiaries in the months preceding the COVID-19 pandemic. Methods: Using Louisiana Medicaid claims data from January 2018 through February 2020, we calculated a relative ratio of telemedicine use as the share of telemedicine claims by race, age, and geography and conducted two-sample t-tests. Results: In 2018, White beneficiaries used telemedicine at a relative ratio of 1.92 compared with Black beneficiaries (p < 0.001) and 2.02 compared with Hispanic beneficiaries (p < 0.001). Rural beneficiaries used telemedicine at a relative ratio of 1.27 (p < 0.001) compared with urban beneficiaries. Children and adolescents used telemedicine at a higher rate than other age groups. Racial and geographic disparities narrowed in the first months of 2020. Conclusions: Telemedicine use in Louisiana Medicaid was low but growing before the pandemic with narrowing disparities by race and geography and emerging disparities by age.

Medicaid Expansion and Medical Debt: Evidence From Louisiana, 2014-2019.

Objectives. To identify the association between Medicaid eligibility expansion and medical debt. Methods. We used difference-in-differences design to compare changes in medical debt for those gaining coverage through Louisiana's Medicaid expansion with those in nonexpansion states. We matched individuals gaining Medicaid coverage because of Louisiana's Medicaid expansion (n = 196 556) to credit report data on medical debt and compared them with randomly selected credit reports of those living in Southern nonexpansion state zip codes with high rates of uninsurance (n = 973 674). The study spanned July 2014 through July 2019. Results. One year after Louisiana Medicaid expansion, medical collections briefly rose before declining by 8.1 percentage points (95% confidence interval [CI] = -0.107, -0.055; P ≤ .001), or 13.5%, by the third postexpansion year. Balances also briefly rose before falling by 0.621 log points (95% CI = -0.817, -0.426; P ≤ .001), or 46.3%. Conclusions. Louisiana's Medicaid expansion was associated with a reduction in the medical debt load for those gaining coverage. These results suggest that future Medicaid eligibility expansions may be associated with similar improvements in the financial well-being of enrollees.

Mediators of Discrimination in Primary Care Appointment Access.

We examine how differences in questions asked and information provided by physicians' offices contribute to differences in new-patient appointment offers. Data is from a 2013-16 field experiment involving calls to a random sample of US primary care physicians on behalf of simulated new patients differentiated by race/ethnicity (Black, Hispanic, White), sex, and insurance. We find that the rates and stated reasons for denial of appointment offers differ substantially across patient groups.

Employment Discrimination against Indigenous Peoples in the United States: Evidence from a Field Experiment.

We conducted an audit study - a resume correspondence experiment - to measure discrimination in hiring faced by Indigenous Peoples in the United States (Native Americans, Alaska Natives, and Native Hawaiians). We sent employers 13,516 realistic resumes of Indigenous or white applications for common jobs in 11 cities. We signalled Indigenous status in one of four different ways. Interview offer rates do not differ by race, which holds after an extensive battery of robustness checks. We discuss multiple concerns such as the saliency of signals, selection of cities and occupations, and labour market tightness that could affect the results of our audit study and those of others. We also conduct decompositions of wages, unemployment rates, unemployment durations, and employment durations to explore if discrimination might exist in contexts outside our experiment. We conclude by highlighting the essential tests and considerations that are important for future audit studies, regardless of if they find discrimination or not.

Disparities in access to appointments for contraceptive services among Black, Hispanic, White, and recently incarcerated women in Alabama, Louisiana, and Mississippi.

OBJECTIVE: To measure differences in access to contraceptive services based on history of incarceration and its intersections with race/ethnicity and insurance status. DATA SOURCES AND STUDY SETTING: Primary data were collected from telephone calls to physician offices in Alabama, Louisiana, and Mississippi in 2021. STUDY DESIGN: We deployed a field experiment. The outcome variables were appointment offers, wait days, and questions asked of the caller. The independent variables were callers' incarceration history, race/ethnicity, and insurance. DATA COLLECTION METHODS: Using standardized scripts, Black, Hispanic, and White female research assistants called actively licensed primary care physicians and Obstetrician/Gynecologists asking for the next available appointment for a contraception prescription. Physicians were randomly selected and randomly assigned to callers. In half of calls, callers mentioned recent incarceration. We also varied insurance status. PRINCIPAL FINDINGS: Appointment offer rates were five percentage points lower (95% CI: -0.10 to 0.01) for patients with a history of incarceration and 11 percentage points lower (95% CI: -0.15 to -0.06) for those with Medicaid. We did not find significant differences in appointment offer rates or wait days when incarceration status was interacted with race or insurance. Schedulers asked questions about insurance significantly more often to recently incarcerated Black patients and recently incarcerated patients who had Medicaid. CONCLUSIONS: Women with a history of incarceration have less access to medical appointments; this access did not vary by race or insurance status among women with a history of incarceration.

Comparing prospectively assigned trial and real-world lung cancer patients.

Aim: To evaluate the comparability of a probable clinical trial (CT) cohort derived from electronic medical records (EMR) data with a real-world cohort treated with the same therapy and identified using the same inclusion and exclusion criteria to emulate an external control. Methods: We utilized de-identified patient-level structured data sourced from EMRs. We then compared patterns of overall survival (OS) between probable CT patients with those drawn from non-contemporaneous real-world data (RWD) using a two-sided log-rank test, hazard ratios (HRs) using a Cox proportional-hazards model and Kaplan-Meier (KM) survival curves. Each regression estimate was calculated with a corresponding 95% confidence interval. We additionally conducted multiple matching methods to assess their relative performance. Results: Median (standard deviation) OS was 10.2 (0.7) months for the RWD arm and 11.3 (1.3) for the probable CT arm with a Log rank p-value equal to 0.4771. OS in both cohorts is longer than the reported CT median OS of 9.2 (0.6). The HRs generated under all five assessed matching methods (including without adjustment) were not statistically significant at the 95% confidence level. Conclusion: Our results suggest, with caveats noted, that survival patterns between real-world and CT cohorts in this NSCLC setting are not statistically significantly different.

Building a Culture of Health Through the Built Environment: Impact of a Cluster Randomized Trial Remediating Vacant and Abandoned Property on Health Mindsets.

Changing built environment conditions to impact health mindsets and health equity may be a promising target for public health interventions. The present study was a cluster randomized controlled trial to test the impact of remediating vacant and abandoned properties on factors related to health mindset-including well-being, health interconnectedness, social capital markers, neighborhood disorder and worry-as well as direct and indirect violence experiences and the moderating role of racial and income segregation on outcomes. A residential cohort of 405 participants from 194 randomly assigned geographic clusters were surveyed over five waves from 2019 to 2023. Compared to clusters with no treatment, participants in clusters where both vacant lots and abandoned homes were treated experienced significant increases in sense of community (83%, 95% CI=71 to 96%, p=0.01). Among participants in randomization clusters where only vacant lots were treated, there were declines in perceived neighborhood disorder (-55%, 95% CI=-79 to -5, p=0.06) and worry about community violence (-56%, 95% CI=-58 to - 12, p=0.06). There was also a moderating effect of racial and income spatial polarization, with the greatest changes in sense of community observed among more deprived areas with both homes and lots treated; and the largest changes in neighborhood worry and disorder were seen in more deprived areas with only lots treated. Remediation of vacant and abandoned properties may be one approach to change some but not all mindsets around health, and the effects may depend on the type of remediation as well as larger neighborhood conditions such segregation.

Disparities in Access to Primary Care Appointments Among Asian American Subgroups, and the Impact of Concordance.

While Asian Americans experience disparate access to health services, little is known about the extent to which providers discriminate against Asian American patients. Further, research on Asian American health disparities tends to group Asian American ethnicities together, overlooking potential within-group differences. We deployed a field experiment to assess whether Asian American ethnic sub-groups experience discrimination in appointment scheduling. We further explored the impact of racial concordance between Asian patients and physicians. Overall, we did not detect significant differences in appointment offer rates between White and Asian American patients. However, we found that Asian Americans experienced longer wait times driven primarily by the treatment of patients of Chinese and Korean descent. Physician offices, surprisingly, offered concordant Asian patients appointments at significantly lower rates. The disparities Asian Americans experience relative to White Americans through longer waits for primary care appointments are not consistent across sub-groups. Increased attention to the unique experiences of people of Asian descent in accessing health services is warranted.

Improving Real-World Mortality Data Quality in Oncology Research: Augmenting Electronic Medical Records With Obituary, Social Security Death Index, and Commercial Claims Data.

PURPOSE: This study evaluated the relative improvements in mortality data capture of adding different external data to enriched electronic medical records (EMRs) for patients with melanoma. METHODS: An enriched EMR database, containing structured and unstructured data, was used to evaluate the incremental mortality data capture of the following external data sources: Social Security Administration (SSA), public obituary, and an administrative open-claims database for the claims data set. Overall survival (OS) was assessed for each data set and the composite data set using the Kaplan-Meier method. RESULTS: A total of 3,882 patients were included in the study. The enriched EMR data set identified 1,085 patients with a death record. The SSA data set identified 213 patients (73 unique when combined with enriched EMR) with a death record, while the obituary data set identified 1,127 patients (241 unique). The administrative claims data set identified 378 patients (73 unique) with a death record; however, all these unique patients were already accounted for in the combined SSA and obituary data set. The composite data set yielded a median OS of 13.39 years, about 4 years shorter than the enriched EMR data set alone (17.63 years). CONCLUSION: When the enriched EMR data set was augmented with one external data set, the obituary data set provided the most additional value, followed by claims, and then SSA. The augmentation of all the data sources had a significant impact on the OS results compared with enriched EMR alone.

Associations Between State and Local Government Spending and Pregnancy-Related Mortality in the U.S.

INTRODUCTION: There is limited evidence on how government spending is associated with maternal death. This study investigates the associations between state and local government spending on social and healthcare services and pregnancy-related mortality among the total, non-Hispanic Black, Hispanic, and non-Hispanic White populations. METHODS: State-specific total population and race/ethnicity-specific 5-year (2015-2019) pregnancy-related mortality ratios were estimated from annual natality and mortality files provided by the National Center for Health Statistics. Data on state and local government spending and population-level characteristics were obtained from U.S. Census Bureau surveys. Generalized linear Poisson regression models with robust SEs were fitted to estimate adjusted rate ratios and 95% CIs associated with proportions of total spending allocated to social services and healthcare domains, adjusting for state-level covariates. All analyses were completed in 2021-2022. RESULTS: State and local government spending on transportation was associated with 11% lower overall pregnancy-related mortality (adjusted rate ratio=0.89, 95% CI=0.83, 0.96) and 9%-12% lower pregnancy-related mortality among the racial/ethnic groups. Among spending subdomains, expenditures on higher education, highways and roads, and parks and recreation were associated with lower pregnancy-related mortality rates in the total population (adjusted rate ratio=0.90, 95% CI=0.86, 0.94; adjusted rate ratio=0.87, 95% CI=0.81, 0.94; and adjusted rate ratio=0.68, 95% CI=0.49, 0.95, respectively). These results were consistent among the racial/ethnic groups, but patterns of associations with pregnancy-related mortality and other spending subdomains differed notably between racial/ethnic groups. CONCLUSIONS: Investing more in local- and state-targeted spending in social services may decrease the risk for pregnancy-related mortality, particularly among Black women.

Opioid prescribing restrictions and opioid use among the Louisiana Medicaid population.

BACKGROUND: Most states in the U.S. have enacted prescription opioid quantity limits to curb long-term opioid dependency. While several studies of these policies find reductions in subsequent prescriptions, others find mixed results in reducing overall opioid prescriptions and prescription length. Our objective was to examine three opioid restriction policies implemented in Louisiana Medicaid: (1) a 15-day quantity limit for opioid-naïve acute pain patients, (2) a subsequent further reduction to a 7-day quantity limit and a Morphine Milligram Equivalent Dosing (MME) limit of 120mg per day, and (3) a final reduction in daily MMEs to 90mg per day. METHODS: Using interrupted time series (ITS) models with Medicaid pharmacy claims data, we estimated changes in trends of opioid prescription fills associated with opioid restriction policies in Louisiana Medicaid. Outcomes of interest included average opioid prescription length, average MMEs per day, and the likelihood that an opioid-naïve beneficiary who received their first opioid prescription filled a second prescription within 30 or 60 days of their initial fill. RESULTS: 15-day and 7-day opioid prescription quantity limits were associated with a 0.720 and a 0.401 day reduction in average opioid prescription lengths. 7-day limits were associated with a 2.7 and a 3.0 percentage point reduction in the likelihood of a second opioid prescription fill within 30 or 60 days of the initial fill. The 120mg per day MME limit was associated with a 0.80 MMEs per day reduction in average daily MMEs. Further restricting daily MMEs to 90mg per day had no statistically significant association with average daily MMEs. CONCLUSION: These findings suggest that efforts to limit opioid exposure through the implementation of prescription quantity limits and MME restrictions in Louisiana's Medicaid program were successful and are likely to be associated with a reduction in future opioid dependency among the state's Medicaid population.

Practice radiation patterns among oncologists in the Oncology Care Model.

OBJECTIVES: CMS created the Oncology Care Model (OCM) to increase the delivery of cost-efficient cancer care, but in linking medical oncologist compensation to total costs of care, the model also prompted concerns about reductions in radiation therapy utilization. We compare practices that participated in the model with those that did not through its launch to estimate whether radiation therapy utilization was reduced under the OCM. STUDY DESIGN: Retrospective analysis of a secondary claims-based data set. METHODS: We used 5 years of reimbursement claims data from a large community oncology network in which approximately half of the practices participated in the OCM to measure the relative change in utilization following OCM participation compared with practices that did not participate in the OCM. We evaluated use of radiation therapy for all cancer diagnoses and, more specifically, bone metastases, lung cancer, and breast cancer to assess whether effects varied by setting using 3 quasi-experimental estimation techniques (difference-in-differences, event study, and triple differences regressions). RESULTS: We found no evidence of reductions in radiation therapy utilization associated with the OCM between participant and nonparticipant practices in any of the specifications or subpopulations analyzed. CONCLUSIONS: Despite the potential incentives for medical oncologists to reduce radiation therapy utilization, we found no evidence that such reduction occurred.

COVID-19 and Routine Childhood and Adolescent Immunizations: Evidence from Louisiana Medicaid.

The COVID-19 pandemic disrupted routine vaccinations for children and adolescents. However, it remains unclear whether the impact has been different for children and adolescents from low-income families. To address this, we compared monthly routine vaccination use per 1000 vaccine-eligible children and adolescents enrolled in Louisiana Medicaid in the years before (2017-2019) and during the COVID-19 pandemic (2020). Compared to the 2017-2019 average vaccination rates, we found a 28% reduction in measles, mumps, and rubella (MMR), a 35% reduction in human papillomavirus (HPV), and a 30% reduction in tetanus, diphtheria, pertussis (Tdap) vaccinations in 2020. Vaccine uptake was lower in April 2020 after the declaration of a state of emergency and in late summer when back-to-school vaccinations ordinarily occur. We found little evidence of recovery in later months. Our findings suggest that a substantial number of disadvantaged children may experience longer periods of vulnerability to preventable infections because of missed vaccinations.