Place-based opportunity and well child visit attendance in early childhood.

BACKGROUND AND OBJECTIVES: Lower neighborhood opportunity, measured by the Child Opportunity Index [COI], is associated with increased pediatric morbidity, but is less frequently used to examine longitudinal well child care. We aimed to evaluate associations between the COI and well child visit [WCV] attendance from birth-<36 months of age. METHODS: The Upstate KIDS population-based birth cohort includes children born 2008-2010 in New York state. The exposure, 2010 census tract COI (very low [VL] to very high [VH]), was linked to children's geocoded residential address at birth. The outcome was attended WCVs from birth- <36 months of age. Parents reported WCVs and their child's corresponding age on questionnaires every 4-6 months. This data was applied to appropriate age ranges for recommended WCVs to determine attendance. Associations were modeled longitudinally as odds of attending visits and as mean differences in proportions of WCVs by COI. RESULTS: Among 4,650 children, 21% (n=977) experienced VL or low COI. Children experiencing VL (adjusted OR [aOR] 0.68, 95%CI 0.61, 0.76), low (aOR 0.81, 95%CI 0.73, 0.90), and moderate COI (aOR 0.88, 95%CI 0.81, 0.96), compared to VH COI, had decreased odds of attending any WCV. The estimated, adjusted mean proportions of WCV attendance were lower among children experiencing VL (0.45, p<.0001), low (0.53, p=0.002), moderate (0.53, p=0.0005), and high (0.54, p=0.03) compared to VH COI (0.56). CONCLUSIONS: Lower COI at birth was associated with decreased WCV attendance throughout early childhood. Reducing barriers to healthcare access for children experiencing lower COI may advance equitable well child care.

Child Opportunity Index Mobility, Recurrent Wheezing, and Asthma in Early Childhood: A Population-Based Prospective Cohort Study.

We prospectively examined associations between mobility in neighborhood opportunity and early childhood recurrent wheezing/asthma. Downward mobility was associated with developing asthma, but not recurrent wheezing, though associations were attenuated after adjusting for family-level socioeconomic status. Elucidating how neighborhoods impact asthma may inform asthma equity initiatives in early childhood.

Disparities in Racial, Ethnic, and Payer Groups for Pediatric Safety Events in US Hospitals.

BACKGROUND AND OBJECTIVES: Health care disparities are pervasive, but little is known about disparities in pediatric safety. We analyzed a national sample of hospitalizations to identify disparities in safety events. METHODS: In this population-based, retrospective cohort study of the 2019 Kids' Inpatient Database, independent variables were race, ethnicity, and payer. Outcomes were Agency for Healthcare Research and Quality pediatric safety indicators (PDIs). Risk-adjusted odds ratios were calculated using white and private payer reference groups. Differences by payer were evaluated by stratifying race and ethnicity. RESULTS: Race and ethnicity of the 5 243 750 discharged patients were white, 46%; Hispanic, 19%; Black, 15%; missing, 8%; other race/multiracial, 7%, Asian American/Pacific Islander, 5%; and Native American, 1%. PDI rates (per 10 000 discharges) were 331.4 for neonatal blood stream infection, 267.5 for postoperative respiratory failure, 114.9 for postoperative sepsis, 29.5 for postoperative hemorrhage/hematoma, 5.6 for central-line blood stream infection, 3.5 for accidental puncture/laceration, and 0.7 for iatrogenic pneumothorax. Compared with white patients, Black and Hispanic patients had significantly greater odds in 5 of 7 PDIs; the largest disparities occurred in postoperative sepsis (adjusted odds ratio, 1.55 [1.38-1.73]) for Black patients and postoperative respiratory failure (adjusted odds ratio, 1.34 [1.21-1.49]) for Hispanic patients. Compared with privately insured patients, Medicaid-covered patients had significantly greater odds in 4 of 7 PDIs; the largest disparity occurred in postoperative sepsis (adjusted odds ratios, 1.45 [1.33-1.59]). Stratified analyses demonstrated persistent disparities by race and ethnicity, even among privately insured children. CONCLUSIONS: Disparities in safety events were identified for Black and Hispanic children, indicating a need for targeted interventions to improve patient safety in the hospital.

Care Models and Discharge Services for Children With Medical Complexity.

BACKGROUND AND OBJECTIVES: Children with medical complexity (CMC) are high health care utilizers prompting hospitals to implement care models focused on this population, yet practices have not been evaluated on a national level. Our objective with this study is to describe the presence and structure of care models and the use of discharge services for CMC admitted to freestanding children's hospitals across the nation. METHODS: We distributed an electronic survey to 48 hospitals within the Pediatric Health Information System exploring the availability of care models and discharge services for CMC. Care models were grouped by type and number present at each institution. Discharge services were grouped by low (never, rarely), medium (sometimes), and high (most of the time, always) frequency use. RESULTS: Of 48 eligible hospitals, 33 completed the survey (69%). There were no significant differences between responders and non-responders for both hospital and patient characteristics. Most participants identified an outpatient care model (67%), whereas 21% had no dedicated care model for CMC in the inpatient or outpatient setting. High-frequency discharge services included durable medical equipment delivery, medication delivery, and communication with outpatient provider before discharge. Low-frequency discharge services included the use of a structured handoff tool for outpatient communication, personalized access plans, inpatient team follow-up with family after discharge, and the use of discharge checklists. CONCLUSIONS: Children's hospitals vary largely in care model structure and discharge services. Future work is needed to evaluate the associations between care models and discharge services for CMC with various health care outcomes.

Racial and ethnic disparities in diagnostic imaging for child physical abuse.

IMPORTANCE: Racial bias may affect occult injury testing decisions for children with concern for abuse. OBJECTIVES: To determine the association of race on occult injury testing decisions at children's hospitals. DESIGN: In this retrospective study, we measured disparities in: (1) the proportion of visits for which indicated diagnostic imaging studies for child abuse were obtained; (2) the proportion of positive tests. SETTING: The Pediatric Health Information System (PHIS) administrative database encompassing 49 tertiary children's hospitals during 2017-2019. PARTICIPANTS: We built three cohorts based on guidelines for diagnostic testing for child abuse: infants with traumatic brain injury (TBI; n = 1952), children <2 years old with extremity fracture (n = 20,842), and children <2 years old who received a skeletal survey (SS; n = 13,081). MAIN OUTCOMES AND MEASURES: For each group we measured: (1) the odds of receiving a specific guideline-recommended diagnostic imaging study; (2) among those with the indicated imaging study, the odds of an abuse-related injury diagnosis. We calculated both unadjusted and adjusted odds ratios (AOR) by race and ethnicity, adjusting for sex, age in months, payor, and hospital. RESULTS: In infants with TBI, the odds of receiving a SS did not differ by racial group. Among those with a SS, the odds of rib fracture were higher for non-Hispanic Black than Hispanic (AOR 2.05 (CI 1.31, 3.2)) and non-Hispanic White (AOR 1.57 (CI 1.11, 2.32)) patients. In children with extremity fractures, the odds of receiving a SS were higher for non-Hispanic Black than Hispanic and non-Hispanic White patients (AOR 1.97 (CI 1.74, 2.23)); (AOR 1.17 (CI 1.05, 1.31)), respectively, and lower for Hispanic than non-Hispanic White patients (AOR 0.59 (CI 0.53, 0.67)). Among those receiving a SS, the rate of rib fractures did not differ by race. In children with skeletal surveys, the odds of receiving neuroimaging did not differ by race. Among those with neuroimaging, the odds of a non-fracture, non-concussion TBI were lower in non-Hispanic Black than Hispanic patients (AOR 0.7 (CI 0.57, 0.86)) and were higher among Hispanic than non-Hispanic White patients (AOR 1.23 (CI 1.02, 1.47)). CONCLUSIONS AND RELEVANCE: We did not identify a consistent pattern of race-based disparities in occult injury testing when considering the concurrent yield for abuse-related injuries.

Variation in Length of Stay by Level of Neonatal Care Among Moderate and Late Preterm Infants.

BACKGROUND AND OBJECTIVES: Moderate and late preterm infants are a growing subgroup of neonates with increased care needs after birth, yet standard protocols are lacking. We aim to describe variation in length of stay (LOS) by gestational age (GA) across hospitals within the same level of neonatal care and between different levels of neonatal care. METHODS: Retrospective cohort study of hospitalizations for moderate (32-33 weeks GA) and late (34-36 weeks GA) preterm infants in 2019 Kid's Inpatient Database. We compared adjusted LOS in this cohort and evaluated variation within hospitals of the same level and across different levels of neonatal care. RESULTS: This study includes 217 051 moderate (26.2%) and late (73.8%) preterm infants from level II (19.7%), III (66.3%), and IV (11.1%) hospitals. Patient-level (race and ethnicity, primary payor, delivery type, multiple gestation, birth weight) and hospital-level (birth region, level of neonatal care) factors were significantly associated with LOS. Adjusted mean LOS varied for hospitals within the same level of neonatal care with level II hospitals showing the greatest variability among 34- to 36- week GA infants when compared with level III and IV hospitals (P < .01). LOS also varied significantly between levels of neonatal care with the greatest variation (0.9 days) seen in 32-week GA between level III and level IV hospitals. CONCLUSIONS: For moderate and late preterm infants, the level of neonatal care was associated with variation in LOS after adjusting for clinical severity. Hospitals providing level II neonatal care showed the greatest variation and may provide an opportunity to standardize care.

The Child Opportunity Index and asthma morbidity among children younger than 5 years old in Washington, DC.

BACKGROUND: Place-based social determinants of health are associated with pediatric asthma morbidity. However, there is little evidence on how social determinants of health correlate to the disproportionately high rates of asthma morbidity experienced by children <5 years old. OBJECTIVES: This study sought to evaluate census tract associations between the Child Opportunity Index ±COI) and at-risk rates (ARRs) for pediatric asthma-related emergency department (ED) encounters and hospitalizations in Washington, DC. METHODS: This was a cross-sectional study of children <5 years old with physician-diagnosed asthma included in the DC Asthma Registry between January 2018 and December 2019. Census tract COI score (1-100) and its 3 domains (social/economic, health/environmental, and educational) were the exposures (source: www.diversitydatakids.org). ED and hospitalization ARRs (outcomes) were created by dividing counts of ED encounters and hospitalizations by populations with asthma for each census tract and adjusted for population-level demographic (age, sex, insurance), clinical (asthma severity), and community (violent crime and limited English proficiency) covariates. RESULTS: Within a study population of 3806 children with a mean age of 2.4 ± 1.4 years, 2132 (56%) had 5852 ED encounters, and 821 (22%) had 1418 hospitalizations. Greater census tract overall COI, social/economic COI, and educational COI were associated with fewer ED ARRs. There were no associations between the health/environmental COI and ED ARRs or between the COI and hospitalization ARRs. CONCLUSION: Improving community-level social, economic, and educational opportunity within specific census tracts may reduce ED ARRs in this population.

Caregiver Language Preference and Health Care Utilization Among Children With Asthma.

BACKGROUND AND OBJECTIVES: Asthma is a leading cause of health care utilization in children and disproportionately affects historically marginalized populations. Yet, limited data exist on the role of caregiver language preference on asthma morbidity. The study aim was to determine whether caregiver non-English language preference (NELP) is associated with unscheduled asthma-related health care utilization in pediatric patients. METHODS: This was a retrospective cohort study using data from a population-level, disease-specific registry of pediatric patients with asthma living in the District of Columbia (DC). Patients aged 2 to 17 years were included and the study period was 2019. The primary exposure variable was language preference: English preferred (EP) or NELP by self-identified language preference. The primary outcome was unscheduled asthma-related health care utilization including emergency department visits, hospitalizations (ICU and non-ICU), and ICU visits alone. Logistic regression was used to calculate adjusted odds ratios (aORs). RESULTS: Of the 14 431 patients included, 8.1% had NELP (1172 patients). In analyses adjusted for age, sex, ethnicity, insurance status, diagnosis of persistent asthma, controller prescription, and encounter with a primary care provider, caregiver NELP was associated with an increased odds of having an asthma-related emergency department visit (aOR, 1.37; 95% CI, 1.08-1.74), hospitalization (aOR, 1.79; 95% CI, 1.18-2.72), and ICU visit (aOR, 4.37; 95% CI, 1.93-9.92). In the Hispanic subgroup (n = 1555), caregiver NELP was associated with an increased odds of having an asthma-related hospitalization (aOR, 1.73; 95% CI, 1.02-2.93). CONCLUSIONS: In the population of children in the District of Columbia with asthma, caregiver NELP was associated with increased odds of asthma-related health care utilization, suggesting that caregiver language preference is a significant determinant of asthma outcomes.

Epidemiology and Severity of Illness of MIS-C and Kawasaki Disease During the COVID-19 Pandemic.

BACKGROUND AND OBJECTIVES: Multisystem inflammatory syndrome in children (MIS-C) is a novel, severe condition following severe acute respiratory syndrome coronavirus 2 infection. Large epidemiologic studies comparing MIS-C to Kawasaki disease (KD) and evaluating the evolving epidemiology of MIS-C over time are lacking. We sought to understand the illness severity of MIS-C compared with KD and evaluate changes in MIS-C illness severity over time during the coronavirus disease 2019 pandemic compared with KD. METHODS: We included hospitalizations of children with MIS-C and KD from April 2020 to May 2022 from the Pediatric Health Information System administrative database. Our primary outcome measure was the presence of shock, defined as the use of vasoactive/inotropic cardiac support or extracorporeal membrane oxygenation. We examined the volume of MIS-C and KD hospitalizations and the proportion of hospitalizations with shock over time using 2-week intervals. We compared the proportion of hospitalizations with shock in MIS-C and KD patients over time using generalized estimating equations adjusting for hospital clustering and age, with time as a fixed effect. RESULTS: We identified 4868 hospitalizations for MIS-C and 2387 hospitalizations for KD. There was a higher proportion of hospitalizations with shock in MIS-C compared with KD (38.7% vs 5.1%). In our models with time as a fixed effect, we observed a significant decrease in the odds of shock over time in MIS-C patients (odds ratio 0.98, P < .001) but not in KD patients (odds ratio 1.00, P = .062). CONCLUSIONS: We provide further evidence that MIS-C is a distinct condition from KD. MIS-C was a source of lower morbidity as the pandemic progressed.

Child Opportunity Index and Rehospitalization for Ambulatory Care Sensitive Conditions at US Children's Hospitals.

OBJECTIVE: Child Opportunity Index (COI) measures neighborhood contextual factors (education, health and environment, social and economic) that may influence child health. Such factors have been associated with hospitalizations for ambulatory care sensitive conditions (ACSC). Lower COI has been associated with higher health care utilization, yet association with rehospitalization(s) for ACSC remains unknown. Our objective is to determine the association between COI and ACSC rehospitalizations. METHODS: Multicenter retrospective cohort study of children ages 0 to 17 years with a hospital admission for ambulatory care sensitive conditions in 2017 or 2018. Exposure was COI. Outcome was rehospitalization within 1 year of index admission (analyzed as any or ≥2 rehospitalization) for ACSC. Logistic regression models adjusted for age, sex, severity, and complex and mental health conditions. RESULTS: The study included 184 478 children. Of hospitalizations, 28.3% were by children from very low COI and 16.5% were by children from very high COI neighborhoods. In risk-adjusted models, ACSC rehospitalization was higher for children from very low COI than very high COI neighborhoods; any rehospitalization occurred for 18.7% from very low COI and 13.5% from very high COI neighborhoods (adjusted odds ratio 1.14 [1.05-1.23]), whereas ≥2 rehospitalization occurred for 4.8% from very low COI and 3.2% from very high COI neighborhoods (odds ratio 1.51 [1.29-1.75]). CONCLUSIONS: Children from neighborhoods with low COI had higher rehospitalizations for ACSCs. Further research is needed to understand how hospital systems can address social determinants of health in the communities they serve to prevent rehospitalizations.

Social Determinants of Health ICD-10 Code Use in Inpatient Pediatrics.

BACKGROUND AND OBJECTIVES: The American Academy of Pediatrics endorses screening for social determinants of health (SDOH) and providing families resources for unmet needs. A systematic response to unmet needs requires identification, documentation, and provision of resources. Our goal was to compare SDOH International Classification of Diseases, 10th Revision (ICD-10), code use for pediatric inpatients after policy changes in 2018 permitting coding by nonphysicians. METHODS: We conducted a retrospective cohort study comparing data from the 2016 and 2019 Kid's Inpatient Database for patients <21 years old. The primary variable was the presence of an SDOH code, defined as an ICD-10 Z-code (Z55-Z65) or 1 of 13 ICD-10 codes recommended by the American Academy of Pediatrics. We compared overall SDOH code usage between 2016 and 2019, and by Z-code category, demographic, clinical, and hospital characteristics using χ2 tests and odds ratios. Using logistic regression, we examined hospital-level characteristics for hospitals with >5% of discharges with an SDOH code. RESULTS: SDOH code documentation increased from 1.4% in 2016 to 1.9% in 2019 (P < .001), with no notable differences based on Z-code category. In both periods, SDOH code documentation was more common in adolescents, Native Americans, and patients with mental health diagnoses. The number of all hospitals using any SDOH code increased nearly 8% between 2016 and 2019. CONCLUSIONS: ICD-10 codes remain underused to track SDOH needs within the inpatient pediatric setting. Future research should explore whether SDOH code documentation is associated with increased response to unmet social needs and, if so, how to improve use of SDOH codes by all providers.

Population-level SDOH and Pediatric Asthma Health Care Utilization: A Systematic Review.

CONTEXT: Spatial analysis is a population health methodology that can determine geographic distributions of asthma outcomes and examine their relationship to place-based social determinants of health (SDOH). OBJECTIVES: To systematically review US-based studies analyzing associations between SDOH and asthma health care utilization by geographic entities. DATA SOURCES: Pubmed, Medline, Web of Science, Scopus, and Cumulative Index to Nursing and Allied Health Literature. STUDY SELECTION: Empirical, observational US-based studies were included if (1) outcomes included asthma-related emergency department visits or revisits, and hospitalizations or rehospitalizations; (2) exposures were ≥1 SDOH described by the Healthy People (HP) SDOH framework; (3) analysis occurred at the population-level using a geographic entity (eg, census-tract); (4) results were reported separately for children ≤18 years. DATA EXTRACTION: Two reviewers collected data on study information, demographics, geographic entities, SDOH exposures, and asthma outcomes. We used the HP SDOH framework's 5 domains to organize and synthesize study findings. RESULTS: The initial search identified 815 studies; 40 met inclusion criteria. Zip-code tabulation areas (n = 16) and census-tracts (n = 9) were frequently used geographic entities. Ten SDOH were evaluated across all HP domains. Most studies (n = 37) found significant associations between ≥1 SDOH and asthma health care utilization. Poverty and environmental conditions were the most often studied SDOH. Eight SDOH-poverty, higher education enrollment, health care access, primary care access, discrimination, environmental conditions, housing quality, and crime - had consistent significant associations with asthma health care utilization. CONCLUSIONS: Population-level SDOH are associated with asthma health care utilization when evaluated by geographic entities. Future work using similar methodology may improve this research's quality and utility.

Pediatric Respiratory Illnesses: An Update on Achievable Benchmarks of Care.

BACKGROUND AND OBJECTIVES: Pediatric respiratory illnesses (PRI): asthma, bronchiolitis, pneumonia, croup, and influenza are leading causes of pediatric hospitalizations, and emergency department (ED) visits in the United States. There is a lack of standardized measures to assess the quality of hospital care delivered for these conditions. We aimed to develop a measure set for automated data extraction from administrative data sets and evaluate its performance including updated achievable benchmarks of care (ABC). METHODS: A multidisciplinary subject-matter experts team selected quality measures from multiple sources. The measure set was applied to the Public Health Information System database (Children's Hospital Association, Lenexa, KS) to cohorts of ED visits and hospitalizations from 2017 to 2019. ABC for pertinent measures and performance gaps of mean values from the ABC were estimated. ABC were compared with previous reports. RESULTS: The measure set: PRI report includes a total of 94 quality measures. The study cohort included 984 337 episodes of care, and 82.3% were discharged from the ED. Measures with low performance included bronchodilators (19.7%) and chest x-rays (14.4%) for bronchiolitis in the ED. These indicators were (34.6%) and (29.5%) in the hospitalized cohort. In pneumonia, there was a 57.3% use of narrow spectrum antibiotics. In general, compared with previous reports, there was improvement toward optimal performance for the ABCs. CONCLUSIONS: The PRI report provides performance data including ABC and identifies performance gaps in the quality of care for common respiratory illnesses. Future directions include examining health inequities, and understanding and addressing the effects of the coronavirus disease 2019 pandemic on care quality.

Implementing a Post-Discharge Telemedicine Service Pilot to Enhance the Hospital to Home Transition.

OBJECTIVES: The objectives of this study are to (1) describe our postdischarge telemedicine program and (2) evaluate program implementation. METHODS: At our single-center tertiary care children's hospital, we launched our postdischarge telemedicine program in April 2020. We used the Template for Intervention Description and Replication framework to describe our pilot program and Proctor's conceptual framework to evaluate implementation over a 9-month period. Retrospective chart review was conducted. Descriptive analyses were used to compare demographics and health care reutilization rates across patients. Implementation outcomes included adoption (rate of scheduled visits) and feasibility (rate of completed visits). Effectiveness outcomes included the rate of postdischarge issues and unscheduled healthcare utilization. RESULTS: We established a postdischarge telemedicine program for a general pediatric population that ensured follow-up at a time when in-person evaluation was limited because of the coronavirus disease 2019 pandemic. For implementation evaluation, we included all 107 patients in the pilot program. Adoption was 100% and feasibility was 58%. Eighty-two percent of patients completing a visit reported one or more postdischarge issues. There was no difference in health system reutilization between those who completed a visit and those who did not. CONCLUSIONS: Implementation of a postdischarge telemedicine service is achievable and promotes early detection of failures in the hospital to home transition. Directions for future study will include rigorous program evaluation via telemedicine program assessment tools and sustainability efforts that build upon known implementation and health service outcomes.

National cross-sectional study on cost consciousness, cost accuracy, and national medical waste reduction initiative knowledge among pediatric hospitalists in the United States.

BACKGROUND/OBJECTIVE: Despite initiatives to reduce waste and spending, there is a gap in physician knowledge regarding the cost of commonly ordered items. We examined the relationship between pediatric hospitalists' knowledge of national medical waste reduction initiatives, self-reported level of cost-consciousness (the degree in which cost affects practice), and cost accuracy (how close an estimate is to its hospital cost) at a national level. METHODS: This cross-sectional study used a national, online survey sent to hospitalists at 49 children's hospitals to assess their knowledge of national medical waste reduction initiatives, self-reported cost consciousness, and cost estimates for commonly ordered laboratory studies, medications, and imaging studies. Actual unit costs for each hospital were obtained from the Pediatric Health Information System (PHIS). Cost accuracy was calculated as the percent difference between each respondent's estimate and unit costs, using cost-charge ratios (CCR). RESULTS: The hospitalist response rate was 17.7% (327/1850), representing 40 hospitals. Overall, 33.1% of respondents had no knowledge of national medical waste reduction initiatives and 24.3% had no knowledge of local hospital costs. There was no significant relationship between cost accuracy and knowledge of national medical waste reduction initiatives or high self-reported cost consciousness. Hospitalists with the highest self-reported cost consciousness were the least accurate in estimating costs for commonly ordered laboratory studies, medications, or imaging studies. Respondents overestimated the cost of all items with the largest percent difference with medications. Hospitalists practicing over 15 years had the highest cost accuracy. CONCLUSIONS: A large proportion of pediatric hospitalists lack knowledge on national waste reduction initiatives. Improving the cost-accuracy of pediatric hospitalists may not reduce health care costs as they overestimated many hospital costs. Median unit cost lists could be a resource for educating medical students and residents about health care costs.

Identifying and Validating Pediatric Hospitalizations for MIS-C Through Administrative Data.

BACKGROUND: Individual children's hospitals care for a small number of patients with multisystem inflammatory syndrome in children (MIS-C). Administrative databases offer an opportunity to conduct generalizable research; however, identifying patients with MIS-C is challenging. METHODS: We developed and validated algorithms to identify MIS-C hospitalizations in administrative databases. We developed 10 approaches using diagnostic codes and medication billing data and applied them to the Pediatric Health Information System from January 2020 to August 2021. We reviewed medical records at 7 geographically diverse hospitals to compare potential cases of MIS-C identified by algorithms to each participating hospital's list of patients with MIS-C (used for public health reporting). RESULTS: The sites had 245 hospitalizations for MIS-C in 2020 and 358 additional MIS-C hospitalizations through August 2021. One algorithm for the identification of cases in 2020 had a sensitivity of 82%, a low false positive rate of 22%, and a positive predictive value (PPV) of 78%. For hospitalizations in 2021, the sensitivity of the MIS-C diagnosis code was 98% with 84% PPV. CONCLUSION: We developed high-sensitivity algorithms to use for epidemiologic research and high-PPV algorithms for comparative effectiveness research. Accurate algorithms to identify MIS-C hospitalizations can facilitate important research for understanding this novel entity as it evolves during new waves.