Publications by authors named "Kavita Parikh"

Background: 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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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).

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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.

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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.

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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.

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Objectives: To examine how outpatient mental health (MH) follow-up after a pediatric MH emergency department (ED) discharge varies by patient characteristics and to evaluate the association between timely follow-up and return encounters.

Methods: We conducted a retrospective study of 28 551 children aged 6 to 17 years with MH ED discharges from January 2018 to June 2019, using the IBM Watson MarketScan Medicaid database. Odds of nonemergent outpatient follow-up, adjusted for sociodemographic and clinical characteristics, were estimated using logistic regression.

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Background: Despite the growth of patient safety programs across the United States, errors and adverse events remain a source of patient harm. Many hospitals rely on retrospective voluntary reporting systems; however, there are opportunities to improve patient safety using novel tools like trigger programs.

Methods: Children's National Hospital developed a unique pediatric triggers program that offers customized, near real-time reports of potential safety events.

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Background And Objective: During the coronavirus disease 2019 pandemic, technology-dependent children are at risk of encountering barriers to hospital discharge because of limits to in-home services. Transition difficulties could increase length of stay (LOS). With this study, we aim to (1) evaluate change in LOS and (2) describe barriers to hospital discharge between prepandemic and early pandemic periods for technology-dependent children.

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