Evidence map›Paper›PMID 37088737›Full record

ArticleJournal of child psychology and psychiatry, and allied disciplines2024

The impact of COVID-19 on psychiatric clinical encounters among low-income racially-diverse children.

Serena A Rusk, Jessica DiBari, Dana M Mason, Mengmeng Li, Xiumei Hong, Guoying Wang, Colleen Pearson, Gabrielle Mirolli, Tina L Cheng, Michael D Kogan and 2 more

Abstract read
In one paragraph

Article in Journal of child psychology and psychiatry, and allied disciplines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Serena A RuskDepartment of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0002-1847-3397
Jessica DiBariOffice of Epidemiology and Research, Maternal and Child Health Bureau, Health Resources and Services Administration, U.S. Department of Health and Human Services, Rockville, MD, USA.
Dana M MasonOffice of Epidemiology and Research, Maternal and Child Health Bureau, Health Resources and Services Administration, U.S. Department of Health and Human Services, Rockville, MD, USA.
Mengmeng LiDepartment of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Xiumei HongDepartment of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Guoying WangDepartment of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Colleen PearsonDepartment of Pediatrics, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Boston, MA, USA.
Gabrielle MirolliDepartment of Pediatrics, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Boston, MA, USA.
Tina L ChengDepartment of Pediatrics, Cincinnati Children's Hospital and University of Cincinnati, Cincinnati, OH, USA.
Michael D KoganOffice of Epidemiology and Research, Maternal and Child Health Bureau, Health Resources and Services Administration, U.S. Department of Health and Human Services, Rockville, MD, USA.
Barry ZuckermanDepartment of Pediatrics, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Boston, MA, USA.
Xiaobin WangDepartment of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.

Funding

Project-005UL1TR001430 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BAIR-MERRITT, MEGAN H, CENTER, DAVID M. · 2015 to 2024
$52.3M
Preterm Birth, Maternal and Cord Blood Metabolome, and Child Metabolic RiskR01HD041702 · NICHD · LURIE CHILDREN'S HOSPITAL OF CHICAGO · PI Frank B Hu, XIAOBIN WANG · 2001 to 2026
$11.1M
Immune Development Across the Life Course: Integrating Exposures and Multi-Omics in the Boston Birth CohortU01ES034983 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI Hongkai Ji, Harry Benjamin Larman · 2022 to 2026
$3.9M
Early Life Determinants of Obesity in U.S. Urban Low Income Minority Birth CohortR01HD086013 · NICHD · JOHNS HOPKINS UNIVERSITY · PI LEE, BRUCE Y, WANG, XIAOBIN · 2016 to 2020
$3.3M
The Hopkins Population CenterP2CHD042854 · NICHD · JOHNS HOPKINS UNIVERSITY · PI Alison Gemmill · 2021 to 2026
$3.0M
Inter-generational Link of Cardio-Metabolic Risk: Integrate Multi-OMICs with Birth CohortR01HD098232 · NICHD · JOHNS HOPKINS UNIVERSITY · PI LIANG, LIMING, WANG, XIAOBIN · 2019 to 2022
$2.7M
Functional RNA Modifications, Micronutrient Exposure, Developmental DisabilitiesR01ES031521 · NIEHS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI WANG, XIAOBIN, XIE, HEHUANG · 2020 to 2024
$1.9M
Maternal Exposure to Low Level Mercury, Metabolome, and Child Cardiometabolic Risk in Multi-Ethnic Prospective Birth CohortsR01ES031272 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI WANG, GUOYING, WANG, XIAOBIN · 2020 to 2024
$1.2M
Establishing Precursors of Food Allergy in NewbornsR21AI079872 · NIAID · LURIE CHILDREN'S HOSPITAL OF CHICAGO · PI WANG, XIAOBIN · 2008 to 2009
$447k
NCATS NIH HHS UL1 TR001430NIAID NIH HHS R21 AI079872NICHD NIH HHS P2C HD042854NICHD NIH HHS R01 HD041702NICHD NIH HHS R01 HD086013NICHD NIH HHS R01 HD098232NIEHS NIH HHS R01 ES031272NIEHS NIH HHS R01 ES031521NIEHS NIH HHS U01 ES034983NIH HHS R01ES031272NIH HHS R01ES031521NIH HHS R01HD041702NIH HHS R01HD086013NIH HHS R01HD098232
6 · The paper itself

Abstract

backgroundThere is a lack of longitudinal data to examine the impact of COVID-19 on all types of clinical encounters among United States, underrepresented BIPOC (Black, Indigenous, and people of color), children. This study aims to examine the changes in all the outpatient clinical encounters during the pandemic compared to the baseline, with particular attention to psychiatric encounters and diagnoses.

methodThis study analyzed 3-year (January 2019 to December 2021) longitudinal clinical encounter data from 3,394 children in the Boston Birth Cohort, a US urban, predominantly low-income, Black and Hispanic children. Outcomes of interest were completed outpatient clinical encounters and their modalities (telemedicine vs. in person), including psychiatric care and diagnoses, primary care, emergency department (ED), and developmental and behavioral pediatrics (DBP).

resultsThe study children's mean (SD) age is 13.9 (4.0) years. Compared to 2019, psychiatric encounters increased by 38% in 2020, most notably for diagnoses of adjustment disorders, depression, and post-traumatic stress disorders (PTSD). In contrast, primary care encounters decreased by 33%, ED encounters decreased by 55%, and DBP care decreased by 16% in 2020. Telemedicine was utilized the most for psychiatric and DBP encounters and the least for primary care encounters in 2020. A remarkable change in 2021 was the return of primary care encounters to the 2019 level, but psychiatric encounters fluctuated with spikes in COVID-19 case numbers.

conclusionsAmong this sample of US BIPOC children, compared to the 2019 baseline, psychiatric encounters increased by 38% during 2020, most notably for the new diagnoses of adjustment disorder, depression, and PTSD. The 2021 data showed a full recovery of primary care encounters to the baseline level but psychiatric encounters remained sensitive to the pandemic spikes. The long-term impact of the pandemic on children's mental health warrants further investigation.

Indexed as

COVID-19Stress Disorders, Post-TraumaticTelemedicineAdolescentChildEmergency Service, HospitalHumansRetrospective StudiesUnited StateschildrenCovidhealth care utilizationhealth equityLongitudinalmental health

Identifiers

PMID37088737
PMCPMC10590822

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.