Evidence map›Paper›PMID 39881286›Full record

ArticleBMC public health2025

Mortality in the families of children during the COVID-19 pandemic: evidence from a repeated cross-sectional study of children in the United States.

Kao-Ping Chua, Rena M Conti, Nora V Becker

Abstract read
In one paragraph

Article in BMC public health, 2025. 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

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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

3 authors.

Kao-Ping ChuaSusan B. Meister Child Health Evaluation and Research Center, University of Michigan Medical School, Ann Arbor, USA. chuak@med.umich.edu.
Rena M ContiDepartment of Markets, Public Policy, Questrom School of Business, Boston University, And Law, Boston, USA.
Nora V BeckerDivision of General Medicine, University of Michigan Medical School, Ann Arbor, USA.

Funding

Using Default Opioid Prescription Settings to Limit Excessive Opioid Prescribing to Adolescents and Young AdultsK08DA048110 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHUA, KAO-PING · 2019 to 2023
$983k
AHRQ HHS 1K08HS028817-01A1AHRQ HHS K08 HS028817NIDA NIH HHS 1K08DA048110-04NIDA NIH HHS K08 DA048110
6 · The paper itself

Abstract

backgroundModeling studies suggest that hundreds of thousands of U.S. children have lost caregivers since the COVID-19 pandemic began. However, few studies have directly evaluated changes in mortality in the families of U.S. children using patient-level data, characterized adult decedents and their surviving children, or accounted for the loss of the adult siblings of children.

methodsWe conducted a repeated cross-sectional analysis using Optum's De-identified Clinformatics

resultsFrom January 2016 through February 2020, the median monthly proportion of families with ≥ 1 adult death was 0.000076 (7.6 per 100,000 families). This rose to 12.1 per 100,000 families in December 2020, fell below the pre-pandemic median during March-July 2021, and exceeded this median for most months during August-December 2021. Among adult decedents, 63.8% were male and mean age was 44.8 (11.4) years. Among surviving children, 59.5% were adolescents aged 12-17 years. Among adult decedents, 4.8% were the siblings of children.

conclusionsDuring the pandemic, the proportion of privately insured children experiencing the loss of an adult family members varied over time, with the highest rates occurring at the end of 2020 and the second half of 2021. Some children lost adult siblings, suggesting that screening for child bereavement should include all family members, not just parents/guardians.

Indexed as

COVID-19FamilyMortalityAdolescentAdultChildChild, PreschoolCross-Sectional StudiesFemaleHumansInfantInfant, NewbornMalePandemicsSiblingsUnited StatesChildrenCOVID-19Mortality

Identifiers

PMID39881286
PMCPMC11780757

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.