Evidence map›Paper›PMID 27940773›Full record

ArticlePediatrics2016

Psychiatric Disorders and Trends in Resource Use in Pediatric Hospitals.

Bonnie T Zima, Jonathan Rodean, Matt Hall, Naomi S Bardach, Tumaini R Coker, Jay G Berry

Open access · bronzeAbstract read
In one paragraph

Article in Pediatrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
16.6field-weighted citation impact, top 1% of its field
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

56 citing papers in PubMed, 126 citations in OpenAlex.

  1. Trial
  2. Predicting Psychiatric Readmission of Children and Adolescents Using Machine Learning.Journal of child and adolescent psychopharmacology · 2026
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  10. Surveying Child and Adolescent Inpatient Psychiatric Units: Demographics, Policies, and Practice.Evidence-based practice in child and adolescent mental health · 2024
    Article
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  12. Trends in Substance-Related Visits Among Youth to US Children's Hospitals, 2016-2021: An Analysis of the Pediatric Health Information System Database.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2024
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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

6 authors at 4 institutions in 1 country.

Bonnie T ZimaDepartments of Psychiatry and Biobehavioral Science, UCLA Semel Institute for Neuroscience and Human Behavior, and bzima@mednet.ucla.edu.
Jonathan RodeanChildren's Hospital Association, Overland Park, Kansas.
Matt HallChildren's Hospital Association, Overland Park, Kansas.
Naomi S BardachDepartment of Pediatrics, UCSF School of Medicine, University of California, San Francisco, San Francisco, California; and.
Tumaini R CokerGeneral Pediatrics, UCLA Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California.
Jay G BerryDivision of General Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts.
Children's Hospital Association · USBoston Children's Hospital · USUniversity of California, Los Angeles · USUniversity of California, San Francisco · US

Funding

The Role of Social Networks in Treatment Engagement for MinoritiesP30MH082760 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WELLS, KENNETH B. · 2008 to 2012
$8.6M
Understanding and Preventing Pediatric Asthma ReadmissionsK23HD065836 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BARDACH, NAOMI SHULA · 2011 to 2015
$697k
Innovative Research Methods to Study Children with Multiple Chronic ConditionsR21HS023092 · AHRQ · BOSTON CHILDREN'S HOSPITAL · PI BERRY, JAY GRIFFIN · 2014 to 2014
$180k
AHRQ HHS R21 HS023092NICHD NIH HHS K23 HD065836NIMH NIH HHS P30 MH082760
6 · The paper itself

Abstract

objectiveTo describe recent, 10-year trends in pediatric hospital resource use with and without a psychiatric diagnosis and examine how these trends vary by type of psychiatric and medical diagnosis cooccurrence.

methodsA retrospective, longitudinal cohort analysis using hospital discharge data from 33 tertiary care US children's hospitals of patients ages 3 to 17 years from January 1, 2005 through December 31, 2014. The trends in hospital discharges, hospital days, and total aggregate costs for each psychiatric comorbid group were assessed by using multivariate generalized estimating equations.

resultsFrom 2005 to 2014, the cumulative percent growth in resource use was significantly (all P < .001) greater for children hospitalized with versus without a psychiatric diagnosis (hospitalizations: +137.7% vs +26.0%; hospital days: +92.9% vs 5.9%; and costs: +142.7% vs + 18.9%). During this time period, the most substantial growth was observed in children admitted with a medical condition who also had a cooccurring psychiatric diagnosis (hospitalizations: +160.5%; hospital days: +112.4%; costs: +156.2%). In 2014, these children accounted for 77.8% of all hospitalizations for children with a psychiatric diagnosis; their most common psychiatric diagnoses were developmental disorders (22.3%), attention-deficit/hyperactivity disorder (18.1%), and anxiety disorders (14.2%).

conclusionsThe 10-year rise in pediatric hospitalizations in US children's hospitals is 5 times greater for children with versus without a psychiatric diagnosis. Strategic planning to meet the rising demand for psychiatric care in tertiary care children's hospitals should place high priority on the needs of children with a primary medical condition and cooccurring psychiatric disorders.

Indexed as

Hospital CostsAdolescentAttention Deficit Disorder with HyperactivityChildChild, PreschoolCohort StudiesDatabases, FactualFemaleHealth ResourcesHospitalizationHospitals, PediatricHumansLength of StayMaleMental DisordersRetrospective Studies

Identifiers

PMID27940773
PMCPMC5079078
OpenAlexW2539427844

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.