Evidence map›Paper›PMID 39552818›Full record

ArticleJAACAP open2024

Factors Associated With Child and Youth Mental Health Readmissions From a US National Database.

W David Lohr, Kahir S Jawad, Nichole Wood, Jennifer F Le, Michelle D Stevenson, Yana B Feygin, Deborah Winders Davis

Abstract read
In one paragraph

Article in JAACAP open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Predicting Psychiatric Readmission of Children and Adolescents Using Machine Learning.Journal of child and adolescent psychopharmacology · 2026
    Article
  2. Predictors of adolescent psychiatric rehospitalization: A multi-level framework.International journal of nursing studies advances · 2026
    Review
  3. 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

7 authors.

W David LohrDivision of Child & Adolescent Psychiatry and Pediatric Psychology, University of Louisville School of Medicine, Louisville, Kentucky.
Kahir S JawadChild and Adolescent Health Research Design and Support Unit, Norton Children's Research Institute, University of Louisville School of Medicine, Louisville, Kentucky.
Nichole WoodDivision of Child & Adolescent Psychiatry and Pediatric Psychology, University of Louisville School of Medicine, Louisville, Kentucky.
Jennifer F LeDivision of Child & Adolescent Psychiatry and Pediatric Psychology, University of Louisville School of Medicine, Louisville, Kentucky.
Michelle D StevensonDivision of Emergency Medicine, University of Louisville School of Medicine, Louisville, Kentucky, and Norton Children's Hospital, Louisville, Kentucky.
Yana B FeyginChild and Adolescent Health Research Design and Support Unit, Norton Children's Research Institute, University of Louisville School of Medicine, Louisville, Kentucky.
Deborah Winders DavisChild and Adolescent Health Research Design and Support Unit, Norton Children's Research Institute, University of Louisville School of Medicine, Louisville, Kentucky.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To describe and identify factors associated with mental health (MH) readmission rates for youth ages 5 to 17 years discharged between January 2019 and November 2019. Method: This retrospective, cross-sectional analysis using the 2019 Nationwide Readmissions Database identified hospitalizations for patients with a primary diagnosis of an MH condition using the Clinical Classification Software groupings, which are based on Results: A 30-day readmission rate of 7.8% was found for the overall sample with significantly higher rates for youth younger than age 15 years. MH comorbidity was a factor in readmission rates; having ≥3 primary MH conditions was associated with higher rates of readmission (adjusted odds ratio [aOR] = 1.20). Significantly higher rates of readmission were noted for several diagnostic groupings including schizophrenia spectrum and other psychotic disorders (aOR = 1.95); bipolar and related disorders (aOR = 1.42); other specified and unspecified mood disorders (aOR = 1.42); disruptive, impulse-control, and conduct disorders (aOR = 1.32); and neurodevelopmental disorders (aOR = 1.23). Having public insurance (aOR=1.28) and a longer length of stay (AOR = 1.71 for ≥15 days) were associated with significantly higher odds of an MH readmission. Conclusion: A concerning number of children admitted for MH conditions in 2019 were readmitted within 30 days (7.8%). Younger children, children with specific MH diagnoses, children with public health insurance, and children with a long initial length of stay have higher odds for readmission and represent a target for prevention and intervention. Diversity & Inclusion Statement: We worked to ensure that the study questionnaires were prepared in an inclusive way. Diverse cell lines and/or genomic datasets were not available. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented racial and/or ethnic groups in science. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented sexual and/or gender groups in science.

Indexed as

inpatientpediatric mental healthreadmissions

Identifiers

PMID39552818
PMCPMC11562436

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.