Evidence map›Paper›PMID 31034963›Full record

ArticleGeneral hospital psychiatry

Association between child psychiatric emergency room outcomes and dimensions of psychopathology.

Thomas H McCoy, Anna K Wiste, Alysa E Doyle, Amelia M Pellegrini, Roy H Perlis

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in General hospital psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  7. Mood Disorders and Outcomes of COVID-19 Hospitalizations.The American journal of psychiatry · 2021
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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

5 authors.

Thomas H McCoyCenter for Quantitative Health, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Harvard Medical School, 25 Shattuck Street, Boston, MA 02114, USA; Department of Psychiatry, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA. Electronic address: thmccoy@partners.org.
Anna K WisteCenter for Quantitative Health, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Harvard Medical School, 25 Shattuck Street, Boston, MA 02114, USA.
Alysa E DoyleHarvard Medical School, 25 Shattuck Street, Boston, MA 02114, USA; Department of Psychiatry, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA.
Amelia M PellegriniCenter for Quantitative Health, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA.
Roy H PerlisCenter for Quantitative Health, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Harvard Medical School, 25 Shattuck Street, Boston, MA 02114, USA.

Funding

Natural language processing for characterizing psychopathologyR01MH106577 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI PERLIS, ROY H. · 2016 to 2018
$1.2M
NIMH NIH HHS R01 MH106577
6 · The paper itself

Abstract

objectiveTo determine the degree to which dimensional psychopathology predicts length of stay in an emergency department (ED) and need for hospital admission among children with psychiatric complaints.

methodElectronic health records of children age 4-17 years who presented to the ED of a large academic medical center were analyzed using a natural language processing tool to estimate Research Domain Criteria (RDoC) symptom scores. These scores' association with length of stay and probability of admission versus discharge to home were evaluated.

resultsWe identified 3061 children and adolescents who presented to the ED and were evaluated by the psychiatry service between November 2008 and March 2015. Median length of stay was 7.8 h (interquartile range 5.2-14.3 h) and 1696 (55.4%) were admitted to the hospital. Higher estimated RDoC arousal, cognitive, positive, and social domain scores were associated with increased length of stay in multiple regression models, adjusted for age, sex, race, private insurance, voluntary admission, and diagnostic categories. In similarly adjusted models, odds of hospital admission were increased by higher RDoC arousal and cognitive domain scores and decreased by higher negative domain scores.

conclusionsA natural language processing tool to characterize dimensional psychopathology identified features associated with differential outcomes in children in the psychiatric ED, most notably symptoms reflecting arousal and cognitive function. Methodologically, this in silico approach to risk stratification should facilitate precision psychiatry in children within the emergency setting.

Indexed as

Mental DisordersAdolescentChildChild, PreschoolElectronic Health RecordsEmergency Services, PsychiatricFemaleHumansLength of StayMaleNatural Language ProcessingOutcome Assessment, Health CareComputed phenotypeElectronic health recordEmergency psychiatryNatural language processingRisk stratification

Identifiers

PMID31034963
PMCPMC7392621

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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.