Evidence map›Paper›PMID 40810954›Full record

ArticleChild psychiatry and human development2025

Toward Personalizing Care in Adolescent Inpatient Psychiatric Units: A Latent Profile Analysis.

Carl Waitz, Sherry Paden, Ethan Anglemyer, Yohanis Anglero-Diaz, Billy Zou, Annmarie Caracansi, Patricia Ibeziako

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Article in Child psychiatry and human development, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Carl WaitzPsychiatry and Behavioral Sciences, Boston Children's Hospital, 300 Longwood Ave, Boston, MA, 02115, USA. Carl.Waitz@childrens.harvard.edu.ORCID http://orcid.org/0000-0001-7701-5815
Sherry PadenPsychiatry and Behavioral Sciences, Boston Children's Hospital, 300 Longwood Ave, Boston, MA, 02115, USA.ORCID http://orcid.org/0009-0007-5447-7065
Ethan AnglemyerPsychiatry and Behavioral Sciences, Boston Children's Hospital, 300 Longwood Ave, Boston, MA, 02115, USA.ORCID http://orcid.org/0000-0002-6072-9317
Yohanis Anglero-DiazPsychiatry and Behavioral Sciences, Boston Children's Hospital, 300 Longwood Ave, Boston, MA, 02115, USA.ORCID http://orcid.org/0000-0001-5151-5301
Billy ZouPsychiatry and Behavioral Sciences, Boston Children's Hospital, 300 Longwood Ave, Boston, MA, 02115, USA.
Annmarie CaracansiPsychiatry and Behavioral Sciences, Boston Children's Hospital, 300 Longwood Ave, Boston, MA, 02115, USA.ORCID http://orcid.org/0000-0001-7467-6247
Patricia IbeziakoPsychiatry and Behavioral Sciences, Boston Children's Hospital, 300 Longwood Ave, Boston, MA, 02115, USA.ORCID http://orcid.org/0000-0003-4109-8158

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research on youth Inpatient Psychiatric Units (IPUs) is increasing, yet much remains unknown about the treatment setting. Youth IPU research often treats all patients as part of observable groups (e.g., diagnosis), which may miss unobserved patterns in patient needs. To examine differences in patients in youth IPUs in a nuanced, person-centered way, this study uses Latent Profile Analysis (LPA) to examine profile patterns in Patient Reported Outcome Measures administered at admission to youth aged 12-17 on an IPU (n = 496). The LPA identified five profiles characterizing patients: High Internal Distress, Moderate Internal Distress, High Family and Environmental Distress, Moderate Family and Environmental Distress, and Mild Distress. We analyzed these profiles based on race/ethnicity, sex assigned at birth, insurance type, diagnoses, age, length of stay, and treatment satisfaction at discharge. Treatment implications of the LPA and significant findings are discussed and methods of advancing personalization of care are recommended.

Indexed as

Adolescent psychiatryFamily relationsInpatientsLatent class analysisQuality of life

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.