Evidence map›Paper›PMID 27761777›Full record

ArticleJournal of clinical psychology in medical settings2016

Validation of a Brief Structured Interview: The Children's Interview for Psychiatric Syndromes (ChIPS).

Matthew E Young, Ziv E Bell, Mary A Fristad

Open access · greenAbstract readValidation Study
In one paragraph

Article in Journal of clinical psychology in medical settings, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. 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 at 3 institutions in 1 country.

Matthew E YoungDepartment of Psychiatry and Behavioral Neuroscience, The University of Chicago Medicine, Chicago, IL, USA.
Ziv E BellDepartment of Psychology, The Ohio State University, Columbus, OH, USA.
Mary A FristadDepartment of Psychiatry and Behavioral Health, The Ohio State Wexner Medical Center, 1670 Upham Drive Suite 460G, Columbus, OH, 43210-1250, USA. mary.fristad@osumc.edu.
The Ohio State University · USThe Ohio State University Wexner Medical Center · USUniversity of Chicago · US

Funding

Longitudinal Assessment of Manic Symptoms (LAMS) StudyR01MH073801 · NIMH · OHIO STATE UNIVERSITY · PI FRISTAD, MARY A · 2005 to 2016
$5.9M
NIMH NIH HHS R01 MH073801
6 · The paper itself

Abstract

Evidence-based assessment is important in the treatment of childhood psychopathology. While researchers and clinicians frequently use structured diagnostic interviews to ensure reliability, the most commonly used instrument, the Schedule for Affective Disorders and Schizophrenia for School Aged Children (K-SADS) is too long for most clinical applications. The Children's Interview for Psychiatric Syndromes (ChIPS/P-ChIPS) is a highly-structured brief diagnostic interview. The present study compared K-SADS and ChIPS/P-ChIPS diagnoses in an outpatient clinical sample of 50 parent-child pairs aged 7-14. Agreement between most diagnoses was moderate to high between the instruments and with consensus clinical diagnoses. ChIPS was significantly briefer to administer than the K-SADS. Interviewer experience level and participant demographics did not appear to affect agreement. Results provide further evidence for the validity of the ChIPS and support its use in clinical and research settings.

Indexed as

Interview, PsychologicalChildHumansMental DisordersPsychiatric Status Rating ScalesPsychometricsReproducibility of ResultsSyndromeAssessmentPsychometricsStructured diagnostic interviewValidity

Identifiers

PMID27761777
PMCPMC5133172
OpenAlexW2535265629

What OpenQuestion holds

Textmetadata
LicenceTDM
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.