Evidence map›Paper›PMID 38245769›Full record

ArticleChild and adolescent psychiatry and mental health2024

Evaluating the development and well-being assessment (DAWBA) in pediatric anxiety and depression.

Paia Amelio, Chase Antonacci, Parmis Khosravi, Simone Haller, Katharina Kircanski, Erin Berman, Lisa Cullins, Krystal Lewis, Mollie Davis, Chana Engel and 3 more

Open access · goldAbstract read
In one paragraph

Article in Child and adolescent psychiatry and mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Trial
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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

13 authors at 2 institutions in 4 countries.

Paia Amelio *Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0002-6079-1129
Chase Antonacci *Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0002-9890-2197
Parmis KhosraviEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA. parmis.khosravi@nih.gov.ORCID http://orcid.org/0000-0001-6549-2905
Simone HallerEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
Katharina KircanskiEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
Erin BermanEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
Lisa CullinsEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
Krystal LewisEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
Mollie DavisEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
Chana EngelEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
Kenneth TowbinEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
Argyris StringarisDivisions of Psychiatry and Psychology and Language Science, University College London, London, UK.
Daniel S PineEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
National Institutes of Health · USNational and Kapodistrian University of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enhancing screening practices and developing scalable diagnostic tools are imperative in response to the increasing prevalence of youth mental health challenges. Structured lay psychiatric interviews have emerged as one such promising tool. However, there remains limited research evaluating structured psychiatric interviews, specifically their characterization of internalizing disorders in treatment-seeking youth. This study evaluates the relationship between the Development and Well-Being Assessment (DAWBA), a structured psychiatric interview, and established measures of pediatric anxiety and depression, including the Screen for Child Anxiety Related Disorders (SCARED), the Pediatric Anxiety Rating Scale (PARS), and the Mood and Feelings Questionnaire (MFQ). The study comprised two independent clinical samples of treatment-seeking youth: sample one included 55 youth with anxiety and 29 healthy volunteers (HV), while sample two included 127 youth with Major Depressive Disorder and 73 HVs. We examined the association between the DAWBA band scores, indicating predicted risk for diagnosis, the SCARED and PARS (sample one), and the MFQ (sample two). An exploratory analysis was conducted in a subset of participants to test whether DAWBA band scores predicted the change in anxiety symptoms (SCARED, PARS) across a 12-week course of cognitive behavioral therapy. The results revealed that the DAWBA significantly predicted the SCARED, PARS and MFQ measures at baseline; however, it did not predict changes in anxiety symptoms across treatment. These findings suggest that the DAWBA may be a helpful screening tool for indexing anxiety and depression in treatment-seeking youth but is not especially predictive of longitudinal trajectories in symptomatology across psychotherapy.

Indexed as

AnxietyCognitive behavioral therapyDAWBADepressionInternalizingPsychiatric interview

Identifiers

PMID38245769
PMCPMC10800067
OpenAlexW4391057598

What OpenQuestion holds

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LicenceCC BY
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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.