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Children’s Depression Screener (ChilD-S): Development and Validation of a Depression Screening Instrument for Children in Pediatric Care

Overview of attention for article published in Child Psychiatry & Human Development, September 2011
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Title
Children’s Depression Screener (ChilD-S): Development and Validation of a Depression Screening Instrument for Children in Pediatric Care
Published in
Child Psychiatry & Human Development, September 2011
DOI 10.1007/s10578-011-0254-1
Pubmed ID
Authors

Barbara Frühe, Antje-Kathrin Allgaier, Kathrin Pietsch, Martina Baethmann, Jochen Peters, Stephan Kellnar, Axel Heep, Stefan Burdach, Dietrich von Schweinitz, Gerd Schulte-Körne

Abstract

The aim of the present study was to develop and validate the Children's Depression Screener (ChilD-S) for use in pediatric care. In two pediatric samples, children aged 9-12 (N(I) = 200; N(II) = 246) completed an explorative item pool (subsample I) and a revised item pool (subsample II). Diagnostic accuracy of each of the 22 items from the revised pool was evaluated in order to select the best items for the brief instrument ChilD-S. Areas under the curve (AUCs) of the revised item pool and the ChilD-S were compared. A diagnostic interview, the Kinder-DIPS, served as gold standard. For the purpose of screening for depressive disorders in children, the eight-item ChilD-S (AUC = 0.97) performed just as well as the revised 22-item pool (AUC = 0.94). For the ChilD-S the optimal cut-off point of ≥11 yielded a sensitivity of 0.91 and a specificity of 0.89. The ChilD-S shows high potential for depression screening of children in pediatric care.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Unknown 74 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 16%
Student > Doctoral Student 8 11%
Researcher 7 9%
Professor 7 9%
Student > Master 6 8%
Other 17 23%
Unknown 18 24%
Readers by discipline Count As %
Psychology 20 27%
Medicine and Dentistry 13 17%
Social Sciences 5 7%
Nursing and Health Professions 5 7%
Computer Science 2 3%
Other 7 9%
Unknown 23 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 June 2012.
All research outputs
#15,234,609
of 22,651,245 outputs
Outputs from Child Psychiatry & Human Development
#568
of 901 outputs
Outputs of similar age
#90,595
of 130,159 outputs
Outputs of similar age from Child Psychiatry & Human Development
#7
of 11 outputs
Altmetric has tracked 22,651,245 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 901 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 130,159 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.