Title |
Children’s Depression Screener (ChilD-S): Development and Validation of a Depression Screening Instrument for Children in Pediatric Care
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Published in |
Child Psychiatry & Human Development, September 2011
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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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 1% |
Unknown | 73 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 16% |
Researcher | 7 | 9% |
Student > Doctoral Student | 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 | 18% |
Nursing and Health Professions | 5 | 7% |
Social Sciences | 5 | 7% |
Computer Science | 2 | 3% |
Other | 6 | 8% |
Unknown | 23 | 31% |