Psychodiagnostic Chart-Child (PDC-C): a valid and clinically sensitive diagnostic tool for patient-tailored intervention planning
- PMID: 35373960
- PMCID: PMC9153754
- DOI: 10.4081/ripppo.2022.591
Psychodiagnostic Chart-Child (PDC-C): a valid and clinically sensitive diagnostic tool for patient-tailored intervention planning
Abstract
The reliable clinical-diagnostic evaluation of child patients is crucial. The present research sought to examine the validity of the Psychodiagnostic Chart-Child (PDC-C) in assessing children's mental functioning and personality organization, according to the framework of the Psychodynamic Diagnostic Manual, Second Edition (PDM-2). A sample of 209 clinicians assessed 209 children (aged 4-11 years) who had been in their care between 2-12 months, using the PDC-C. Each clinician also completed a clinical questionnaire to provide demographic information, the Child Behavior Checklist to evaluate children's behavioral problems and social competences, and the Childhood Personality Assessment Q-Sort measure to assess children's emerging personality patterns. The findings suggest that the PDC-C is a valid diagnostic tool that considers children's full range of functioning. Moreover, the measure has good sensitivity and appears clinically useful in differentiating between certain clinical populations according to psychological characteristics. The PDC-C could promote more accurate assessment during childhood and inform the development of individualized therapies. One of the advantages of the tool is its ability to capture individual variations in child functioning (illuminating strengths and psychological vulnerabilities), even within children in the same diagnostic group. Of note, additional research is needed to establish the utility of PDC-C ratings in predicting clinically relevant constructs and to monitor the processes and outcomes of interventions.
Conflict of interest statement
Conflict of interest: the authors declare no conflict of interest. The funding bodies was not involved in the study design; the collection, analysis, and interpretation of the data; the writing of the manuscript; or the decision to publish the results.
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