External Validation by Machine Learning and Reduction of the Input Dimensions of the D-PSY Scale for Dimensional Psychopathology
NCT05675215 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 200
Last updated 2023-01-09
Summary
There have been debates about whether psychiatric disorders should be classified according to categories (categorical model) or according to a continuum between normal and pathological functioning (dimensional model). While the former is the main one used to facilitate reliability, it has several limitations. We will use machine learning to develop a predictive model, bridging the gap between the dimensional and categorical approaches. Psychometric measures obtained from a questionnaire will be collected. Then, a supervised descriptor selection approach will be applied to predict categorical outcomes from dimensional inputs. The resulting prediction will be based on nonlinear modeling based on universal approximators. We developed this input questionnaire with four main objectives: 1) to briefly scan most of the categories generally described in the international nosography; 2) to use a continuous scale following a dimensional approach; 3) to use positively oriented sentences to decrease social desirability bias; 4) to be less confronting for the patient.
The questionnaire is built on dimensions, whereas psychiatric diagnoses are built on categories. We will model the transition from one to the other. This approach will allow us to verify the hypotheses of diagnostic categories construction in psychopathology, integrated in the RDoC approach; and later on to standardize the psychometric measures used in cognitive-behavioral therapy treatments.
200 adults will undergo a standard clinical interview (SCID-5, First et al., 2017), and the psychological screening self-report questionnaire (D-Psy) and additional questionnaires measuring social desirability dissociation, phobia and autism.
Conditions
- Psychopathology
Interventions
- DIAGNOSTIC_TEST
-
Psychopathology screening tests
The assessment phase includes the SCID-5 (First et al., 2017), the D-PSY questionnaire and standardized questionnaires. The D-PSY questionnaire and the SCID-5 (First et al., 2017) will be counterbalanced in terms of the order of administration, with half of the participants taking the SCID-5 (First et al., 2017) first and then the D-PSY questionnaire and the others standardized; the other half will take the D-PSY first and then the SCID-5 (First et al., 2017) and the other questionnaires. The other standardised questionnaires will be randomised for order of administration. These standardised questionnaires measure social desirability (Balanced Inventory of Desirable Responding, BIDR, Paulhus, 1985, 1991; in French: Cournoyer \& Sabourin, 1991), dissociation (DIS-Q, Vanderlinden et al., 1993), phobia (the Fear Questionnaire, F.Q., Marks \& Mathews, 1979; in French Cottraux et al., 1987) and autism (AQ, Baron-Cohen et al., 2001; in French, translation by Braun \& Kempenaers, 2007).
Sponsors & Collaborators
-
BPIfrance
collaborator OTHER -
Institut pour la Pratique et l'Innovation en PSYchologie appliquée (Institut Pi-Psy)
lead OTHER
Principal Investigators
-
Aurore Vialatte, PhD · Institut pour la Pratique et l'Innovation en PSYchologie appliquée (Institut Pi-Psy)
Eligibility
- Min Age
- 18 Years
- Max Age
- 55 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2022-10-11
- Primary Completion
- 2023-03-31
- Completion
- 2023-03-31
Countries
- France
Study Locations
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