Validity of the revised Diagnostic and Statistical Manual of Mental Disorders-5 cross-cutting symptom measure as implemented in community mental health settings.
Cross-cutting symptom measure
DSM-5
Psychopathology
Reliability
Validity
Journal
Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073
Informations de publication
Date de publication:
01 01 2024
01 01 2024
Historique:
received:
20
02
2023
revised:
18
09
2023
accepted:
09
10
2023
medline:
6
11
2023
pubmed:
17
10
2023
entrez:
16
10
2023
Statut:
ppublish
Résumé
The purpose of this study was to validate the Diagnostic and Statistical Manual of Mental Disorders-5 (DSM-5) Cross-Cutting Symptom Measure (CCSM) as a screening tool for a wide variety of disorders within busy community outpatient mental health settings. Participants (N = 851) were referred for coordinated specialty care services (mean age = 20.26 years (SD = 2.97); 82.5 % Caucasian, 7.5 % African American, 0.7 % Native American, 0.7 % Pacific Islander, 0.8 % Asian, 7.8 % Multiracial; 15.1 % Latinx; 53.1 % female, 45.5 % male, 1.4 % other gender). At optimal cut-score, specificity ranged from 57 to 77 % for depression, anxiety, substance use and psychosis domains; sensitivity ranged from 63 to 72 %. Scores for depression, anxiety, substance use and psychosis domains differed significantly by groups with and without diagnoses. Correlations among domains were larger where expected (r = 0.52, depression-suicidal ideation), and relatively smaller where expected (r = 0.28, suicidal ideation-inattention). Depression, anxiety, substance use and psychosis domains evidenced incremental validity for their respective diagnoses (change in explained variance, 3-15 %). Psychometric features of CCSM were broadly supported. Criterion measures did not have inter-rater reliabilities as this is generally prohibitive in clinic settings. The CCSM could provide a first step in screening for multiple disorders; however, it cannot replace structured interviews for making diagnoses related to these conditions.
Sections du résumé
BACKGROUND
The purpose of this study was to validate the Diagnostic and Statistical Manual of Mental Disorders-5 (DSM-5) Cross-Cutting Symptom Measure (CCSM) as a screening tool for a wide variety of disorders within busy community outpatient mental health settings.
METHOD
Participants (N = 851) were referred for coordinated specialty care services (mean age = 20.26 years (SD = 2.97); 82.5 % Caucasian, 7.5 % African American, 0.7 % Native American, 0.7 % Pacific Islander, 0.8 % Asian, 7.8 % Multiracial; 15.1 % Latinx; 53.1 % female, 45.5 % male, 1.4 % other gender).
RESULTS
At optimal cut-score, specificity ranged from 57 to 77 % for depression, anxiety, substance use and psychosis domains; sensitivity ranged from 63 to 72 %. Scores for depression, anxiety, substance use and psychosis domains differed significantly by groups with and without diagnoses. Correlations among domains were larger where expected (r = 0.52, depression-suicidal ideation), and relatively smaller where expected (r = 0.28, suicidal ideation-inattention). Depression, anxiety, substance use and psychosis domains evidenced incremental validity for their respective diagnoses (change in explained variance, 3-15 %). Psychometric features of CCSM were broadly supported.
LIMITATIONS
Criterion measures did not have inter-rater reliabilities as this is generally prohibitive in clinic settings.
CONCLUSION
The CCSM could provide a first step in screening for multiple disorders; however, it cannot replace structured interviews for making diagnoses related to these conditions.
Identifiants
pubmed: 37844781
pii: S0165-0327(23)01259-4
doi: 10.1016/j.jad.2023.10.077
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
662-673Informations de copyright
Copyright © 2023 Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest None of the authors have a conflict of interest to declare.