Validity study of Kessler's psychological distress scales conducted among patients admitted to French emergency department for alcohol consumption-related disorders
Abstract
BACKGROUND: Alcohol-related disorders (ARD) encountered in emergency departments (ED) have a high prevalence and are underestimated. It is necessary to provide professionals with a tool to identify patients in whom there is a risk that alcohol-related and mental health problems may be associated. Kessler's K6/10 psychological distress scales are fast, easy-to-use, and have been shown to achieve a good performance in the identification of psychological distress associated with ARD.
AIM: The aim of this study was to evaluate the psychometric properties of the Kessler scales, version 6 and 10, with a sample of patients admitted to EDs for alcohol consumption.
METHODS: On the day after their admission, with a zero "blood" alcohol concentration, 71 patients were randomly assigned to be assessed using 6 or 10 items version. The internal consistency and factor structure of the K6/10 versions were examined. Convergent validity was measured using the Hospital Anxiety and Depression Scale (HADS) and the Hamilton Depression Rating Scale (HDRS).
RESULTS: The prevalence of psychological distress in our sample was approximately 60%. The selected threshold scores were 10 for K6 (Sensitivity: 0.92; Specificity: 0.62) and 14 for K10 (Sensitivity: 0.95; Specificity: 0.54). The Cronbach coefficients for K6 and K10 were 0.76 and 0.84, respectively. The factor analyses indicated the multidimensional nature of K6/10. The 2 versions, containing 6 and 10 items respectively, correlated better with…
How strong is the evidence?
Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design. Reported size: 71 participants or records.
Read the paper
Related studies
- The Matrisome: In Silico Definition and In Vivo Characterization by Proteomics of Normal and Tumor Extracellular Matrices
- The Escherichia coli MG1655 in silico metabolic genotype: Its definition, characteristics, and capabilities
- In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling
- In silico prediction of splice-altering single nucleotide variants in the human genome
- In silico clinical trials: how computer simulation will transform the biomedical industry
- In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.