Psychometric evaluation of the Clinical Interview for Externalizing Disorders (ILF-EXTERNAL) in an online setting - Results from the consortium project INTEGRATE-ADHD

J Health Monit. 2024 Sep 18;9(3):e12536. doi: 10.25646/12536. eCollection 2024 Sep.

Abstract

Background: The study examines the psychometric properties of the ADHD section of the semi-structured diagnostic interview ILF-EXTERNAL, which was conducted online via video chat.

Methods: As part of the INTEGRATE-ADHD research project, 202 children and adolescents (age M = 12.87 years, SD = 3.04, 28.2 % female) with an administrative diagnosis of ADHD registered with their health insurance company were clinically assessed for the presence of ADHD according to the German ADHD S3 guideline. Using the ILF-EXTERNAL, one parent and, from the age of eight, also the children themselves were interviewed. A proxy rating by a parent was made using the German FBB-ADHS rating scale. In a subsample (n = 65), an independent blind interviewer rated the videorecordings of the ILF-EXTERNAL parent interview to determine the interrater reliability of the ILF-EXTERNAL.

Results: All ADHD symptom scales of the ILF-EXTERNAL showed good to excellent internal consistency (α = 0.89 to 0.93). Interrater reliability was high for both categorical and dimensional analyses (κ = 0.78 and κ = 0.81; ICC(1,1) = 0.97 and 0.98). High correlations of the ILF-EXTERNAL parent interview with the FBB-ADHS (r = 0.79 to r = 0.85) and with the ILF-EXTERNAL child interview (r = 0.60 to r = 0.71) demonstrated convergent validity.

Conclusions: Sound psychometric properties of the ILF-EXTERNAL were also confirmed for its use in an online setting. High interrater reliabilities demonstrate the quality of the ADHD diagnostics carried out in the consortium project INTEGRATE-ADHD.

Keywords: ADHD; Attention-deficit/hyperactivity disorder; Children; ILF-EXTERNAL; adolescents; clinical interview; online diagnostics; psychometric properties; psychometrics; reliability; validity.

Grants and funding

The project ‘INTEGRATE-ADHD’ was funded by the German Innovation Fund of the German Federal Joint Committee (Gemeinsamer Bundesausschuss) under the funding code 01VSF19014.