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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
[Mild behavioral impairment checklist : English-German translation and feasibility study assessing its use in
Pauline Dibbern1, Jennifer Horsch2, Julia Fiegl1
1Zentrum für Altersmedizin der Klinik und Poliklinik für Psychiatrie und Psychotherapie, Universität Regensburg, Regensburg, Deutschland.
Background:
The mild behavioral impairment (MBI) syndrome is defined by the emergence in later life of persistent neuropsychiatric symptoms. The MBI checklist (MBI-C) can be used for systematic detection and documentation of such symptoms.
Objective:
Development of a German version of the MBI‑C and assessment of its application in a clinical setting.
Material And Methods:
The MBI‑C was translated from English into German in collaboration with the main author of the original version, and its practical application was then tested on a study population (n = 21) in a gerontopsychiatric inpatient clinic. Patient compliance, understanding of questions, time effort, evaluation procedure and possible discrepancy between patient and family member evaluations were assessed.
Results:
The German translation of the original MBI‑C obtained certification as an official version and can be downloaded at https://mbitest.org . All 34 questions were fully completed by the study population, the level of understanding of questions was good, with the mean time effort being 16 min. In some cases, significant differences between patients' and family members' responses were found.
Discussion:
The presence of MBI may indicate the development of an otherwise presymptomatic neurodegenerative dementia syndrome. Hence, the MBI‑C could aid in the early detection of neurodegenerative dementia. By means of the translated version of the MBI‑C presented in this study, this hypothesis can now be tested in German-speaking countries.
Insights
The German version of the Mild Behavioral Impairment Checklist (MBI-C) is now available for clinical use. This validated tool aids in the early detection of neurodegenerative dementia by documenting neuropsychiatric symptoms.
Area of Science:
- Geriatric Psychiatry
- Neuropsychology
- Clinical Psychology

