Cut-Off Value and Validation of Mind-In (Vibraimage) Technology for Depression Screening in Primary Care

Background:The prevalence of depression and depressive symptoms is increasing worldwide, notably in Korea.However, depression is often underdiagnosed and undertreated in primary care settings.This study was intended to determine the cut-off values and validity of Mind-in (Vibraimage) technology for detecting depression among patients visiting the Department of Family Medicine at a hospital in Seoul.Methods: The study' s sample consisted of 100 adults aged 19-79 who visited the Family Medicine Department of a hospital in Seoul between August 1, 2021, and July 31, 2022.Participants completed questionnaires and underwent Mind-in (Vibraimage) treatment.Cut-off values, sensitivity, specificity, the area under the curve with 95% confidence intervals, and diagnostic performance were evaluated using receiver operating characteristic curve analysis, maxstat, and rpart methods.Results: Study participants consisted of 43 male and 57 female.The optimal cut-off value for depressive symptoms was 27.4-28.2for negative mood and 50.0-50.1 for happiness index.For antidepressant medication users, the cut-off values for depressive symptoms were 27.4-32.4 and 46.3-50.6 for the happiness index.The sensitivity and specificity of negative mood were 0.33 and 0.84-0.87,respectively, while for the happiness index, they were 0.89 and 0.33-0.34,respectively.Conclusion: This study identified the cut-off values of Mind-in (Vibraimage) technology for screening depression in primary care settings.Further largescale multicenter studies are needed to validate and refine these values for broader clinical application.

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Publication Details

Journal
Korean Journal of Family Practice
Published
2025-06-17
DOI
https://doi.org/10.21215/kjfp.2025.15.2.96
Primary Topic
Digital Mental Health Interventions
Type
article
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article

Cut-Off Value and Validation of Mind-In (Vibraimage) Technology for Depression Screening in Primary Care

Sanghoon Oh, Wonsock Kim, Youn Huh, Seo Young Kang et al.
Korean Journal of Family Practice
Digital Mental Health Interventions
article

Cut-Off Value and Validation of Mind-In (Vibraimage) Technology for Depression Screening in Primary Care

Sanghoon Oh, Wonsock Kim, Youn Huh, Seo Young Kang, Hae-Rim Kim, Woo-Young Shin, Young Sik Kim
article en

Abstract

Background:The prevalence of depression and depressive symptoms is increasing worldwide, notably in Korea.However, depression is often underdiagnosed and undertreated in primary care settings.This study was intended to determine the cut-off values and validity of Mind-in (Vibraimage) technology for detecting depression among patients visiting the Department of Family Medicine at a hospital in Seoul.Methods: The study' s sample consisted of 100 adults aged 19-79 who visited the Family Medicine Department of a hospital in Seoul between August 1, 2021, and July 31, 2022.Participants completed questionnaires and underwent Mind-in (Vibraimage) treatment.Cut-off values, sensitivity, specificity, the area under the curve with 95% confidence intervals, and diagnostic performance were evaluated using receiver operating characteristic curve analysis, maxstat, and rpart methods.Results: Study participants consisted of 43 male and 57 female.The optimal cut-off value for depressive symptoms was 27.4-28.2for negative mood and 50.0-50.1 for happiness index.For antidepressant medication users, the cut-off values for depressive symptoms were 27.4-32.4 and 46.3-50.6 for the happiness index.The sensitivity and specificity of negative mood were 0.33 and 0.84-0.87,respectively, while for the happiness index, they were 0.89 and 0.33-0.34,respectively.Conclusion: This study identified the cut-off values of Mind-in (Vibraimage) technology for screening depression in primary care settings.Further largescale multicenter studies are needed to validate and refine these values for broader clinical application.

Korean Journal of Family PracticeVol. 15(2)
Ulsan College (KR), University of Seoul (KR), Eulji University (KR), Asan Medical Center (KR), University of Ulsan (KR), Chung-Ang University Hospital (KR)
Openalex Percentile: Top 85%
Digital Mental Health Interventions
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