Development and evaluation of a mobile-optimized daily self-rating depression screening app: A preliminary study.

The aims of this study were to design a mobile app that would record daily self-reported Korean version of the Center for Epidemiologic Studies Depression Scale-Revised (K-CESD-R) ratings in a "Yes" or "No" format, develop two different algorithms for converting mobile K-CESD-R s...

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Main Authors: Kyungmi Chung, Min-Jeong Jeon, Jaesub Park, San Lee, Chang Oh Kim, Jin Young Park
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0199118&type=printable
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author Kyungmi Chung
Min-Jeong Jeon
Jaesub Park
San Lee
Chang Oh Kim
Jin Young Park
author_facet Kyungmi Chung
Min-Jeong Jeon
Jaesub Park
San Lee
Chang Oh Kim
Jin Young Park
author_sort Kyungmi Chung
collection DOAJ
description The aims of this study were to design a mobile app that would record daily self-reported Korean version of the Center for Epidemiologic Studies Depression Scale-Revised (K-CESD-R) ratings in a "Yes" or "No" format, develop two different algorithms for converting mobile K-CESD-R scores in a binary format into scores in a 5-point response format, and determine which algorithm would be more appropriately applied to the newly developed app. Algorithm (A) was designed to improve the scoring system of the 2-week delayed retrospective recall-based original K-CESD-R scale, and algorithm (B) was designed to further refine the scoring of the 24-hour delayed prospective recall-based mobile K-CESD-R scale applied with algorithm (A). To calculate total mobile K-CESD-R scores, each algorithm applied certain cut-off criteria for a 5-point scale with different inter-point intervals, defined by the ratio of the total number of times that users responded "Yes" to each item to the number of days that users reported daily depressive symptom ratings during the 2-week study period. Twenty participants were asked to complete a K-CESD-R Mobile assessment daily for 2 weeks and an original K-CESD-R assessment delivered to their e-mail accounts at the end of the 2-week study period. There was a significant difference between original and mobile algorithm (B) scores but not between original and mobile algorithm (A) scores. Of the 20 participants, 4 scored at or above the cut-off criterion (≥13) on either the original K-CESD-R (n = 4) or the mobile K-CESD-R converted with algorithm (A) (n = 3) or algorithm (B) (n = 1). However, all participants were assessed as being below threshold for a diagnosis of a mental disorder during a clinician-administered diagnostic interview. Therefore, the K-CESD-R Mobile app using algorithm (B) could be a more potential candidate for a depression screening tool than the K-CESD-R Mobile app using algorithm (A).
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spelling doaj-art-58f32898e73544c8a66c16bed1e616452025-08-20T03:04:35ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01136e019911810.1371/journal.pone.0199118Development and evaluation of a mobile-optimized daily self-rating depression screening app: A preliminary study.Kyungmi ChungMin-Jeong JeonJaesub ParkSan LeeChang Oh KimJin Young ParkThe aims of this study were to design a mobile app that would record daily self-reported Korean version of the Center for Epidemiologic Studies Depression Scale-Revised (K-CESD-R) ratings in a "Yes" or "No" format, develop two different algorithms for converting mobile K-CESD-R scores in a binary format into scores in a 5-point response format, and determine which algorithm would be more appropriately applied to the newly developed app. Algorithm (A) was designed to improve the scoring system of the 2-week delayed retrospective recall-based original K-CESD-R scale, and algorithm (B) was designed to further refine the scoring of the 24-hour delayed prospective recall-based mobile K-CESD-R scale applied with algorithm (A). To calculate total mobile K-CESD-R scores, each algorithm applied certain cut-off criteria for a 5-point scale with different inter-point intervals, defined by the ratio of the total number of times that users responded "Yes" to each item to the number of days that users reported daily depressive symptom ratings during the 2-week study period. Twenty participants were asked to complete a K-CESD-R Mobile assessment daily for 2 weeks and an original K-CESD-R assessment delivered to their e-mail accounts at the end of the 2-week study period. There was a significant difference between original and mobile algorithm (B) scores but not between original and mobile algorithm (A) scores. Of the 20 participants, 4 scored at or above the cut-off criterion (≥13) on either the original K-CESD-R (n = 4) or the mobile K-CESD-R converted with algorithm (A) (n = 3) or algorithm (B) (n = 1). However, all participants were assessed as being below threshold for a diagnosis of a mental disorder during a clinician-administered diagnostic interview. Therefore, the K-CESD-R Mobile app using algorithm (B) could be a more potential candidate for a depression screening tool than the K-CESD-R Mobile app using algorithm (A).https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0199118&type=printable
spellingShingle Kyungmi Chung
Min-Jeong Jeon
Jaesub Park
San Lee
Chang Oh Kim
Jin Young Park
Development and evaluation of a mobile-optimized daily self-rating depression screening app: A preliminary study.
PLoS ONE
title Development and evaluation of a mobile-optimized daily self-rating depression screening app: A preliminary study.
title_full Development and evaluation of a mobile-optimized daily self-rating depression screening app: A preliminary study.
title_fullStr Development and evaluation of a mobile-optimized daily self-rating depression screening app: A preliminary study.
title_full_unstemmed Development and evaluation of a mobile-optimized daily self-rating depression screening app: A preliminary study.
title_short Development and evaluation of a mobile-optimized daily self-rating depression screening app: A preliminary study.
title_sort development and evaluation of a mobile optimized daily self rating depression screening app a preliminary study
url https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0199118&type=printable
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