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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 scores in a binary fo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6019749/ https://www.ncbi.nlm.nih.gov/pubmed/29944663 http://dx.doi.org/10.1371/journal.pone.0199118 |
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author | Chung, Kyungmi Jeon, Min-Jeong Park, Jaesub Lee, San Kim, Chang Oh Park, Jin Young |
author_facet | Chung, Kyungmi Jeon, Min-Jeong Park, Jaesub Lee, San Kim, Chang Oh Park, Jin Young |
author_sort | Chung, Kyungmi |
collection | PubMed |
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). |
format | Online Article Text |
id | pubmed-6019749 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-60197492018-07-07 Development and evaluation of a mobile-optimized daily self-rating depression screening app: A preliminary study Chung, Kyungmi Jeon, Min-Jeong Park, Jaesub Lee, San Kim, Chang Oh Park, Jin Young PLoS One Research Article 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). Public Library of Science 2018-06-26 /pmc/articles/PMC6019749/ /pubmed/29944663 http://dx.doi.org/10.1371/journal.pone.0199118 Text en © 2018 Chung et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Chung, Kyungmi Jeon, Min-Jeong Park, Jaesub Lee, San Kim, Chang Oh Park, Jin Young Development and evaluation of a mobile-optimized daily self-rating depression screening app: A preliminary study |
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 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6019749/ https://www.ncbi.nlm.nih.gov/pubmed/29944663 http://dx.doi.org/10.1371/journal.pone.0199118 |
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