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

被引:13
作者
Chung, Kyungmi [1 ,2 ,3 ,4 ]
Jeon, Min-Jeong [1 ,2 ,3 ]
Park, Jaesub [1 ,2 ,3 ,6 ]
Lee, San [1 ,2 ,3 ,7 ]
Kim, Chang Oh [5 ]
Park, Jin Young [1 ,2 ,3 ]
机构
[1] Yonsei Univ Hlth Syst, Gangnam Severance Hosp, Dept Psychiat, Seoul, South Korea
[2] Yonsei Univ, Dept Psychiat, Coll Med, Seoul, South Korea
[3] Yonsei Univ, Inst Behav Sci Med, Coll Med, Seoul, South Korea
[4] Sungkyunkwan Univ, Dept Interact Sci, Seoul, South Korea
[5] Yonsei Univ, Severance Hosp, Dept Internal Med, Div Geriatr,Coll Med, Seoul, South Korea
[6] Natl Hlth Insurance Serv Ilsan Hosp, Dept Psychiat, Goyang Si, South Korea
[7] Yonsei Univ, Severance Hosp, Dept Psychiat, Coll Med, Seoul, South Korea
来源
PLOS ONE | 2018年 / 13卷 / 06期
基金
新加坡国家研究基金会;
关键词
SCALE; VALIDITY; VALIDATION; SEVERITY;
D O I
10.1371/journal.pone.0199118
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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).
引用
收藏
页数:12
相关论文
共 38 条
[1]  
Ahn Y.M., 2005, Journal of Korean Neuropsychiatric Association, V44, P466
[2]  
Ameringen M, 2017, DEPRESS ANXIETY
[3]  
[Anonymous], 2018, HOURS WORK IND
[4]  
[Anonymous], 2010, ANXIETY MOOD
[5]  
[Anonymous], 2013, DIAGNOSTIC STAT MANU
[6]  
[Anonymous], 2001, PSYCHIAT ASSESSMENT
[7]  
[Anonymous], 1976, ECDEU ASSESSMENT MAN
[8]   Development of the Korean version of the Geriatric Depression Scale and its short form among elderly psychiatric patients [J].
Bac, JN ;
Cho, MJ .
JOURNAL OF PSYCHOSOMATIC RESEARCH, 2004, 57 (03) :297-305
[9]   AN INVENTORY FOR MEASURING DEPRESSION [J].
BECK, AT ;
ERBAUGH, J ;
WARD, CH ;
MOCK, J ;
MENDELSOHN, M .
ARCHIVES OF GENERAL PSYCHIATRY, 1961, 4 (06) :561-&
[10]   Depression screening via a smartphone app: cross-country user characteristics and feasibility [J].
BinDhim, Nasser F. ;
Shaman, Ahmed M. ;
Trevena, Lyndal ;
Basyouni, Mada H. ;
Pont, Lisa G. ;
Alhawassi, Tariq M. .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2015, 22 (01) :29-34