Literature DB >> 27969071

Smartphone-based ecological momentary assessment for Chinese patients with depression: An exploratory study in Taiwan.

Shan Hung1, Min-Shan Li1, Yen-Lin Chen2, Jung-Hsien Chiang2, Ying-Yeh Chen3, Galen Chin-Lun Hung4.   

Abstract

Mobile mental health has a potential to improve the recognition and management of Chinese patients with depression. Currently, evidence regarding ecological momentary assessment (EMA) for depressive disorder mostly originates from Western studies. Herein, we examined the validity of smartphone-based EMA for depression in Chinese patients and explored the determinants of use. A smartphone application, iHOPE, was used to perform daily EMA of depression, anxiety, sleep and cognitive performance. Outpatients with depressive disorder were recruited to use iHOPE for 8 weeks. Clinical characteristics and smartphone use patterns were assessed at baseline. We enrolled 59 Chinese patients with depression. In 8 weeks, participants interacted with iHOPE for an average of 10.8 (SD=12.3) days; a trend of decreased frequency of use (p=0.03) was observed. Scores of HAM-D at baseline was associated with, of the first 2 weeks, scores of PHQ-9 (p=0.005), EMA of depression (p=0.003) and anxiety (p<0.001), and poorer sleep quality (p=0.023). Among the demographic, clinical and smartphone-use variables examined, only limited internet package for smartphone (<500M per month) predicted higher use of iHOPE (p=0.04). The present study provides initial evidence for the feasibility of smartphone-based EMA in Chinese patients with depression. Level of engagement needs to be improved before determining its clinical usefulness.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Depression; Ecological momentary assessment; Experience sampling; Mobile health

Mesh:

Year:  2016        PMID: 27969071     DOI: 10.1016/j.ajp.2016.08.003

Source DB:  PubMed          Journal:  Asian J Psychiatr        ISSN: 1876-2018


  13 in total

1.  Ecological Momentary Assessment and Mood Disorders in Children and Adolescents: a Systematic Review.

Authors:  Itziar Baltasar-Tello; Carolina Miguélez-Fernández; Inmaculada Peñuelas-Calvo; Juan J Carballo
Journal:  Curr Psychiatry Rep       Date:  2018-08-01       Impact factor: 5.285

2.  User Engagement in Mental Health Apps: A Review of Measurement, Reporting, and Validity.

Authors:  Michelle M Ng; Joseph Firth; Mia Minen; John Torous
Journal:  Psychiatr Serv       Date:  2019-03-27       Impact factor: 3.084

Review 3.  A systematic review of engagement reporting in remote measurement studies for health symptom tracking.

Authors:  Katie M White; Charlotte Williamson; Nicol Bergou; Carolin Oetzmann; Valeria de Angel; Faith Matcham; Claire Henderson; Matthew Hotopf
Journal:  NPJ Digit Med       Date:  2022-06-29

4.  An iPad application-based intervention for improving post-stroke depression symptoms in a convalescent rehabilitation ward: A pilot randomized controlled clinical trial protocol.

Authors:  Hiroyuki Uchida; Yoshiya Hiragaki; Yuta Nishi; Shiori Nakahara; Junki Koumoto; Yusuke Onmyoji; Norimasa Fujimoto; Kazuho Kawakami; Masato Ishii; Kazuki Hirao
Journal:  Internet Interv       Date:  2020-08-27

Review 5.  Engagement with mobile health interventions for depression: A systematic review.

Authors:  Anthony Molloy; Page L Anderson
Journal:  Internet Interv       Date:  2021-09-11

6.  Validation of an ecological momentary assessment to measure processing speed and executive function in schizophrenia.

Authors:  Cecelia Shvetz; Feng Gu; Jessica Drodge; John Torous; Synthia Guimond
Journal:  NPJ Schizophr       Date:  2021-12-21

7.  Digital assessment of working memory and processing speed in everyday life: Feasibility, validation, and lessons-learned.

Authors:  N E M Daniëls; S L Bartels; S J W Verhagen; R J M Van Knippenberg; M E De Vugt; Ph A E G Delespaul
Journal:  Internet Interv       Date:  2019-12-30

8.  Measuring within-day cognitive performance using the experience sampling method: A pilot study in a healthy population.

Authors:  Simone J W Verhagen; Naomi E M Daniëls; Sara Laureen Bartels; Sulina Tans; Karel W H Borkelmans; Marjolein E de Vugt; Philippe A E G Delespaul
Journal:  PLoS One       Date:  2019-12-12       Impact factor: 3.240

9.  STDD: Short-Term Depression Detection with Passive Sensing.

Authors:  Nematjon Narziev; Hwarang Goh; Kobiljon Toshnazarov; Seung Ah Lee; Kyong-Mee Chung; Youngtae Noh
Journal:  Sensors (Basel)       Date:  2020-03-04       Impact factor: 3.576

Review 10.  Characteristics of Mobile Health Platforms for Depression and Anxiety: Content Analysis Through a Systematic Review of the Literature and Systematic Search of Two App Stores.

Authors:  Alexandria Remus; Dean Ho; Qiao Ying Leong; Shreya Sridhar; Agata Blasiak; Xavier Tadeo; GeckHong Yeo
Journal:  J Med Internet Res       Date:  2022-02-04       Impact factor: 5.428

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.