Cargando…

Attention and Cognitive Bias Modification Apps: Review of the Literature and of Commercially Available Apps

BACKGROUND: Automatic processes, such as attentional biases or interpretative biases, have been purported to be responsible for several psychiatric disorders. Recent reviews have highlighted that cognitive biases may be modifiable. Advances in eHealth and mHealth have been harnessed for the delivery...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Melvyn, Ying, JiangBo, Song, Guo, Fung, Daniel SS, Smith, Helen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5992457/
https://www.ncbi.nlm.nih.gov/pubmed/29793899
http://dx.doi.org/10.2196/10034
_version_ 1783330037478457344
author Zhang, Melvyn
Ying, JiangBo
Song, Guo
Fung, Daniel SS
Smith, Helen
author_facet Zhang, Melvyn
Ying, JiangBo
Song, Guo
Fung, Daniel SS
Smith, Helen
author_sort Zhang, Melvyn
collection PubMed
description BACKGROUND: Automatic processes, such as attentional biases or interpretative biases, have been purported to be responsible for several psychiatric disorders. Recent reviews have highlighted that cognitive biases may be modifiable. Advances in eHealth and mHealth have been harnessed for the delivery of cognitive bias modification. While several studies have evaluated mHealth-based bias modification intervention, no review, to our knowledge, has synthesized the evidence for it. In addition, no review has looked at commercial apps and their functionalities and methods of bias modification. A review is essential in determining whether scientifically validated apps are available commercially and the proportion of commercial apps that have been evaluated scientifically. OBJECTIVE: The objective of this review was primarily to determine the proportion of attention or cognitive bias modification apps that have been evaluated scientifically and secondarily to determine whether the scientifically evaluated apps were commercially available. We also sought to identify commercially available bias modification apps and determine the functionalities of these apps, the methods used for attention or cognitive bias modification, and whether these apps had been evaluated scientifically. METHODS: To identify apps in the published literature, we searched PubMed, MEDLINE, PsycINFO, and Scopus for studies published from 2000 to April 17, 2018. The search terms used were “attention bias” OR “cognitive bias” AND “smartphone” OR “smartphone application” OR “smartphone app” OR “mobile phones” OR “mobile application” OR mobile app” OR “personal digital assistant.” To identify commercial apps, we conducted a manual cross-sectional search between September 15 and 25, 2017 in the Apple iTunes and Google Play app stores. The search terms used to identify the apps were “attention bias” and “cognitive bias.” We also conducted a manual search on the apps with published evaluations. RESULTS: The effectiveness of bias modification was reported in 7 of 8 trials that we identified in the published literature. Only 1 of the 8 previously evaluated apps was commercially available. The 17 commercial apps we identified tended to use either an attention visual search or gamified task. Only 1 commercial app had been evaluated in the published literature. CONCLUSIONS: This is perhaps the first review to synthesize the evidence for published mHealth attention bias apps. Our review demonstrated that evidence for mHealth attention bias apps is inconclusive, and quite a few commercial apps have not been validated scientifically.
format Online
Article
Text
id pubmed-5992457
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-59924572018-06-11 Attention and Cognitive Bias Modification Apps: Review of the Literature and of Commercially Available Apps Zhang, Melvyn Ying, JiangBo Song, Guo Fung, Daniel SS Smith, Helen JMIR Mhealth Uhealth Review BACKGROUND: Automatic processes, such as attentional biases or interpretative biases, have been purported to be responsible for several psychiatric disorders. Recent reviews have highlighted that cognitive biases may be modifiable. Advances in eHealth and mHealth have been harnessed for the delivery of cognitive bias modification. While several studies have evaluated mHealth-based bias modification intervention, no review, to our knowledge, has synthesized the evidence for it. In addition, no review has looked at commercial apps and their functionalities and methods of bias modification. A review is essential in determining whether scientifically validated apps are available commercially and the proportion of commercial apps that have been evaluated scientifically. OBJECTIVE: The objective of this review was primarily to determine the proportion of attention or cognitive bias modification apps that have been evaluated scientifically and secondarily to determine whether the scientifically evaluated apps were commercially available. We also sought to identify commercially available bias modification apps and determine the functionalities of these apps, the methods used for attention or cognitive bias modification, and whether these apps had been evaluated scientifically. METHODS: To identify apps in the published literature, we searched PubMed, MEDLINE, PsycINFO, and Scopus for studies published from 2000 to April 17, 2018. The search terms used were “attention bias” OR “cognitive bias” AND “smartphone” OR “smartphone application” OR “smartphone app” OR “mobile phones” OR “mobile application” OR mobile app” OR “personal digital assistant.” To identify commercial apps, we conducted a manual cross-sectional search between September 15 and 25, 2017 in the Apple iTunes and Google Play app stores. The search terms used to identify the apps were “attention bias” and “cognitive bias.” We also conducted a manual search on the apps with published evaluations. RESULTS: The effectiveness of bias modification was reported in 7 of 8 trials that we identified in the published literature. Only 1 of the 8 previously evaluated apps was commercially available. The 17 commercial apps we identified tended to use either an attention visual search or gamified task. Only 1 commercial app had been evaluated in the published literature. CONCLUSIONS: This is perhaps the first review to synthesize the evidence for published mHealth attention bias apps. Our review demonstrated that evidence for mHealth attention bias apps is inconclusive, and quite a few commercial apps have not been validated scientifically. JMIR Publications 2018-05-24 /pmc/articles/PMC5992457/ /pubmed/29793899 http://dx.doi.org/10.2196/10034 Text en ©Melvyn Zhang, JiangBo Ying, Guo Song, Daniel SS Fung, Helen Smith. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 24.05.2018. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Review
Zhang, Melvyn
Ying, JiangBo
Song, Guo
Fung, Daniel SS
Smith, Helen
Attention and Cognitive Bias Modification Apps: Review of the Literature and of Commercially Available Apps
title Attention and Cognitive Bias Modification Apps: Review of the Literature and of Commercially Available Apps
title_full Attention and Cognitive Bias Modification Apps: Review of the Literature and of Commercially Available Apps
title_fullStr Attention and Cognitive Bias Modification Apps: Review of the Literature and of Commercially Available Apps
title_full_unstemmed Attention and Cognitive Bias Modification Apps: Review of the Literature and of Commercially Available Apps
title_short Attention and Cognitive Bias Modification Apps: Review of the Literature and of Commercially Available Apps
title_sort attention and cognitive bias modification apps: review of the literature and of commercially available apps
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5992457/
https://www.ncbi.nlm.nih.gov/pubmed/29793899
http://dx.doi.org/10.2196/10034
work_keys_str_mv AT zhangmelvyn attentionandcognitivebiasmodificationappsreviewoftheliteratureandofcommerciallyavailableapps
AT yingjiangbo attentionandcognitivebiasmodificationappsreviewoftheliteratureandofcommerciallyavailableapps
AT songguo attentionandcognitivebiasmodificationappsreviewoftheliteratureandofcommerciallyavailableapps
AT fungdanielss attentionandcognitivebiasmodificationappsreviewoftheliteratureandofcommerciallyavailableapps
AT smithhelen attentionandcognitivebiasmodificationappsreviewoftheliteratureandofcommerciallyavailableapps