Enhancing the quality and utility of content analyses for addictive disorders

The advances in Mobile Health (M-health) technologies has led to an increase in the numbers of alcohol and drugs applications on the commercial stores. Content analyses and reviews of applications to date have demonstrated that most of these applications are for entertainment or information purposes...

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Main Authors: Smith, Helen, Fung, Daniel S. S., Zhang, Melvyn, Wing, Tracey
Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
Format: Article
Language:English
Published: 2018
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Online Access:https://hdl.handle.net/10356/87759
http://hdl.handle.net/10220/45537
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-877592020-11-01T05:22:28Z Enhancing the quality and utility of content analyses for addictive disorders Smith, Helen Fung, Daniel S. S. Zhang, Melvyn Wing, Tracey Lee Kong Chian School of Medicine (LKCMedicine) M-health Content Analysis The advances in Mobile Health (M-health) technologies has led to an increase in the numbers of alcohol and drugs applications on the commercial stores. Content analyses and reviews of applications to date have demonstrated that most of these applications are for entertainment or information purposes. More recent content analyses have identified common behavioural change techniques in substance applications. Nevertheless, there remain several limitations of existing content analyses and reviews of applications. There is an increasing prevalence of other substance-related disorders, such as that of stimulants and opioids, but the existing content analyses are limited to an analysis of alcohol and cannabis applications. Only two of the content analyses performed to date have attempted to identify applications that have their basis on a theoretical approach, based on the identification of behavioural change techniques or motivational techniques. There is a need to identify applications on the commercial stores that replicate conventional psychological interventions, or at least provide elements of conventional psychological interventions using behavioural change techniques that are integrated into the application. Further evaluative research could be done on these applications to determine if they are efficacious before using them for patient care. To address the limitation that existing content analyses have only focused on reviews of alcohol and cannabis applications, we propose for there to be updated content analyses for alcohol and cannabis, and new content analyses for other substances of abuse (such as opioids and stimulants). We like to suggest that future reviews consider keywords such as abstinence or recovery, and ones that relate to psychological therapies, such as self-determination or attention bias retraining, as commercial applications that have an underlying psychological basis might be categorised differently, under different keyword terms. We have evidence of how a better search strategy identifies previously unrecognised applications for attentional bias modification. NMRC (Natl Medical Research Council, S’pore) Published version 2018-08-08T02:21:09Z 2019-12-06T16:48:52Z 2018-08-08T02:21:09Z 2019-12-06T16:48:52Z 2018 Journal Article Zhang, M., Wing, T., Fung, D. S. S., & Smith, H. (2018). Enhancing the Quality and Utility of Content Analyses for Addictive Disorders. International Journal of Environmental Research and Public Health, 15(7), 1389-. 1661-7827 https://hdl.handle.net/10356/87759 http://hdl.handle.net/10220/45537 10.3390/ijerph15071389 en International Journal of Environmental Research and Public Health © 2018 by The Author(s). Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). 6 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic M-health
Content Analysis
spellingShingle M-health
Content Analysis
Smith, Helen
Fung, Daniel S. S.
Zhang, Melvyn
Wing, Tracey
Enhancing the quality and utility of content analyses for addictive disorders
description The advances in Mobile Health (M-health) technologies has led to an increase in the numbers of alcohol and drugs applications on the commercial stores. Content analyses and reviews of applications to date have demonstrated that most of these applications are for entertainment or information purposes. More recent content analyses have identified common behavioural change techniques in substance applications. Nevertheless, there remain several limitations of existing content analyses and reviews of applications. There is an increasing prevalence of other substance-related disorders, such as that of stimulants and opioids, but the existing content analyses are limited to an analysis of alcohol and cannabis applications. Only two of the content analyses performed to date have attempted to identify applications that have their basis on a theoretical approach, based on the identification of behavioural change techniques or motivational techniques. There is a need to identify applications on the commercial stores that replicate conventional psychological interventions, or at least provide elements of conventional psychological interventions using behavioural change techniques that are integrated into the application. Further evaluative research could be done on these applications to determine if they are efficacious before using them for patient care. To address the limitation that existing content analyses have only focused on reviews of alcohol and cannabis applications, we propose for there to be updated content analyses for alcohol and cannabis, and new content analyses for other substances of abuse (such as opioids and stimulants). We like to suggest that future reviews consider keywords such as abstinence or recovery, and ones that relate to psychological therapies, such as self-determination or attention bias retraining, as commercial applications that have an underlying psychological basis might be categorised differently, under different keyword terms. We have evidence of how a better search strategy identifies previously unrecognised applications for attentional bias modification.
author2 Lee Kong Chian School of Medicine (LKCMedicine)
author_facet Lee Kong Chian School of Medicine (LKCMedicine)
Smith, Helen
Fung, Daniel S. S.
Zhang, Melvyn
Wing, Tracey
format Article
author Smith, Helen
Fung, Daniel S. S.
Zhang, Melvyn
Wing, Tracey
author_sort Smith, Helen
title Enhancing the quality and utility of content analyses for addictive disorders
title_short Enhancing the quality and utility of content analyses for addictive disorders
title_full Enhancing the quality and utility of content analyses for addictive disorders
title_fullStr Enhancing the quality and utility of content analyses for addictive disorders
title_full_unstemmed Enhancing the quality and utility of content analyses for addictive disorders
title_sort enhancing the quality and utility of content analyses for addictive disorders
publishDate 2018
url https://hdl.handle.net/10356/87759
http://hdl.handle.net/10220/45537
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