A smartphone attention bias app for individuals with addictive disorders : feasibility and acceptability study
Background: Conventional psychology therapies are unable to address automatic biases that result in individuals relapsing into their substance use disorder. Advances in experimental psychology have led to a better understanding of attention and approach biases and methods to modify these biases. Sev...
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Science::Medicine Attention Bias Cognitive Bias Zhang, Melvyn Ying, Jiangbo Amron, Syidda B. Mahreen, Zaakira Song, Guo Fung, Daniel Shuen Sheng Smith, Helen Elizabeth A smartphone attention bias app for individuals with addictive disorders : feasibility and acceptability study |
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Background: Conventional psychology therapies are unable to address automatic biases that result in individuals relapsing into their substance use disorder. Advances in experimental psychology have led to a better understanding of attention and approach biases and methods to modify these biases. Several studies have demonstrated the effectiveness of bias modification among clinical cohorts. The advances in mobile health technologies have allowed remote delivery of these interventions. To date, there is a lack of studies examining bias modification in a substance-using non-Western sample. Objective: This study was designed to determine the feasibility of an attention bias modification intervention and an attention bias modification smartphone app for the reduction of attention biases among treatment-seeking individuals. The secondary aim is to determine the acceptability of the intervention. Methods: A feasibility study was conducted among inpatients who were in their rehabilitation phase at the National Addictions Management Service. Participants were to complete a set of baseline questionnaires, and on each day that they are in the study, undertake an attention bias assessment and modification task while completing a visual analogue scale to assess their craving. Feasibility was determined by the acceptance rate of participation and participants’ adherence to the interventions. Acceptability was assessed by a perception questionnaire. Descriptive statistical analyses were performed using SPSS version 22. A thematic analysis approach was used in the qualitative synthesis of users’ perceptions. Results: Of the 40 participants invited to participate in the feasibility study, 10 declined, yielding an acceptance rate of 75%. Of the recruited participants, 6 participants were diagnosed with alcohol dependence; 17, with opioid dependence; 2, with cannabis dependence; and 5, with stimulant dependence. In addition, of the final 30 participants, 11 (37%) failed to complete all the planned interventions and 22 (73%) completed the perspective questionnaires; of these 22 participants, 100% rated the app as extremely and very easy, 77% rated it as extremely or very interactive, 54% rated it as extremely or very motivating, and 33% reported a change in their confidence levels. Conclusions: Our results highlight the feasibility of recruiting participants to undertake attention bias modification interventions. Participants generally accept use of a mobile version of such an intervention. Nevertheless, our acceptability data indicate that there could be improvements in the existing app, and a participatory design approach might be helpful in its future conceptualization. |
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Lee Kong Chian School of Medicine (LKCMedicine) |
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Lee Kong Chian School of Medicine (LKCMedicine) Zhang, Melvyn Ying, Jiangbo Amron, Syidda B. Mahreen, Zaakira Song, Guo Fung, Daniel Shuen Sheng Smith, Helen Elizabeth |
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Article |
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Zhang, Melvyn Ying, Jiangbo Amron, Syidda B. Mahreen, Zaakira Song, Guo Fung, Daniel Shuen Sheng Smith, Helen Elizabeth |
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Zhang, Melvyn |
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A smartphone attention bias app for individuals with addictive disorders : feasibility and acceptability study |
title_short |
A smartphone attention bias app for individuals with addictive disorders : feasibility and acceptability study |
title_full |
A smartphone attention bias app for individuals with addictive disorders : feasibility and acceptability study |
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A smartphone attention bias app for individuals with addictive disorders : feasibility and acceptability study |
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A smartphone attention bias app for individuals with addictive disorders : feasibility and acceptability study |
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smartphone attention bias app for individuals with addictive disorders : feasibility and acceptability study |
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2020 |
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https://hdl.handle.net/10356/142162 |
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sg-ntu-dr.10356-1421622020-11-01T05:16:09Z A smartphone attention bias app for individuals with addictive disorders : feasibility and acceptability study Zhang, Melvyn Ying, Jiangbo Amron, Syidda B. Mahreen, Zaakira Song, Guo Fung, Daniel Shuen Sheng Smith, Helen Elizabeth Lee Kong Chian School of Medicine (LKCMedicine) Family Medicine and Primary Care Science::Medicine Attention Bias Cognitive Bias Background: Conventional psychology therapies are unable to address automatic biases that result in individuals relapsing into their substance use disorder. Advances in experimental psychology have led to a better understanding of attention and approach biases and methods to modify these biases. Several studies have demonstrated the effectiveness of bias modification among clinical cohorts. The advances in mobile health technologies have allowed remote delivery of these interventions. To date, there is a lack of studies examining bias modification in a substance-using non-Western sample. Objective: This study was designed to determine the feasibility of an attention bias modification intervention and an attention bias modification smartphone app for the reduction of attention biases among treatment-seeking individuals. The secondary aim is to determine the acceptability of the intervention. Methods: A feasibility study was conducted among inpatients who were in their rehabilitation phase at the National Addictions Management Service. Participants were to complete a set of baseline questionnaires, and on each day that they are in the study, undertake an attention bias assessment and modification task while completing a visual analogue scale to assess their craving. Feasibility was determined by the acceptance rate of participation and participants’ adherence to the interventions. Acceptability was assessed by a perception questionnaire. Descriptive statistical analyses were performed using SPSS version 22. A thematic analysis approach was used in the qualitative synthesis of users’ perceptions. Results: Of the 40 participants invited to participate in the feasibility study, 10 declined, yielding an acceptance rate of 75%. Of the recruited participants, 6 participants were diagnosed with alcohol dependence; 17, with opioid dependence; 2, with cannabis dependence; and 5, with stimulant dependence. In addition, of the final 30 participants, 11 (37%) failed to complete all the planned interventions and 22 (73%) completed the perspective questionnaires; of these 22 participants, 100% rated the app as extremely and very easy, 77% rated it as extremely or very interactive, 54% rated it as extremely or very motivating, and 33% reported a change in their confidence levels. Conclusions: Our results highlight the feasibility of recruiting participants to undertake attention bias modification interventions. Participants generally accept use of a mobile version of such an intervention. Nevertheless, our acceptability data indicate that there could be improvements in the existing app, and a participatory design approach might be helpful in its future conceptualization. NMRC (Natl Medical Research Council, S’pore) Published version 2020-06-16T08:52:39Z 2020-06-16T08:52:39Z 2019 Journal Article Zhang, M., Ying, J., Amron, S. B., Mahreen, Z., Song, G., Fung, D. S. S., & Smith, H. E. (2019). A smartphone attention bias app for individuals with addictive disorders : feasibility and acceptability study. JMIR mHealth and uHealth, 7(9), e15465-. doi:10.2196/15465 2291-5222 https://hdl.handle.net/10356/142162 10.2196/15465 31586359 2-s2.0-85072634041 9 7 en JMIR mHealth and uHealth © 2019 Melvyn Zhang, Jiangbo Ying, Syidda B Amron, Zaakira Mahreen, Guo Song, Daniel SS Fung, Helen Elizabeth Smith. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org). 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. application/pdf |