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受影响的他人对赌博危害的反应性:消费者驱动的行为改变技术的国际分类法。

Affected Others Responsivity to Gambling Harm: An International Taxonomy of Consumer-Derived Behaviour Change Techniques.

作者信息

Booth Natalia, Dowling Nicki A, Landon Jason, Lubman Dan I, Merkouris Stephanie S, Rodda Simone N

机构信息

School of Population Health, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

School of Psychology, Deakin University, Geelong, VIC 3220, Australia.

出版信息

J Clin Med. 2021 Feb 4;10(4):583. doi: 10.3390/jcm10040583.

Abstract

Affected others impacted by someone else's gambling utilise numerous behaviour change strategies to minimise gambling-related harm but knowledge on what these strategies are and how they are implemented is limited. This study aimed to develop a comprehensive data-driven taxonomy of the types of self-help strategies used by affected others, and to categorize these into high-level behaviour change techniques (BCTs). Two taxonomies were developed using an inductive and deductive approach which was applied to a dataset of online sources and organised into the Rubicon model of action phases. These taxonomies were family-focused (how to reduce the impact of gambling harm on families) and gambler-focused (how to support the gambler in behaviour change). In total, 329 online sources containing 3536 different strategies were identified. The family-focused classification contained 16 BCTs, and the most frequent were professional support, financial management and planned consequences. The gambler-focused classification contained 11 BCTs, and the most frequent were feedback on behaviours, professional support and financial management. The majority of family- and gambler-focused BCTs fell under the actional phase of the Rubicon model. Grounded in lived experience, the findings highlight the need for intervention and resource development that includes a wide range of specific techniques that affected others can utilise.

摘要

受他人赌博影响的人会运用多种行为改变策略来尽量减少与赌博相关的危害,但对于这些策略是什么以及如何实施的了解却很有限。本研究旨在开发一种全面的数据驱动分类法,对受影响者使用的自助策略类型进行分类,并将其归类为高层次的行为改变技术(BCTs)。使用归纳和演绎方法开发了两种分类法,并将其应用于在线资源数据集,按照行动阶段的卢比孔模型进行组织。这些分类法分别以家庭为重点(如何减少赌博危害对家庭的影响)和以赌徒为重点(如何支持赌徒改变行为)。总共识别出329个包含3536种不同策略的在线资源。以家庭为重点的分类包含16种行为改变技术,最常见的是专业支持、财务管理和计划后果。以赌徒为重点的分类包含11种行为改变技术,最常见的是行为反馈、专业支持和财务管理。大多数以家庭和赌徒为重点的行为改变技术都属于卢比孔模型的行动阶段。基于实际生活经验,研究结果凸显了进行干预和资源开发的必要性,其中应包括受影响者可以利用的广泛具体技术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14b2/7913932/2876c9f4cc3f/jcm-10-00583-g001.jpg

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