Behavioral intervention technologies: evidence review and recommendations for future research in mental health.
Behavioral intervention technologies: evidence review and recommendations for future research in mental health.
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DOI：
10.1016/j.genhosppsych.2013.03.008
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发表时间：
2013-07
影响因子：
7
通讯作者：
Klinkman M
中科院分区：
文献类型：
--
作者：
Mohr DC;Burns MN;Schueller SM;Clarke G;Klinkman M
本文报告了由医疗保健研究和质量局和国家精神卫生研究所召集的技术专家小组的调查结果，该小组负责审查心理健康行为干预技术（BIT）的研究状况，并确定最优先的研究重点。BIT是一个综合性术语，用于指使用信息和通信技术功能来解决行为和心理健康结果的行为和心理干预措施。利用视频会议和标准电话技术提供心理治疗的精神卫生双边投资条约已经得到充分验证。基于网络的干预措施在广泛的心理健康结果中显示出有效性，尽管结果差异很大。社交媒体，如在线支持团体，在单独使用时通常会产生令人失望的结果。移动的技术对心理健康结果的关注有限，尽管行为健康的研究结果表明它们很有希望。虚拟现实对焦虑和儿科疾病表现出良好的疗效。严肃的游戏在心理健康方面的工作相对较少。在每一个这些下一步的研究提出了建议。建议开展研究，重点了解可及性、依从性、障碍和成本。由于双边投资条约可以产生大量数据，因此需要改进大数据的收集、存储、分析和可视化。传统的心理和行为理论已被证明不足以理解双边投资条约如何产生行为变化。因此，将需要新的理论模式以及新的评价战略。最后，要使双边投资条约对公共卫生产生影响，就需要对预防的执行和应用进行研究。
This paper reports on the findings of a technical expert panel convened by the Agency for Healthcare Research and Quality and the National Institute of Mental Health, charged with reviewing the state of research on behavioral intervention technologies (BITs) in mental health and identifying the top research priorities. BITs is the comprehensive term used to refer to behavioral and psychological interventions that use information and communication technology features to address behavioral and mental health outcomes. Mental health BITs using videoconferencing and standard telephone technologies to deliver psychotherapy have been wellvalidated. Web-based interventions have shown efficacy across a broad range of mental health outcomes, although outcomes vary widely. Social media such as online support groups have produced generally disappointing outcomes when used alone. Mobile technologies have received limited attention for mental health outcomes, although findings from behavioral health suggest they are promising. Virtual reality has shown good efficacy for anxiety and pediatric disorders. Serious gaming has received relatively little work in mental health. Recommendations for next step research in each of these are made. Research focused on understanding of reach, adherence, barriers and cost is recommended. As BITs can generate large amounts of data, improvements in the collection, storage, analysis, and visualization of big data will be required. Traditional psychological and behavioral theories have proven insufficient to understand how BITs produce behavioral change. Thus new theoretical models, as well as new evaluation strategies, will be required. Finally, for BITs to have a public health impact, research on implementation and application to prevention will be required.
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影响因子：
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