利用智能技术改善青少年的获取和心理健康

IF 2.1 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Cheryl Forchuk, Sandra Fisman, Jeffrey P. Reiss, Kerry Collins, Julie Eichstedt, Abraham Rudnick, Wanrudee Isaranuwatchai, Jeffrey S. Hoch, Xianbin Wang, Daniel Lizotte, Shona Macpherson, Richard Booth
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引用次数: 0

摘要

本研究的总体目标是评估使用移动健康智能手机应用程序(app)来改善14至25岁之间有焦虑和/或抑郁症状的青少年的心理健康。该项目包括122名青年,他们在三家医院和两家社区机构之一接受心理健康门诊服务。年轻人和护理人员正在使用智能技术来加强护理。该技术使用移动问卷(QnairesTM)来帮助促进自我评估和跟踪变化,以支持护理计划。如果需要的话,为这些年轻人提供智能手机和通话/短信/数据套餐。大多数参与者认为自己是白种人(73.5%)。不出所料,人口统计数据显示,焦虑症和情绪障碍在样本中非常普遍(分别为73.6%和66.9%)。定性总结的结果表明,员工和年轻人都认为拥有智能手机和数据计划是有益的。年龄、性别、心理健康和身体健康等人口统计变量并不能预测哪些年轻人更有可能使用该应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Improving Access and Mental Health For Youth Using Smart Technologies

Improving Access and Mental Health For Youth Using Smart Technologies

The overall objective of this research is to evaluate the use of a mobile health smartphone application (app) to improve the mental health of youth between the ages of 14 and 25 years, with symptoms of anxiety and/or depression. This project includes 122 youth who are accessing outpatient mental health services at one of three hospitals and two community agencies. The youth and care providers are using the Smart technology to enhance care. The technology uses mobile questionnaires (QnairesTM) to help promote self-assessment and track changes to support the plan of care. The youth were provided a smartphone and talk/text/data plan, if needed. The majority of participants identified themselves as Caucasian (73.5%). Expectedly, the demographics revealed that Anxiety Disorders and Mood Disorders were highly prevalent within the sample (73.6% and 66.9% respectively). Findings from the qualitative summary established that both staff and youth found having a smartphone and data plan beneficial. Demographic variables such as age, sex, mental health and physical health did not predict which youth were more likely to use the application.

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来源期刊
IET Smart Cities
IET Smart Cities Social Sciences-Urban Studies
CiteScore
7.70
自引率
3.20%
发文量
25
审稿时长
21 weeks
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