精神分裂症成年人的数字表型:叙述性审查
Erlend Lane1, Jessica D'Arcey2, Sean Kidd2
1Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA, 02115, USA.
使用智能手机数据进行数字表型识别,可以监测精神分裂症症状,并预测成年人复发. 需要进一步的研究来为老年人量身定制这项技术,并确保所有患者的数字素养.
科学领域:
- 精神病学是一个精神病学.
- 数字健康数字健康
- 老年学是一门学科.
背景情况:
- 老年人的精神分裂症护理需要创新.
- 数字表型为实时监测患者行为和症状提供了一种新的方法.
- 这项技术可以捕捉疾病动态和环境因素.
研究的目的:
- 审查关于精神分裂症成年患者数字表型化的当前文献.
- 探索数字表型化对监测精神分裂症症状和预测复发的潜力.
主要方法:
- 用成人精神分裂症患者数字表型化进行的研究的叙述性综述.
- 对现有研究进行分析,以确定趋势,局限性和未来方向.
主要成果:
- 很少有研究专门关注成年精神分裂症患者的数字表型,没有专门针对老年人的研究.
- 现有研究表明,数字表型识别有潜力监测负面,正面和功能症状.
- 该方法在预测精神分裂症患者复发方面表现有前途.
结论:
- 数字表型对推进精神分裂症护理具有重大前景,特别是在监测和复发预测方面.
- 未来的研究应该专注于慢性精神分裂症的症状学和确保患者的数字素养.
- 标准化数据集对于从数字表型研究中得出更强有力的结论至关重要.
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