使用青少年和护理人员报告的症状数据预测青少年心理治疗结果
Craig E Henderson1, Grace S Woodard2, Melanie Simmonds-Buckley3
1Department of Psychology and Philosophy, Sam Houston State University, Huntsville, TX, USA.
概括
年轻人报告的症状有效地预测了心理健康服务中的治疗成功. 症状和功能严重程度量表 (SFSS) 算法有助于识别有治疗失败风险的青少年,指导临床护理.
科学领域:
- 儿童和青少年精神病学 儿童和青少年精神病学
- 心理健康服务研究 心理健康服务研究
- 临床心理学 临床心理学
背景情况:
- 青少年心理健康服务需要可靠的方法来跟踪治疗进展.
- 识别有治疗失败风险的年轻人对于有效的干预至关重要.
- 常规的心理健康环境对结果监测提出了独特的挑战.
研究的目的:
- 为了获得青少年心理症状的预期变化轨迹.
- 使用纵向数据识别治疗失败风险的病例.
- 评估症状和功能严重程度尺度 (SFSS) 在日常护理中的实用性.
主要方法:
- 从三个样本中使用了纵向青年和护理人员报告 (N=1906年轻人).
- 采用多级建模来建立预期的变化轨迹.
- 开发了一种算法来识别未能成功治疗的年轻人 (NOT).
- 使用后勤回归来预测基于 NOT 状态的改进.
主要成果:
- 年轻人报告的SFSS症状可靠地表明了治疗变化.
- 护理人员的报告对治疗进展的指标不那么强大.
- 不是状态算法在预测年轻人报告的改善方面表现出适度的灵敏度.
- 护理人员报告对治疗结果的预测效果不如护理人员报告.
结论:
- 年轻人报告的基于SFSS的算法适合临床实施.
- 这种方法有助于识别需要进一步支持的青少年.
- 需要进一步的研究,以找到基于护理人员的预测措施.
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