微信辅助电子症状测量为患有腺肌症的患者
1College of Public Health, Chongqing Medical University, Chongqing, China.
BMC medical informatics and decision making
|June 17, 2024
概括
开发并验证了一种新的基于微信的腺肌病 (AM-SAS) 症状评估尺度. 这种工具精确地识别了症状管理需求,并可以提醒腺菌症患者疾病复发.
科学领域:
- 妇产科和产科 妇产科和产科
- 数字健康数字健康
- 患者报告的结果
背景情况:
- 有效的腺髓炎管理依赖于准确的症状评估.
- 现有的评估方法可能缺乏准确性和及时性来确定患者的需求.
- 需要一个数字化解决方案来监测腺髓炎症状和检测复发.
研究的目的:
- 开发和验证一个基于微信迷你程序的腺菌症 (AM-SAS) 症状评估尺度.
- 准确及时识别腺髓炎患者的症状管理需求.
- 建立一个警报潜在疾病复发的工具.
主要方法:
- 通过患者采访和临床医生与患者沟通的自然语言处理生成的症状项目.
- 一个专家小组完善了项目库,以创建临时的AM-SAS.
- 使用经典测试理论和物品响应理论通过微信小程序员验证了AM-SAS.
主要成果:
- 这项研究包括338名腺髓炎患者和86名妇科医生,超过90%的患者符合基于微信的评估.
- 拉什分析证实了AM-SAS的单维性,具有良好的内部一致性 (克朗巴赫α>0.8) 和测试重复测试可靠性 (ICC 0.65-0.84).
- 在AM-SAS中区分了贫血和非贫血组之间的症状严重程度,并检测了患有或没有复发的患者之间的症状负担和身体状况的差异.
结论:
- 电子,患者报告的基于结果的AM-SAS是监测腺菌症症状的宝贵工具.
- 在临床试验中,AM-SAS可以作为结果指标,识别需要广泛护理的患者.
- 这种尺度可以捕捉患者的显著有益变化,否则可能会被忽视.
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