在慢性疾病队列中,子症状指数与患者报告结果测量信息系统-10的预测标准有效性:回顾性队列研究
Hants Williams1, Sarah Steinberg2, Kendall Leon3
1Applied Health Informatics, School of Health Professions, Stony Brook University, Stony Brook, NY, United States.
JMIR formative research
|February 16, 2024
概括
症状指数 (PSI) 有效地预测了PROMIS-10全球健康得分的变化,验证了其在远程医疗中用于慢性疾病管理的使用. 这个工具提供了对患者心理和身体健康的洞察.
科学领域:
- 数字健康数字健康
- 患者报告的结果
- 慢性疾病管理 慢性疾病管理
背景情况:
- 60%的美国成年人患有慢性疾病,造成医疗负担.
- 远程医疗正在上升,增加了数字患者报告结果测量 (PROM) 的需求.
- 症状指数 (PSI) 是一个电子PROM,用于远程医疗.
研究的目的:
- 为了确定PSI是否预测PROMIS-10全球健康得分的变化.
- 为了评估PSI的标准有效性与验证的健康结果措施相比.
主要方法:
- 追溯队列研究,包括367名患者和1170个观察 (2017-2023年).
- 患者完成了PSI和PROMIS-10多次.
- 使用单变回归模型来分析预测有效性.
主要成果:
- 在PSI和PROMIS-10身体和心理健康得分之间发现了显著的关系.
- 公共服务标准证明了标准的有效性,支持其使用.
- PSI显示了预测心理和身体健康维度的潜力.
结论:
- PSI对于理解远程医疗中的症状学和健康结果很重要.
- 结果支持PSI在临床环境和研究中的价值.
- PSI是慢性疾病管理的研究和实践的多功能工具.
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