赋予人民权力:为什么个人生成的健康数据对药物流行病学很重要
American journal of epidemiology
|April 5, 2024
概括
个人生成的健康数据 (PGHD) 提供了对日常健康和药物有效性的独特见解,即使存在潜在偏见. 解决这些偏见允许PGHD填补信息空白,并告知以患者为中心的结果.
科学领域:
- 药学流行病学 药学流行病学
- 医疗信息学 医疗信息学
- 患者报告的结果
背景情况:
- 个人生成的健康数据 (PGHD) 提供了对现实世界健康结果的独特见解.
- 传统的研究方法可能无法捕捉患者体验和暴露的全部范围.
- PGHD可以提供以其他方式无法获得的数据,特别是用于长期随访和立即的健康决策.
研究的目的:
- 突出个人生成的健康数据在临床研究和监管科学中的价值和潜力.
- 讨论PGHD固有的偏见以及理解和解决它们的必要性.
- 探索PGHD在患者相关结果和更广泛的健康数据网络中的未来应用.
主要方法:
- 审查现有的文献和案例示例,证明PGHD的实用性.
- 讨论患者报告信息的验证要求.
- 探索将PGHD集成到健康数据网络中的方法,例如代币化.
主要成果:
- 在评估COVID-19疫苗的益处/风险和疾病传播方面,PGHD已被证明是有价值的.
- 患者可以独特地报告影响药物安全性和有效性的暴露 (例如,补充药物,生活方式因素).
- 对于长期安全监测,特别是对于基因疗法等干预措施,PGHD至关重要.
结论:
- 尽管存在潜在的偏见,但PGHD提供了宝贵的见解,特别是当偏见被理解和管理时.
- 在监管环境中,PGHD准备成为识别不同人群风险和利益的基石.
- 将PGHD整合到更广泛的健康网络中,将增强以患者为中心的研究和结果.
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