在使用二次数据源时选择和实施并发症指数的考虑因素:卫生研究人员的指南
Boglarka Soos1, Tyler Williamson1,2, Kerry McBrien1,3
1Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada, T2N 4Z6.
International journal of population data science
|December 1, 2025
概括
选择合适的并发症指数对于准确的风险调整至关重要. 本综述指导研究人员选择和实施并发症措施,以提高研究质量和可解释结果.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 临床流行病学临床流行病学
- 生物统计学 生物统计学
背景情况:
- 同病症指数对于医疗保健研究中的风险调整至关重要.
- 现有的指数在方法上有所不同,包括病例定义,ICD代码分组和药物数据.
- 没有单一的共发病性测量方法在所有应用中普遍卓越.
研究的目的:
- 描述和批评现有的并发症指数.
- 为研究人员提供实施指导.
- 提高使用并发症指标的研究的质量和可解释性.
主要方法:
- 关于并发症指数的现有文献的叙述综合.
- 基于诊断和药物数据的仪器的批判性审查.
- 分析在研究中应用并发症指数的考虑因素.
主要成果:
- 存在各种方法来测量并发症,包括ICD代码分组和药物映射.
- 关键的实施考虑包括尊重时间性和在加权和二进制变量之间做出选择.
- 不同的指数在建模短期和长期结果方面具有不同的能力.
结论:
- 必须仔细选择和实施并发症指数.
- 遵守方法指南可以提高研究的有效性.
- 更好地了解并发症的措施,导致更高质量的研究.
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