从使用链接的行政数据来评估英格兰和苏格兰的家庭护士伙伴关系中吸取的经验教训
Francesca L Cavallaro1,2, Rebecca Cannings-John3, Fiona Lugg-Widger3
1UCL Great Ormond Street Institute of Child Health, London, UK.
International journal of population data science
|September 6, 2023
概括
链接的行政数据为母亲和儿童健康干预提供了具有成本效益的评估. 改善关于计划交付和常规护理的数据对于准确评估和最小化复杂公共卫生计划中的偏见至关重要.
科学领域:
- 公共卫生 公共卫生
- 医疗保健服务研究 医疗服务研究
- 数据科学数据科学数据科学
背景情况:
- 大数据,包括相关的行政数据,为评估母亲和儿童健康干预提供了机会.
- 链接的行政数据为传统的随机对照试验提供了一个时间和成本高效的替代方案.
- 使用这些数据来评估复杂的,人口层面的干预措施存在挑战.
研究的目的:
- 通过识别偏见来源和吸取经验教训,为未来对复杂干预措施的评估提供信息.
- 描述在对母婴健康计划评估中使用链接行政数据的改进.
- 分析两项观察性研究,评估英格兰和苏格兰的家庭护士伙伴关系 (FNP).
主要方法:
- 检查了链接行政数据中的潜在偏差来源.
- 评估研究设计如何使用母子混器解决偏见.
- 确定需要的额外数据,以最大限度地减少偏差并最大限度地提高群体的可比性.
主要成果:
- 需要有关干预活动和通常护理的详细数据.
- 改善数据链接质量的重要性对于对照组的表征.
- 要求更有效地提供链接数据,以便及时获得结果.
- 需要更好地测量混杂特征.
结论:
- 链接的行政数据对于评估像FNP这样的复杂干预是有价值的.
- 关于当地节目交付和常规护理的信息对于考虑偏见至关重要.
- 通过改进数据收集和准实验设计的综合项目实施可以提高评估.
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