Recommendations for improving national clinical datasets for health equity research
Recommendations for improving national clinical datasets for health equity research
复制标题
关于改善卫生公平研究的国家临床数据集的建议
DOI：
10.1093/jamia/ocaa144
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发表时间：
2020-11-01
影响因子：
6.4
通讯作者：
Heintzman, John
中科院分区：
文献类型：
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作者：
Block, Rebecca G.;Puro, Jon;Heintzman, John
尽管在临床、研究和政策方面做出了努力，但健康和医疗保健方面的差距仍然存在。大型临床数据集可能不包含与医疗保健差异相关的数据，利用这些数据进行研究可能对于改善健康公平至关重要。健康差异协作研究小组受以患者为中心的结果研究所委托，研究数据科学对质量和完整数据的需求，并为改善围绕健康差异的数据科学提供建议。该小组召集了内容专家、研究人员、临床医生和患者，提出了这些建议和实施建议。我们的愿望是提出建议，以提高医疗数据集在健康公平研究中的可用性。这些建议总结为 3 个主要领域：患者声音、准确变量和数据链接。在国家数据集中实施这些建议有可能加速健康差异研究并促进减少健康不平等的努力。
Health and healthcare disparities continue despite clinical, research, and policy efforts. Large clinical datasets may not contain data relevant to healthcare disparities and leveraging these for research may be crucial to improve health equity. The Health Disparities Collaborative Research Group was commissioned by the Patient-Centered Outcomes Research Institute to examine the data science needs for quality and complete data and provide recommendations for improving data science around health disparities. The group convened content experts, researchers, clinicians, and patients to produce these recommendations and suggestions for implementation. Our desire was to produce recommendations to improve the usability of healthcare datasets for health equity research. The recommendations are summarized in 3 primary domains: patient voice, accurate variables, and data linkage. The implementation of these recommendations in national datasets has the potential to accelerate health disparities research and promote efforts to reduce health inequities.