通过解决健康的社会决定因素来促进健康公平：利用健康数据改善教育成果。
Advancing health equity by addressing social determinants of health: Using health data to improve educational outcomes.
机构信息
Paramount Health Data Project, Indianapolis, Indiana, United States of America.
Paramount Schools of Excellence, Indianapolis, Indiana, United States of America.
出版信息
PLoS One. 2021 Mar 17;16(3):e0247909. doi: 10.1371/journal.pone.0247909. eCollection 2021.
Data from two social determinants of health-access to health care and access to a quality education-are combined to examine the impact of health on student achievement. Data from a high poverty, high performing K-8 school revealed a significant negative correlation between the number of visits to a school-based nurse and standardized academic assessments. Fixed effect regression confirmed the effect of total number of visits to the school-based nurse on performance on standardized assessments, and also revealed that two types of visits, neurological and gastrointestinal, were predictive of student performance. Taken together, these results suggest that when students are suffering from ill health their academic performance is negatively impacted. Implications for improving health equity through data-driven educational interventions are discussed.
将健康状况相关的两个社会决定因素（即获得医疗保健和接受优质教育的机会）的数据相结合，考察健康对学生成绩的影响。从一所贫困程度高但表现出色的 K-8 学校获得的数据显示，到校护士就诊次数与标准化学业评估之间呈显著负相关。固定效应回归证实了到校护士总就诊次数对标准化评估成绩的影响，还表明两种就诊类型（神经和胃肠道）可预测学生表现。综上所述，这些结果表明，当学生身体不适时，他们的学习成绩会受到负面影响。文中还讨论了通过数据驱动的教育干预措施来改善健康公平的意义。
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