TY -的盟Golembiewski伊丽莎白AU -艾伦,凯蒂·S AU - Blackmon琥珀M AU - Hinrichs,瑞秋J盟,背心,约书亚R PY - 2019 DA - 2019/10/7 TI -结合临床前的健康决定因素和临床数据研究和评价:快速审查乔- JMIR公共卫生Surveill SP - e12846六世- 5 - 4 KW -健康问题社会决定因素KW -社会经济因素KW -不平等KW -人口特征KW - AB社会环境背景:健康的非临床决定因素对卫生保健服务和卫生政策越来越重要。在更好地解决患者非医疗问题的兴趣日益增长的同时，提供洞察这些非临床健康决定因素的数据源的可用性呈指数级增长。目的:本综述旨在描述结合临床数据源使用非临床健康指标的现有文献的状态。方法:我们对英文发表的文章和相关机构出版物进行快速回顾。符合条件的研究描述了将非临床数据与临床数据结合的效果、方法或需要，并于2010年1月至2018年4月在美国发表。其他报告通过手动检索获得。由4名训练有素的评审员进行评分间可靠性检查，分2轮筛选纳入的记录。从每篇文章中，我们对所报告的每个非临床健康决定因素的测量方法、数据源和测量水平(单个或总体)进行了抽象。结果:共纳入文献178篇。 The articles collectively reported on 744 different nonclinical determinants of health measures. Measures related to socioeconomic status and material conditions were most prevalent (included in 90% of articles), followed by the closely related domain of social circumstances (included in 25% of articles), reflecting the widespread availability and use of standard demographic measures such as household income, marital status, education, race, and ethnicity in public health surveillance. Measures related to health-related behaviors (eg, smoking, diet, tobacco, and substance abuse), the built environment (eg, transportation, sidewalks, and buildings), natural environment (eg, air quality and pollution), and health services and conditions (eg, provider of care supply, utilization, and disease prevalence) were less common, whereas measures related to public policies were rare. When combining nonclinical and clinical data, a majority of studies associated aggregate, area-level nonclinical measures with individual-level clinical data by matching geographical location. Conclusions: A variety of nonclinical determinants of health measures have been widely but unevenly used in conjunction with clinical data to support population health research. SN - 2369-2960 UR - https://publichealth.www.mybigtv.com/2019/4/e12846 UR - https://doi.org/10.2196/12846 UR - http://www.ncbi.nlm.nih.gov/pubmed/31593550 DO - 10.2196/12846 ID - info:doi/10.2196/12846 ER -