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美国肯塔基州 2008 年至 2017 年出生记录的地理编码精度。

Geocoding precision of birth records from 2008 to 2017 in Kentucky, USA.

机构信息

Department of Epidemiology, University of Kentucky, College of Public Health, Lexington, KY.

Department of Geography, Lexington, KY.

出版信息

Geospat Health. 2022 May 6;17(1). doi: 10.4081/gh.2022.1020.

Abstract

Maternal address information captured on birth records is increasingly used to estimate residential environmental exposures during pregnancy. However, there has been limited assessment of the geocoding precision of birth records, particularly since the adoption of the 2003 standard birth certificate in 2015. To address this gap, this study evaluated the geocoding precision of live and stillbirth records of Kentucky residents over ten years, from 2008 through 2017. This study summarized the demographic characteristics of imprecisely geocoded records and, using a bivariate logistic regression, identified covariates associated with poor geocoding precision among three population density designations-metro, non-metro, and rural. We found that in metro areas, after adjusting for area deprivation, education, and the race, age and education of both parents, records for Black mothers had 48% lower odds of imprecise geocoding (aOR=0.52, 95% CI: 0.48, 0.56), while Black women in rural areas had 96% higher odds of imprecise geocoding (aOr=1.96, 95% CI: 1.68, 2.28). This study also found that over the study period, rural and non-metro areas began with a high proportion of imprecisely geocoded records (38% in rural areas, 19% in non-metro), but both experienced an 8% decline in imprecisely geocoded records over the study period (aOr=0.92, 95% CI: 0.92, 0.94). This study shows that, while geocoding precision has improved in Kentucky, further work is needed to improve geocoding in rural areas and address racial and ethnic disparities.

摘要

产妇地址信息在出生记录中越来越多地被用于估计怀孕期间的居住环境暴露情况。然而,对于出生记录的地理编码精度评估,尤其是自 2015 年采用 2003 年标准出生证明以来,评估一直很有限。为了解决这一差距,本研究评估了肯塔基州居民的活产和死产记录在十年内(2008 年至 2017 年)的地理编码精度。本研究总结了地理编码不准确记录的人口统计学特征,并使用双变量逻辑回归,确定了在三个人口密度分类(大都市、非大都市和农村)中与地理编码精度差相关的协变量。我们发现,在大都市地区,在调整了区域贫困、教育以及父母双方的种族、年龄和教育程度后,黑人母亲的记录不准确地理编码的可能性降低了 48%(调整后的优势比[aOR]=0.52,95%可信区间[CI]:0.48,0.56),而农村地区的黑人女性不准确地理编码的可能性则增加了 96%(调整后的优势比[aOR]=1.96,95%CI:1.68,2.28)。本研究还发现,在研究期间,农村和非大都市地区的不准确地理编码记录比例较高(农村地区为 38%,非大都市地区为 19%),但两者在研究期间都降低了 8%的不准确地理编码记录比例(调整后的优势比[aOR]=0.92,95%CI:0.92,0.94)。本研究表明,尽管肯塔基州的地理编码精度有所提高,但仍需要进一步努力改进农村地区的地理编码,并解决种族和族裔差异问题。

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