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筛查点的临近程度、农村地区的位置和邻里劣势:华盛顿州雅基马县性传播感染个体的治疗状况。

Proximity to Screening Site, Rurality, and Neighborhood Disadvantage: Treatment Status among Individuals with Sexually Transmitted Infections in Yakima County, Washington.

机构信息

Department of Nutrition and Exercise Physiology, Elson S. Floyd College of Medicine, Washington State University, Spokane, WA 99202, USA.

School of Molecular Biosciences, Washington State University, Pullman, WA 99163, USA.

出版信息

Int J Environ Res Public Health. 2020 Apr 14;17(8):2679. doi: 10.3390/ijerph17082679.

Abstract

: Early sexually transmitted infections (STIs) diagnosis facilitates prompt treatment initiation and contributes to reduced transmission. This study examined the extent to which contextual characteristics such as proximity to screening site, rurality, and neighborhood disadvantage along with demographic variables, may influence treatment seeking behavior among individuals with STIs (i.e., chlamydia, gonorrhea, and syphilis). : Data on 16,075 diagnosed cases of STIs between 2007 and 2018 in Yakima County were obtained from the Washington State Department of Health Database Surveillance System. Multilevel models were applied to explore the associations between contextual and demographic characteristics and two outcomes: (a) not receiving treatment and (b) the number of days to receiving treatment. Contextual risk factors for not receiving treatment or having increased number of days to treatment were living ≥10 miles from the screening site and living in micropolitan, small towns, or rural areas. Older age was a protective factor and being female was a risk for both outcomes. Healthcare providers and facilities should be made aware of demographic and contextual characteristics that can impact treatment seeking behavior among individuals with STIs, especially among youth, females, and rural residents.

摘要

早期性传播感染(STI)的诊断有助于及时开始治疗,并有助于减少传播。本研究考察了环境特征(如靠近筛查地点、农村地区和社区劣势)以及人口统计学变量在多大程度上可能影响性传播感染患者(即衣原体、淋病和梅毒)的治疗寻求行为。从华盛顿州卫生部门数据库监测系统获得了 2007 年至 2018 年间雅基马县 16075 例性传播感染诊断病例的数据。应用多水平模型探讨了环境和人口统计学特征与两个结果之间的关联:(a)未接受治疗和(b)接受治疗的天数。未接受治疗或治疗天数增加的环境危险因素是距离筛查地点≥10 英里以及居住在大都市、小镇或农村地区。年龄较大是一个保护因素,而女性则是两个结果的危险因素。医疗保健提供者和医疗机构应该了解可能影响性传播感染患者治疗寻求行为的人口统计学和环境特征,尤其是青年、女性和农村居民。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8608/7215758/f329dfcd7743/ijerph-17-02679-g001.jpg

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