首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >Proximity to Screening Site Rurality and Neighborhood Disadvantage: Treatment Status among Individuals with Sexually Transmitted Infections in Yakima County Washington
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Proximity to Screening Site Rurality and Neighborhood Disadvantage: Treatment Status among Individuals with Sexually Transmitted Infections in Yakima County Washington

机译:邻近筛查地点农村地区和邻近地区的不利因素:华盛顿州亚基马县性传播感染者的治疗状况

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摘要

: 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.
机译::早期的性传播感染(STIs)诊断有助于及时开始治疗,并有助于减少传播。这项研究调查了背景特征,例如与筛查地点的接近程度,农村地区和邻里的不利因素以及人口统计学变量在多大程度上可能影响性传播感染者(即衣原体,淋病和梅毒)寻求治疗的行为。 :从华盛顿州卫生部数据库监视系统获得了2007年至2018年之间亚基马县1,670例STI确诊病例的数据。应用多层次模型探讨背景和人口统计学特征与两个结果之间的关联:(a)不接受治疗和(b)接受治疗的天数。未接受治疗或治疗天数增加的背景风险因素是,居住在距筛查地点≥10英里的地方,并且居住在小城市,小城镇或农村地区。年龄较大是一个保护因素,而女性则是两种结果的风险。应使医疗保健提供者和医疗机构了解可能影响性传播感染者(尤其是青年,女性和农村居民)的人口统计学特征和背景特征。

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