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A method for identifying persons at high risk for sexually transmitted infections: opportunity for targeting intervention.

机译:一种确定性传播感染高危人群的方法:针对性干预的机会。

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摘要

OBJECTIVES. The purpose of this study was to develop a method to identify persons at high risk for acquiring new sexually transmitted infections. METHODS. Computerized medical records from sexually transmitted disease clinics in Dade County, Florida, were used to conduct a retrospective cohort study. For all patients who visited in 1987, risk factors were identified for returning to the clinics within a year with a new sexually transmitted infection. Predictor variables were derived from the index visit and any visits in the year prior to the index visit. Logistic regression was used to develop a model that was applied to all patients who attended in 1989. RESULTS. Of 24,439 patients attending in 1987, 18.5% returned within a year with a new infection. Return rates were highest for 15- to 19-year-old Black males (31.8%). The highest odds ratios for returning were a diagnosis or treatment for an infection in the previous year and a diagnosis or treatment for infection at the index visit. The patients predicted to be at highest risk had a 39% return rate. There were as many new infections among the 2893 patients at highest risk as there were among the 13,326 patients at lowest risk. CONCLUSIONS. We developed a model that identifies persons at very high risk for sexually transmitted infection. These persons should be targeted for intensive intervention to reduce their risk.
机译:目标这项研究的目的是开发一种方法,以识别高风险人群获得新的性传播感染。方法。来自佛罗里达州达德县性传播疾病诊所的计算机医疗记录用于进行回顾性队列研究。对于1987年就诊的所有患者,确定了在一年内再次感染新的性传播感染的危险因素。预测变量来自索引访问以及索引访问之前一年中的任何访问。使用Logistic回归开发适用于1989年就诊的所有患者的模型。在1987年参加治疗的24,439名患者中,有18.5%在一年内复发了新的感染。 15至19岁的黑人男性的回报率最高(31.8%)。返回的最高比值比是上一年的感染诊断或治疗以及指标访问时的感染诊断或治疗。预计风险最高的患者有39%的复发率。在2893名高危患者中,新感染的发生与13326例低危患者中的发生一样多。结论。我们开发了一种模型,该模型可以识别性传播感染的高风险人群。应将这些人作为重点干预对象,以降低其风险。

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