From the Homestead Hospital, Baptist Health South Florida, Miami.
Florida Department of Health, Miami-Dade County.
Sex Transm Dis. 2020 May;47(5S Suppl 1):S61-S65. doi: 10.1097/OLQ.0000000000001133.
In a recent sexually transmitted disease surveillance report from the Centers for Disease Control and Prevention, Miami-Dade County had the nation's fourth highest rate of infectious syphilis, with rates of congenital syphilis on the rise. As a public health response, Homestead Hospital, in collaboration with the Florida Department of Health, enhanced their emergency department's routine HIV/HCV "opt-out" screening infrastructure to include a syphilis smart screening algorithm. The purpose of this article is to describe the development, implementation, and evaluation of the algorithm.
A retrospective evaluation of patient records prompted the development of the algorithm. Homestead Hospital's electronic health record system automatically triggers a syphilis test based on the reason for medical visit (e.g., rash, penile discharge, a positive pregnancy test, historical or present sexually transmitted disease result). If a patient tests positive, he/she is counseled and linked to care.
Since implementation (April 2018 to August 2019), the smart screening algorithm triggered 4806 syphilis tests: 122 patients tested positive (2.5% seropositivity). After confirmatory testing, 59 patients were positive for syphilis, of which 27 were pregnant.
The Homestead Hospital and Department of Health-Miami-Dade's response to Miami-Dade County's syphilis problem is innovative and replicable. The program embraces technology, enhances the routine opt-out screening model, and does not affect preexisting workflows. Ultimately, implementation of this algorithm allows patients to get treatment, receive comprehensive prevention services, and, in some cases, avert congenital syphilis.
在美国疾病控制与预防中心最近发布的一份性传播疾病监测报告中,迈阿密-戴德县的传染性梅毒发病率位居全美第四,先天性梅毒发病率呈上升趋势。作为公共卫生应对措施,霍姆斯特德医院与佛罗里达州卫生部合作,加强了其急诊部门常规 HIV/HCV“选择退出”筛查基础设施,纳入了梅毒智能筛查算法。本文旨在描述该算法的开发、实施和评估。
对患者记录的回顾性评估促成了该算法的开发。霍姆斯特德医院的电子健康记录系统会根据就诊原因(例如皮疹、阴茎分泌物、阳性妊娠试验、既往或现有性传播疾病结果)自动触发梅毒检测。如果患者检测呈阳性,会对其进行咨询并转介至相关治疗。
自实施(2018 年 4 月至 2019 年 8 月)以来,智能筛查算法共触发了 4806 次梅毒检测:122 名患者检测呈阳性(2.5%的血清阳性率)。经过确认性检测,59 名患者梅毒检测呈阳性,其中 27 名孕妇。
霍姆斯特德医院和迈阿密-戴德卫生部对迈阿密-戴德县梅毒问题的应对措施具有创新性和可复制性。该方案采用了新技术,增强了常规的选择退出筛查模式,且不会影响现有工作流程。最终,该算法的实施使患者得到了治疗,接受了全面的预防服务,在某些情况下还避免了先天性梅毒的发生。