确定在美国STI病例率特别低的县的预测因素 (2019年):正偏差模型
Sungwon Lim1, Betty Bekemeier2, Jillian Pintye3
1Department of Nursing, Dongguk University WISE, Gyeongju, Gyeongbuk, South Korea.
Sexual health
|December 4, 2025
概括
在小,社会脆弱的县有直接的性传播感染治疗服务的当地卫生部门是控制美国性传播感染 (STIs) 流行病的关键. 识别这些高绩效领域可以为公共卫生战略提供信息.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 美国面临着性传播感染 (STI) 的重大流行,尽管最近的稳定,但其发病率仍然很高.
- 地方卫生部门 (LHDs) 对预防和治疗性传播疾病至关重要,但它们的有效性各不相同.
- 采用正偏差 (PD) 方法来确定美国县有意想不到的低性传播感染率.
研究的目的:
- 通过正偏差 (PD) 方法,确定具有低于预期的性传播感染 (STI) 率的高绩效县.
- 分析与这些高绩效县相关的特征和预测因素.
主要方法:
- 一项横截面研究设计分析了来自美国981个县的数据.
- 一种两步方法涉及多变量线性回归来识别PD县和多变量物流回归来检查PD状态的预测因素.
主要成果:
- 确定了187个 (19.06%) 的高绩效县.
- 较小的县 (人口<25,000人) 被识别为PD县的可能性是6.47倍.
- 较高的社会脆弱性 (种族/族裔小组,住房,交通) 和提供直接性传播感染治疗服务的LHD与高绩效有关.
结论:
- 阳性偏差 (PD) 方法有效地识别了在STI控制中高绩效的当地卫生部门 (LHD).
- 对这些县的具体干预措施的进一步研究可以为有针对性的公共卫生战略提供信息.
- 结果可以指导资源分配,以便在全国范围内更有效地预防和治疗性感染感染.
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