在地方社区实施HPTN 094复杂干预INTEGRA的数据驱动方法
Laramie R Smith1, Amaya Perez-Brumer2, Melanie Nicholls3
1School of Medicine, University of California San Diego, 9500 Gilman Drive #0507, La Jolla, CA, 92093-0507, USA. laramie@ucsd.edu.
Implementation science : IS
|June 3, 2024
概括
以数据为导向的方法有效地指导向注射药物使用者 (PWID) 提供综合艾滋病毒和阿片类药物使用障碍服务. 这一战略有助于克服诸如耻辱和有限的医疗保健准入等障碍,改善这一群体的健康结果.
科学领域:
- 实施科学 实施科学
- 公共卫生 公共卫生
- 医疗保健服务研究 医疗服务研究
背景情况:
- 注射药物使用者 (PWID) 面临着严重的艾滋病毒负担,原因是像耻辱,贫困和对阿片类药物使用障碍 (MOUD) 和艾滋病毒治疗/预防药物的有限获取等综合性因素.
- 现有的医疗服务往往不在同一地点,这阻碍了对PWID的综合护理.
- 美国不断变化的药物使用模式和地理差异需要适应性服务交付模式.
研究的目的:
- 评估一种以数据为导向的方法,以优化向PWID提供集成的MOUD和HIV服务.
- 为移动综合护理单位确定和描述可行的实施社区.
主要方法:
- 采用了使用PRISM框架的混合,混合方法,数据驱动方法.
- 三角化预实施 (流行病学监测) 和实施阶段数据 (生态评估,会议).
- 描述了影响美国五个城市社区生存能力的环境因素.
主要成果:
- 社区层面的毒品使用,地理分布和社会政治因素影响了流行病学数据在确定合适地点的有效性.
- 在分散的人口中,靠近公共交通和PWID聚集空间至关重要.
- 选择地点的额外数据源 (过量服用,住房) 的实用性是可变的.
结论:
- 数据驱动的策略为实时实施PWID综合护理模型提供了一个务实的方法.
- 这种方法有助于通过考虑当地社区的环境因素来扩大复杂的干预.
- 实施科学方法对于解决美国各种景观中PWID的多样化需求至关重要.
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