比较专业社区:阿片类药物处方者网络和公共卫生准备区
Patrick Kaminski1,2, Brea L Perry3, Harold D Green4
1Department of Sociology, Indiana University, Bloomington, IN, USA. pckamins@indiana.edu.
Harm reduction journal
|September 1, 2023
概括
社交网络分析可以确定针对阿片类药物干预的提供者集群. 与传统的地理边界相比,这种方法可以提高干预效率.
科学领域:
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
- 流行病学 流行病学
背景情况:
- 阿片类药物的使用和过量服用仍然是一个关键的公共卫生问题.
- 目前以提供者为中心的干预措施,通常以地理位置为基础,并没有制疫情.
- 地理界限可能不准确地反映提供者-患者网络或高风险阿片类药物使用区域.
研究的目的:
- 提出并测试基于社交网络的方法来识别提供商集群.
- 增强现有的地理和行政策略,以针对干预.
- 将提供者网络集群与传统的公共卫生准备区 (PHPD) 进行比较.
主要方法:
- 来自印第安纳州商业保险人口的一年处方数据的分析.
- 基于共享的患者群体推断提供者集群的推断.
- 推断的提供者集群与印第安纳州的PHPDs的比较.
主要成果:
- 提供商网络集群显示与PHPDs的变量重叠.
- 一些集群与PHPDs保持良好的对齐,而另一些则表现出较低的对应性.
- 这凸显了当前干预目标的潜在效率低下.
结论:
- 社交网络分析为识别提供者社区提供了一个补充策略.
- 提供者网络映射可以提高阿片类药物干预向的效率和有效性.
- 根据网络结构定制干预策略对于应对阿片类药物流行病至关重要.
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