基于模型的决策支持:基于社区的元实施策略,以预测人口影响
Kimberly Johnson1, Wouter Vermeer2, Holly Hills1
1Department of Mental Health Law and Policy, College of Community and Behavioral Sciences, University of South Florida, 13301 Bruce B Downs Blvd, Tampa, FL 33612, USA.
基于模型的决策支持 (MDDS) 通过预测干预影响,帮助社区领导人优化公共卫生战略. 这种方法有助于有效地将资源用于更好的健康结果.
科学领域:
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
- 计算社会科学 计算社会科学
背景情况:
- 标准的公共卫生工具不足以优化地方战略.
- 预测建模决策支持工具可以赋权社区领导人.
研究的目的:
- 描述一种基于模型的决策支持 (MDDS) 方法,以优化当地公共卫生战略.
- 为了说明MDDS使用案例研究来预防艾滋病毒和减少过量死亡.
主要方法:
- 社区参与和地方数据集成.
- 基于代理的建模用于预测洞察力.
- 对干预组合的元实施策略指导.干预组合的指导.
主要成果:
- MDDS支持预防艾滋病毒和减少过量服用的决策.
- 采用障碍包括数据采集和分散责任.
结论:
- MDDS可以增强社区决策者对科学知识的使用.
- 需要进一步的研究来评估MDDS的有效性和实施策略.
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