系统动力学 的建模 长期护理中的严重程度状态
B Turton1, J Griffith2, J A Jones3
1University of Puthisastra and Boston University Henry M. Goldman School of Dental Medicine, Boston, MA, USA.
Journal of dental research
|November 21, 2024
概括
长期护理 (LTC) 居民的牙损是一个重大问题. 银胺化物 (SDF) 干预,单独或与局部化物 (TF) 结合,在减少这个人群的病严重程度方面显示出希望.
科学领域:
- 老年人牙科 老年人牙科
- 公共卫生 公共卫生
- 卫生系统建模 卫生系统建模
背景情况:
- 牙损是长期护理 (LTC) 居民的一个复杂,持久的问题,受到社会和结构因素的影响.
- 系统思维为开发创新的策略提供了一个框架,以打击脆弱人群中的口腔疾病.
研究的目的:
- 开发一个系统动态模型,模拟牙的LTC居民的病进展.
- 估计局部化物 (TF),银二胺化物 (SDF) 和结合TF/SDF干预措施对病严重性的影响.
主要方法:
- 创建了一个系统动态模型,将牙的LTC居民分为四个虫严重程度的状态.
- 模型参数基于文献发病率和牙科账单数据.
- 模拟估计了随着时间的推移对疾病进展的干预影响.
主要成果:
- 所有情景都稳定了未经治疗的病变的居民比例,从高严重程度的疾病转移了疾病分布.
- 局部化物 (TF) 的影响最小 (2.5%下降).
- 银二胺化物 (SDF) 和联合TF/SDF干预措施显著减少了,分别减少了29.6%和33.6%.
结论:
- 基于SDF的干预措施在LTC环境中高效地管理的严重程度.
- 长期战略 (超过4年) 应将现有的病变管理与发病预防相结合.
- 开发的模型允许对LTC设施进行特定地点的干预估计.
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