乙型肝炎护理连续模型-数据为公共卫生行动提供信息
Philip R Spradling1, Angelica Bocour2, Danica E Kuncio3
1Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, GA, USA.
开发慢性乙型肝炎的护理连续模式具有挑战性,但至关重要. 卫生部门可以使用注册表和报告数据来识别差距,改善诊断,护理和治疗,降低肝病死亡率.
科学领域:
- 公共卫生 公共卫生
- 肝病学 肝病学是一种肝病学.
- 医疗信息学 医疗信息学
背景情况:
- 与艾滋病毒或HCV相比,慢性乙型肝炎 (CHB) 护理连续模型 (CCM) 面临着独特的挑战.
- 对于CHB,治疗并不普遍适用,临床终点不那么明确.
- 不适用于治疗的个人仍然面临严重并发症的风险,如肝病和死亡率.
研究的目的:
- 检查在管辖卫生部门层面开发和实施CHB CCMs的基本数据元素.
- 探索公共卫生部门如何利用数据来改善CHB管理.
- 确定减少CHB相关肝病和死亡率的策略.
主要方法:
- 美国出版物的非系统性审查来自Ovid MEDLINE,Embase和Scopus.
- 对724个获取的出版物进行分析,以确定CHB CCMs所需的数据元素.
- 检查纵向跟踪和注册表发展的数据要求.
主要成果:
- 司法管辖区的卫生部门可以使用个人级别的注册表来开发本地特定的CHB CCM.
- 通过电子实验室和病例报告进行纵向更新至关重要.
- CCM可以识别差异并改善测试,护理联系和治疗机会.
结论:
- 加强公共卫生监测基础设施对于CHB CCM发展至关重要.
- 最初专注于早期的CCM步骤 (诊断,与护理联系,随访) 可以改善结果.
- 对数据报告和补充来源的投资可以实现有效的CHB管理和降低死亡率.
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