提高全州出生缺陷登记处数据质量:来自持续质量改进倡议的见解
Rebecca Howell1, Rachel Allred1, Dayana Betancourt1
1Texas Department of State Health Services, Birth Defects Epidemiology and Surveillance Branch (BDESB) and Texas Birth Defects Registry (TBDR).
Journal of registry management
|February 3, 2025
概括
对德克萨斯州出生缺陷登记 (TBDR) 工作人员进行的一项调查确定了关键数据质量挑战,包括及时性和培训需求. 这些发现为改进监控数据质量和操作的战略提供了信息.
科学领域:
- 公共卫生监督 公共卫生监督
- 数据质量管理数据质量管理
- 遗传异常研究研究 生产异常研究
背景情况:
- 德克萨斯州出生缺陷登记 (TBDR) 自1999年以来一直在全州范围内监测先天性异常.
- 现有的质量保证程序被一种新的调查方法补充.
- 目标是主动识别影响数据质量的操作问题.
研究的目的:
- 实施一项调查,以确定影响数据质量的程序和操作挑战.
- 制定策略来缓解影响数据质量的问题,例如报告实践的变化或流行病等外部事件.
主要方法:
- 一个匿名的,开放文本调查被分发给TBDR工作人员.
- 该调查收集了有关TBDR行动,伙伴关系和外部沟通的反.
- 在第二年和第三年,调查长度从9个问题减少到3个问题.
主要成果:
- 调查完成率为45% (第一年),74% (第二年) 和49% (第三年).
- 主题分析揭示了7个主要主题:数据及时性,数据质量改进,工作流的优化,基础培训,专业培训,系统挑战和内部沟通.
结论:
- 该项目表明,主动监控注册表可以系统地收集员工的经验,以提高数据质量.
- 调查结果导致了战略规划,加强员工培训和数据系统改进.
- 需要进一步监测以评估长期影响;发现可能有利于其他监测计划.
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