Using Quality Improvement to Expand and Align State Public Health Long-Term Follow-up Data Collection Across Newborn Screening Conditions.

Kristi Bentler,Lexie Barber,Anna K Lintelmann,Darcia M Dierking,Abby C Meyer,Ashley Comer,Jennifer Hauser
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Abstract

CONTEXT Despite the undeniable success of newborn screening (NBS), numerous barriers exist regarding long-term follow-up (LTFU) of children with conditions included in NBS. Furthermore, there is a focus on condition-specific follow-up with no national guidelines for standard quality measures collected by state public health LTFU programs. PROGRAM Minnesota Department of Health (MDH) Longitudinal Follow-up for NBS. IMPLEMENTATION A state public health LTFU for NBS quality improvement (QI) project was carried out with collaboration between MDH project team members and a QI Steering Team who provided clinical, public health, education, caregiver, and community perspectives and expertise to MDH. Relevant measures were selected from existing data elements, and additional measures were developed based on exchange between MDH project team and the QI Steering Team. Potential data sources were explored and prioritized. Processes for querying existing data sources such as death records were refined, new sources such as electronic health records and paper/PDF health records were established, and data collection was piloted. The Minnesota Electronic Disease Surveillance System was modified, and an electronic data form was created to promote consistent data abstraction from sources. Throughout the project, progress was evaluated and shared. At project conclusion, MDH project team and the QI Steering Team reviewed project outcomes and approaches to evolve the project into ongoing surveillance. EVALUATION Five common public health LTFU measures were determined. Overall, 77% of attempted measures were successfully collected. Primary and secondary data sources were adopted. In addition, collected data resulted in 7% of cases that were closed to further public health LTFU, often related to a move out of state. DISCUSSION This project established the feasibility of state public health LTFU surveillance of outcomes and health care use by collecting a common data set applicable across NBS conditions.
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利用质量改进来扩大和调整各州公共卫生长期随访数据的收集,涵盖各种新生儿筛查条件。
内容尽管新生儿筛查(NBS)取得了不可否认的成功,但在对 NBS 所含病症的儿童进行长期随访(LTFU)方面仍存在许多障碍。项目明尼苏达州卫生部(MDH)的新生儿筛查纵向随访项目(Longitudinal Follow-up for NBS)在 MDH 项目组成员和 QI 指导小组的合作下开展了州公共卫生新生儿筛查纵向随访质量改进(QI)项目,QI 指导小组为 MDH 提供了临床、公共卫生、教育、护理人员和社区方面的观点和专业知识。从现有的数据元素中选择了相关的衡量标准,并根据 MDH 项目小组和 QI 指导小组之间的交流制定了其他衡量标准。对潜在的数据源进行了探索和优先排序。完善了现有数据源(如死亡记录)的查询流程,建立了新的数据源(如电子健康记录和纸质/PDF 健康记录),并对数据收集进行了试点。对明尼苏达州电子疾病监测系统进行了修改,并创建了电子数据表,以促进从数据源中提取一致的数据。在整个项目过程中,对进展情况进行了评估和共享。在项目结束时,明尼苏达州卫生部项目小组和 QI 指导小组对项目成果和方法进行了审查,以便将该项目发展为持续监测项目。总体而言,成功收集了 77% 的尝试措施。采用了一级和二级数据来源。此外,收集到的数据还导致 7% 的病例因进一步的公共卫生 LTFU 而结案,这些病例通常与迁出本州有关。讨论该项目通过收集适用于各种 NBS 条件的通用数据集,确定了对结果和医疗保健使用情况进行州公共卫生 LTFU 监测的可行性。
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