Abstract：
Maternal morbidity and mortality remain significant challenges in the United States, with substantial burden during the postpartum period. The Centers for Disease Control and Prevention, in partnership with the National Association of Community Health Centers, began an initiative to build capacity in Federally Qualified Health Centers to (1) improve the infrastructure for perinatal care measures and (2) use perinatal care measures to identify and address gaps in postpartum care. Two partner health center-controlled networks implemented strategies to integrate evidence-based recommendations into the clinic workflow and used data-driven health information technology (HIT) systems to improve data standardization for quality improvement of postpartum care services. Ten measures were created to capture recommended care and services. To support measure capture, a data cleaning algorithm was created to prioritize defining pregnancy episodes and delivery dates and address data inconsistencies. Quality improvement activities targeted postpartum care delivery tailored to patients and care teams. Data limitations, including inconsistencies in electronic health record documentation and data extraction practices, underscored the complexity of integrating HIT solutions into postpartum care workflows. Despite challenges, the project demonstrated continuous quality improvement to support data quality for perinatal care measures. Future solutions emphasize the need for standardized data elements, collaborative care team engagement, and iterative HIT implementation strategies to enhance perinatal care quality. Our findings highlight the potential of HIT-driven interventions to improve postpartum care within health centers, with a focus on the importance of addressing data interoperability and documentation challenges to optimize and monitor initiatives to improve postpartum health outcomes.
摘要：
孕产妇发病率和死亡率仍然是美国面临的重大挑战，在产后期间负担很大。疾病控制和预防中心,与全国社区卫生中心协会合作，开始了一项倡议，在联邦合格卫生中心进行能力建设，以(1)改善围产期护理措施的基础设施，(2)使用围产期护理措施来确定和解决产后护理方面的差距。两个合作伙伴健康中心控制的网络实施了将基于证据的建议集成到临床工作流程中的策略，并使用数据驱动的健康信息技术（HIT）系统来改善数据标准化，以改善产后护理服务的质量。制定了十项措施来获取推荐的护理和服务。要支持度量捕获，我们创建了一种数据清理算法,以确定妊娠事件和分娩日期的优先级,并解决数据不一致的问题.针对患者和护理团队量身定制的针对产后护理交付的质量改进活动。数据限制,包括电子健康记录文档和数据提取实践的不一致，强调了将HIT解决方案集成到产后护理工作流程中的复杂性。尽管面临挑战,该项目展示了持续的质量改进，以支持围产期护理措施的数据质量。未来的解决方案强调对标准化数据元素的需求，协作护理团队参与，和迭代HIT实施策略，以提高围产期护理质量。我们的发现强调了HIT驱动的干预措施在改善保健中心产后护理方面的潜力。重点是解决数据互操作性和文档挑战的重要性，以优化和监测改善产后健康结果的举措。
