Korst Lisa M, Fridman Moshe, Estarziau Melanie, Gregory Kimberly D, Mitchell Connie
Childbirth Research Associates, North Hollywood, CA, USA.
AMF Consulting, Los Angeles, CA, USA.
Matern Child Health J. 2015 Oct;19(10):2128-37. doi: 10.1007/s10995-015-1725-y.
The tracking of elective deliveries (ED) prior to 39 gestational weeks has become a mandatory requirement for all hospitals with ≥1,100 deliveries for accreditation by The Joint Commission (TJC); however, the feasibility and accuracy of monitoring efforts remain problematic for many hospitals. Here, we evaluated the feasibility of three operational approaches to tracking ED. We used mixed methods to evaluate the feasibility of 3 different approaches to tracking ED: (1) using administrative data, (2) using electronic medical record (EMR) data, and (3) using targeted data collection in a county-wide quality improvement (QI) effort. For (1), we analyzed data from the California 2009 linked birth cohort dataset, and calculated hospital rates of ED using TJC technical specifications. For (2), we performed a case study of a project that recruited hospitals to provide EMR data for the TJC measure calculation. For (3), we performed a case study of a project that recruited hospitals to prospectively track elective inductions of labor. For (1), hospital discharge data were insufficient without supplementation from the EMR or birth certificate. For (2), legal and operational issues surrounding data sharing, and non-standardized data elements prohibited hospital participation. For (3), the QI approach successfully established policies and data collection systems yet lacked infrastructure to assure sustainability at a hospital or regional level. In summary, ED tracking required the coordination and support of multiple resources to enable hospitals to satisfactorily report on this measure.
对孕39周前的择期分娩(ED)进行追踪,已成为所有年分娩量≥1100例的医院通过联合委员会(TJC)认证的一项强制性要求;然而,对许多医院来说,监测工作的可行性和准确性仍然存在问题。在此,我们评估了三种追踪ED的操作方法的可行性。我们采用混合方法评估了3种不同的ED追踪方法的可行性:(1)使用行政数据,(2)使用电子病历(EMR)数据,以及(3)在全县范围的质量改进(QI)工作中使用目标数据收集。对于(1),我们分析了来自加利福尼亚2009年关联出生队列数据集的数据,并根据TJC技术规范计算了医院的ED率。对于(2),我们对一个招募医院提供EMR数据用于TJC指标计算的项目进行了案例研究。对于(3),我们对一个招募医院前瞻性追踪择期引产的项目进行了案例研究。对于(1),若无EMR或出生证明的补充,医院出院数据并不充足。对于(2),围绕数据共享的法律和操作问题,以及非标准化的数据元素阻碍了医院的参与。对于(3),QI方法成功建立了政策和数据收集系统,但缺乏在医院或区域层面确保可持续性的基础设施。总之,ED追踪需要多种资源的协调和支持,以使医院能够令人满意地报告这一指标。