Background Postpartum hemorrhage (PPH) is a leading cause of preventable maternal morbidity and mortality. Standardized response to obstetric hemorrhage is associated with significant improvement in maternal outcomes, yet implementation can be challenging. Objective The primary objective is to describe the methodology for program implementation of the Alliance for Innovation on Maternal Health Safety Bundle on PPH at an urban safety-net hospital. Methods Over an 18-month period, interventions geared toward (1) risk assessment and stratification, (2) hemorrhage identification and management, (3) team communication and simulation, and (4) debriefs and case review were implemented. Hemorrhage risk assessment stratification rates were tracked overtime as an early measure of bundle compliance. Results Hemorrhage risk assessment stratification rates improved to >90% during bundle implementation. Conclusion Keys to implementation included multidisciplinary stakeholder commitment, stepwise and iterative approach, and parallel systems for monitoring and evaluation Implementation of a PPH safety bundle is feasible in a resource-constrained setting.

Background--With the recent implementation of the Medicare Quality Payment Program, providers face increasing accountability for delivering high-quality care. Such pay-for-performance programs aim to leverage systematic data captured by electronic health record (EHR) systems to measure performance; however, the fidelity of EHR query for assessing performance has not been validated compared with manual chart review. We sought to determine whether our institution's methodology of EHR query could accurately identify cases in which providers failed to prescribe statins for eligible patients with coronary artery disease. Methods and Results--A total of 9459 patients with coronary artery disease were seen at least twice at the Emory Clinic between July 2014 and June 2015, of whom 1338 (14.1%, 95% confidence interval 13.5-14.9%) had no statin prescription or exemption per EHR query. A total of 120 patient cases were randomly selected and reviewed by 2 physicians for further adjudication. Of the 120 cases initially classified as statin prescription failures, only 21 (17.5%; 95% confidence interval, 11.7-25.3%) represented true failure following physician review. Conclusions--Sole reliance on EHR data query to measure quality metrics may lead to significant errors in assessing provider performance. Institutions should be cognizant of these potential sources of error, provide support to medical providers, and form collaborative data management teams to promote and improve meaningful use of EHRs. We propose actionable steps to improve the accuracy of EHR data query that require hypothesis testing and prospective validation in future studies.