Background Shared decision‐making (SDM) may improve communication, teamwork, patient experience, respectful maternity care, and safety during childbirth. Despite these benefits, SDM is not widely implemented, and strategies for implementing SDM interventions are not well described. We assessed the acceptability and feasibility of TeamBirth, an SDM solution that centers the birthing person in decision‐making through simple tools that structure communication among the care team. We identified and described implementation strategies that bridge the gap between knowledge and practice. Methods We conducted a qualitative study among four hospitals in the United States to understand the acceptability and feasibility of TeamBirth. We interviewed 103 clinicians and conducted 16 focus group discussions with 52 implementers between June 2018 and October 2019. We drew on the Consolidated Framework for Implementation Research to understand acceptability and feasibility, and to identify and describe the underlying contextual factors that affected implementation. Results We found that clinicians and implementers valued TeamBirth for promoting clarity about care plans among the direct care team and for centering the birthing person in decision‐making. Contextual factors that affected implementation included strength of leadership, physician practice models, and quality improvement culture. Effective implementation strategies included regular data feedback and adapting “flexible” components of TeamBirth to the local context. Discussion By identifying and describing TeamBirth's contextual factors and implementation strategies, our findings can help bridge the implementation gap of SDM interventions. Our in‐depth analysis offers tangible lessons for other labor and delivery unit leaders as they seek to integrate SDM practices in their own settings.
Many severe maternal morbidities (SMMs) are preventable, and understanding circumstances in which complications occur is crucial. The objective was to evaluate a framework for SMM benchmarking and quality improvement opportunities. Building upon metrics defined by the Centers for Disease Control and Prevention on the basis of an inpatient sample, analysis included indicators across 5 domains (Hemorrhage/Transfusion, Preeclampsia/Eclampsia, Cardiovascular, Sepsis, and Thromboembolism/Cerebrovascular). Morbidity rates per 10 000 deliveries were calculated using de-identified administrative claims in commercially insured women in the United States. Longitudinal data linked inpatient delivery episodes and 6-week postpartum period, and SMMs were assessed for present on admission and geographic variation. This retrospective analysis of 356 838 deliveries identified geographic variation in SMMs. For example, hemorrhage rates per 10 000 varied 3-fold across states from 279.7 in Alabama to 964.69 in Oregon.
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