Date of Award
2021
Embargo Period
8-1-2024
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
College
College of Nursing
First Advisor
Lynne Nemeth
Second Advisor
Teresa Kelechi
Third Advisor
Kenneth Catchpole
Abstract
The United States has the worst maternal morbidity and mortality in the developed world, with a maternal death rate of 17.3/100,000 live births. Efforts to improve this have not been fruitful. This dissertation suggests that future research with a patient safety focus and human factors framework may improve our understanding of this multifactorial problem and identify new potential solutions for improving this devastating crisis. The first manuscript is a scoping review discussing the use of trigger tools to identify women in labor in need of care escalation. The second manuscript is a realist review describing current approaches to the problem of obstetric failure to rescue. The third manuscript details a convergent parallel mixed methods study looking at the systems-level factors affecting nurses who are caring for women in labor and makes recommendations for systems changes with the potential to improve outcomes.
Recommended Citation
Bernstein, Samantha, "Using the SEIPS Framework to Understand Systems-Level Factors Affecting Obstetric Nurse Decision Making: A Convergent Parallel Mixed Methods Study" (2021). MUSC Theses and Dissertations. 646.
https://medica-musc.researchcommons.org/theses/646
Rights
All rights reserved. Copyright is held by the author.