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Positive Deviance to Address Health Equity in Quality and Safety in Obstetrics
Elizabeth A Howell1,2,3, Zainab N Ahmed2,3,4, Shoshanna Sofaer5
1Blavatnik Family Women's Health Research Institute.
Clinical Obstetrics and Gynecology
|June 18, 2019
Summary
This study explores using qualitative methods, like positive deviance, to address racial and ethnic disparities in obstetrical care. It highlights how these approaches can reveal insights missed by quantitative research for improving maternal health equity.
Area of Science:
- Obstetrics and Gynecology
- Health Services Research
- Health Equity
Background:
- Persistent racial and ethnic disparities in obstetrical outcomes underscore a critical gap in maternal healthcare quality and safety.
- Traditional quantitative research methods in obstetrics often fall short in fully capturing the complexities of health inequity.
Purpose of the Study:
- To investigate how obstetrical quality research can transcend purely quantitative approaches to effectively address health inequities.
- To explore the utility of positive deviance and mixed methods in understanding and mitigating racial/ethnic disparities in maternal outcomes.
Main Methods:
- Review of positive deviance and mixed methods applications in other medical fields.
- Analysis of the limitations of quantitative methodologies in obstetrical research.
- Presentation and discussion of qualitative studies conducted within obstetrics to identify novel insights.
Main Results:
- Qualitative studies offer unique insights into the nuanced factors contributing to disparities in obstetrical care.
- Positive deviance and mixed methods approaches demonstrate potential for uncovering actionable knowledge beyond traditional metrics.
Conclusions:
- A mixed methods approach, specifically incorporating positive deviance, is proposed as a powerful strategy for generating new knowledge.
- This approach can effectively address persistent racial and ethnic disparities in maternal health outcomes, promoting greater equity in obstetrical care.
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