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Bridging the Gap: Reimagining Quality Improvement to Address Healthcare Disparities
Christina Davidson1, Jamie Morgan2, Catherine Eppes3
1Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Baylor College of Medicine, Obstetrics and Gynecology, Texas Children's Hospital, TX, USA.
Bundles and collaboratives can reduce maternal morbidity and racial disparities when equity is central. Disaggregating data by race, ethnicity, and language helps target interventions to address inequities.
Area of Science:
- Maternal health
- Health equity
- Healthcare disparities
Background:
- Maternal morbidity and racial disparities persist in healthcare.
- Bundles and collaboratives show potential for improvement.
- Intentional equity embedding is crucial for success.
Purpose of the Study:
- To examine the role of equity in bundles and collaboratives for reducing maternal morbidity and racial disparities.
- To highlight the importance of data disaggregation for identifying and targeting inequities.
Main Methods:
- Review of national frameworks and successful statewide implementations.
- Analysis of data disaggregation strategies by race, ethnicity, and language.
- Focus on perinatal quality collaboratives and patient safety bundles.
Main Results:
- Bundles and collaboratives are effective when equity is intentionally integrated.
- Data disaggregation by race, ethnicity, and language effectively identifies disparities.
- Targeted interventions based on disaggregated data can address inequities.
Conclusions:
- Equity-focused design and implementation are essential for bundles and collaboratives.
- Data disaggregation is a key tool for achieving health equity in maternal care.
- Successful models exist for reducing racial and ethnic disparities in maternal health outcomes.
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