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Measuring quality in maternal-newborn care: developing a clinical dashboard
Ann E Sprague1, Sandra I Dunn, Deshayne B Fell
1Better Outcomes Registry and Network (BORN) Ontario, Ottawa ON.
Journal of Obstetrics and Gynaecology Canada : JOGC = Journal D'Obstetrique Et Gynecologie Du Canada : JOGC
|January 25, 2013
Summary
Developing a maternal-newborn dashboard with key performance indicators (KPIs) helps improve care quality. This tool provides automated audit and feedback to support quality improvement initiatives for better maternal and newborn health outcomes.
Area of Science:
- Healthcare Quality Improvement
- Maternal-Newborn Health Systems
Background:
- High healthcare utilization occurs during pregnancy, birth, and the newborn period.
- Lack of defined quality metrics leads to missed health promotion opportunities, safety concerns, and increased costs.
Purpose of the Study:
- To identify key performance indicators (KPIs) for measuring quality in provincial maternal-newborn care.
- To develop an automated audit and feedback system for quality improvement initiatives.
- To create a maternal-newborn dashboard for awareness and support.
Main Methods:
- Mapped maternal-newborn data elements to a quality domain framework.
- Collected feedback on KPI relevance and feasibility via surveys.
- Set provincial benchmarks using current data and literature review.
Main Results:
- Identified six clinical performance indicators for maternal-newborn quality care.
- Established evidence-informed provincial benchmarks.
- Developed a maternal-newborn dashboard with "drill-down" capabilities for audit and feedback.
Conclusions:
- The maternal-newborn dashboard facilitates audit and feedback for quality improvement.
- Awareness of KPIs and performance is a crucial first step for practice change.
- Implementation of the dashboard supports targeted quality improvement in maternal-newborn care.
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