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Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
Published on: August 25, 2014
Identification and collection of quality indicators for perinatal care
Gautham K Suresh1, Linda A Ferguson, Mark Tomlinson
1Neonatal Division, Medical University of South Carolina, Children's Hospital, Charleston, SC 29425, USA. suresh@musc.edu
Insights
This study details creating a quality indicators database for neonatal intensive care, focusing on best practices for data collection in perinatal care improvement projects.
Area of Science:
- Neonatal Medicine
- Quality Improvement Science
- Health Informatics
Background:
- Developing robust quality indicators for neonatal intensive care is crucial for improving patient outcomes.
- Multi-institutional collaborations are essential for comprehensive quality assessment in perinatal care.
Purpose of the Study:
- To describe the development of a quality indicators and outcomes database for perinatal care.
- To outline key principles for establishing effective healthcare quality databases.
Main Methods:
- Established a multi-institutional collaborative quality improvement project (Neonatal Intensive Care Quality 2002).
- Defined eligibility criteria for high-risk patients to optimize data collection.
- Developed standardized data collection tools and processes, including pilot testing.
Main Results:
- Successfully developed a database of quality indicators and outcomes for perinatal care.
- Identified critical principles for successful database development and implementation.
Conclusions:
- Effective database development requires careful consideration of patient eligibility, measure definition, and data collection systems.
- Periodic data feedback to participating institutions is vital for quality improvement initiatives.
Abstract:
We describe the development of a database of quality indicators and outcomes for perinatal care as part of a multi-institutional collaborative quality improvement project, Neonatal Intensive Care Quality 2002. Important principles of developing such a database are also discussed including eligibility criteria that identify high-risk patients without burdening data collectors, clinically important and well-defined measures, development of systems within each hospital to ensure identification of all eligible patients, use of data collectors with knowledge of perinatal care, appropriate design of paper and electronic data-collection tools, multiple pilot tests, and periodic feedback of data to participating hospitals.
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