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Process Metrics and Outcomes to Inform Quality Improvement in Pediatric Hospital Medicine
1University of Washington, Seattle Children's Research Institute, 2001 8th Avenue, Suite 400, Seattle, WA 98121, USA.
Insights
This article guides pediatric hospital quality improvement by detailing how to select, develop, and use process and outcome measures. It offers resources and methods for effective data collection and results dissemination.
Area of Science:
- Pediatric Hospital Medicine
- Quality Improvement Science
- Healthcare Analytics
Background:
- Quality improvement (QI) initiatives are crucial in pediatric hospital medicine.
- Effective QI requires robust process and outcome measures.
- Existing measures and development strategies need clear guidance.
Purpose of the Study:
- To provide an overview of selecting, developing, and using measures for pediatric hospital QI.
- To review measure categories, sources, and development blueprints.
- To discuss data collection methods and results dissemination.
Main Methods:
- Literature review of common measure categories and repositories.
- Presentation of a blueprint for novel measure development.
- Discussion of data collection methods (medical record abstraction, administrative data, surveys).
Main Results:
- Categorization of common process and outcome measures.
- Identification of resources for validated measures.
- Guidance on developing new measures and disseminating QI findings.
Conclusions:
- Standardized selection and development of measures enhance pediatric hospital QI.
- Appropriate data collection and dissemination are key to successful QI initiatives.
- This article serves as a practical guide for healthcare professionals.
Abstract:
This article provides an overview of the selection, development, and use of process and outcome measures for pediatric hospital medicine quality improvement initiatives. It reviews commonly used categories of process and outcome measures and provides a list of common sources and repositories of previously validated measures. It also provides a blueprint for the development of novel measures. The relative merits of various data collection methods are discussed (eg, medical record abstraction, administrative, surveys), along with guiding principles for disseminating the results of quality improvement evaluations on a local and national level.
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