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Updated: Oct 17, 2025

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
Published on: February 19, 2021
Are clinicians using routinely collected data to drive practice improvement? A cross-sectional survey
Julie Gawthorne1,2, Oyebola Fasugba2, Chris Levi3
1St Vincent's Hospital Sydney, Victoria Street, Darlinghurst, NSW 2010, Australia.
Australian hospitals
Area of Science:
- Healthcare Quality Improvement
- Clinical Registries
- Health Informatics
Background:
- Clinical registry participation is a key indicator of healthcare quality.
- There is limited understanding of Australian hospitals' engagement with clinical registries and their use in quality improvement.
Purpose of the Study:
- To assess participation in clinical registries across Australian hospitals.
- To determine if registry data are utilized for quality improvement initiatives.
- To identify factors enabling registry participation and educational needs for clinicians to enhance data-driven practice change.
Main Methods:
- A survey was administered to registry coordinators in seven New South Wales hospitals.
- The survey included international, national, and state-based clinical, condition/disease-specific, and device/product registries.
- A 70% response rate was achieved, with 64% of respondents contributing data to 46 registries.
Main Results:
- Registry data were primarily accessed by nurses, with limited visibility to hospital executives.
- Less than half of respondents consistently used registry data for practice improvement or care pathway modifications.
- Protected time for data collection and benchmarking were identified as key facilitators for participation.
- A majority of participants agreed that training in clinical practice improvement and evidence-practice gap identification would optimize data utilization.
Conclusions:
- Clinical registry data are often confined to local units and not systematically leveraged for quality improvement.
- Recommendations include centralized funding, integrated information systems, and education in data-driven improvement science to foster quality initiatives.
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