Talk Description
447Q - Research Paper
Abstract
Aim:
To provide a structured framework for detecting and managing CKD that will improve the coding of CKD diagnosis in primary care practices.
Method:
In 2023, we undertook a clinical audit program in primary care across Australia. The program introduced a framework to evaluate CKD data and identify improvements for systems. Practices undertook data collection and analysis, CKD education, practice team meetings, and review of associated practice systems. Participants reviewed their practice data 3 times across a 6-month period. Data gaps in CKD diagnosis were highlighted, benchmarked against local data and end point data. The findings were discussed and benchmarked against the other participating practices (anonymously). Participants were given lists of people to review over the 6-month period. Whole of practice quality improvement plans were discussed and implemented to address the CKD diagnosis gaps.
Results:
Across the program 958 new patients were identified as having CKD, this represents an increase in coded diagnosis of 124%. Other results indicate that practice systems such as recall protocols were improved, knowledge and understanding of CKD improved by 60% driving behaviour change in primary care.
Conclusion:
Implementing a formal framework for detection and managing CKD using practice data leads to improvements in coded CKD diagnosis, health practitioner knowledge and understanding of CKD and improved practice systems.
Abstract
Aim:
To provide a structured framework for detecting and managing CKD that will improve the coding of CKD diagnosis in primary care practices.
Method:
In 2023, we undertook a clinical audit program in primary care across Australia. The program introduced a framework to evaluate CKD data and identify improvements for systems. Practices undertook data collection and analysis, CKD education, practice team meetings, and review of associated practice systems. Participants reviewed their practice data 3 times across a 6-month period. Data gaps in CKD diagnosis were highlighted, benchmarked against local data and end point data. The findings were discussed and benchmarked against the other participating practices (anonymously). Participants were given lists of people to review over the 6-month period. Whole of practice quality improvement plans were discussed and implemented to address the CKD diagnosis gaps.
Results:
Across the program 958 new patients were identified as having CKD, this represents an increase in coded diagnosis of 124%. Other results indicate that practice systems such as recall protocols were improved, knowledge and understanding of CKD improved by 60% driving behaviour change in primary care.
Conclusion:
Implementing a formal framework for detection and managing CKD using practice data leads to improvements in coded CKD diagnosis, health practitioner knowledge and understanding of CKD and improved practice systems.