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The cycle of development, publication, and implementation of clinical practice guidelines for CKD
Insights
Clinical practice guidelines (CPGs) improve patient outcomes. For chronic kidney disease (CKD), automatic reporting of estimated glomerular filtration rate (eGFR) with decision support is crucial for guideline implementation.
Area of Science:
- Nephrology
- Clinical Practice Guidelines
- Health Informatics
Background:
- Clinical practice guidelines (CPGs) are essential for improving patient care and outcomes.
- The Kidney Disease Outcomes Quality Initiative (KDOQI) developed guidelines for chronic kidney disease (CKD).
- Early CKD guidelines recommended using estimated glomerular filtration rate (eGFR) over creatinine clearance to assess kidney function.
Purpose of the Study:
- To evaluate the implementation of the first K/DOQI CKD guideline recommendation.
- To determine the necessity of automatic eGFR reporting with clinical decision support for guideline adoption.
- To inform the ongoing development and implementation of future CKD CPGs.
Main Methods:
- The study analyzed the implementation process of the K/DOQI guideline for CKD.
- It focused on the role of automatic reporting of eGFR in clinical workflows.
- Clinical decision support systems integrated with eGFR reporting were examined.
Main Results:
- Automatic reporting of eGFR, coupled with clinical decision support, was demonstrated to be essential for the successful implementation of the CKD guideline.
- This approach facilitated the shift from 24-h urine collections to eGFR for kidney function assessment.
- The findings highlight a key factor for effective CPG dissemination.
Conclusions:
- The integration of technology, specifically automated eGFR reporting and decision support, is critical for translating clinical guidelines into practice.
- Successful implementation of CKD guidelines relies on robust health informatics infrastructure.
- Lessons learned are vital for the current cycle of CKD CPG development and implementation.
Abstract:
Implementation of clinical practice guidelines (CPGs) leads to better outcomes. The first K/DOQI guideline for chronic kidney disease (CKD) recommended the use of estimated glomerular filtration rate (eGFR) to assess kidney function, minimizing 24-h urine collections for the measurement of creatinine clearance. Kagoma et al. demonstrate that automatic reporting of eGFR with clinical decision support was required for implementation of this recommendation. The second cycle of development, publication, and implementation of CPGs for CKD is under way.
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