Brenda R Hemmelgarn1,2,3, Michelle D Smekal2, Robert G Weaver2, Chandra Thomas2, Eleanor Benterud2, Kin Tam2, Braden J Manns1,2,3, Marcello Tonelli1,2,3, Juli Finlay2, Maoliosa Donald1,2, Helen Tam-Tham1, Aminu Bello3,4, Navdeep Tangri5,6,7, Robert R Quinn1,2. 1. Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Alberta, Canada. 2. Department of Medicine, Cumming School of Medicine, University of Calgary, Alberta, Canada. 3. Interdisciplinary Chronic Disease Collaboration, Calgary, Alberta, Canada. 4. Department of Medicine, University of Alberta, Edmonton, Alberta, Canada. 5. Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada. 6. Department of Internal Medicine, University of Manitoba, Winnipeg, Canada. 7. Chronic Disease Innovation Centre, Seven Oaks General Hospital, Winnipeg, Manitoba, Canada.
Abstract
BACKGROUND: Risk prediction tools are used in a variety of clinical settings to guide patient care, although their use in chronic kidney disease (CKD) care is limited. OBJECTIVES: To assess the association of a risk-based model of CKD care on patient care, satisfaction, outcomes, and cost. DESIGN: Mixed-methods with a pre-post design. SETTING: We will use mixed-methods and a pre-post design to evaluate use of the Kidney Failure Risk Equation (KFRE) to guide CKD care. The KFRE will be applied to patients currently followed in nephrology multidisciplinary CKD clinics in Alberta, as well as to new patients being considered for multidisciplinary care. PATIENTS: Patients with a 2-year risk of kidney failure ≥10% or estimated glomerular filtration rate (eGFR) ≤15 mL/min/1.73 m2 will be recommended care by a multidisciplinary team coordinated by a nurse clinician and nephrologist, with access to other multidisciplinary resources including dietitians, pharmacists, and social workers as required. MEASUREMENTS/ METHODS: Focus groups and interviews will be conducted to qualitatively describe patient and provider perspectives of potential barriers and facilitators to implementation of the risk-based approach to CKD care. Patient and provider surveys will also be used to quantify patient and provider satisfaction before and after the intervention. Finally, administrative data will be used to evaluate the association between the risk-based approach to care and outcomes including health care resource use, frequency of testing, modality choice, and death. CONCLUSIONS: Use of a risk-based model of care has the potential to increase use of optimal treatments such as the use of home dialysis and preemptive kidney transplantation, while reducing costs and poor outcomes related to processes of care such as unnecessary laboratory testing; however, there is also potential for unintended consequences. Our mixed-methods approach will integrate perceptions and needs from key stakeholders (including patients with CKD, their families, and their providers) to guide implementation and ensure appropriate modifications.
BACKGROUND: Risk prediction tools are used in a variety of clinical settings to guide patient care, although their use in chronic kidney disease (CKD) care is limited. OBJECTIVES: To assess the association of a risk-based model of CKD care on patient care, satisfaction, outcomes, and cost. DESIGN: Mixed-methods with a pre-post design. SETTING: We will use mixed-methods and a pre-post design to evaluate use of the Kidney Failure Risk Equation (KFRE) to guide CKD care. The KFRE will be applied to patients currently followed in nephrology multidisciplinary CKD clinics in Alberta, as well as to new patients being considered for multidisciplinary care. PATIENTS: Patients with a 2-year risk of kidney failure ≥10% or estimated glomerular filtration rate (eGFR) ≤15 mL/min/1.73 m2 will be recommended care by a multidisciplinary team coordinated by a nurse clinician and nephrologist, with access to other multidisciplinary resources including dietitians, pharmacists, and social workers as required. MEASUREMENTS/ METHODS: Focus groups and interviews will be conducted to qualitatively describe patient and provider perspectives of potential barriers and facilitators to implementation of the risk-based approach to CKD care. Patient and provider surveys will also be used to quantify patient and provider satisfaction before and after the intervention. Finally, administrative data will be used to evaluate the association between the risk-based approach to care and outcomes including health care resource use, frequency of testing, modality choice, and death. CONCLUSIONS: Use of a risk-based model of care has the potential to increase use of optimal treatments such as the use of home dialysis and preemptive kidney transplantation, while reducing costs and poor outcomes related to processes of care such as unnecessary laboratory testing; however, there is also potential for unintended consequences. Our mixed-methods approach will integrate perceptions and needs from key stakeholders (including patients with CKD, their families, and their providers) to guide implementation and ensure appropriate modifications.
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