Impacting the Trajectory of Chronic Kidney Disease With ARPN-Led Renal Teams.

Nurs Adm Q

Office of Nursing Services (Dr Lucatorto) and Office of Nursing Service Metabolic Syndrome & Diabetes Field Advisory Committee (Dr Watts), Veterans Healthcare Administration, Washington, District of Columbia; Georgetown University, Washington, District of Columbia (Dr Lucatorto); Louis Stokes Cleveland VA, GRECC Center, Cleveland, Ohio (Drs Watts, Kresevic, and Burant); Veterans Healthcare Administration VISN 10 GRECC, GRECC Statistical Resource Center, Cleveland, Ohio (Dr Kresevic and Dr Burant); Frances Payne Bolton School of Nursing, Case Western Reserve University (Dr Burant); and Veterans Health Care System of the Ozarks, Fayetteville, Arkansas (Dr Carney).

Published: January 2017

Health care reform demands improvements in population health and the patient experience while reducing costs. This demand is referred to as The Triple Aim of Improvement. A sense of urgency must be created for development of new models of care that impact outcomes earlier in the disease process. One new model of care addressing the triple aim is the Advanced Practice Registered Nurse (APRN)-Led Specialty Care Team. APRN-Led Specialty Care Team members engage patients and implement evidence at a point in the disease trajectory that is most likely to influence population outcomes, resources, and cost. In the pilot described in this article, a nurse practitioner, a registered nurse, a licensed practice nurse, a registered nurse certified diabetes educator, a registered dietitian, and a clinical pharmacist provided care to 20 patients with diabetes and chronic kidney disease, using the chronic disease trajectory model. The team was trained and supported through virtual technology and chronic kidney disease clinical decision-making tools. This APRN-Led Renal Specialty Care Team was embedded into primary care, using group appointments with nephrology support. Lessons learned regarding implementation, with a focus on the role of the nursing executive, are presented along with recommendations for future implementation.

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http://dx.doi.org/10.1097/NAQ.0000000000000148DOI Listing

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