Stage of Change 4: Convene a Multi-disciplinary Leadership Team

A CKD quality improvement strategy that yields actionable results with desired outcomes requires input and perspective from various healthcare professionals and sources. Following are suggested Team participants and resources to help achieve those objectives.

Broadly define your planning Team.

Consider including representatives from primary care, nephrology, informatics, population health, quality, pharmacy, health equity, nursing, pathology, diabetes care and education specialists, community outreach, dietitians, and others on this team.

 

Primary Care

Resources:

 

Pharmacy

Resources:

 

Pathology

Tools:

  • NKF, Closing the Testing Gap by Implementing the Kidney Profile, a virtual meeting of laboratory, IT, data informatics, and quality improvement leaders that highlights successful strategies for implementation, discusses and trouble shoots challenges, and identifies strategies to ensure the Kidney Profile is utilized by clinicians once it is implemented

Resources:

  • NKF, Laboratory Engagement Initiative, developed by clinical laboratorians and physicians, this overviews guideline-concordant testing for CKD diagnosis and management as well as resources for patients and healthcare professionals.

 

Informatics

Tools:

  • PheKB, Chronic Kidney Disease, the Phenotype KnowledgeBase resource for those interested in using data algorithms to enhance genomic and clinical research including that for CKD.

Resources:

 

Community Outreach/Community Health Workers

Tools:

  • NKF, Community Health Workers, a resource that advances Community Health Workers and their role in connecting patients to health care resources via identification, prevention, and risk management associated with CKD.

Review population health data to identify care improvement opportunities.

Screening and Diagnosis:

  • Electronic Health Record (EHR) and/or claims data to determine rates of guideline-concordant CKD testing (eGFR and uACR) among patients with hypertension and/or diabetes
  • Available EHR laboratory data to assess rates of CKD diagnosis among patients with hypertension and/or diabetes and existing laboratory evidence of CKD
  • Available EHR laboratory data to determine rates of CKD testing (eGFR and uACR) among patients with a CKD ICD-10 code in their medical record (e.g., BMP with eGFR results <60 mL/min/1.73m2)
  • Annual CKD testing (eGFR and uACR) and risk stratification in at-risk populations—those with diabetes and/or hypertension and/or other risk factors

A1C and/or Blood Pressure Goal Attainment:

  • Percentage of patients with CKD and diabetes with A1C within recommended range
  • Percentage of patients with CKD whose blood pressure is within recommended range

Preventing CKD Progression and/or Reduce Cardiovascular Risk:

  • Percentage of patients with CKD and Type 2 Diabetes prescribed GLP-1 RAs
  • Percentage of patients with diabetes and/or hypertension on problem list/encounter with a uACR ≥ 30 who were prescribed an ACE inhibitor or ARB medication
  • Percentage of patients with Type 2 Diabetes and CKD on problem or encounter list with an eGFR ≥ 20 who were prescribed an SGLT2i medication
  • Percentage of patients with Type 2 Diabetes and CKD on problem or encounter list with an eGFR ≥ 25 and uACR ≥ 30 who were prescribed a non-steroidal MRA medication
  • Percentage of individuals aged 18 years and older with a diagnosis of CKD who were prescribed select SGLT2i therapy within a 12-month period
  • Percentage of individuals with heart failure, Type 2 diabetes/atherosclerotic cardiovascular disease and CKD prescribed select SGLT2i therapy within a 12-month period

Tools:

Build consensus on evidence-based, guideline-driven interventions/quality metrics.

Consider evaluation and selection of interventions/quality metrics on the basis of what is appropriate for clinic locations, patient panels, resources, and workflows.

 

Identify evidence-based recommendations and guidelines that support CKD recognition and implementation of interdisciplinary patient care for CKD

Tools:

 

Annual CKD testing (eGFR and uACR) and risk stratification in at-risk populations—those with diabetes and/or hypertension and/or other risk factors

Tools:

 

Attainment of blood pressure target

Tools:

 

Attainment of A1c target

Tools:

 

Use of ACE Inhibitor or Angiotensin Receptor Blocker in patients with diabetic kidney disease, CKD and HTN, and/or CKD and uACR > 30 where tolerated and appropriate

Tools:

 

Use of an SGLT-2i in patients with CKD and eGFR >20 where tolerated and appropriate

Tools:

 

Use of Statins

Tools:

 

Use of Non-steroidal Mineralocorticoid Receptor Antagonist (ns-MRA) in patients with Type 2 diabetes, normokalaemia, and residual albuminuria despite other standard-of-care therapies.

Tools:

 

Use of long-acting GLP-1 Receptor Agonist in patients with Type 2 diabetes not meeting glycemic targets despite first-line SGLT2 inhibitor ± metformin, ideally one with proven CVD benefit

Tools:

 

Medical nutrition therapy referral

Tools:

 

NSAIDs avoidance

Tools:

Resources:

 

Use of a risk prediction model (i.e., the Kidney Failure Risk Equation)

Tools:

Resources:

Prioritize social determinants of health and CKD care disparities within the program.

Tools:

Resources:

Characterize the impact of social determinants of health within geographies considered for your program.

Tools:

  • Agency for Healthcare Research and Quality (AHRQ), SDOH Data and Analytics, provides access to various datasets and tools for SDOH analysis
  • PRAPARE, Protocol for Responding to and Assessing Patients' Assets, Risks, and Experiences, The PRAPARE Screening Tool, a national standardized patient risk assessment tool to engage patients in assessing and addressing social drivers of health (SDOH).
  • Confluence HL7.org, 2019, The Gravity Project, a collaborative public-private initiative launched in 2019 to develop consensus-driven data standards that support collection, use, and exchange of data to address the social determinants of health (SDOH).
  • U.S. Department of Health and Human Services, National Institutes of Health, PhenX Social Determinants of Health (SDOH) Assessments Collection, catalog of recommended data measurement protocols to assess individual and structural factors that shape behaviors and health outcomes.

Resources:

  • Social Interventions Research & Evaluation Network (Siren), 2022, SCREEN Report: State of the Science on Social Screening in Healthcare Settings, aims to improve health and health equity by advancing high quality research on health care sector strategies to improve social conditions(64)
  • UNITE US, Cross-sector collaboration software to assist providers, health plans, government, and non-profits in identifying and delivering solutions and services that impact whole-person health.

Clearly communicate collaboration parameters between primary care and nephrology as determined by your Team.

Tools:

Identify an implementation framework to assess implementation strategies/associated interventions and their outcomes.

Below are some widely used implementation frameworks for consideration.

Tools:

Resources:

We're here to help!

We can offer practical support on Change Package implementation, as well as provide more information about NKF's resources and initiatives.

References

  • 6. Kidney Disease: Improving Global Outcomes (KDIGO) Diabetes Work Group. KDIGO 2022 clinical practice guideline for diabetes management in chronic kidney disease. Kidney Int. 2022 Nov;102(5S):S1-S127.
  • 19. Vassalotti JA, Centor, Turner BJ et al. Practical approach to detection and management of chronic kidney disease for the primary care clinician. Am J Med 2016 Feb;129(2):153-162.e7.
  • 25. Inker LA, Astor BC, Fox CH et al. KDOQI US commentary on the 2012 KDIGO clinical practice guideline for the evaluation and management of CKD. Am J Kidney Dis. 2014;63(5):713-735.
  • 39. Tuot DS and Powe NR. Chronic kidney disease in primary care: an opportunity for generalists. J Gen Intern Med 2011 Feb; 26(4):356–8.
  • 40. Neumiller JJ, Shubrook JH, Manley T et al. Optimizing use of SGLT2 inhibitors and other evidence-based therapies to improve outcomes in patients with type 2 diabetes and chronic kidney disease: An opportunity for pharmacists. Am J Health Syst Pharm. 2022 Jan 1;79(1):e65-e70.
  • 41. Strand MA, DiPietro MNA, Hall L et al. Pharmacy contributions to improved population health: expanding the public health roundtable. Prev Chronic Dis 2020 17:200350.
  • 42. Norton JM, Kaltun A, Jurkovitz CT et al. Development and validation of a pragmatic electronic phenotype for CKD. Clin J Am Soc Nephrol. 2019 Sep 6;14(9):1306-1314.
  • 43. Shang N, Khan A, Polubriaginof F et al. Medical records- based chronic kidney disease phenotype for clinical care and “big data” observational and genetic studies. npj Digital Medicine 2021 4:70.
  • 44. van der Scheer JW, Woodward M, Ansari A et al. How to specify healthcare process improvements collaboratively using rapid, remote consensus-building: a framework and a case study of its application. BMC Med Res Methodol. 2021 21:103:1-16.
  • 45. Moise N, Cene CW, Tabak RG et al. Leveraging implementation science for cardiovascular health equity: a scientific statement from the American Heart Association. Circulation. 2022;146:e260–e278.
  • 46. ElSayed NA, Allepo G, Aroda VR et al. 11. Chronic kidney disease and risk management: standards of care in diabetes—2023. Diabetes Care 2023;46(Supplement_1):S191–S202.
  • 47. Inker LA, Astor BC, Fox CH et al. KDOQI US Commentary on the 2012 KDIGO Clinical Practice Guideline for the Evaluation and Management of CKD. Am J Kidney Dis. 2014;63(5):713-735.
  • 48. Handelsman Y, Anderson JE, Bakris G et al. DCRM Multispecialty Practice Recommendations for the management of diabetes, cardiorenal, and metabolic diseases. J Diabetes Complications. 2022;36(2):1-22.
  • 49. Navaneethan SD, Zoungas S, Caramori ML et al. Diabetes management in chronic kidney disease: synopsis of the KDIGO 2022 clinical practice guideline update. Ann Intern Med. 2023;176:381-387.
  • 50. KDIGO 2021 Clinical Practice Guideline for the Management of Blood Pressure in Chronic Kidney Disease. Kidney Int. 2021 99:S1–S87.
  • 51. Taler SJ, Afarwal R, Bakris GL et al. KDOQI US commentary on the 2012 KDIGO clinical practice guideline for management of blood pressure in CKD. Am J Kidney Dis. 2013; Aug; 62(2):201–213.
  • 52. de Boer IH, Khunti K, Sadusky T, et al. Diabetes management in chronic kidney disease: a consensus report by the American Diabetes Association (ADA) and Kidney Disease: Improving Global Outcomes (KDIGO). Kidney Int. 2022 Nov;102(5):974-989.
  • 53. Yau K, Dharia A, Alrowiyti I et al. Prescribing SGLT2 inhibitors in patients with CKD: expanding indications and practical considerations. Kidney Int Rep (2022) 7:1463–1476.
  • 54. Tuttle KR, Brosius FC, Cavender, MA et al. SGLT2 inhibition for CKD and cardiovascular disease in type 2 diabetes: report of a scientific workshop sponsored by the National Kidney Foundation. Am J Kidney Dis. 2021 Jan;77(1):94-109.
  • 55. Arnett DK, Blumenthal RS, Albert MA et al. 2019 ACC/AHA guideline on the primary prevention of cardiovascular disease: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol. 2019 Sep, 74 (10) e177–e232.
  • 56. Wanner C, Tonelli M and the Kidney Disease: Improving Global Outcomes (KDIGO) Lipid Guideline Development Work Group Members KDIGO Clinical Practice Guideline for Lipid Management in CKD: summary of recommendation statements and clinical approach to the patient. Kidney Int. (2014) 85, 1303–1309.
  • 57. Ikizler TA, Burrowes JD, Byham-Gray LD et al. KDOQI clinical practice guideline for nutrition in CKD: 2020. Am J Kidney Dis. 2020;76(3)(suppl 1):S1-S107.
  • 58. Pai AB. Keeping kidneys safe: The pharmacist’s role in NSAID avoidance in high-risk patients. J Am Pharm Assoc (2003). 2015 Jan-Feb;55(1):e15-23.update. 
  • 59. Keohane DM, Dennehy T, Keohane KP et al. Reducing inappropriate non-steroidal anti-inflammatory prescription in primary care patients with chronic kidney disease. Int J Health Care Qual Assur. 2017 Aug 14;30(7):638-644.
  • 60. Baker M and Perazella MA. NSAIDs in CKD: are they safe? Am J Kidney Dis. 2020 Oct;76(4):546-557.
  • 61. Plantinga L, Grubbs V, Sarkar U et al. Nonsteroidal anti-inflammatory drug use among persons with chronic kidney disease in the United States. Ann Fam Med. 2011 Sep-Oct;9(5):423-30.
  • 62. Tuot DS, Plantinga LC, Judd SE et al. Healthy behaviors, risk factor control and awareness of chronic kidney disease. Am J Nephrol (2013) 37 (2): 135–143.
  • 63. Tangri N, Stevens LA, Griffith J et al. A predictive model for progression of chronic kidney disease to kidney failure. JAMA 2011 Apr 20;305(15):1553-9.
  • 64. EH De Marchis, Brown E, Aceves BA et al. SCREEN Report: state of the science executive summary on social screening in healthcare settings. Summer 2022.
  • 66. Chronic Kidney Disease Prevention, Early Recognition, and Management. Department of Veterans Affairs, Veterans Health Administration, Washington, DC 20420. March 17, 2020.
  • 67. Moulin JC, Dickson KS, Stadnick NA et al. Ten recommendations for using implementation frameworks in research and practice. Implement Sci Commun. 2020 1:42.
  • 68. Kaplan HC and Walsh KE. Context in implementation science. Pediatrics 2022 (149);Supplement 3.
  • 70. Damschroder LJ, Reardon CM, Opra Widerquist MA et al. The updated consolidated framework for implementation research based on user feedback. Implement Sci. 2022 Oct 29: 2-16.