This paper is in the following e-collection/theme issue:

Usage Data and Process Outcomes in eHealth Trials (56) Clinical Information and Decision Making (1457) Decision Support for Health Professionals (1224)

Published on in Vol 8, No 6 (2019): June

A Pragmatic Cluster Randomized Trial of an Electronic Clinical Decision Support System to Improve Chronic Kidney Disease Management in Primary Care: Design, Rationale, and Implementation Experience

A Pragmatic Cluster Randomized Trial of an Electronic Clinical Decision Support System to Improve Chronic Kidney Disease Management in Primary Care: Design, Rationale, and Implementation Experience

A Pragmatic Cluster Randomized Trial of an Electronic Clinical Decision Support System to Improve Chronic Kidney Disease Management in Primary Care: Design, Rationale, and Implementation Experience

Authors of this article:

Elaine C Khoong1 Author Orcid Image ;   Leah Karliner2, 3 Author Orcid Image ;   Lowell Lo4 Author Orcid Image ;   Marilyn Stebbins5 Author Orcid Image ;   Andrew Robinson6 Author Orcid Image ;   Sarita Pathak2, 3 Author Orcid Image ;   Jasmine Santoyo-Olsson2 Author Orcid Image ;   Rebecca Scherzer7 Author Orcid Image ;   Carmen A Peralta4, 7, 8 Author Orcid Image
Article Authors Cited by (10) Tweetations (4) Metrics

Journals

  1. Cao J, Singh K. Integrating risk prediction models into chronic kidney disease care. Current Opinion in Nephrology and Hypertension 2020;29(3):339 View
  2. Kaiser P, Pipitone O, Franklin A, Jackson D, Moore E, Dubuque C, Peralta C, De Mory A. A Virtual Multidisciplinary Care Program for Management of Advanced Chronic Kidney Disease: Matched Cohort Study. Journal of Medical Internet Research 2020;22(2):e17194 View
  3. Peralta C, Livaudais-Toman J, Stebbins M, Lo L, Robinson A, Pathak S, Scherzer R, Karliner L. Electronic Decision Support for Management of CKD in Primary Care: A Pragmatic Randomized Trial. American Journal of Kidney Diseases 2020;76(5):636 View
  4. Foti K, Chang A. CKD Management in Primary Care: Supporting Systems Change. American Journal of Kidney Diseases 2020;76(5):613 View
  5. Lee T, Shah N, Haack A, Baxter S. Clinical Implementation of Predictive Models Embedded within Electronic Health Record Systems: A Systematic Review. Informatics 2020;7(3):25 View
  6. Christofides E, Desai N. Optimal Early Diagnosis and Monitoring of Diabetic Kidney Disease in Type 2 Diabetes Mellitus: Addressing the Barriers to Albuminuria Testing. Journal of Primary Care & Community Health 2021;12 View
  7. Taylor D, Nimmo A, Caskey F, Johnson R, Pippias M, Melendez-Torres G. Complex Interventions Across Primary and Secondary Care to Optimize Population Kidney Health. Clinical Journal of the American Society of Nephrology 2023;18(5):563 View
  8. Kotsis F, Bächle H, Altenbuchinger M, Dönitz J, Njipouombe Nsangou Y, Meiselbach H, Kosch R, Salloch S, Bratan T, Zacharias H, Schultheiss U. Expectation of clinical decision support systems: a survey study among nephrologist end-users. BMC Medical Informatics and Decision Making 2023;23(1) View
  9. Picow E. Improving the identification and management of diabetic nephropathy in patients with diabetes in primary care. Journal of the American Association of Nurse Practitioners 2023;35(11):740 View
  10. Bhave N, Han Y, Steffick D, Bragg-Gresham J, Zivin K, Burrows N, Pavkov M, Tuot D, Powe N, Saran R. Assessing trends and variability in outpatient dual testing for chronic kidney disease with urine albumin and serum creatinine, 2009–2018: a retrospective cohort study in the Veterans Health Administration System. BMJ Open 2024;14(2):e073136 View