Literature DB >> 32682696

Electronic Decision Support for Management of CKD in Primary Care: A Pragmatic Randomized Trial.

Carmen A Peralta1, Jennifer Livaudais-Toman2, Marilyn Stebbins3, Lowell Lo4, Andrew Robinson4, Sarita Pathak2, Rebecca Scherzer5, Leah S Karliner2.   

Abstract

RATIONALE &
OBJECTIVE: Most adults with chronic kidney disease (CKD) in the United States are cared for by primary care providers (PCPs). We evaluated the feasibility and preliminary effectiveness of an electronic clinical decision support system (eCDSS) within the electronic health record with or without pharmacist follow-up to improve the management of CKD in primary care. STUDY
DESIGN: Pragmatic cluster-randomized trial. SETTING & PARTICIPANTS: 524 adults with confirmed creatinine-based estimated glomerular filtration rates of 30 to 59mL/min/1.73m2 cared for by 80 PCPs at the University of California San Francisco. Electronic health record data were used for patient identification, intervention deployment, and outcomes ascertainment.
INTERVENTIONS: Each PCP's eligible patients were randomly assigned as a group into 1 of 3 treatment arms: (1) usual care; (2) eCDSS: testing of creatinine, cystatin C, and urinary albumin-creatinine ratio with individually tailored guidance for PCPs on blood pressure, potassium, and proteinuria management, cardiovascular risk reduction, and patient education; or (3) eCDSS plus pharmacist counseling (eCDSS-PLUS). OUTCOMES: The primary clinical outcome was change in blood pressure over 12 months. Secondary outcomes were PCP awareness of CKD and use of angiotensin-converting enzyme inhibitor/angiotensin receptor blocker and statin therapy.
RESULTS: All 80 eligible PCPs participated. Mean patient age was 70 years, 47% were nonwhite, and mean estimated glomerular filtration rate was 56±0.6mL/min/1.73m2. Among patients receiving eCDSS with or without pharmacist counseling (n=336), 178 (53%) completed laboratory measurements and 138 (41%) had laboratory measurements followed by a PCP visit with eCDSS deployment. eCDSS was opened by the PCP for 102 (74%) patients, with at least 1 suggested order signed for 83 of these 102 (81%). Changes in systolic blood pressure were-2.1±1.5mm Hg with usual care, -2.8±1.8mm Hg with eCDSS, and -1.1±1.1 with eCDSS-PLUS (P=0.7). PCP awareness of CKD was 16% with usual care, 26% with eCDSS, and 32% for eCDSS-PLUS (P=0.09). In as-treated analyses, PCP awareness of CKD was significantly greater with eCDSS and eCDSS-PLUS (73% and 69%) versus usual care (47%; P=0.002). LIMITATIONS: Recruitment of smaller than intended sample size and limited uptake of the testing component of the intervention.
CONCLUSIONS: Although we were unable to demonstrate the effectiveness of eCDSS to lower blood pressure and uptake of the eCDSS was limited by low testing rates, eCDSS use was high when laboratory measurements were available and was associated with higher PCP awareness of CKD. FUNDING: Grants from government (National Institutes of Health) and not-for-profit (American Heart Association) entities. TRIAL REGISTRATION: Registered at ClinicalTrials.gov with study number NCT02925962.
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CKD awareness; CKD detection; CKD management; Chronic kidney disease (CKD); electronic decision support; electronic health record (EHR); nephrology referral; primary care; primary care physician (PCP); randomized clinical trial (RCT); risk stratification

Mesh:

Year:  2020        PMID: 32682696      PMCID: PMC7606321          DOI: 10.1053/j.ajkd.2020.05.013

Source DB:  PubMed          Journal:  Am J Kidney Dis        ISSN: 0272-6386            Impact factor:   8.860


  18 in total

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3.  Detection of chronic kidney disease with creatinine, cystatin C, and urine albumin-to-creatinine ratio and association with progression to end-stage renal disease and mortality.

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10.  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.

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