Improving Evidence-Based Primary Care for Chronic Kidney Disease
NCT ID: NCT01767883
Last Updated: 2018-12-12
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
27000 participants
INTERVENTIONAL
2011-07-01
2016-01-30
Brief Summary
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Purpose: The project aims to: 1) assess the viability of CDS in implementing evidence-based guidelines for Primary Care Practices (PCPs) and 2) to develop evidence-based practice guidelines that PCPs may use to enhance the care they provide to a difficult to manage segment of the healthcare population.
Methods: This is a randomized controlled trial of point-of-care CDS plus full TRANSLATE model of practice change, versus CDS alone. The study aims to analyze differences in promoting evidence-based care in primary care practices. Thirty-six practices will be recruited for this study. Patient inclusion criteria: adult patients with estimated Glomerular Filtration Rate (eGFR) of \<60 and \>15ml/min/1.73m2 confirmed with repeat testing over three or more months. A process evaluation will be conducted between the CDS practices with facilitation and the CDS only practices to assess clinical outcomes of CKD progression and all-cause mortality. Lastly, a cost-effective analysis will compare the cost-to-benefit ratio of CDS alone to that of CDS plus TRANSLATE (i.e. practice facilitation) in relation to cost per quality adjusted years of life. This study is funded by NIH NIDDK under R01 mechanism starting on 07/01/2011 and ending on 06/30/2016.
Detailed Description
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Specific Aim 1: Conduct a group randomized controlled trial of point-of-care computer decision support plus the full TRANSLATE model of practice change, versus computer decision support alone in promoting evidence-based care in primary care practices for all patients with an eGFR \<60 and \> 15 ml/min/1.73m2 confirmed with repeat testing over three or more months. (CKD stages 3 and 4) Hypothesis 1.1: CDS practices using the TRANSLATE model will provide a greater degree of evidence-based guideline-concordant care for CKD than CDS only practices.
Specific Aim 2: Conduct an intent-to-treat and process analysis between the CDS practices with facilitation versus the CDS only practices of the clinical outcomes of CKD progression and all-cause mortality.
Hypothesis 2.1: Patients with stage 3 and 4 CKD in facilitated practices will have slower CKD progression than patients in CDS only practices.
Hypothesis 2.2: Patients with stage 3 and 4 CKD in facilitated practices will have significantly lower all-cause mortality than stage 3 and 4 patients in CDS only practices.
Hypothesis 2.3: The process evaluation will determine through qualitative methods the fidelity of the facilitated TRANSLATE program; find the challenges and enablers of the implementation process, the role of facilitation, and the contextual factors that contribute to TRANSLATE decisions and strategies; and translate lessons learned into pragmatic "best practices" for future facilitation and dissemination.
Specific Aim 3: Conduct a cost-effectiveness analysis that will compare the benefit of the intervention of computer decision support alone against the intervention of computer decision support plus TRANSLATE (practice facilitation). Hypothesis 3.1 The intervention of computer decision support plus TRANSLATE is more cost-effectiveness than the intervention of computer decision support alone.
Conditions
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Keywords
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Study Design
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RANDOMIZED
PARALLEL
HEALTH_SERVICES_RESEARCH
SINGLE
Study Groups
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Facilitated Clinical Decision Support
The primary care practices in this arm will receive:
* CKD decision support algorithms added to their Clinical Decision Support
* System Academic detailing concerning the rationale for the algorithms
* On-going mentoring and practice facilitation
Facilitated Clinical Decision Support
The primary care practices in this arm will receive:
* CKD decision support algorithms added to their Clinical Decision Support
* System Academic detailing concerning the rationale for the algorithms
* On-going mentoring and practice facilitation
* Audit and feedback during quarterly reviews of practice data with the practice facilitator by videoconference.
Clinical Decision Support Only
The primary care practices in this arm will receive:
* CKD decision support algorithms added to their Clinical Decision Support System
* Academic detailing concerning the rationale for the algorithms
Clinical Decision Support Only
* CKD decision support algorithms added to their Clinical Decision Support
* System Academic detailing concerning the rationale for the algorithms
Interventions
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Facilitated Clinical Decision Support
The primary care practices in this arm will receive:
* CKD decision support algorithms added to their Clinical Decision Support
* System Academic detailing concerning the rationale for the algorithms
* On-going mentoring and practice facilitation
* Audit and feedback during quarterly reviews of practice data with the practice facilitator by videoconference.
Clinical Decision Support Only
* CKD decision support algorithms added to their Clinical Decision Support
* System Academic detailing concerning the rationale for the algorithms
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
ALL
No
Sponsors
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National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
NIH
University at Buffalo
OTHER
University of Colorado, Denver
OTHER
National Kidney Foundation, United States
OTHER
American Academy of Family Physicians
OTHER
Responsible Party
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Principal Investigators
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Chester H Fox, MD
Role: PRINCIPAL_INVESTIGATOR
State University of New York at Buffalo
Locations
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American Academy of Family Physicians
Leawood, Kansas, United States
Countries
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References
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Carroll JK, Pulver G, Dickinson LM, Pace WD, Vassalotti JA, Kimminau KS, Manning BK, Staton EW, Fox CH. Effect of 2 Clinical Decision Support Strategies on Chronic Kidney Disease Outcomes in Primary Care: A Cluster Randomized Trial. JAMA Netw Open. 2018 Oct 5;1(6):e183377. doi: 10.1001/jamanetworkopen.2018.3377.
Loskutova NY, Smail C, Ajayi K, Pace WD, Fox CH. Recruiting primary care practices for practice-based research: a case study of a group-randomized study (TRANSLATE CKD) recruitment process. Fam Pract. 2018 Jan 16;35(1):111-116. doi: 10.1093/fampra/cmx064.
Cipparone CW, Withiam-Leitch M, Kimminau KS, Fox CH, Singh R, Kahn L. Inaccuracy of ICD-9 Codes for Chronic Kidney Disease: A Study from Two Practice-based Research Networks (PBRNs). J Am Board Fam Med. 2015 Sep-Oct;28(5):678-82. doi: 10.3122/jabfm.2015.05.140136.
Kahn LS, Vest BM, Madurai N, Singh R, York TR, Cipparone CW, Reilly S, Malik KS, Fox CH. Chronic kidney disease (CKD) treatment burden among low-income primary care patients. Chronic Illn. 2015 Sep;11(3):171-83. doi: 10.1177/1742395314559751. Epub 2014 Nov 21.
Fox CH, Vest BM, Kahn LS, Dickinson LM, Fang H, Pace W, Kimminau K, Vassalotti J, Loskutova N, Peterson K. Improving evidence-based primary care for chronic kidney disease: study protocol for a cluster randomized control trial for translating evidence into practice (TRANSLATE CKD). Implement Sci. 2013 Aug 8;8:88. doi: 10.1186/1748-5908-8-88.
Other Identifiers
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AAFP-CKD-102020846
Identifier Type: -
Identifier Source: org_study_id