- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04616612
Medication Adherence Given Individual SystemCHANGE(TM) in Advancing Nephropathy (MAGICIAN) Pilot Study (MAGICIAN)
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Indiana
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Indianapolis, Indiana, United States, 46202
- Indiana University School of Nursing
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- age > 18 years
- prescribed at least 1 daily RAAS inhibiting medication
- CKD diagnosis estimated glomerular filtration rate (eGFR) category G1 to G4
- RAAS inhibiting medication adherence of <.85 documented during the screening phase
- proteinuria defined as a urine Protein-to-Creatinine ratio > 150 mg/g or urine Albumin-to-Creatinine ratio >30mg/g
- able to speak, hear, and understand English determined by the ability to participate and comprehend conversation about potential inclusion in the study
- self-reported ability to open a pill cap
- able to self-administer RAAS inhibiting medications
- willing to use a study phone
- has no cognitive impairment as determined by a score of 4 or greater on the 6-item Telephone Mental Status Screen Derived from the Mini-Mental Status Exam (cognitive screener)
- has no other diagnoses that may shorten life span, such as metastatic cancer
- is not currently hospitalized
- receives care through two approved health care systems
Exclusion Criteria:
- Participants with kidney failure defined by GFR <15 mL/min/1.73
- Participants will be excluded if they are receiving dialysis or have dialysis access placed (e.g. graft or arteriovenous fistula) in anticipation of starting dialysis.
- Kidney and kidney-pancreas transplant recipients will be excluded.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Supportive Care
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: SystemCHANGE (TM)
SystemCHANGE™ focuses on using patients' already established and reliable systems to support medication-taking, rather than focusing on personal effort and "remembering."When
applied to medication adherence, the goal is to reduce medication-taking variability and move towards consistently taking medication with a 6-hour window of time (for daily medications like RAAS) and avoid missing medications.
SystemCHANGE™ improvement cycles rely on efficient use of performance feedback in order to make decisions about whether system solutions work or if there is a need to select other solutions.
|
Participants randomized to the refined SystemCHANGE™ intervention will receive 7 personalized sessions with a nurse-interventionist (session 1 virtual face-to-face, sessions 2-7 via phone) and weekly feedback MMS message reports delivered to mobile phones.
|
|
Active Comparator: Attention Control
Participants in the attention control will receive educational materials about chronic kidney disease (CKD).
The content will be focused on diet, exercise, and living with CKD.
|
Participants randomized to attention control will receive nurse-led kidney disease self-care education based on materials developed by The National Institute of Diabetes and Digestive and Kidney Diseases and The National Kidney Foundation.
Similar to the intervention, participants will receive one virtual visit from the nurse-interventionist and 6 phone calls (weeks 2, 3, 4, 5, 6 and 7) and weekly educational MMS messages delivered by mobile phone.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Percentage of Daily Doses of Medication Taken as Prescribed (Medication Adherence)
Time Frame: 8 Weeks
|
Monitored by electronic MEMS caps (AARDEX Group, Belgium) which record the date and time the cap is removed as a proxy for medication being taken.
|
8 Weeks
|
|
Percentage of Daily Doses of Medication Taken as Prescribed (Medication Adherence)
Time Frame: 12 Weeks
|
Monitored by electronic MEMS caps (AARDEX Group, Belgium) which record the date and time the cap is removed as a proxy for medication being taken.
|
12 Weeks
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Number of Participants Qualitatively Analyzed From the Investigator-designed 10-item Acceptability Questionnaire Which Assesses Nurse-intervention Interaction and Mobile Technology Acceptability.
Time Frame: 12 weeks
|
Response options ranging from 5 (strongly agree) to 1 (strongly disagree).
There is no total score.
Depending on question "strongly agree" or "strongly disagree" may be related to better acceptability of the intervention.
Answers on this survey guided development of individual interview questions to be qualitatively evaluated.
The items on the Acceptability Scale, for example, had response options ranging from 5 (strongly agree) to 1 (strongly disagree).
If a person indicated strong agreement with the item "Getting messages on the mobile phone helps support my health behaviors," we would develop interview questions to read "You indicated on your survey that getting messages on your phone supported your health behaviors.
Tell me what behaviors the messages supported?
Give me an example one of these behaviors."
|
12 weeks
|
|
Outcome Expectancy Questionnaire
Time Frame: 8 Weeks
|
This questionnaire measures the affective or emotional aspect of the client's expectations regarding improvement. It asks how much the client expects to improve as a result of the intervention. This is related to the client's emotional responses and affective processes, capturing their hopeful anticipation or optimism about the intervention outcomes. Higher scores indicate greater belief that the program will be beneficial. For outcome expectancy, the three questions will indicate how much they 1) think and 2) feel the program will help improve medication-taking using a 0 to 10 scale where 0 is no change and 10 is complete improvement, and how much they 3) feel it will reduce missing or taking medications late using 0 (the intervention won't help to reduce missed doses) to 10 (I won't miss any doses). Responses to the three questions are standardized and summed to create a total subscale score (range 0-30). |
8 Weeks
|
|
Outcome Expectancy Questionnaire
Time Frame: 12 Weeks
|
This questionnaire measures the affective or emotional aspect of the client's expectations regarding improvement. It asks how much the client expects to improve as a result of the intervention. This is related to the client's emotional responses and affective processes, capturing their hopeful anticipation or optimism about the intervention outcomes. Higher scores indicate greater belief that the program will be beneficial. For outcome expectancy, the three questions will indicate how much they 1) think and 2) feel the program will help improve medication-taking using a 0 to 10 scale where 0 is no change and 10 is complete improvement, and how much they 3) feel it will reduce missing or taking medications late using 0 (the intervention won't help to reduce missed doses) to 10 (I won't miss any doses). Responses to the three questions are standardized and summed to create a total subscale score (range 0-30). |
12 Weeks
|
|
Credibility Questionnaire
Time Frame: 8 weeks
|
This questionnaire measures the logical and cognitive evaluation of the treatment. It assesses how credible or believable the treatment seems to the client. Questions on this scale typically ask about the perceived scientific legitimacy, logic, and reliability of the treatment. It taps into the client's rational thought processes and their cognitive appraisal of the treatment's potential effectiveness. Scores on the 3 questions indicate belief the program is credible. For treatment credibility items, participants indicate how 1) logical the program is and 2) how successfully they think it will help prevent missing or taking medications late, and 3) confidence recommending it to a friend all on a 0 to 10 scale and where 0 not logical, not credible, and participant is not confident in recommending to a friend to 10 logical, credible, and would recommend to a friend. Responses are standardized and summed to create a total subscale score on the three questions for a range of 0-30. |
8 weeks
|
|
Credibility Questionnaire
Time Frame: 12 Weeks
|
This questionnaire measures the logical and cognitive evaluation of the treatment. It assesses how credible or believable the treatment seems to the client. Questions on this scale typically ask about the perceived scientific legitimacy, logic, and reliability of the treatment. It taps into the client's rational thought processes and their cognitive appraisal of the treatment's potential effectiveness. Scores on the 3 questions indicate belief the program is credible. For treatment credibility items, participants indicate how 1) logical the program is and 2) how successfully they think it will help prevent missing or taking medications late, and 3) confidence recommending it to a friend all on a 0 to 10 scale and where 0 not logical, not credible, and participant is not confident in recommending to a friend to 10 logical, credible, and would recommend to a friend. Responses are standardized and summed to create a total subscale score on the three questions for a range of 0-30. |
12 Weeks
|
|
Personal Systems Thinking
Time Frame: 8 Weeks
|
20-item Systems Thinking Scale (adapted for patients) was totaled from a 5-point scale (Never, Seldom, Some of the time, Often, Most of the time). Range 20 (personal motivation) -100 (system level thinking). This survey assesses participants view of behavior from a personal (motivation) level to a system (environmental) level. This scale evaluates intervention to improve systems thinking away from a personal motivational thinking. The total score was calculated to evaluate how thinking changed from baseline to 8 weeks and 12 weeks between the groups. Dolansky, M. A., et. al (2020). |
8 Weeks
|
|
Personal Systems Thinking
Time Frame: 12 weeks
|
20-item Systems Thinking Scale (adapted for patients) was totaled from a 5-point scale (Never, Seldom, Some of the time, Often, Most of the time). Range 20 (personal motivation) -100 (system level thinking). This survey assesses participants view of behavior from a personal (motivation) level to a system (environmental) level. This scale evaluates intervention to improve systems thinking away from a personal motivational thinking. The total score was calculated to evaluate how thinking changed from baseline to 8 weeks and 12 weeks between the groups. Dolansky, M. A., et. al (2020). |
12 weeks
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Rebecca J. Ellis, PhD, Indiana University School of Medicine
Publications and helpful links
General Publications
- Hertzog MA. Considerations in determining sample size for pilot studies. Res Nurs Health. 2008 Apr;31(2):180-91. doi: 10.1002/nur.20247.
- Devilly GJ, Borkovec TD. Psychometric properties of the credibility/expectancy questionnaire. J Behav Ther Exp Psychiatry. 2000 Jun;31(2):73-86. doi: 10.1016/s0005-7916(00)00012-4.
- Horvath T, Azman H, Kennedy GE, Rutherford GW. Mobile phone text messaging for promoting adherence to antiretroviral therapy in patients with HIV infection. Cochrane Database Syst Rev. 2012 Mar 14;2012(3):CD009756. doi: 10.1002/14651858.CD009756.
- Finitsis DJ, Pellowski JA, Johnson BT. Text message intervention designs to promote adherence to antiretroviral therapy (ART): a meta-analysis of randomized controlled trials. PLoS One. 2014 Feb 5;9(2):e88166. doi: 10.1371/journal.pone.0088166. eCollection 2014.
- Easthall C, Song F, Bhattacharya D. A meta-analysis of cognitive-based behaviour change techniques as interventions to improve medication adherence. BMJ Open. 2013 Aug 9;3(8):e002749. doi: 10.1136/bmjopen-2013-002749. Erratum In: BMJ Open. 2014;4(7). doi: 10.1136/bmjopen-2013-002749corr1.
- Institute of Medicine (US) Committee on Quality of Health Care in America; Kohn LT, Corrigan JM, Donaldson MS, editors. To Err is Human: Building a Safer Health System. Washington (DC): National Academies Press (US); 2000. Available from http://www.ncbi.nlm.nih.gov/books/NBK225182/
- Go AS, Chertow GM, Fan D, McCulloch CE, Hsu CY. Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med. 2004 Sep 23;351(13):1296-305. doi: 10.1056/NEJMoa041031. Erratum In: N Engl J Med. 2008;18(4):4.
- Callahan CM, Unverzagt FW, Hui SL, Perkins AJ, Hendrie HC. Six-item screener to identify cognitive impairment among potential subjects for clinical research. Med Care. 2002 Sep;40(9):771-81. doi: 10.1097/00005650-200209000-00007.
- Bellg AJ, Borrelli B, Resnick B, Hecht J, Minicucci DS, Ory M, Ogedegbe G, Orwig D, Ernst D, Czajkowski S; Treatment Fidelity Workgroup of the NIH Behavior Change Consortium. Enhancing treatment fidelity in health behavior change studies: best practices and recommendations from the NIH Behavior Change Consortium. Health Psychol. 2004 Sep;23(5):443-51. doi: 10.1037/0278-6133.23.5.443.
- Moore SM, Jones L, Alemi F. Family self-tailoring: Applying a systems approach to improving family healthy living behaviors. Nurs Outlook. 2016 Jul-Aug;64(4):306-311. doi: 10.1016/j.outlook.2016.05.006. Epub 2016 May 18.
- Jafar TH, Stark PC, Schmid CH, Landa M, Maschio G, de Jong PE, de Zeeuw D, Shahinfar S, Toto R, Levey AS; AIPRD Study Group. Progression of chronic kidney disease: the role of blood pressure control, proteinuria, and angiotensin-converting enzyme inhibition: a patient-level meta-analysis. Ann Intern Med. 2003 Aug 19;139(4):244-52. doi: 10.7326/0003-4819-139-4-200308190-00006.
- Nieuwlaat R, Wilczynski N, Navarro T, Hobson N, Jeffery R, Keepanasseril A, Agoritsas T, Mistry N, Iorio A, Jack S, Sivaramalingam B, Iserman E, Mustafa RA, Jedraszewski D, Cotoi C, Haynes RB. Interventions for enhancing medication adherence. Cochrane Database Syst Rev. 2014 Nov 20;2014(11):CD000011. doi: 10.1002/14651858.CD000011.pub4.
- Tangkiatkumjai M, Walker DM, Praditpornsilpa K, Boardman H. Association between medication adherence and clinical outcomes in patients with chronic kidney disease: a prospective cohort study. Clin Exp Nephrol. 2017 Jun;21(3):504-512. doi: 10.1007/s10157-016-1312-6. Epub 2016 Jul 20.
- Muntner P, Judd SE, Krousel-Wood M, McClellan WM, Safford MM. Low medication adherence and hypertension control among adults with CKD: data from the REGARDS (Reasons for Geographic and Racial Differences in Stroke) Study. Am J Kidney Dis. 2010 Sep;56(3):447-57. doi: 10.1053/j.ajkd.2010.02.348. Epub 2010 May 14.
- Cedillo-Couvert EA, Ricardo AC, Chen J, Cohan J, Fischer MJ, Krousel-Wood M, Kusek JW, Lederer S, Lustigova E, Ojo A, Porter AC, Sharp LK, Sondheimer J, Diamantidis C, Wang X, Roy J, Lash JP; CRIC Study Investigators. Self-reported Medication Adherence and CKD Progression. Kidney Int Rep. 2018 Feb 2;3(3):645-651. doi: 10.1016/j.ekir.2018.01.007. eCollection 2018 May.
- Williams A, Manias E, Walker R, Gorelik A. A multifactorial intervention to improve blood pressure control in co-existing diabetes and kidney disease: a feasibility randomized controlled trial. J Adv Nurs. 2012 Nov;68(11):2515-25. doi: 10.1111/j.1365-2648.2012.05950.x. Epub 2012 Feb 15.
- Conn VS, Ruppar TM, Enriquez M, Cooper P. Medication adherence interventions that target subjects with adherence problems: Systematic review and meta-analysis. Res Social Adm Pharm. 2016 Mar-Apr;12(2):218-46. doi: 10.1016/j.sapharm.2015.06.001. Epub 2015 Jun 15.
- Haynes RB, Ackloo E, Sahota N, McDonald HP, Yao X. Interventions for enhancing medication adherence. Cochrane Database Syst Rev. 2008 Apr 16;(2):CD000011. doi: 10.1002/14651858.CD000011.pub3.
- Ivers NM, Grimshaw JM, Jamtvedt G, Flottorp S, O'Brien MA, French SD, Young J, Odgaard-Jensen J. Growing literature, stagnant science? Systematic review, meta-regression and cumulative analysis of audit and feedback interventions in health care. J Gen Intern Med. 2014 Nov;29(11):1534-41. doi: 10.1007/s11606-014-2913-y.
- Rambod M, Heine GH, Seiler S, Dominic EA, Rogacev KS, Dwivedi R, Ramezani A, Wing MR, Amdur RL, Fliser D, Raj DS. Association of vascular endothelial factors with cardiovascular outcome and mortality in chronic kidney disease patients: a 4-year cohort study. Atherosclerosis. 2014 Oct;236(2):360-5. doi: 10.1016/j.atherosclerosis.2014.07.026. Epub 2014 Aug 12.
- Debella YT, Giduma HD, Light RP, Agarwal R. Chronic kidney disease as a coronary disease equivalent--a comparison with diabetes over a decade. Clin J Am Soc Nephrol. 2011 Jun;6(6):1385-92. doi: 10.2215/CJN.10271110. Epub 2011 Mar 10.
- Evans M, Bain SC, Hogan S, Bilous RW; Collaborative Study Group participants. Irbesartan delays progression of nephropathy as measured by estimated glomerular filtration rate: post hoc analysis of the Irbesartan Diabetic Nephropathy Trial. Nephrol Dial Transplant. 2012 Jun;27(6):2255-63. doi: 10.1093/ndt/gfr696. Epub 2011 Dec 15.
- Xie X, Atkins E, Lv J, Bennett A, Neal B, Ninomiya T, Woodward M, MacMahon S, Turnbull F, Hillis GS, Chalmers J, Mant J, Salam A, Rahimi K, Perkovic V, Rodgers A. Effects of intensive blood pressure lowering on cardiovascular and renal outcomes: updated systematic review and meta-analysis. Lancet. 2016 Jan 30;387(10017):435-43. doi: 10.1016/S0140-6736(15)00805-3. Epub 2015 Nov 7.
- Chowdhury R, Khan H, Heydon E, Shroufi A, Fahimi S, Moore C, Stricker B, Mendis S, Hofman A, Mant J, Franco OH. Adherence to cardiovascular therapy: a meta-analysis of prevalence and clinical consequences. Eur Heart J. 2013 Oct;34(38):2940-8. doi: 10.1093/eurheartj/eht295. Epub 2013 Aug 1.
- Roy L, White-Guay B, Dorais M, Dragomir A, Lessard M, Perreault S. Adherence to antihypertensive agents improves risk reduction of end-stage renal disease. Kidney Int. 2013 Sep;84(3):570-7. doi: 10.1038/ki.2013.103. Epub 2013 May 22.
- Magacho EJ, Ribeiro LC, Chaoubah A, Bastos MG. Adherence to drug therapy in kidney disease. Braz J Med Biol Res. 2011 Mar;44(3):258-62. doi: 10.1590/s0100-879x2011007500013. Epub 2011 Feb 4.
- Karamanidou C, Clatworthy J, Weinman J, Horne R. A systematic review of the prevalence and determinants of nonadherence to phosphate binding medication in patients with end-stage renal disease. BMC Nephrol. 2008 Jan 31;9:2. doi: 10.1186/1471-2369-9-2.
- Chang TI, Gao L, Brown TM, Safford MM, Judd SE, McClellan WM, Limdi NA, Muntner P, Winkelmayer WC. Use of secondary prevention medications among adults with reduced kidney function. Clin J Am Soc Nephrol. 2012 Apr;7(4):604-11. doi: 10.2215/CJN.11441111. Epub 2012 Feb 16.
- Schmitt KE, Edie CF, Laflam P, Simbartl LA, Thakar CV. Adherence to antihypertensive agents and blood pressure control in chronic kidney disease. Am J Nephrol. 2010;32(6):541-8. doi: 10.1159/000321688. Epub 2010 Nov 2.
- Marcum ZA, Sevick MA, Handler SM. Medication nonadherence: a diagnosable and treatable medical condition. JAMA. 2013 May 22;309(20):2105-6. doi: 10.1001/jama.2013.4638. No abstract available.
- Crowley MJ, Bosworth HB, Coffman CJ, Lindquist JH, Neary AM, Harris AC, Datta SK, Granger BB, Pereira K, Dolor RJ, Edelman D. Tailored Case Management for Diabetes and Hypertension (TEACH-DM) in a community population: study design and baseline sample characteristics. Contemp Clin Trials. 2013 Sep;36(1):298-306. doi: 10.1016/j.cct.2013.07.010. Epub 2013 Aug 2.
- Shrestha SS, Shakya R, Karmacharya BM, Thapa P. Medication adherence to oral hypoglycemic agents among type II diabetic patients and their clinical outcomes with special reference to fasting blood glucose and glycosylated hemoglobin levels. Kathmandu Univ Med J (KUMJ). 2013 Jul-Sep;11(43):226-32. doi: 10.3126/kumj.v11i3.12510.
- Russell CL. A clinical nurse specialist-led intervention to enhance medication adherence using the plan-do-check-act cycle for continuous self-improvement. Clin Nurse Spec. 2010 Mar-Apr;24(2):69-75. doi: 10.1097/NUR.0b013e3181cf554d.
- Russell CL, Ruppar TM, Matteson M. Improving medication adherence: moving from intention and motivation to a personal systems approach. Nurs Clin North Am. 2011 Sep;46(3):271-81, v. doi: 10.1016/j.cnur.2011.05.004.
- Alemi F, Neuhauswer D. A thinking person's step by step guide to changing your lifestyle: Weight loss and exercise program. . Victoria, Canada: Trafford Publishing. 2005.
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- Williams A, Manias E, Liew D, Gock H, Gorelik A. Working with CALD groups: testing the feasibility of an intervention to improve medication self- management in people with kidney disease, diabetes, and cardiovascular disease. Renal Society of Australasia
- Russell CL, Hathaway D, Remy LM, Aholt D, Clark D, Miller C, Ashbaugh C, Wakefield M, Ye S, Staggs VS, Ellis RJ, Goggin K. Improving medication adherence and outcomes in adult kidney transplant patients using a personal systems approach: SystemCHANGE results of the MAGIC randomized clinical trial. Am J Transplant. 2020 Jan;20(1):125-136. doi: 10.1111/ajt.15528. Epub 2019 Aug 20.
- Russell C, Conn V, Ashbaugh C, Madsen R, Wakefield M, Webb A, Coffey D, Peace L. Taking immunosuppressive medications effectively (TIMELink): a pilot randomized controlled trial in adult kidney transplant recipients. Clin Transplant. 2011 Nov-Dec;25(6):864-70. doi: 10.1111/j.1399-0012.2010.01358.x. Epub 2010 Nov 16.
- Matteson M, Russell C, Winn J. Pilot Intervention to Improve Medication Adherence in Nonadherent Inflammatory Bowel Disease Patients: P-3. Inflammatory Bowel Diseases. 2011;17(Suppl_2):S13-S13.
- Welch JL, Bartlett Ellis RJ, Perkins SM, Johnson CS, Zimmerman LM, Russell CL, Richards C, Guise DM, Decker BS. Knowledge and Awareness Among Patients with Chronic Kidney Disease Stage 3. Nephrol Nurs J. 2016 Nov-Dec;43(6):513-519.
- Russell CL, Conn VS, Ashbaugh C, Madsen R, Hayes K, Ross G. Medication adherence patterns in adult renal transplant recipients. Res Nurs Health. 2006 Dec;29(6):521-32. doi: 10.1002/nur.20149.
- Radhakrishnan K. The efficacy of tailored interventions for self-management outcomes of type 2 diabetes, hypertension or heart disease: a systematic review. J Adv Nurs. 2012 Mar;68(3):496-510. doi: 10.1111/j.1365-2648.2011.05860.x. Epub 2011 Oct 20.
- Shimohata H, Maruyama H, Ogawa Y, Kobayashi M. Hyperthyroidism associated with obesity-related glomerulopathy-like pathologic features. Intern Med. 2014;53(9):997-9. doi: 10.2169/internalmedicine.53.1814. Epub 2014 May 1.
- Denhaerynck K, Schafer-Keller P, Young J, Steiger J, Bock A, De Geest S. Examining assumptions regarding valid electronic monitoring of medication therapy: development of a validation framework and its application on a European sample of kidney transplant patients. BMC Med Res Methodol. 2008 Feb 19;8:5. doi: 10.1186/1471-2288-8-5.
- Bowling A. Just one question: If one question works, why ask several? J Epidemiol Community Health. 2005 May;59(5):342-5. doi: 10.1136/jech.2004.021204. No abstract available.
- Bronfenbrenner U. The ecology of human development: Experiments by design and nature. In: Cambridge, MA: Harvard University Press; 1979.
- Deming E., Orsini J. The Essential Deming: Leadership Principles from the Father of Quality. New York, NY: McGraw-Hill Education; 2012.
- Ong SW, Jassal SV, Miller JA, Porter EC, Cafazzo JA, Seto E, Thorpe KE, Logan AG. Integrating a Smartphone-Based Self-Management System into Usual Care of Advanced CKD. Clin J Am Soc Nephrol. 2016 Jun 6;11(6):1054-1062. doi: 10.2215/CJN.10681015. Epub 2016 May 12.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2001957718
- R21NR019348-02 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Study Data/Documents
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Clinical Study Report
Information comments: United States Renal Data System. USRDS annual data report: Epidemiology of kidney disease in the United States. National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD. 2017.
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Statistics
Information comments: US Department of Health & Human Services. Kidney disease statistics for the United States. Bethesda, MD: National Kidney and Urologic Diseases Information Clearinghouse, National Institutes of Health. 2011.
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Clinical Study Report
Information comments: KDIGO. Kidney Disease: Improving global outcomes blood pressure work group, KDIGO clinical practice guideline for the management of blood pressure in chronic kidney disease. Kidney International. 2012;Suppl. 2(5):337-414.
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Clinical Study Report
Information comments: National Institute of Diabetes and Digestive and Kidney Diseases. High Blood Pressure and Kidney Disease. In. NIH Publication No. 14-4572 ed. Bethesda, MD: National Kidney and Urologic Diseases Information Clearinghouse (NKUDIC); 2014:12.
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Education
Information comments: National Kidney Foundation. Nutrition and Chronic Kidney Disease (Stages 1-4). Are You Getting What You Need? In. Vol 11-10-1811_HBE. 11-10-1811_HBE ed. New York, NY: National Kidney Foundation; 2013-2014:1-28.
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Education
Information comments: National Kidney Foundation. Hidden health risks: Kidney Disease, Diabetes, and High Blood Pressure. In. Vol 11-10-1811_HBE. New York, NY: National Kidney Foundation 2014:1-20.
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Pamphlet
Information comments: U.S. Department of Health and Human Services. National Institutes of Health. In Brief: Your Guide to Healthy Sleep. In. Vol NIH Publication No. 11-5800. Bethesda, MA: NHLBI Health Information Center; 2011:1-4.
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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