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| ID | Type | Description | Link |
|---|---|---|---|
| 1R18DK118463-01 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) | NIH |
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To prevent serious chronic kidney disease (CKD) complications such as end-stage renal disease and cardiovascular events, better strategies are needed to identify, treat, and refer CKD patients seen in primary care clinics. This project expands an existing and successful Web-based clinical decision support (CDS) system to include key elements of CKD care and rigorously assesses the impact of this intervention on quality of CKD care for patients seen in primary care settings, including better recognition of CKD, better management of blood pressure and glucose, and more timely referral to nephrologists when appropriate. This low-cost and highly scalable intervention has high potential to improve CKD care and translate massive public and private sector investments in health informatics into tangible health benefits for large numbers of patients with CKD.
Clinics are randomly allocated 1:1 through a computer-generated program to either control or intervention.
Control Clinics. All control clinics will continue to use the basic Electronic Medical Record (EMR)-linked CDS for cardiovascular (CV) risk factor management. This CDS includes algorithmically derived identification of high CV risk patients and prioritized treatment suggestions for lipids, Blood Pressure (BP), glycemic control, weight, tobacco, and aspirin use based on distance from goal, current medications, labs, allergies, and safety considerations. The basic CDS does not include information specific to CKD care.
Intervention Clinics. The CKD-CDS intervention provides updated clinical recommendations at any primary care visit for patients meeting inclusion and exclusion criteria. This presents patients and their primary care providers (PCPs) multiple opportunities to consider an evolving array of timely, evidence-based treatment options to improve CKD care. The CKD-CDS intervention is rooted in a series of antecedent studies that developed more limited but successful forms of CDS. From an operational point of view, implementing CKD-CDS at intervention clinics requires a series of 4 distinct steps that occur at every encounter:
Step 1: Data exchange and evaluation: The EMR securely exchanges data with the Web Service at every encounter of patients aged 18-75 triggered by BP entry.
Step 2: Recognition of CKD and presence of care deficits: Patients with stage 3-4 CKD are automatically identified by the Web Service and evaluated using algorithms maintained in the Web service for identification of CKD and for the 5 emphasized care gaps (identification of CKD, BP control, glucose control, Angiotensin converting enzyme inhibitor (ACEI)/Angiotensin receptor blocker (ARB) use if appropriate, and nephrology consultation if appropriate). If the patient has a care gap, the rooming staff receives an immediate best practice advisory (BPA) prompt to print CDS materials for the patient and the provider to review and use for shared decision making. Using a sequence of steps successfully implemented in previous studies, the rooming staff will print the materials and give the lay version to the patient to review while waiting for the provider. A professional version is left on the door for the provider to review before entering the exam room. This approach has been well-liked by our providers to help them be prepared and to engage patients in their care needs before the clinician-patient interaction. PCPs can also optionally view an electronic version of the CDS materials. The CDS can be viewed in real time for any patient by clicking on a button programmed in the EMR encounter display.
Step 3: Use of CKD-CDS recommendations as shared decision-making tools: The participating providers and all rooming staff in the intervention clinics will be trained in the use of the PCP (professional) and patient (low-literacy) versions of the CKD-CDS. For this study, the CDS tool will be adapted to emphasize CKD and, for each identified deficit in CKD care, the CKD-CDS will display patient-specific recommendations consistent with then-current national CKD clinical guidelines; for example: (a) recognize CKD and ask the PCP to enter a CKD diagnosis on the problem list if indicated, and/or (b) specific considerations for how to modify BP control, glucose control, or ACEI/ARB therapy, and/or (c) refer certain patients to nephrology when referral criteria are met. The PCP assesses patient preference for any of the CKD-related treatment options. If the patient wants to act on 1 or more, the PCP can address it then or schedule a subsequent visit for that purpose. If the patient is not interested in any option, no further action is needed at that day's visit. The decision support provided to the PCP is very specific and, if pharmacotherapy is indicated, decision support specifies either initiation or titration of specific drugs based on the drugs/doses the patient is currently taking, distance from goal, and other clinical considerations outlined above. The patient version of the CKD-CDS uses symbols to provide easy patient recognition of priority clinical areas and then suggests potential treatment options they can discuss with their provider. Presenting key CKD care recommendations when indicated (all of which are evidence based and capable of improving CKD care) allows the patient freedom to select his or her preferred treatment option from among several potentially beneficial treatment options. Because patient readiness to take health-related actions varies across specific actions, offering several options improves the chance that a given patient may be interested in addressing at least 1 of the evidence-based options presented. Moreover, patient readiness to act is a key predictor of subsequent adherence and success of treatment, as we have previously shown in this patient population. It is important to realize that the printed page the patient receives frames the discussion to a set of prioritized evidence-based treatment options with likely benefit to the patient.
Step 4. Take action based on the decisions made: After discussing with the patient, the provider can then go ahead and order the recommendations suggested by the CDS such as labs, medication, e-consults with nephrology, and referrals to specialists. All actions taken are also based on the provider's clinical judgement.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| CKD enhanced clinical decision support (CKD-CDS Intervention) | Experimental | Priority Wizard CDS tool is enhanced to incorporate chronic kidney disease(CKD) management. This presents patients and their primary care providers (PCPs) multiple opportunities to consider an evolving array of timely, evidence-based treatment options to improve CKD care. The CDS also provides CV risk factor management like the basic Priority Wizard present in the usual care arm. |
|
| Usual Care | No Intervention | A basic Priority Wizard CDS tool for cardiovascular (CV) risk factor management (previously know as the CV Wizard) includes algorithmically derived identification of high CV risk patients and prioritized treatment suggestions for lipids, Blood Pressure (BP), glycemic control, weight, tobacco, and aspirin use based on distance from goal, current medications, labs, allergies, and safety considerations. Has no decision support specific to CKD care. |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| CKD enhanced clinical decision support | Other | The CKD-CDS intervention provides clinical recommendations at any primary care visit for patients with a deficit in any of 5 key elements of CKD care. |
| Measure | Description | Time Frame |
|---|---|---|
| Number of Participants With CKD Diagnosis | Number of patients who had a CKD diagnosis document in the 18 months post index. | 18-month period post index |
| Number of Patients With Orders for Angiotensin-converting Enzyme Inhibitors (ACEI) or Angiotension II Reception Blockers (ARB) | Number of patients who had an Angiotensin-converting enzyme inhibitors (ACEI) or Angiotension II reception blockers (ARB) order in the 18 months post index. | 18-month period post index |
| Number of Patients With Optimal Blood Pressure Control | Number of patients for whom the average of the two most recent blood pressures prior to 18 months post index was <130/80. | 18-month period post index |
| Number of Patients With Optimal Glucose Control | Number of patients whose last A1c was <7% in the 1-18 months post index. | 1 to 18-month period post index |
| Number of Patients With Referral to Nephrology | Number of patients who have a referral to nephrology in the 18 months post index. | 18-month period post index |
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Inclusion Criteria:
Age 18 to 75 years, inclusive. The evidence-based guidelines on which the CDS intervention is based are not applicable outside this age range.
Have confirmed CKD based on 2 or more estimated glomerular filtration rate (eGFR) values <60 cc/min/1.73m2, including the most recent eGFR value and a previous eGFR at least one week prior
Have a CKD care component suboptimally managed as defined by one or more of the following:
Exclusion Criteria:
An individual who meets any of the following criteria will be excluded from receiving the
CKD-CDS:
Individuals who meet all inclusion and exclusion criteria at an index visit and have at least one post-index visit in the following 12 months will be included in the primary analyses.
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| Name | Affiliation | Role |
|---|---|---|
| JoAnn M Sperl-Hillen, MD | Senior Investigator, HealthPartners Institute | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| HealthPartners Care System | Bloomington | Minnesota | 55425 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 11904577 | Background | National Kidney Foundation. K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis. 2002 Feb;39(2 Suppl 1):S1-266. No abstract available. | |
| 24647050 | Background | Inker LA, Astor BC, Fox CH, Isakova T, Lash JP, Peralta CA, Kurella Tamura M, Feldman HI. KDOQI US commentary on the 2012 KDIGO clinical practice guideline for the evaluation and management of CKD. Am J Kidney Dis. 2014 May;63(5):713-35. doi: 10.1053/j.ajkd.2014.01.416. Epub 2014 Mar 16. |
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Clinics are randomly allocated 1:1 through a computer-generated program to either control or intervention. Patients who have their index visit at a control clinic are assigned to the usual care group and patients who have their index visit at an intervention clinic are assigned to the CKD-CDS intervention group.
| ID | Title | Description |
|---|---|---|
| FG000 | CKD Enhanced Clinical Decision Support (CKD-CDS Intervention) | Priority Wizard CDS tool is enhanced to incorporate chronic kidney disease(CKD) management. This presents patients and their primary care providers (PCPs) multiple opportunities to consider an evolving array of timely, evidence-based treatment options to improve CKD care. The CDS also provides CV risk factor management like the basic Priority Wizard present in the usual care arm. CKD enhanced clinical decision support: The CKD-CDS intervention provides clinical recommendations at any primary care visit for patients with a deficit in any of 5 key elements of CKD care. |
| FG001 | Usual Care | A basic Priority Wizard CDS tool for cardiovascular (CV) risk factor management (previously know as the CV Wizard) includes algorithmically derived identification of high CV risk patients and prioritized treatment suggestions for lipids, Blood Pressure (BP), glycemic control, weight, tobacco, and aspirin use based on distance from goal, current medications, labs, allergies, and safety considerations. Has no decision support specific to CKD care. |
| Title | Milestones | Reasons Not Completed | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
|
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| ID | Title | Description |
|---|---|---|
| BG000 | CKD Enhanced Clinical Decision Support (CKD-CDS Intervention) | Priority Wizard CDS tool is enhanced to incorporate chronic kidney disease(CKD) management. This presents patients and their primary care providers (PCPs) multiple opportunities to consider an evolving array of timely, evidence-based treatment options to improve CKD care. The CDS also provides CV risk factor management like the basic Priority Wizard present in the usual care arm. CKD enhanced clinical decision support: The CKD-CDS intervention provides clinical recommendations at any primary care visit for patients with a deficit in any of 5 key elements of CKD care. |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Categorical | Count of Participants |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Number of Participants With CKD Diagnosis | Number of patients who had a CKD diagnosis document in the 18 months post index. | Posted | Count of Participants | Participants | 18-month period post index |
|
18 months
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | CKD Enhanced Clinical Decision Support (CKD-CDS Intervention) | Priority Wizard CDS tool is enhanced to incorporate chronic kidney disease(CKD) management. This presents patients and their primary care providers (PCPs) multiple opportunities to consider an evolving array of timely, evidence-based treatment options to improve CKD care. The CDS also provides CV risk factor management like the basic Priority Wizard present in the usual care arm. CKD enhanced clinical decision support: The CKD-CDS intervention provides clinical recommendations at any primary care visit for patients with a deficit in any of 5 key elements of CKD care. |
| Term | Organ System | Source Vocabulary | Assessment Type | Notes | Statistical Information |
|---|---|---|---|---|---|
| hospitalizations | General disorders | Systematic Assessment |
| Term | Organ System | Source Vocabulary | Assessment Type | Notes | Statistical Information |
|---|---|---|---|---|---|
| Emergency Room Visits | General disorders | Systematic Assessment |
Some Usual Care (UC) participants received CDS for BP and A1c management due to existing CDS pre-dating the study. Due to Corona Virus Disease 2019 (COVID-19), the study paused 5 months, and there were fewer office visits, which would have limited intervention exposure. The intervention didn't allow for video visit screen sharing, a visit type that increased in the pandemic. There was a potential learning effect contamination due to some clinicians caring for patients in both study arms.
| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| JoAnn Sperl-Hillen, MD, Senior Clinical Investigator | HealthPartners Institute | 952-967-5009 | joann.m.sperlhillen@healthpartners.com |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Sep 9, 2022 | Sep 9, 2022 | Prot_SAP_000.pdf |
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| ID | Term |
|---|---|
| D051436 | Renal Insufficiency, Chronic |
| D006973 | Hypertension |
| D003920 | Diabetes Mellitus |
| ID | Term |
|---|---|
| D051437 | Renal Insufficiency |
| D007674 | Kidney Diseases |
| D014570 | Urologic Diseases |
| D052776 | Female Urogenital Diseases |
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Clinic level cluster randomized study
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| 23732715 | Background | Stevens PE, Levin A; Kidney Disease: Improving Global Outcomes Chronic Kidney Disease Guideline Development Work Group Members. Evaluation and management of chronic kidney disease: synopsis of the kidney disease: improving global outcomes 2012 clinical practice guideline. Ann Intern Med. 2013 Jun 4;158(11):825-30. doi: 10.7326/0003-4819-158-11-201306040-00007. |
| 29146535 | Background | Whelton PK, Carey RM, Aronow WS, Casey DE Jr, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC Jr, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA Sr, Williamson JD, Wright JT Jr. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol. 2018 May 15;71(19):e127-e248. doi: 10.1016/j.jacc.2017.11.006. Epub 2017 Nov 13. No abstract available. |
| 15298234 | Background | Andrade SE, Gurwitz JH, Field TS, Kelleher M, Majumdar SR, Reed G, Black R. Hypertension management: the care gap between clinical guidelines and clinical practice. Am J Manag Care. 2004 Jul;10(7 Pt 2):481-6. |
| 14984450 | Background | Grant RW, Cagliero E, Dubey AK, Gildesgame C, Chueh HC, Barry MJ, Singer DE, Nathan DM, Meigs JB. Clinical inertia in the management of Type 2 diabetes metabolic risk factors. Diabet Med. 2004 Feb;21(2):150-5. doi: 10.1111/j.1464-5491.2004.01095.x. |
| 16186262 | Background | Phillips LS, Ziemer DC, Doyle JP, Barnes CS, Kolm P, Branch WT, Caudle JM, Cook CB, Dunbar VG, El-Kebbi IM, Gallina DL, Hayes RP, Miller CD, Rhee MK, Thompson DM, Watkins C. An endocrinologist-supported intervention aimed at providers improves diabetes management in a primary care site: improving primary care of African Americans with diabetes (IPCAAD) 7. Diabetes Care. 2005 Oct;28(10):2352-60. doi: 10.2337/diacare.28.10.2352. |
| 28207923 | Background | van Dipten C, van Berkel S, van Gelder VA, Wetzels JFM, Akkermans RP, de Grauw WJC, Biermans MCJ, Scherpbier-de Haan ND, Assendelft WJJ. Adherence to chronic kidney disease guidelines in primary care patients is associated with comorbidity. Fam Pract. 2017 Aug 1;34(4):459-466. doi: 10.1093/fampra/cmx002. |
| 21242556 | Background | O'Connor PJ, Sperl-Hillen JM, Rush WA, Johnson PE, Amundson GH, Asche SE, Ekstrom HL, Gilmer TP. Impact of electronic health record clinical decision support on diabetes care: a randomized trial. Ann Fam Med. 2011 Jan-Feb;9(1):12-21. doi: 10.1370/afm.1196. |
| Background | Sperl-Hillen JM, O'Connor PJ, Averbeck BM, et al. Outpatient EHR-based diabetes clinical decision support that works: lessons learned from implementing Diabetes Wizard. Diabetes Spectrum. 2010;23(3):150-154 |
| 26290886 | Background | Kharbanda EO, Nordin JD, Sinaiko AR, Ekstrom HL, Stultz JM, Sherwood NE, Fontaine PL, Asche SE, Dehmer SP, Amundson JH, Appana DX, Bergdall AR, Hayes MG, O'Connor PJ. TeenBP: Development and Piloting of an EHR-Linked Clinical Decision Support System to Improve Recognition of Hypertension in Adolescents. EGEMS (Wash DC). 2015 Jul 9;3(2):1142. doi: 10.13063/2327-9214.1142. eCollection 2015. |
| 22578085 | Background | Gilmer TP, O'Connor PJ, Sperl-Hillen JM, Rush WA, Johnson PE, Amundson GH, Asche SE, Ekstrom HL. Cost-effectiveness of an electronic medical record based clinical decision support system. Health Serv Res. 2012 Dec;47(6):2137-58. doi: 10.1111/j.1475-6773.2012.01427.x. Epub 2012 May 11. |
| 27044962 | Background | Hargraves I, LeBlanc A, Shah ND, Montori VM. Shared Decision Making: The Need For Patient-Clinician Conversation, Not Just Information. Health Aff (Millwood). 2016 Apr;35(4):627-9. doi: 10.1377/hlthaff.2015.1354. |
| 25670178 | Background | Agoritsas T, Heen AF, Brandt L, Alonso-Coello P, Kristiansen A, Akl EA, Neumann I, Tikkinen KA, Weijden Tv, Elwyn G, Montori VM, Guyatt GH, Vandvik PO. Decision aids that really promote shared decision making: the pace quickens. BMJ. 2015 Feb 10;350:g7624. doi: 10.1136/bmj.g7624. |
| 38435072 | Derived | Sperl-Hillen J, Crain AL, Wetmore JB, Chumba LN, O'Connor PJ. A CKD Clinical Decision Support System: A Cluster Randomized Clinical Trial in Primary Care Clinics. Kidney Med. 2023 Dec 12;6(3):100777. doi: 10.1016/j.xkme.2023.100777. eCollection 2024 Mar. |
| BG001 | Usual Care | A basic Priority Wizard CDS tool for cardiovascular (CV) risk factor management (previously know as the CV Wizard) includes algorithmically derived identification of high CV risk patients and prioritized treatment suggestions for lipids, Blood Pressure (BP), glycemic control, weight, tobacco, and aspirin use based on distance from goal, current medications, labs, allergies, and safety considerations. Has no decision support specific to CKD care. |
| BG002 | Total | Total of all reporting groups |
| Participants |
|
| Sex: Female, Male | Count of Participants | Participants |
|
| Ethnicity (NIH/OMB) | Count of Participants | Participants |
|
| Race (NIH/OMB) | Count of Participants | Participants |
|
| Region of Enrollment | Number | participants |
|
| CKD Diagnosis | Provider-diagnosed CKD among patients with laboratory evidence of stage 3-4 CKD and no prior diagnosis. | Count of Participants | Participants |
|
| OG001 |
| Usual Care |
A basic Priority Wizard CDS tool for cardiovascular (CV) risk factor management (previously know as the CV Wizard) includes algorithmically derived identification of high CV risk patients and prioritized treatment suggestions for lipids, Blood Pressure (BP), glycemic control, weight, tobacco, and aspirin use based on distance from goal, current medications, labs, allergies, and safety considerations. Has no decision support specific to CKD care. |
|
|
|
| Primary | Number of Patients With Orders for Angiotensin-converting Enzyme Inhibitors (ACEI) or Angiotension II Reception Blockers (ARB) | Number of patients who had an Angiotensin-converting enzyme inhibitors (ACEI) or Angiotension II reception blockers (ARB) order in the 18 months post index. | Posted | Count of Participants | Participants | 18-month period post index |
|
|
|
|
| Primary | Number of Patients With Optimal Blood Pressure Control | Number of patients for whom the average of the two most recent blood pressures prior to 18 months post index was <130/80. | Posted | Count of Participants | Participants | 18-month period post index |
|
|
|
|
| Primary | Number of Patients With Optimal Glucose Control | Number of patients whose last A1c was <7% in the 1-18 months post index. | Posted | Count of Participants | Participants | 1 to 18-month period post index |
|
|
|
|
| Primary | Number of Patients With Referral to Nephrology | Number of patients who have a referral to nephrology in the 18 months post index. | Posted | Count of Participants | Participants | 18-month period post index |
|
|
|
|
| 151 |
| 2,923 |
| 541 |
| 2,923 |
| 1,039 |
| 2,923 |
| EG001 | Usual Care | A basic Priority Wizard CDS tool for cardiovascular (CV) risk factor management (previously know as the CV Wizard) includes algorithmically derived identification of high CV risk patients and prioritized treatment suggestions for lipids, Blood Pressure (BP), glycemic control, weight, tobacco, and aspirin use based on distance from goal, current medications, labs, allergies, and safety considerations. Has no decision support specific to CKD care. | 175 | 3,372 | 543 | 3,372 | 1,100 | 3,372 |
| hypoglycemia | Endocrine disorders | Systematic Assessment |
|
| hypotension | Vascular disorders | Systematic Assessment |
|
| hypokalemia | Metabolism and nutrition disorders | Systematic Assessment |
|
| hyperkalemia | Metabolism and nutrition disorders | Systematic Assessment |
|
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| D005261 |
| Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D052801 | Male Urogenital Diseases |
| D002908 | Chronic Disease |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D004700 | Endocrine System Diseases |