Acute Kidney InjuryUPTAKE-VCNCT06537453
UPTAKE - Virtual Care: Virtual Home Hospital With Remote Monitoring to Reduce Acute Care Hospitalization
A study testing Virtual Care in people with Acute Kidney Injury, run by University of Calgary at 2 sites in Canada.
Trial summary
Method: Randomized Controlled Trial Study Duration: 3 Years Study Centre(s) University of Calgary and University of Alberta Objectives: To fill care gaps by implementing strategies to reduce length of hospital stay, readmission rates, and improve long-term outcomes after Acute Kidney Injury (AKI). Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Acute Kidney Injury
- What is being tested?
- Virtual Care
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 354 participants
- Where
- 2 sitesCanada
- Study dates
- 10 Aug 2024to 31 Oct 2026
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Age ≥ 18 years old.
- AKI identified in hospital using Kidney Disease Improving Global Outcomes (KDIGO) criteria17.
- Hospitalization > 48 hours.
- LACE (L= Length patient Stay in the hospital, A= Acuity of Admission of patient in the hospital, C= Comorbidity and E= Emergency Visit.) Score 12 or higher.
- Meets all inclusion criteria of Virtual Home Hospital programs of Calgary and Edmonton zones.
Who cannot join
- Non-Alberta residents.
- Resides outside the catchment areas for the Calgary and Edmonton Virtual Home Hospital programs.
- C1 or C2 goals of care.
- Hospitalization > 30 days.
- Will be discharged to long-term care.
- Kidney failure receiving dialysis.
- Already admitted in Virtual Home Hospital Program
Trial locations and contacts
2 sites in 1 country. Contact the study team or a site near you to ask about taking part.
Canada2 sites, 2 recruiting
- Recruiting
University of Calgary
Calgary, Alberta, T2N 1N4
Nusrat Shommu, PhD, 4032103991, nsshommu@ucalgary.ca
Matthew T James, MD PhD FRCPC
- Recruiting
University of Alberta
Edmonton, Alberta, T6G 2G3
Eila Mirhadi, MSc, mirhadi@ualberta.ca
Neesh Pannu, MD SM FRCPC
About this study
Official title: Using Personalized Risk and Digital Tools to Guide Transitions Following Acute Kidney Events - Virtual Care: Virtual Home Hospital With Remote Monitoring to Reduce Acute Care Hospitalization
Method: Randomized Controlled Trial Study Duration: 3 Years Study Centre(s) University of Calgary and University of Alberta Objectives: To fill care gaps by implementing strategies to reduce length of hospital stay, readmission rates, and improve long-term outcomes after Acute Kidney Injury (AKI). Number of Participants: Three Hundred and fifty four (n=354) Diagnosis and Main Inclusion Criteria: Hospitalized adults with AKI at high risk of hospital readmission or death
Study Intervention: Multi-component Digital Health Solutions, including:
- Computerized Clinical Decision Support (CDS) and
- Virtual Care Delivered through Hospital at Home (VC) Duration of administration: Determined by the Patient's clinical team Reference therapy: Usual Care Statistical Analyses: Descriptive Analysis, Regression
Read the detailed description
- Background and Rationale Acute kidney injury (AKI) is a common and serious complication in hospitals. A major care gap for survivors of AKI is the fragmentation of care that exists as they transition from the hospital to their home. This contributes to a high risk of adverse long-term outcomes, including prolonged hospitalization, high rates of readmission, cardiovascular events, infections, progression to chronic kidney disease (CKD), kidney failure requiring dialysis, and death. To address this challenge, the investigators are implementing multi-component digital health solutions including Computerized Clinical Decision Support (CDS) and Digital Remote Patient Monitoring (dRPM) through Virtual Care (VC) programs in Alberta to reduce length of hospital stay and readmission rates and improve long-term outcomes after AKI. Evidence of the effectiveness of the two digital health solutions is available from Alberta and international clinical trials. Our team previously implemented a computerized CDS intervention for AKI risk assessment and prevention and achieved improved AKI prevention and reduced AKI incidence after cardiac procedures across the province. The investigators will use a similar approach to identify high risk patients with AKI and provide recommendations to improve the quality of their care, which is well suited to the evolving digital health infrastructure in Alberta. Providing hospital-level care at home through Virtual Care (VC) teams has been shown to reduce mortality and readmission rates. Alberta's VC program have existed in both Edmonton and Calgary since 2018 and have reported lower readmission rates, Emergency Department (ED) visits and use of Emergency Medical Services than observed with usual care. Patients reported that the program helped them regain their independence and function. Alberta's VC programs have implemented dRPM technology, which has been further associated with fewer days in hospital and emergency department visits. Patients reported better quality of care using this technology. The framework for dRPM and complex care planning is already in place in Alberta's Virtual Care programs. The investigators intend to utilize these programs to improve transitions of care through early facilitated discharge and enhanced follow-up of patients with AKI at high risk of hospital readmission, who require frequent monitoring and more intensive care strategies during this vulnerable period of transition in care.
- Research Question and Objectives
- Implement and evaluate a transition of care intervention for patients with AKI.
- Integrate digital health solutions that can achieve levels of monitoring and care in a patient's own home that are comparable to acute care, while transitioning care to the community setting.
- Reduce the length of hospital stay and risk of hospital readmission for people with AKI.
- Improve the long-term outcomes after hospitalization with AKI.
- Methods
The investigators will evaluate implementation initially in a Vanguard phase to establish feasibility and acceptability of the intervention, followed by an evaluation of implementation and effectiveness of the intervention in a larger Multicenter Randomized Controlled Trial (RCT). High risk patients with AKI and a predicted risk of readmission or death ≥20% will be identified using a Best Practice Alert (BPA) in Connect Care and participants will be randomized to care with or without virtual monitoring through the VC programs. All patients will receive the same baseline interventions refined in the Vanguard phase, while the intervention arm will additionally receive VC with dRPM following discharge.
High risk patients in the intervention arm will be navigated through the transition of care pathway by a trained nurse navigator. Patients will receive dRPM kits, and biometric data will be automatically uploaded to the web-based monitoring platform and reviewed by the nurse navigator. Patients will receive regular virtual assessments via telephone or videoconferencing (via the tablet) after in-patient discharge. Blood tests will be drawn at home by community paramedics as deemed necessary by the clinical team to assess kidney function and monitor for complications of AKI. Should concerns be identified that warrant in-person assessment, paramedic care teams will be sent for assessment and/or intervention. Upon completion of the intervention patients will be assessed for readiness to move to the subacute arms of the program and return to their primary care provider. If ongoing nephrologist or other specialist care is required, the nurse navigator will ensure appropriate follow up is arranged.
- Conditions
- Acute Kidney Injury
- Being tested
- Virtual Care
- Medical subject headings
- Acute Kidney Injury
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Virtual CareOther
Participants will go through Virtual hospital programs following the processes established by these programs in Alberta.
| Study group | Role | What they receive |
|---|---|---|
| Virtual Care | Experimental | Participants will receive virtual care through Virtual Home Hospital programs in Alberta for their hospital to home transition of care. Receives: Other: Virtual Care |
| Usual Care | No intervention | Participants will be discharged as per usual care practices from hospital to their home. |
What is being measured
The primary outcome is the main question the study is designed to answer.
the number of days alive out of hospital
the number of days alive out of hospital
Measured: Up to 45 days from the date of randomization
Secondary outcomes (12)
the time as inpatient in hospital
the time as inpatient in hospital
Measured: Up to 45 days from the date of randomization
death
death records from health administrative data.
Measured: from the date of randomization up to 45 days, or date of death from any cause, whichever came first,
hospital readmission
hospital readmission records from health administrative data.
Measured: Up to 45 days from the date of randomization
Emergency Department visits
Emergency Department visit records from health administrative data.
Measured: Up to 45 days from the date of randomization
Estimated Glomerular Filtration (eGFR)
eGFR
Measured: At 90 days after the date of randomization
Urine Albumin Creatinine Ration (ACR)
ACR laboratory test
Measured: At 90 days after the date of randomization
total number of physician visits
total number of physician visits
Measured: Up to 45 days from the date of randomization
number of physician visits by specialty
primary care vs. non-primary care
Measured: Up to 45 days from the date of randomization
Changes to medication prescription
Changes to medication prescription (including starting, stopping, or dose adjustment) of an Angiotensin-Converting Enzyme Inhibitors (ACEI)/Angiotensin receptor blockers (ARB), diuretic, SGLT2 inhibitor, or NSAID or administration of IV fluid
Measured: Up to 45 days from the date of randomization
laboratory testing
Number of creatinine/eGFR, electrolytes, and urine protein quantification
Measured: Up to 45 days from the date of randomization
patient experience care transition measure
Online Survey
Measured: At 45 days after the date of randomization
Euro Qol- 5 Dimension (EQ5D)
Online Survey to assess quality of life mobility, self-care, usual activities, pain/discomfort, and anxiety/depression. Each dimension is scored on a 5-level severity ranking that ranges from "no problems" to "extreme problems
Measured: At 45 days after the date of randomization
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted5 Aug 2024
- Study start10 Aug 2024
- Primary completion10 Aug 2026 (estimated)
- Study completion31 Oct 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (9)Papers the sponsor has linked to this study.
- Other trials for Acute Kidney InjuryStudies of the same condition, open and under way.
- More trials run by University of CalgaryThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- One group will receive the Virtual Care Intervention through Virtual Home Hospitals and other group will receive Usual Care.
- Masking
- Single blind
- Who is masked
- Outcomes assessor
- Enrolment
- 354 participants (estimated)
Sponsor and investigators
- Lead sponsor
- University of Calgary
- Sponsor type
- University, hospital or other
- Collaborators
- Alberta Health services
- Responsible party
- Sponsor
- Investigators
- Matthew James, MD, Principal investigator, University of Calgary
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06537453
- Sponsor's protocol ID
- REB23-0762
- Acronym
- UPTAKE-VC
- Status last verified
- Apr 2026
- First submitted
- 29 Jul 2024
- Last updated
- 14 May 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Publications
Kawamoto K, Houlihan CA, Balas EA, Lobach DF. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. BMJ. 2005 Apr 2;330(7494):765. doi: 10.1136/bmj.38398.500764.8F. Epub 2005 Mar 14.
PubMed 15767266Roshanov PS, Fernandes N, Wilczynski JM, Hemens BJ, You JJ, Handler SM, Nieuwlaat R, Souza NM, Beyene J, Van Spall HG, Garg AX, Haynes RB. Features of effective computerised clinical decision support systems: meta-regression of 162 randomised trials. BMJ. 2013 Feb 14;346:f657. doi: 10.1136/bmj.f657.
PubMed 23412440James MT, Har BJ, Tyrrell BD, Faris PD, Tan Z, Spertus JA, Wilton SB, Ghali WA, Knudtson ML, Sajobi TT, Pannu NI, Klarenbach SW, Graham MM. Effect of Clinical Decision Support With Audit and Feedback on Prevention of Acute Kidney Injury in Patients Undergoing Coronary Angiography: A Randomized Clinical Trial. JAMA. 2022 Sep 6;328(9):839-849. doi: 10.1001/jama.2022.13382.
PubMed 36066520James MT, Har BJ, Tyrrell BD, Ma B, Faris P, Sajobi TT, Allen DW, Spertus JA, Wilton SB, Pannu N, Klarenbach SW, Graham MM. Clinical Decision Support to Reduce Contrast-Induced Kidney Injury During Cardiac Catheterization: Design of a Randomized Stepped-Wedge Trial. Can J Cardiol. 2019 Sep;35(9):1124-1133. doi: 10.1016/j.cjca.2019.06.002. Epub 2019 Jun 7.
PubMed 31472811Caplan GA, Sulaiman NS, Mangin DA, Aimonino Ricauda N, Wilson AD, Barclay L. A meta-analysis of "hospital in the home". Med J Aust. 2012 Nov 5;197(9):512-9. doi: 10.5694/mja12.10480.
PubMed 23121588Goncalves-Bradley DC, Iliffe S, Doll HA, Broad J, Gladman J, Langhorne P, Richards SH, Shepperd S. Early discharge hospital at home. Cochrane Database Syst Rev. 2017 Jun 26;6(6):CD000356. doi: 10.1002/14651858.CD000356.pub4.
PubMed 28651296Grinman, M., Kozicky, R. & Smith, M. Bringing Acute General Internal Medicine Outside of Hospital Walls. Canadian Journal of General Internal Medicine 17, 548 (2022
Gibbons-Reid, V., Wodinski, L. & Reynolds, C. Early Adoption & Implementation of Digital Remote Patient Monitoring in Virtual Hospital Care: Evaluation Report. Health Systems Evaluation and Evidence. (2021).
McGillion MH, Parlow J, Borges FK, Marcucci M, Jacka M, Adili A, Lalu MM, Ouellette C, Bird M, Ofori S, Roshanov PS, Patel A, Yang H, O'Leary S, Tandon V, Hamilton GM, Mrkobrada M, Conen D, Harvey V, Lounsbury J, Mian R, Bangdiwala SI, Arellano R, Scott T, Guyatt GH, Gao P, Graham M, Nenshi R, Forster AJ, Nagappa M, Levesque K, Marosi K, Chaudhry S, Haider S, Deuchar L, LeBlanc B, McCartney CJL, Schemitsch EH, Vincent J, Pettit SM, DuMerton D, Paulin AD, Simunovic M, Williams DC, Halman S, Harlock J, Meyer RM, Taylor DA, Shanthanna H, Schlachta CM, Parry N, Pichora DR, Yousuf H, Peter E, Lamy A, Petch J, Moloo H, Sehmbi H, Waggott M, Shelley J, Belley-Cote EP, Devereaux PJ; PVC-RAM-1 Investigators. Post-discharge after surgery Virtual Care with Remote Automated Monitoring-1 (PVC-RAM-1) technology versus standard care: randomised controlled trial. BMJ. 2021 Sep 30;374:n2209. doi: 10.1136/bmj.n2209.
PubMed 34593374
Study at a glance
From the registry record, last updated by the sponsor on 14 May 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Using Personalized Risk and Digital Tools to Guide Transitions Following Acute Kidney Events - Virtual Care: Virtual Home Hospital With Remote Monitoring to Reduce Acute Care Hospitalization
- ClinicalTrials.gov ID
- NCT06537453
- Acronym / sponsor ID
- UPTAKE-VC / REB23-0762
- Conditions
- Acute Kidney Injury
- Study type
- Interventional
- Recruitment status
- Recruiting
- Enrolment
- 354 participants (estimated)
- Lead sponsor
- University of CalgaryUniversity, hospital or other
- Collaborators
- Alberta Health services
- Study start
- 10 Aug 2024 (actual)
- Primary completion
- 10 Aug 2026 (estimated)
- Study completion
- 31 Oct 2026 (estimated)
- First posted
- 5 Aug 2024 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Method: Randomized Controlled Trial Study Duration: 3 Years Study Centre(s) University of Calgary and University of Alberta Objectives: To fill care gaps by implementing strategies to reduce length of hospital stay, readmission rates, and improve long-term outcomes after Acute Kidney Injury (AKI). Number of Participants: Three Hundred and fifty four (n=354) Diagnosis and Main Inclusion Criteria: Hospitalized adults with AKI at high risk of hospital readmission or death
Study Intervention: Multi-component Digital Health Solutions, including:
- Computerized Clinical Decision Support (CDS) and
- Virtual Care Delivered through Hospital at Home (VC) Duration of administration: Determined by the Patient's clinical team Reference therapy: Usual Care Statistical Analyses: Descriptive Analysis, Regression
Detailed description
- Background and Rationale Acute kidney injury (AKI) is a common and serious complication in hospitals. A major care gap for survivors of AKI is the fragmentation of care that exists as they transition from the hospital to their home. This contributes to a high risk of adverse long-term outcomes, including prolonged hospitalization, high rates of readmission, cardiovascular events, infections, progression to chronic kidney disease (CKD), kidney failure requiring dialysis, and death. To address this challenge, the investigators are implementing multi-component digital health solutions including Computerized Clinical Decision Support (CDS) and Digital Remote Patient Monitoring (dRPM) through Virtual Care (VC) programs in Alberta to reduce length of hospital stay and readmission rates and improve long-term outcomes after AKI. Evidence of the effectiveness of the two digital health solutions is available from Alberta and international clinical trials. Our team previously implemented a computerized CDS intervention for AKI risk assessment and prevention and achieved improved AKI prevention and reduced AKI incidence after cardiac procedures across the province. The investigators will use a similar approach to identify high risk patients with AKI and provide recommendations to improve the quality of their care, which is well suited to the evolving digital health infrastructure in Alberta. Providing hospital-level care at home through Virtual Care (VC) teams has been shown to reduce mortality and readmission rates. Alberta's VC program have existed in both Edmonton and Calgary since 2018 and have reported lower readmission rates, Emergency Department (ED) visits and use of Emergency Medical Services than observed with usual care. Patients reported that the program helped them regain their independence and function. Alberta's VC programs have implemented dRPM technology, which has been further associated with fewer days in hospital and emergency department visits. Patients reported better quality of care using this technology. The framework for dRPM and complex care planning is already in place in Alberta's Virtual Care programs. The investigators intend to utilize these programs to improve transitions of care through early facilitated discharge and enhanced follow-up of patients with AKI at high risk of hospital readmission, who require frequent monitoring and more intensive care strategies during this vulnerable period of transition in care.
- Research Question and Objectives
- Implement and evaluate a transition of care intervention for patients with AKI.
- Integrate digital health solutions that can achieve levels of monitoring and care in a patient's own home that are comparable to acute care, while transitioning care to the community setting.
- Reduce the length of hospital stay and risk of hospital readmission for people with AKI.
- Improve the long-term outcomes after hospitalization with AKI.
- Methods
The investigators will evaluate implementation initially in a Vanguard phase to establish feasibility and acceptability of the intervention, followed by an evaluation of implementation and effectiveness of the intervention in a larger Multicenter Randomized Controlled Trial (RCT). High risk patients with AKI and a predicted risk of readmission or death ≥20% will be identified using a Best Practice Alert (BPA) in Connect Care and participants will be randomized to care with or without virtual monitoring through the VC programs. All patients will receive the same baseline interventions refined in the Vanguard phase, while the intervention arm will additionally receive VC with dRPM following discharge.
High risk patients in the intervention arm will be navigated through the transition of care pathway by a trained nurse navigator. Patients will receive dRPM kits, and biometric data will be automatically uploaded to the web-based monitoring platform and reviewed by the nurse navigator. Patients will receive regular virtual assessments via telephone or videoconferencing (via the tablet) after in-patient discharge. Blood tests will be drawn at home by community paramedics as deemed necessary by the clinical team to assess kidney function and monitor for complications of AKI. Should concerns be identified that warrant in-person assessment, paramedic care teams will be sent for assessment and/or intervention. Upon completion of the intervention patients will be assessed for readiness to move to the subacute arms of the program and return to their primary care provider. If ongoing nephrologist or other specialist care is required, the nurse navigator will ensure appropriate follow up is arranged.
Study design
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (outcomes assessor)
- Number of arms
- 2
- Model description
- One group will receive the Virtual Care Intervention through Virtual Home Hospitals and other group will receive Usual Care.
| Arm | Type | Receives |
|---|---|---|
| Virtual Care | Experimental | Other: Virtual CareParticipants will receive virtual care through Virtual Home Hospital programs in Alberta for their hospital to home transition of care. |
| Usual Care | No intervention | –Participants will be discharged as per usual care practices from hospital to their home. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (5 listed)
- Age ≥ 18 years old.
- AKI identified in hospital using Kidney Disease Improving Global Outcomes (KDIGO) criteria17.
- Hospitalization > 48 hours.
- LACE (L= Length patient Stay in the hospital, A= Acuity of Admission of patient in the hospital, C= Comorbidity and E= Emergency Visit.) Score 12 or higher.
- Meets all inclusion criteria of Virtual Home Hospital programs of Calgary and Edmonton zones.
Key exclusion criteria (7 listed)
- Non-Alberta residents.
- Resides outside the catchment areas for the Calgary and Edmonton Virtual Home Hospital programs.
- C1 or C2 goals of care.
- Hospitalization > 30 days.
- Will be discharged to long-term care.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Virtual CareParticipants will go through Virtual hospital programs following the processes established by these programs in Alberta. | Other | Virtual Care |
Primary outcome
the number of days alive out of hospital
Time frame: Up to 45 days from the date of randomization
the number of days alive out of hospital
12 secondary outcomes
the time as inpatient in hospital
Time frame: Up to 45 days from the date of randomization
death
Time frame: from the date of randomization up to 45 days, or date of death from any cause, whichever came first,
hospital readmission
Time frame: Up to 45 days from the date of randomization
Emergency Department visits
Time frame: Up to 45 days from the date of randomization
Estimated Glomerular Filtration (eGFR)
Time frame: At 90 days after the date of randomization
Urine Albumin Creatinine Ration (ACR)
Time frame: At 90 days after the date of randomization
total number of physician visits
Time frame: Up to 45 days from the date of randomization
number of physician visits by specialty
Time frame: Up to 45 days from the date of randomization
Changes to medication prescription
Time frame: Up to 45 days from the date of randomization
laboratory testing
Time frame: Up to 45 days from the date of randomization
patient experience care transition measure
Time frame: At 45 days after the date of randomization
Euro Qol- 5 Dimension (EQ5D)
Time frame: At 45 days after the date of randomization
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 14 May 2026.
- Background: PubMed 15767266Kawamoto K, Houlihan CA, Balas EA, Lobach DF. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. BMJ. 2005 Apr 2;330(7494):765. doi: 10.1136/bmj.38398.500764.8F. Epub 2005 Mar 14.
- Background: PubMed 23412440Roshanov PS, Fernandes N, Wilczynski JM, Hemens BJ, You JJ, Handler SM, Nieuwlaat R, Souza NM, Beyene J, Van Spall HG, Garg AX, Haynes RB. Features of effective computerised clinical decision support systems: meta-regression of 162 randomised trials. BMJ. 2013 Feb 14;346:f657. doi: 10.1136/bmj.f657.
- Background: PubMed 36066520James MT, Har BJ, Tyrrell BD, Faris PD, Tan Z, Spertus JA, Wilton SB, Ghali WA, Knudtson ML, Sajobi TT, Pannu NI, Klarenbach SW, Graham MM. Effect of Clinical Decision Support With Audit and Feedback on Prevention of Acute Kidney Injury in Patients Undergoing Coronary Angiography: A Randomized Clinical Trial. JAMA. 2022 Sep 6;328(9):839-849. doi: 10.1001/jama.2022.13382.
- Background: PubMed 31472811James MT, Har BJ, Tyrrell BD, Ma B, Faris P, Sajobi TT, Allen DW, Spertus JA, Wilton SB, Pannu N, Klarenbach SW, Graham MM. Clinical Decision Support to Reduce Contrast-Induced Kidney Injury During Cardiac Catheterization: Design of a Randomized Stepped-Wedge Trial. Can J Cardiol. 2019 Sep;35(9):1124-1133. doi: 10.1016/j.cjca.2019.06.002. Epub 2019 Jun 7.
- Background: PubMed 23121588Caplan GA, Sulaiman NS, Mangin DA, Aimonino Ricauda N, Wilson AD, Barclay L. A meta-analysis of "hospital in the home". Med J Aust. 2012 Nov 5;197(9):512-9. doi: 10.5694/mja12.10480.
- Background: PubMed 28651296Goncalves-Bradley DC, Iliffe S, Doll HA, Broad J, Gladman J, Langhorne P, Richards SH, Shepperd S. Early discharge hospital at home. Cochrane Database Syst Rev. 2017 Jun 26;6(6):CD000356. doi: 10.1002/14651858.CD000356.pub4.
- BackgroundGrinman, M., Kozicky, R. & Smith, M. Bringing Acute General Internal Medicine Outside of Hospital Walls. Canadian Journal of General Internal Medicine 17, 548 (2022
- BackgroundGibbons-Reid, V., Wodinski, L. & Reynolds, C. Early Adoption & Implementation of Digital Remote Patient Monitoring in Virtual Hospital Care: Evaluation Report. Health Systems Evaluation and Evidence. (2021).
- Background: PubMed 34593374McGillion MH, Parlow J, Borges FK, Marcucci M, Jacka M, Adili A, Lalu MM, Ouellette C, Bird M, Ofori S, Roshanov PS, Patel A, Yang H, O'Leary S, Tandon V, Hamilton GM, Mrkobrada M, Conen D, Harvey V, Lounsbury J, Mian R, Bangdiwala SI, Arellano R, Scott T, Guyatt GH, Gao P, Graham M, Nenshi R, Forster AJ, Nagappa M, Levesque K, Marosi K, Chaudhry S, Haider S, Deuchar L, LeBlanc B, McCartney CJL, Schemitsch EH, Vincent J, Pettit SM, DuMerton D, Paulin AD, Simunovic M, Williams DC, Halman S, Harlock J, Meyer RM, Taylor DA, Shanthanna H, Schlachta CM, Parry N, Pichora DR, Yousuf H, Peter E, Lamy A, Petch J, Moloo H, Sehmbi H, Waggott M, Shelley J, Belley-Cote EP, Devereaux PJ; PVC-RAM-1 Investigators. Post-discharge after surgery Virtual Care with Remote Automated Monitoring-1 (PVC-RAM-1) technology versus standard care: randomised controlled trial. BMJ. 2021 Sep 30;374:n2209. doi: 10.1136/bmj.n2209.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Matthew James, MD principal investigator
University of Calgary
2 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Virtual Care in people with Acute Kidney Injury, run by University of Calgary at 2 sites in Canada.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 5 inclusion and 7 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 14 May 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 2 sites in Canada. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Director (+1 (403) 210. 6730, cccr@ucalgary.ca), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
the number of days alive out of hospital (time frame: Up to 45 days from the date of randomization). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT06537453, which also lists 9 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 14 May 2026.