Evaluation of Nurse-led Integrated Care of Complex Patients Facilitated By Telemonitoring: The SMaRT Study
NCT ID: NCT05543720
Last Updated: 2024-05-28
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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RECRUITING
NA
350 participants
INTERVENTIONAL
2022-10-17
2025-09-30
Brief Summary
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In order to address this increasing need to bridge the current gap in clinical management and self-care of complex patients during their transition from healthcare settings to home care, our team aims to design, implement and evaluate the SMaRT (Safe, Managed, and Responsive Transitions) Clinic, a nurse-led integrated care model facilitated by telemonitoring (TM). Specifically, the SMaRT Clinics aim to meaningfully introduce a nurse (or nurse practitioner) role to improve clinical coordination across patient care teams and reinforce proper self-care education through the use of telemonitoring. This project will be conducted in two phases across four years; Phase I: Design and Development, and Phase II: Implementation and Effectiveness Evaluation. Phase II research activities include enrolling 350 patients with complex chronic conditions in the SMaRT clinics across four study sites. The implementation and effectiveness of the SMaRT clinics will be evaluated through a mix of semi-structured interviews, ethnographic observation, patient questionnaires, and analyses of health utilization outcomes using propensity-matched controls from the ICES provincial database.
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Detailed Description
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The patient-facing technology includes the Medly smartphone application (app). The app enables patients to complete symptom surveys and record physiological measures using peripheral devices relevant to their chronic condition (e.g., weight scale, blood pressure monitor, and/or blood glucose monitoring). Designed as a modular app, features and parameters to be monitored can be added and removed, and target values for each parameter (e.g. blood pressure) can be individualized according to the needs of each patient. The inputted measures are processed by an embedded rules-based algorithm (customized to the patient by the setting of target thresholds) which triggers appropriate self-care messages being displayed to the patient within the app (e.g., instructing patients to take their prescribed medication, informing patients to contact their care team, etc.). Other features of the Medly app include the ability to view a historical record of their inputted readings, view graphical trends of blood glucose and blood pressure values, and to assist with adherence, an automated phone call to remind patients if they have not yet taken their readings by the appropriate time for their condition.
The clinician-facing technology includes the Medly dashboard. To support clinical decision-making, clinicians are alerted to clinically significant changes to patient health status and are able to assess alerts generated by the embedded algorithm and review patient data, including which parameters triggered the alert, prescribed medications, graphical trends of lab results and relevant measures, and contact information. Clinicians may also be informed of triggered alerts through email notifications. Information presented on the Medly dashboard may be leveraged to inform clinical decision-making throughout the patient's follow-up care journey.
Conditions
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Study Design
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NON_RANDOMIZED
PARALLEL
HEALTH_SERVICES_RESEARCH
NONE
Study Groups
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Control
Control groups will be compared to 350 patients who received standard of care via propensity-matched controls from the ICES provincial database.
No interventions assigned to this group
Telemonitoring (Medly MCC)
Medly is a smartphone application allows patients with heart failure, diabetes, depression, hypertension, and/or COPD to measure and record their daily self-reported symptoms. This monitoring information is then transmitted wirelessly to a data server where an algorithm is used to generate an alert to a healthcare provider as necessary. The patient also receives an automated self-care message based on their measurements and reported symptoms.
Medly
Medly will enable patients with HF, COPD, Hypertension, Mental Health, or Diabetes to input measurements with wireless home medical devices and to answer symptom questions on the smartphone. The measurements will be automatically and wirelessly transmitted to the mobile phone and then to a data server. Automated self-care instructions/messages will be sent to the patient based on the readings and reported symptoms. If there are signs of their status deteriorating, an alert will be sent to a clinician that is responsible for the particular chronic condition of concern. The clinicians will have all the relevant patient data sent to them and will be able to access (through a secure web portal) to view historical and trending data for their patients.
Interventions
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Medly
Medly will enable patients with HF, COPD, Hypertension, Mental Health, or Diabetes to input measurements with wireless home medical devices and to answer symptom questions on the smartphone. The measurements will be automatically and wirelessly transmitted to the mobile phone and then to a data server. Automated self-care instructions/messages will be sent to the patient based on the readings and reported symptoms. If there are signs of their status deteriorating, an alert will be sent to a clinician that is responsible for the particular chronic condition of concern. The clinicians will have all the relevant patient data sent to them and will be able to access (through a secure web portal) to view historical and trending data for their patients.
Eligibility Criteria
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Inclusion Criteria
2. Discharged from hospital or seen within 48 hours of discharge at Health Sciences North (HSN), William Osler Health Systems (WOHS), Women's College Hospital (WCH), and Markham Stouffville Hospital (MSH).
3. Have at least one complex chronic condition (i.e., heart failure, complex obstructive pulmonary disease (COPD), hypertension, diabetes, and/or depression) that would benefit if monitored through telemonitoring.
4. Able to comply with use of the telemonitoring application and applicable peripheral devices (e.g., able to stand on the weight scale, able to answer symptom questions, etc.)
5. Able to read, write and speak English or have a caregiver who is able to do so on their behalf.
6. Patients must have been discharged from hospital within 2 weeks during their recruitment into the study (or will be recruited prior to their discharge).
Exclusion Criteria
18 Years
ALL
No
Sponsors
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Markham Stouffville Hospital
OTHER
William Osler Health System
OTHER
Health Sciences North
OTHER
Women's College Hospital
OTHER
University Health Network, Toronto
OTHER
Responsible Party
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Principal Investigators
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Emily Seto, PhD
Role: PRINCIPAL_INVESTIGATOR
University of Toronto
Locations
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William Osler Health System
Brampton, Ontario, Canada
Health Sciences North
Greater Sudbury, Ontario, Canada
Oak Valley Health Hospital
Markham, Ontario, Canada
Women's College Hospital
Toronto, Ontario, Canada
Countries
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Central Contacts
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Facility Contacts
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Robert Ohle
Role: primary
Paul Lee
Role: primary
Jennifer Price
Role: primary
References
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Van Spall HGC, Rahman T, Mytton O, Ramasundarahettige C, Ibrahim Q, Kabali C, Coppens M, Brian Haynes R, Connolly S. Comparative effectiveness of transitional care services in patients discharged from the hospital with heart failure: a systematic review and network meta-analysis. Eur J Heart Fail. 2017 Nov;19(11):1427-1443. doi: 10.1002/ejhf.765. Epub 2017 Feb 24.
Haggerty JL, Reid RJ, Freeman GK, Starfield BH, Adair CE, McKendry R. Continuity of care: a multidisciplinary review. BMJ. 2003 Nov 22;327(7425):1219-21. doi: 10.1136/bmj.327.7425.1219.
Seto E, Leonard KJ, Cafazzo JA, Masino C, Barnsley J, Ross HJ. Self-care and quality of life of heart failure patients at a multidisciplinary heart function clinic. J Cardiovasc Nurs. 2011 Sep-Oct;26(5):377-85. doi: 10.1097/JCN.0b013e31820612b8.
Liddy C, Blazkho V, Mill K. Challenges of self-management when living with multiple chronic conditions: systematic review of the qualitative literature. Can Fam Physician. 2014 Dec;60(12):1123-33.
Gordon K, Gray CS, Dainty KN, deLacy J, Seto E. Nurse-Led Models of Care for Patients with Complex Chronic Conditions: A Scoping Review. Nurs Leadersh (Tor Ont). 2019 Sep;32(3):57-76. doi: 10.12927/cjnl.2019.25972.
Gordon K, Dainty KN, Steele Gray C, DeLacy J, Shah A, Seto E. Normalizing Telemonitoring in Nurse-Led Care Models for Complex Chronic Patient Populations: Case Study. JMIR Nurs. 2022 Apr 28;5(1):e36346. doi: 10.2196/36346.
Gordon K, Dainty KN, Steele Gray C, DeLacy J, Shah A, Resnick M, Seto E. Experiences of Complex Patients With Telemonitoring in a Nurse-Led Model of Care: Multimethod Feasibility Study. JMIR Nurs. 2020 Sep 29;3(1):e22118. doi: 10.2196/22118.
Gordon K, Steele Gray C, Dainty KN, DeLacy J, Ware P, Seto E. Exploring an Innovative Care Model and Telemonitoring for the Management of Patients With Complex Chronic Needs: Qualitative Description Study. JMIR Nurs. 2020 Mar 6;3(1):e15691. doi: 10.2196/15691. eCollection 2020 Jan-Dec.
Ware P, Shah A, Ross HJ, Logan AG, Segal P, Cafazzo JA, Szacun-Shimizu K, Resnick M, Vattaparambil T, Seto E. Challenges of Telemonitoring Programs for Complex Chronic Conditions: Randomized Controlled Trial With an Embedded Qualitative Study. J Med Internet Res. 2022 Jan 26;24(1):e31754. doi: 10.2196/31754.
Seto E, Leonard KJ, Cafazzo JA, Barnsley J, Masino C, Ross HJ. Mobile phone-based telemonitoring for heart failure management: a randomized controlled trial. J Med Internet Res. 2012 Feb 16;14(1):e31. doi: 10.2196/jmir.1909.
Other Identifiers
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510037
Identifier Type: OTHER_GRANT
Identifier Source: secondary_id
SMaRT Study
Identifier Type: OTHER
Identifier Source: secondary_id
21-5835
Identifier Type: -
Identifier Source: org_study_id
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