Multiple Organized Systems for Engaging Stroke (MOSES) (MOSES)

April 11, 2023 updated by: Montefiore Medical Center
Despite decades of national declines in stroke incidence, racial/ethnic and socioeconomic disparities in stroke prevalence and care remain pervasive and the gap in these disparities is widening. Those who identify as African American (AA) or Hispanic are 2-3 times more likely to have a stroke when compared to those who identify as non-Hispanic White (NHW) and are also less likely to receive guideline-based medical therapy (e.g. mechanical thrombectomy, intravenous thrombolysis, discharge antithrombotic/anticoagulant, smoking cessation education) after their stroke. Additionally, people living in underserved communities with high local social deprivation indices and decreased community-level healthcare access, have an increased population-level risk of stroke. These inequities are likely multi-factorial and in large part related to decreased access to health promotion and preventive care services, as well as social/economic constraints impeding patients' access and compliance with medical treatment recommendations. Innovations in patient-facing digital health technologies, such as telemedicine, remote patient monitoring (RPM), and patient-facing smart phone applications could help bridge the gaps in post stroke care in marginalized communities by providing more accessible, convenient and perhaps effective, health care services. A recent secondary stroke prevention trial with predominantly African American and Hispanic participants compared blood pressure control measured by RPM combined with telehealth support vs. standard office-based follow up and found improved adherence and risk factor control in the digitally assisted group. However, there is limited knowledge around the patient and provider-level barriers, and supportive and educational resources needed to translating these and other similar findings into practice, especially in high-risk communities. Importantly, the same barriers to adopting digitally assisted care delivery during transitions of care and in the management of high-risk groups are shared across a number of episodic (e.g. ACS), acute on chronic (e.g. asthma, COPD, heart failure, DKA) and chronic diseases (e.g. hypertension, renal failure).

Study Overview

Detailed Description

Studying the implementation and uptake of technology based interventions (TBIs) after acute stroke hospitalization, may offer an ideal touch point to better understanding common translational bottlenecks to adopting TBIs across a number of other healthcare settings. Multiple Organized Systems for Engaging Stroke (MOSES) will employ a pragmatic comparative effectiveness design to study standard stroke clinic follow up combined with RPM for blood pressure management and compare it to standard clinic follow, RPM and an added patient-facing smartphone application with educational modules and adherence incentives. The investigator team hypothesizes that combining RPM with a patient-facing application consisting of treatment adherence reminders, digital education and digital incentives, will lead to improved care delivery and better compliance. Additionally, patient and user-centered outcomes, as well as perceived barriers to implementation by key stakeholders, will be studied. If successful, MOSES could improve the understanding of shared translational barriers related to implementation and uptake of TBIs in high-risk populations during transitions of care. Insights may also be applicable to the use of non blood pressure RPM, such as in digital scales, glucometers and sleep study devices. The investigator team plans to test this hypothesis and study patient-centered outcomes through the following two AIMS:

Specific Aims Aim1: To develop a culturally tailored patient facing application as an ancillary educational resource to using RPM and to aid with treatment plan adherence in the transition of care after acute stroke. In months 1-3, the study team plans to adapt a culturally tailored patient-facing smartphone application already being used in diabetes care (DiabetesXcel - developed by the research team at Montefiore-Einstein); to provide education on risk factor control strategies including use of RPM, treatment adherence push notification reminders, and digital incentives (gamification vs non-fungible tokens) in patients with recent hospitalization for acute stroke (secondary stroke prevention). Using a mixed methods approach feedback on the use of RPM and resources to be provided as part of a smart phone applications from 10 patients and 5 providers will be elicited, including potential unanticipated or undesirable effects. This patient and provider-centered analyses of TBIs (RPM, digitally delivered feedback regarding BP, digital incentives) will be performed in the Montefiore Comprehensive Stroke Center (CSC) clinic setting. Outcomes will include qualitative patient and provider experiences with the TBIs including barriers and facilitators to the use of RPM and patient-facing application in the study population. The investigator team hypothesizes that TBIs in the form of RPM and patient facing applications will be associated with a high level of patient and provider satisfaction.

Aim 2: To evaluate the impact of remote patient monitoring (RPM) and a patient-facing application on health outcomes in patients with recent TIA or minor stroke. In months 4-10, the investigator team will conduct a pragmatic comparative effectiveness study comparing standard stroke clinic follow up combined with RPM to aid with blood pressure management (n=30) versus standard stroke clinic follow, RPM and an added patient-facing smartphone application with educational modules and adherence incentives (n=30). Outcomes will include recruitment, retention and follow up metrics, self-reported adherence to medication regimens and life-style recommendations, patient engagement with RPM data and patient-facing application, cost-effectiveness of the interventions and changes in blood pressure as well as biomarkers such as HbA1c or LDL cholesterol levels. The study team hypothesizes that RPM combined with a patient-facing application will improve patient reported and clinical outcomes of interest in the post-stroke transition of care setting.

Approach Overall, the outcomes for each of the study aims will allow for a comprehensive understanding of the impact of RPM and a patient-facing application on health outcomes, as well as the barriers and facilitators to implementation and the feasibility and acceptability of the interventions in a high-risk inner-city community. The mixed methods framework and comparative effectiveness approach will allow for both a quantitative and qualitative understanding of the complexity of implementing the TBIs in this population. Specifically, the study team will conduct focus group sessions with 10 patients and 5 providers in the stroke clinic (NP, MDs, administrators) to gauge perceived digital health needs and value, as well as perceived barriers to TBI use. This values inventory-or the identification of where key beliefs and conceptions converge and diverge between these stakeholder groups is essential for avoiding unintended bias, unintended consequences, and can help advance the success of TBI interventions for preventative and chronic disease management. Further, the investigator team will conduct theory-informed formative and summative evaluation (e.g. perceived usefulness, ease of use) to aid in the understanding of the stakeholder's comfort and trust in various currently used and more novel TBIs including novel concepts and technologies which are increasingly influencing healthcare delivery (gamification, non-fungible tokens, smart contracts, machine learning, automation, decentralized autonomous organizations). The investigator team plans to use the information to improve functionality and usability of TBIs and to iteratively refine the RPM and patient facing application. To evaluate the process of TBI implementation in the Montefiore CSC clinic the study team will use the RE-AIM framework to assess the intervention's Reach (recruitment and retention rates, representativeness of the study sample),

Study Type

Interventional

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • Diagnosis of recent TIA (<6 months) or minor stroke
  • discharged to home with stroke clinic follow up planned
  • modified Rankin score <3 at time of discharge.

Exclusion Criteria:

  • Cognitive impairment limiting compliance with the intervention
  • Modified Rankin score >2

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Health Services Research
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Intervention arm
standard stroke clinic follow, combined with remote patient blood pressure monitoring and an added patient-facing smartphone application with educational modules and adherence incentives (n=30).
Standard stroke follow up, RPM and a patient facing smartphone application containing real time BP feedback, educational models, treatment adherence push notification reminders, digital education and digital incentives (n=30). Outcomes will include recruitment, retention and follow up metrics, self-reported adherence to medication regimens and life-style recommendations, patient engagement with RPM data and patient-facing application, cost-effectiveness of the interventions and changes in blood pressure as well as biomarkers like LDL and Hemoglobin A1C.
Active Comparator: Control arm
standard stroke clinic follow up combined with remote blood pressure monitoring
Standard stroke clinic follow up and remote blood pressure monitoring (n=30). Outcomes will include qualitative patient and provider experiences with the TBIs including barriers and facilitators to the use of RPM and patient-facing application in the study population

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
patient satisfaction
Time Frame: 1 month

Telehealth Usability Questionnaire (TUQ) This is a 21 question survey which assesses 5 domains (usefulness, ease of use, reliability, effectiveness, satisfaction) of patient's satisfaction and usability of remote monitoring.

Each question is ranked from 1-7 with 7 defined as "strong agreement/satisfaction" Min score is 21, max score is 147. The higher the score the greater the satisfaction/usability

1 month
provider satisfaction
Time Frame: 1 month

Telehealth Usability Questionnaire (TUQ) This is a 21 question survey which assesses 5 domains (usefulness, ease of use, reliability, effectiveness, satisfaction) of a provider's satisfaction and usability of remote monitoring.

Each question is ranked from 1-7 with 7 defined as "strong agreement/satisfaction" Min score is 21, max score is 147 The higher the score the greater the satisfaction/usability

1 month
compliance with medical follow up and treatment plan
Time Frame: 1 month
defined by the number of telehealth visits over the course of the study Min is 0 and max is 10
1 month
medical knowledge of stroke symptoms
Time Frame: 1 month
ability to identify the symptoms of stroke defined by the BEFAST Criteria. Min is 0, max is score 6, with higher score defined as having greater medical knowledge of stroke symptoms
1 month

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
BP control
Time Frame: 1 month

the weekly average systolic, diastolic blood pressure, and mean arterial pressure over the course of the study. All weekly measures will be averaged. Any erroneous values that fall 2 standard deviations away from the mean will be excluded.

there is no min or max.

1 month
readmission rate
Time Frame: 30 days
readmission rate for stroke or other acute illness at 30 days
30 days

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Charles Esenwa, MD, Montefiore Medical Center

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Anticipated)

April 1, 2023

Primary Completion (Anticipated)

January 1, 2024

Study Completion (Anticipated)

March 1, 2024

Study Registration Dates

First Submitted

February 17, 2023

First Submitted That Met QC Criteria

March 9, 2023

First Posted (Actual)

March 22, 2023

Study Record Updates

Last Update Posted (Actual)

April 13, 2023

Last Update Submitted That Met QC Criteria

April 11, 2023

Last Verified

April 1, 2023

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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.

Clinical Trials on Stroke (CVA) or TIA

Clinical Trials on Standard of care, RPM and digital feedback

Subscribe