Cardiovascular Disease Clinical Trial
Official title:
PREDHICT: Precision Recruitment and Engagement of Diabetics and Hypertensives in Clinical Studies
Verified date | December 2021 |
Source | NYU Langone Health |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
For the sub-study, this digital navigation tool will both inform/educate, engage, support, and navigate participants and providers through the process of clinical trial participation via personalization (data profiling, adaptive and customized messaging, and tailored digital navigation) in a sample of 100 participants with diabetes and hypertension.
Status | Completed |
Enrollment | 100 |
Est. completion date | October 27, 2021 |
Est. primary completion date | October 27, 2021 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - NYU and/or Bellevue patient - Diagnosed with HTN and pre-diabetes/diabetes - Must be English speakers - Ownership of a smart phone and are willing to use it to download app built in TrialX which will be free for participants - Must be ambulatory Exclusion Criteria: - are unable or unwilling to provide informed consent; - are unable to participate meaningfully in an intervention that involves self-- monitoring using software available in English (e.g., due to uncorrected sight impairment, illiterate, non-English-speaking, dementia); - are institutionalized (e.g., in a nursing home or personal care facility, or those who - are incarcerated and have limited control over self-management) - have a history of heart disease, kidney disease, or retinopathy (to rule-out those with long-standing, undiagnosed T2D) |
Country | Name | City | State |
---|---|---|---|
United States | NYU Langone | New York | New York |
Lead Sponsor | Collaborator |
---|---|
NYU Langone Health |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Change in clinical trials participation Change in User Adherence | Will show that one-size-fits-all versus personalization leads to greater adherence. Adherence will be based on whether the subject met the daily and weekly behavior recommendations. | Baseline Visit, 4 week follow up visit, 6 month follow up visit | |
Primary | Change in glucose level Change in blood pressure | The amount of sugar levels will be determined the Harris-Benedict Calculator, which consists of height, weight, weight age and activity levels | Baseline Visit, 4 week follow up visit, 6 month follow up visit | |
Primary | Change in body mass index Change in blood pressure | Change in body mass index will be determined by the self reported information the vb=vodt | Baseline Visit, 4 week follow up visit, 6 month follow up visit | |
Primary | Change in physical activity | FitBit tracking will measure increase in physical activity adherence. | Baseline Visit, 4 week follow up visit, 6 month follow up visit | |
Primary | Change in physical activity by self-report | Increase in physical activity will be measured by self-report diaries collected by study staff through health and wellness app platforms. | Baseline Visit, 4 week follow up visit, 6 month follow up visit |
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