PREDHICT: Precision Recruitment and Engagement of Diabetics and Hypertensives in Clinical Studies
1 other identifier
interventional
100
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Oct 2020
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
January 9, 2020
CompletedFirst Posted
Study publicly available on registry
February 26, 2020
CompletedStudy Start
First participant enrolled
October 20, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 27, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
October 27, 2021
CompletedDecember 10, 2021
December 1, 2021
1 year
January 9, 2020
December 7, 2021
Conditions
Outcome Measures
Primary Outcomes (5)
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
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
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
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
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
Study Arms (2)
Control group
ACTIVE COMPARATORParticipants will receive non-personalized information (one-size-fits-all) diet, sleep and physical activity recommendations via messaging delivered by app.
Intervention Group
EXPERIMENTALParticipants will receive personalized messages about achieving healthy diet, physical activity and sleep as well as summary of their performance for the week and month. They will also receive personalized content about research volunteerism and altruistic activities.
Interventions
will receive standard medical care where research assistant will give pamphlets, with one size fits all recommendations for diet/nutrition, physical activity and sleep, to 10 subjects with comorbid HTN and T2D.
Will use passive ubiquitous sensing through FitBit to 1)learn behavioral profiles of subjects who have pre-HTN/HTN and/or pre-diabetes /Diabetes 2) provide personalized recommendations through mobile based messaging app that will increase the likelihood of engaging in health diet/nutrition, physical activity and sleep practices
Eligibility Criteria
You may qualify if:
- 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
You may not qualify if:
- 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)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
NYU Langone
New York, New York, 10016, United States
MeSH Terms
Conditions
Interventions
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Azizi Seixas
NYU Langone
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
January 9, 2020
First Posted
February 26, 2020
Study Start
October 20, 2020
Primary Completion
October 27, 2021
Study Completion
October 27, 2021
Last Updated
December 10, 2021
Record last verified: 2021-12
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- ICF
- Time Frame
- Proposals may be submitted up to 36 months following article publication. After 36 months the data will be available in our University's data warehouse but without investigator support other than deposited metadata. Information regarding submitting requests and accessing data may be found at (Link to be provided).
- Access Criteria
- Investigators whose proposed use of the data has been approved by an independent review committee ("learned intermediary") identified for this purpose.
Individual participant data that underlie the results reported in this article, after deidentification (text, tables, figures, and appendices).