- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04075045
Telehealth Intervention for Improved Blood Pressure Control With Targeted Incentives
December 21, 2020 updated by: Wellth Inc.
Telehealth Intervention for Improved Blood Pressure Control With Targeted Incentives: Using New Technologies and Insights From Behavioral Economics to Increase the Effectiveness of Behavioral Change
Hypertension is the leading risk factor for cardiovascular disease, global mortality, and ranks third among the causes of disability.
Treatment of hypertension is relatively straightforward, but patient adherence to long-term self-care strategies is problematically low.
Three important behaviors that individuals can adhere to in order to help lower their BP are 1) Taking medications as prescribed by a physician, 2) Monitoring BP at home, and 3) Limiting dietary sodium intake.
Adherence to these behaviors is problematic and currently ranges from 25% to 50%; the present Phase I STTR study is aimed at addressing the behavioral barriers for adherence to these three activities with the help of mobile technology.
In particular, this STTR will develop and test an incentive program delivered through a mobile health app to increase adherence to prescribed BP control regimens and precipitate reduction in BP.
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Detailed Description
Hypertension, or sustained systolic and diastolic blood pressure (BP) of 140 and 90 mmHg or higher, is among the most frequently encountered conditions in primary care in the U.S. The estimated prevalence is 30% among all U.S. adults and increases with age, reaching 65% for adults over 65 years of age.
Hypertension is also the leading risk factor for cardiovascular disease, global mortality, and ranks third among the causes of disability.
Treatment of hypertension is relatively straightforward, but patient adherence to long-term self-care strategies is problematically low.
Three important behaviors that individuals can adhere to in order to help lower their BP are 1) Taking medications as prescribed by a physician, 2) Monitoring BP at home, and 3) Limiting dietary sodium intake.
Adherence to these behaviors is problematic and currently ranges from 25% to 50%; the present Phase I STTR study is aimed at addressing the behavioral barriers for adherence to these three activities with the help of mobile technology.
In particular, this STTR will develop and test an incentive program delivered through a mobile health app to increase adherence to prescribed BP control regimens and precipitate reduction in BP.
The target participants for the test are adults with clinically diagnosed hypertension.
The product to be developed is a mobile health app for patient smartphones, which delivers reminder triggers and immediate behavioral reinforcement through incentives to establish long-term habits.
The incentives in each treatment arm are either purely financial or framed to target specific "mental accounts" to maximize the behavioral effectiveness of the intervention.
The specific aims of the study are to (1) Demonstrate feasibility of combining behavioral economics with state-of-the-art telehealth technology to deliver an optimal incentive strategy to the specific group of patients to promote adherence and reduce BP, and (2) Compare the effectiveness of two types of incentives, i.e., pure financial and mental accounting, on BP and adherence to all three self-care activities: medications, BP monitoring, and meal logging.
Phase II will test the efficacy of this approach in a larger and more diverse population to search for statistically and clinically significant improvements in blood pressure resulting from use of the app with the optimal incentive strategy.
Initial customers are health insurers and risk-bearing hospital systems (e.g.
those with value-based reimbursement models), who are fiscally responsible for healthcare expenses for large numbers of patients with poorly controlled BP.
Study Type
Interventional
Enrollment (Actual)
97
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.
Study Locations
-
-
California
-
San Diego, California, United States, 92093
- UCSD
-
-
New York
-
New York, New York, United States, 10004
- Wellcare
-
New York, New York, United States, 11101
- Wellth
-
-
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
50 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Description
Inclusion Criteria:
- Age 50+
- Has hypertension diagnosis
- Owns a smartphone with sufficient data plan
- Prescribed at least one daily oral antihypertensive agent
- Prescription refill data shows <80% adherence in prior 12 months
Exclusion Criteria:
- Unable or unwilling to provide informed written consent
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: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
No Intervention: Group A. Standard Care ("Control")
Does not receive Wellth app.
|
|
Experimental: Group B. Wellth App ("Treatment 1")
Receives Wellth app without additional financial rewards tied to adherence.
|
Patients will receive the app that provides reminders to adhere to their self-care regimen and ability to track their daily adherence via photos of the self-care related items (medications, blood pressure cuff, meals).
|
Experimental: Group C. Wellth App ("Treatment 2") with targeted rewards
Receives Wellth app with additional ability to earn up to $150 rewards usable at local pharmacies for using the app to track adherence.
|
Patients will receive the app that provides reminders to adhere to their self-care regimen and ability to track their daily adherence via photos of the self-care related items (medications, blood pressure cuff, meals).
Participants may earn up financial rewards tied to their adherence.
The rewards are only usable at pharmacies.
|
Experimental: Group D. Wellth App ("Treatment 3") with non-targeted rewards
Receives Wellth app with additional ability to earn up to $150 rewards usable at many stores for using the app to track adherence.
|
Patients will receive the app that provides reminders to adhere to their self-care regimen and ability to track their daily adherence via photos of the self-care related items (medications, blood pressure cuff, meals).
Participants may earn up financial rewards tied to their adherence.
The rewards are only usable at most stores, except for prohibited purchases such as alcohol, tobacco, or firearms, and is not redeemable for cash.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Medication adherence
Time Frame: Ninety (90) days
|
Improve medication adherence, as measured by prescription fill data or app adherence, in either Group C or D receiving financial incentives tied to adherence, as compared with Groups A or B receiving standard care or app with no additional incentives, respectively.
|
Ninety (90) days
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Blood Pressure Reduction
Time Frame: Ninety (90) days.
|
Reduce BP in either Group C or D as compared to group A or B, as measured by data read from photos of weekly home BP measurement readouts submitted via the app
|
Ninety (90) days.
|
Blood Pressure Reduction
Time Frame: Ninety (90) days.
|
Compare BP across Groups B, C, and D as measured by data provided from photos of weekly home BP measurement readouts submitted via the app
|
Ninety (90) days.
|
Compare the effectiveness of two types of incentives for blood pressure
Time Frame: Ninety (90) days.
|
Compare the difference(s) in Groups C and D for blood pressure reading levels submitted via the app
|
Ninety (90) days.
|
Compare the effectiveness of two types of incentives for medication adherence
Time Frame: Ninety (90) days.
|
Compare the difference(s) in Groups C and D for adherence to prescribed medication (via the app and/or prescription data).
|
Ninety (90) days.
|
Compare the effectiveness of two types of incentives for self-monitoring adherence
Time Frame: Ninety (90) days.
|
Compare the difference(s) in Groups C and D for blood pressure self-monitoring adherence through the app.
|
Ninety (90) days.
|
Compare the effectiveness of two types of incentives for meal logging adherence
Time Frame: Ninety (90) days.
|
Compare the difference(s) in Groups C and D for meal logging adherence monitored and submitted through the app.
|
Ninety (90) days.
|
Compare average incentive values earned by participants in group(s) C and D
Time Frame: Ninety (90) days.
|
Evaluate and compare the average earned incentive values for participants in groups C and D
|
Ninety (90) days.
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Collaborators
Investigators
- Principal Investigator: Uri Gneezy, Ph.D., University of California, San Diego
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Mancia G, Fagard R, Narkiewicz K, Redon J, Zanchetti A, Bohm M, Christiaens T, Cifkova R, De Backer G, Dominiczak A, Galderisi M, Grobbee DE, Jaarsma T, Kirchhof P, Kjeldsen SE, Laurent S, Manolis AJ, Nilsson PM, Ruilope LM, Schmieder RE, Sirnes PA, Sleight P, Viigimaa M, Waeber B, Zannad F, Redon J, Dominiczak A, Narkiewicz K, Nilsson PM, Burnier M, Viigimaa M, Ambrosioni E, Caufield M, Coca A, Olsen MH, Schmieder RE, Tsioufis C, van de Borne P, Zamorano JL, Achenbach S, Baumgartner H, Bax JJ, Bueno H, Dean V, Deaton C, Erol C, Fagard R, Ferrari R, Hasdai D, Hoes AW, Kirchhof P, Knuuti J, Kolh P, Lancellotti P, Linhart A, Nihoyannopoulos P, Piepoli MF, Ponikowski P, Sirnes PA, Tamargo JL, Tendera M, Torbicki A, Wijns W, Windecker S, Clement DL, Coca A, Gillebert TC, Tendera M, Rosei EA, Ambrosioni E, Anker SD, Bauersachs J, Hitij JB, Caulfield M, De Buyzere M, De Geest S, Derumeaux GA, Erdine S, Farsang C, Funck-Brentano C, Gerc V, Germano G, Gielen S, Haller H, Hoes AW, Jordan J, Kahan T, Komajda M, Lovic D, Mahrholdt H, Olsen MH, Ostergren J, Parati G, Perk J, Polonia J, Popescu BA, Reiner Z, Ryden L, Sirenko Y, Stanton A, Struijker-Boudier H, Tsioufis C, van de Borne P, Vlachopoulos C, Volpe M, Wood DA. 2013 ESH/ESC guidelines for the management of arterial hypertension: the Task Force for the Management of Arterial Hypertension of the European Society of Hypertension (ESH) and of the European Society of Cardiology (ESC). Eur Heart J. 2013 Jul;34(28):2159-219. doi: 10.1093/eurheartj/eht151. Epub 2013 Jun 14. No abstract available.
- Sokol MC, McGuigan KA, Verbrugge RR, Epstein RS. Impact of medication adherence on hospitalization risk and healthcare cost. Med Care. 2005 Jun;43(6):521-30. doi: 10.1097/01.mlr.0000163641.86870.af.
- Kearney PM, Whelton M, Reynolds K, Muntner P, Whelton PK, He J. Global burden of hypertension: analysis of worldwide data. Lancet. 2005 Jan 15-21;365(9455):217-23. doi: 10.1016/S0140-6736(05)17741-1.
- Cappuccio FP, Kerry SM, Forbes L, Donald A. Blood pressure control by home monitoring: meta-analysis of randomised trials. BMJ. 2004 Jul 17;329(7458):145. doi: 10.1136/bmj.38121.684410.AE. Epub 2004 Jun 11. Erratum In: BMJ. 2004 Aug 28;329(7464):499.
- Nwankwo T, Yoon SS, Burt V, Gu Q. Hypertension among adults in the United States: National Health and Nutrition Examination Survey, 2011-2012. NCHS Data Brief. 2013 Oct;(133):1-8.
- Ostchega Y, Berman L, Hughes JP, Chen TC, Chiappa MM. Home blood pressure monitoring and hypertension status among US adults: the National Health and Nutrition Examination Survey (NHANES), 2009-2010. Am J Hypertens. 2013 Sep;26(9):1086-92. doi: 10.1093/ajh/hpt054. Epub 2013 Apr 19.
- US Food & Drug Administration. FDA issues draft guidance to food industry for voluntarily reducing sodium in processed and commercially prepared food. 2016.
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 (Actual)
September 2, 2019
Primary Completion (Actual)
July 23, 2020
Study Completion (Actual)
July 23, 2020
Study Registration Dates
First Submitted
August 27, 2019
First Submitted That Met QC Criteria
August 27, 2019
First Posted (Actual)
August 30, 2019
Study Record Updates
Last Update Posted (Actual)
December 22, 2020
Last Update Submitted That Met QC Criteria
December 21, 2020
Last Verified
December 1, 2020
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- W000003
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
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.
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