- ICH GCP
- Registre américain des essais cliniques
- Essai clinique NCT04075045
Telehealth Intervention for Improved Blood Pressure Control With Targeted Incentives
21 décembre 2020 mis à jour par: 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.
Aperçu de l'étude
Statut
Complété
Les conditions
Description détaillée
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.
Type d'étude
Interventionnel
Inscription (Réel)
97
Phase
- N'est pas applicable
Contacts et emplacements
Cette section fournit les coordonnées de ceux qui mènent l'étude et des informations sur le lieu où cette étude est menée.
Lieux d'étude
-
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California
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San Diego, California, États-Unis, 92093
- UCSD
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New York
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New York, New York, États-Unis, 10004
- Wellcare
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New York, New York, États-Unis, 11101
- Wellth
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-
Critères de participation
Les chercheurs recherchent des personnes qui correspondent à une certaine description, appelée critères d'éligibilité. Certains exemples de ces critères sont l'état de santé général d'une personne ou des traitements antérieurs.
Critère d'éligibilité
Âges éligibles pour étudier
50 ans et plus (Adulte, Adulte plus âgé)
Accepte les volontaires sains
Non
Sexes éligibles pour l'étude
Tout
La 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
Plan d'étude
Cette section fournit des détails sur le plan d'étude, y compris la façon dont l'étude est conçue et ce que l'étude mesure.
Comment l'étude est-elle conçue ?
Détails de conception
- Objectif principal: La prévention
- Répartition: Randomisé
- Modèle interventionnel: Affectation parallèle
- Masquage: Aucun (étiquette ouverte)
Armes et Interventions
Groupe de participants / Bras |
Intervention / Traitement |
|---|---|
|
Aucune intervention: Group A. Standard Care ("Control")
Does not receive Wellth app.
|
|
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Expérimental: 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).
|
|
Expérimental: 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.
|
|
Expérimental: 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.
|
Que mesure l'étude ?
Principaux critères de jugement
Mesure des résultats |
Description de la mesure |
Délai |
|---|---|---|
|
Medication adherence
Délai: 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
|
Mesures de résultats secondaires
Mesure des résultats |
Description de la mesure |
Délai |
|---|---|---|
|
Blood Pressure Reduction
Délai: 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
Délai: 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.
|
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Compare the effectiveness of two types of incentives for blood pressure
Délai: 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
Délai: 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.
|
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Compare the effectiveness of two types of incentives for self-monitoring adherence
Délai: Ninety (90) days.
|
Compare the difference(s) in Groups C and D for blood pressure self-monitoring adherence through the app.
|
Ninety (90) days.
|
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Compare the effectiveness of two types of incentives for meal logging adherence
Délai: 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.
|
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Compare average incentive values earned by participants in group(s) C and D
Délai: Ninety (90) days.
|
Evaluate and compare the average earned incentive values for participants in groups C and D
|
Ninety (90) days.
|
Collaborateurs et enquêteurs
C'est ici que vous trouverez les personnes et les organisations impliquées dans cette étude.
Parrainer
Collaborateurs
Les enquêteurs
- Chercheur principal: Uri Gneezy, Ph.D., University of California, San Diego
Publications et liens utiles
La personne responsable de la saisie des informations sur l'étude fournit volontairement ces publications. Il peut s'agir de tout ce qui concerne l'étude.
Publications générales
- 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.
Dates d'enregistrement des études
Ces dates suivent la progression des dossiers d'étude et des soumissions de résultats sommaires à ClinicalTrials.gov. Les dossiers d'étude et les résultats rapportés sont examinés par la Bibliothèque nationale de médecine (NLM) pour s'assurer qu'ils répondent à des normes de contrôle de qualité spécifiques avant d'être publiés sur le site Web public.
Dates principales de l'étude
Début de l'étude (Réel)
2 septembre 2019
Achèvement primaire (Réel)
23 juillet 2020
Achèvement de l'étude (Réel)
23 juillet 2020
Dates d'inscription aux études
Première soumission
27 août 2019
Première soumission répondant aux critères de contrôle qualité
27 août 2019
Première publication (Réel)
30 août 2019
Mises à jour des dossiers d'étude
Dernière mise à jour publiée (Réel)
22 décembre 2020
Dernière mise à jour soumise répondant aux critères de contrôle qualité
21 décembre 2020
Dernière vérification
1 décembre 2020
Plus d'information
Termes liés à cette étude
Termes MeSH pertinents supplémentaires
Autres numéros d'identification d'étude
- W000003
Plan pour les données individuelles des participants (IPD)
Prévoyez-vous de partager les données individuelles des participants (DPI) ?
NON
Informations sur les médicaments et les dispositifs, documents d'étude
Étudie un produit pharmaceutique réglementé par la FDA américaine
Non
Étudie un produit d'appareil réglementé par la FDA américaine
Non
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