- ICH GCP
- Registro degli studi clinici negli Stati Uniti
- Sperimentazione clinica NCT02659163
An Integrated Closed-loop Feedback System for Pediatric Cardiometabolic Disease (STRIVE)
31 agosto 2017 aggiornato da: Nicolas M. Oreskovic, MD, MPH, Massachusetts General Hospital
The high prevalence and burden of cardiometabolic disease underlie the urgent need to identify novel approaches to managing and preventing cardiometabolic disease and risk.
This project will test an innovative use of mobile health technology to implement a closed-loop feedback system that collects objective patient-generated data and provides clinical recommendations to modify contributing health behaviors.
In addition to improving care for cardiometabolic disease, the tools and methods developed by this study for collecting patient data and providing clinical feedback could also easily be adapted and applied to a range of other health conditions, and are thus highly relevant to public health.
Panoramica dello studio
Stato
Sconosciuto
Condizioni
Descrizione dettagliata
Cardiometabolic disease - a clustering of medical conditions and risk factors which includes obesity, diabetes, impaired liver function, and an increased risk in children for adult-onset cardiovascular disease - represents a major population-wide health burden in the United States.
Management of cardiometabolic disease also imposes a substantial financial burden on the economy and ties up significant healthcare resources.
It is well-known that many of the lifestyle and health behaviors that contribute to cardiometabolic disease are difficult to modify once established, and childhood represents an opportune time for promoting healthy behaviors.
Patient-centered outcomes research (PCOR) has identified certain health behaviors as important and actionable in modifying cardiometabolic risk, namely weight management, physical activity, screen-time, sleep, and consumption of sugar-sweetened beverages.
Mobile health technology (mHealth) could be used to monitor and counsel on common health behaviors associated with cardiometabolic risk, which may facilitate the inclusion of PCOR evidence on cardiometabolic disease into clinical practice.
The overall goal of this research is to use mHealth technology to accelerate the uptake of PCOR findings on treatment of cardiometabolic disease.
To achieve our goal, this study will develop a novel set of mHealth tools capable of collecting health behavior information and determine to what extent providing clinical feedback on these health behaviors improves obesity and health behaviors among children ages 6-12 year and their families.
In this study we will develop, implement, and test the comparative clinical effectiveness of a closed-loop feedback system for collecting patient data and providing recommendations.
The specific aims of this study are: 1) to develop an integrated closed-loop feedback system that incorporates longitudinal mHealth data in managing cardiometabolic disease among at-risk families, and 2) to determine the extent to which an integrated closed-loop system that provides feedback on objective patient-generated data improves cardiometabolic risk, as measured by changes in body mass index and health behaviors including, physical activity, screen-time, sleep, and sugar-sweetened beverage consumption.
This research will develop novel mHealth tools and approaches that will allow healthcare providers and patients to better understand disease risk and improve disease management by collecting patient data 1) repeatedly over time, 2) simultaneously, and 3) objectively.
This study is innovative because it will use mHealth tools to simultaneously collect longitudinal data on multiple health behaviors known to be associated with cardiometabolic risk, and it will offer a new approach to implementing and disseminating PCOR findings via a novel closed-loop feedback system.
The high prevalence of cardiometabolic disease makes this innovative closed-loop system very relevant to public health.
The mHealth tools and methods developed by this study for collecting patient data and providing clinical feedback could also easily be adapted and applied to a range of other health conditions.
Tipo di studio
Interventistico
Iscrizione (Anticipato)
68
Fase
- Prima fase 1
Contatti e Sedi
Questa sezione fornisce i recapiti di coloro che conducono lo studio e informazioni su dove viene condotto lo studio.
Criteri di partecipazione
I ricercatori cercano persone che corrispondano a una certa descrizione, chiamata criteri di ammissibilità. Alcuni esempi di questi criteri sono le condizioni generali di salute di una persona o trattamenti precedenti.
Criteri di ammissibilità
Età idonea allo studio
Da 6 anni a 12 anni (Bambino)
Accetta volontari sani
No
Sessi ammissibili allo studio
Tutto
Descrizione
Inclusion Criteria:
- ages 6-12 years
- body mass index categorized as overweight or obese
- followed for obesity care
- an adult household family member with one or more elevated cardiometabolic risk, as defined by established or documented increased risk of cardiometabolic disease (overweight, obesity, hypertension, coronary artery disease, diabetes or glucose intolerance, dyslipidemia, non-alcoholic fatty liver disease, cerebrovascular disease)
- participating parent must own Android Smartphone
- Wi-Fi access at home
- speak and read English
Exclusion Criteria:
- n/a
Piano di studio
Questa sezione fornisce i dettagli del piano di studio, compreso il modo in cui lo studio è progettato e ciò che lo studio sta misurando.
Come è strutturato lo studio?
Dettagli di progettazione
- Scopo principale: Prevenzione
- Assegnazione: Randomizzato
- Modello interventistico: Assegnazione parallela
- Mascheramento: Separare
Armi e interventi
Gruppo di partecipanti / Arm |
Intervento / Trattamento |
---|---|
Sperimentale: intervention
Intervention subjects will receive feedback on their health behaviors along with clinical recommendations.
|
A wristband containing several sensors worn by participants to collect daily objective patient-generated health behavior data on physical activity, sleep, and screen time
Altri nomi:
A wireless scale used by participants to measure and record daily weight.
Altri nomi:
Self-reported information on sugar sweetened beverage consumption collected via mobile messaging
Altri nomi:
A mobile application that houses study data and provides two-way messaging between the study team and study participants.
Daily feedback and weekly e-report cards on patient-generated longitudinal health behaviors along with clinical recommendations via mobile messaging
|
Comparatore attivo: control
Control subjects will receive feedback on their health behaviors for self-guided care.
|
A wristband containing several sensors worn by participants to collect daily objective patient-generated health behavior data on physical activity, sleep, and screen time
Altri nomi:
A wireless scale used by participants to measure and record daily weight.
Altri nomi:
Self-reported information on sugar sweetened beverage consumption collected via mobile messaging
Altri nomi:
A mobile application that houses study data and provides two-way messaging between the study team and study participants.
Provide feedback on patient-generated health behaviors data, along with standard of care recommendations, for self-guided
|
Cosa sta misurando lo studio?
Misure di risultato primarie
Misura del risultato |
Misura Descrizione |
Lasso di tempo |
---|---|---|
BMI, Child
Lasso di tempo: 6 months
|
mean change in BMI z-score
|
6 months
|
Misure di risultato secondarie
Misura del risultato |
Misura Descrizione |
Lasso di tempo |
---|---|---|
Health Behaviors Index, Child and Adult
Lasso di tempo: 6 months
|
Cardiometabolic risk will be reported as an index score, a continuous variable calculated as the sum of Z-scores of mean daily moderate-to-vigorous physical activity (minutes), mean daily sleep (minutes), mean daily screen time (minutes), and mean weekly sugar sweetened beverage intake.
|
6 months
|
BMI, Adult
Lasso di tempo: 6 months
|
mean change in BMI z-score
|
6 months
|
Collaboratori e investigatori
Qui è dove troverai le persone e le organizzazioni coinvolte in questo studio.
Sponsor
Collaboratori
Investigatori
- Investigatore principale: Nicolas M Oreskovic, MD, MPH, Massachusetts General Hospital
Pubblicazioni e link utili
La persona responsabile dell'inserimento delle informazioni sullo studio fornisce volontariamente queste pubblicazioni. Questi possono riguardare qualsiasi cosa relativa allo studio.
Collegamenti utili
Studiare le date dei record
Queste date tengono traccia dell'avanzamento della registrazione dello studio e dell'invio dei risultati di sintesi a ClinicalTrials.gov. I record degli studi e i risultati riportati vengono esaminati dalla National Library of Medicine (NLM) per assicurarsi che soddisfino specifici standard di controllo della qualità prima di essere pubblicati sul sito Web pubblico.
Studia le date principali
Inizio studio (Anticipato)
1 ottobre 2017
Completamento primario (Anticipato)
1 ottobre 2018
Completamento dello studio (Anticipato)
1 ottobre 2018
Date di iscrizione allo studio
Primo inviato
12 gennaio 2016
Primo inviato che soddisfa i criteri di controllo qualità
14 gennaio 2016
Primo Inserito (Stima)
20 gennaio 2016
Aggiornamenti dei record di studio
Ultimo aggiornamento pubblicato (Effettivo)
1 settembre 2017
Ultimo aggiornamento inviato che soddisfa i criteri QC
31 agosto 2017
Ultimo verificato
1 agosto 2017
Maggiori informazioni
Termini relativi a questo studio
Parole chiave
Termini MeSH pertinenti aggiuntivi
Altri numeri di identificazione dello studio
- R21HS024001 (Sovvenzione/contratto AHRQ degli Stati Uniti)
Informazioni su farmaci e dispositivi, documenti di studio
Studia un prodotto farmaceutico regolamentato dalla FDA degli Stati Uniti
No
Studia un dispositivo regolamentato dalla FDA degli Stati Uniti
No
Queste informazioni sono state recuperate direttamente dal sito web clinicaltrials.gov senza alcuna modifica. In caso di richieste di modifica, rimozione o aggiornamento dei dettagli dello studio, contattare register@clinicaltrials.gov. Non appena verrà implementata una modifica su clinicaltrials.gov, questa verrà aggiornata automaticamente anche sul nostro sito web .
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