SMART: Study protocol for a sequential multiple assignment randomized controlled trial to optimize weight loss management
Angela Fidler Pfammatter, Inbal Nahum-Shani, Margaret DeZelar, Laura Scanlan, H Gene McFadden, Juned Siddique, Donald Hedeker, Bonnie Spring, Angela Fidler Pfammatter, Inbal Nahum-Shani, Margaret DeZelar, Laura Scanlan, H Gene McFadden, Juned Siddique, Donald Hedeker, Bonnie Spring
Abstract
Background: Stepped care is a rational resource allocation approach to reduce population obesity. Evidence is lacking to guide decisions on use of low cost treatment components such as mobile health (mHealth) tools without compromising weight loss of those needing more expensive traditional treatment components (e.g., coaching, meal replacement). A sequential multiple assignment randomization trial (SMART) will be conducted to inform the development of an empirically based stepped care intervention that incorporates mHealth and traditional treatment components.
Objective: The primary aim tests the non-inferiority of app alone, compared to app plus coaching, as first line obesity treatment, measured by weight change from baseline to 6 months. Secondary aims are to identify the best tactic to address early treatment non-response and the optimal treatment sequence for resource efficient weight loss.
Study design: Four hundred participants, 18-60 years old with Body Mass Index between 27 and 45 kg/m2 will be randomized to receive a weight loss smartphone app (APP) or the app plus weekly coaching (APP + C) for a 12 week period. Those achieving <0.5 lb. weight loss on average per week, assessed by wireless scale at 2, 4, and 8 weeks, will be classified as non-responders and re-randomized once to step-up modestly (adding another mHealth component) or vigorously (adding mHealth and traditional treatment components) for the remaining treatment period. Weight will be assessed in person at baseline, 3, 6, and 12 months.
Significance: Results will inform construction of an obesity treatment algorithm that balances weight loss outcomes with resource consumption.
Keywords: Obesity; Optimization; Resource allocation; Stepped care; Weight loss; mHealth.
Copyright © 2019 Elsevier Inc. All rights reserved.
Figures



Source: PubMed
Bevorstehende klinische Studien
-
NCT07643766Noch keine Rekrutierung
-
NCT07643779Noch keine RekrutierungMuskel-Skelett-Schmerzen | Physische Aktivität | Gastroösophageale Refluxkrankheit (GERD) | Symptom
-
NCT07643792Noch keine RekrutierungPostoperative Schmerzen | Ältere Erwachsene | Hüftfraktur-Chirurgie | Faszienblockade | Liposomales Bupivacain
-
NCT07643805Noch keine Rekrutierung
-
NCT07643818Noch keine RekrutierungHerzinsuffizienz mit erhaltener Auswurffraktion (HFpEF)
-
NCT07643844Noch keine RekrutierungPropionazidämie
-
NCT07643857Noch keine RekrutierungPostoperative Komplikationen bei kolorektalem Karzinom
-
NCT07643870Noch keine RekrutierungFortgeschrittene solide Malignome
-
NCT07643896RekrutierungAneuploidie | 22q11.2 Deletionssyndrom | Trisomie 18 | Trisomie 13 | Anomalien der Geschlechtschromosomen | Down-Syndrom (Trisomie 21) | Pregnant Individuals
-
NCT07643909Noch keine RekrutierungErnährungsunsicherheit
-
NCT07643922Noch keine RekrutierungSubarachnoidalblutung, Aneurysma | Zerebraler Vasospasmus nach Subarachnoidalblutung
-
NCT07643935Noch keine RekrutierungTherapieassoziierter Krebs