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
-
NCT07826949Noch keine RekrutierungGliom | Neoplasma des Gehirns | Wiederkehrende hochgradige Gliome
-
NCT07826962Noch keine Rekrutierung
-
NCT07826975Noch keine Rekrutierung
-
NCT07826988Noch keine RekrutierungSichelzellenanämie | Vaso-okklusive Krise
-
NCT07827001RekrutierungHirntumor | ZNS-Krebs | Krebs des Nervensystems | Gehirnkrebs Metastatisch
-
NCT07827027Noch keine RekrutierungGrundlegende Wissenschaft
-
NCT07827040RekrutierungErwachsene | Digitale Unterstützung bei Sehbehinderten | Sehbehinderungen
-
NCT07827053Noch keine RekrutierungDuktales Adenokarzinom des Pankreas (PDAC)
-
NCT07827066Noch keine RekrutierungRaucherentwöhnung | KI-Agent | Early-Stage Cancer
-
NCT07827131Noch keine Rekrutierung