scholarly journals Evaluating the efficacy of mindfulness and acceptance-based treatment components for weight loss: Protocol for a multiphase optimization strategy trial

2021 ◽  
pp. 106573
Author(s):  
Evan M. Forman ◽  
Christina Chwyl ◽  
Michael P. Berry ◽  
Lauren C. Taylor ◽  
Meghan L. Butryn ◽  
...  
Keyword(s):  
Weight Loss ◽  
Optimization Strategy ◽  
Multiphase Optimization Strategy

scholarly journals Using the Preparation Phase of the Multiphase Optimization Strategy to Develop a Messaging Component for Weight Loss: Formative and Pilot Research

10.2196/16297 ◽  
2020 ◽  
Vol 4 (5) ◽  
pp. e16297
Author(s):  
Angela Fidler Pfammatter ◽  
Sara Hoffman Marchese ◽  
Christine Pellegrini ◽  
Elyse Daly ◽  
Miriam Davidson ◽  
...  
Keyword(s):  
Weight Loss ◽  
Pilot Study ◽  
Conceptual Model ◽  
Overweight And Obesity ◽  
Text Messages ◽  
Optimization Strategy ◽  
Multiphase Optimization Strategy ◽  
Study Results ◽  
Preparation Phase ◽  
Treatment Package

Background Mobile messaging is often used in behavioral weight loss interventions, yet little is known as to the extent to which they contribute to weight loss when part of a multicomponent treatment package. The multiphase optimization strategy (MOST) is a framework that researchers can use to systematically investigate interventions that achieve desirable outcomes given specified constraints. Objective This study describes the use of MOST to develop a messaging intervention as a component to test as part of a weight loss treatment package in a subsequent optimization trial. Methods On the basis of our conceptual model, a text message intervention was created to support self-regulation of weight-related behaviors. We tested the messages in the ENLIGHTEN feasibility pilot study. Adults with overweight and obesity were recruited to participate in an 8-week weight loss program. Participants received a commercially available self-monitoring smartphone app, coaching calls, and text messages. The number and frequency of text messages sent were determined by individual preferences, and weight was assessed at 8 weeks. Results Participants (n=9) in the feasibility pilot study lost 3.2% of their initial body weight over the 8-week intervention and preferred to receive 1.8 texts per day for 4.3 days per week. Researcher burden in manually sending messages was high, and the cost of receiving text messages was a concern. Therefore, a fully automated push notification system was developed to facilitate sending tailored daily messages to participants to support weight loss. Conclusions Following the completion of specifying the conceptual model and the feasibility pilot study, the message intervention went through a final iteration. Theory and feasibility pilot study results during the preparation phase informed critical decisions about automation, frequency, triggers, and content before inclusion as a treatment component in a factorial optimization trial. Trial Registration ClinicalTrials.gov NCT01814072; https://clinicaltrials.gov/ct2/show/NCT01814072

scholarly journals Using the Preparation Phase of the Multiphase Optimization Strategy to Develop a Messaging Component for Weight Loss: Formative and Pilot Research (Preprint)

2019 ◽  
Author(s):  
Angela Fidler Pfammatter ◽  
Sara Hoffman Marchese ◽  
Christine Pellegrini ◽  
Elyse Daly ◽  
Miriam Davidson ◽  
...  
Keyword(s):  
Weight Loss ◽  
Pilot Study ◽  
Conceptual Model ◽  
Overweight And Obesity ◽  
Text Messages ◽  
Optimization Strategy ◽  
Multiphase Optimization Strategy ◽  
Study Results ◽  
Preparation Phase ◽  
Treatment Package

BACKGROUND Mobile messaging is often used in behavioral weight loss interventions, yet little is known as to the extent to which they contribute to weight loss when part of a multicomponent treatment package. The multiphase optimization strategy (MOST) is a framework that researchers can use to systematically investigate interventions that achieve desirable outcomes given specified constraints. OBJECTIVE This study describes the use of MOST to develop a messaging intervention as a component to test as part of a weight loss treatment package in a subsequent optimization trial. METHODS On the basis of our conceptual model, a text message intervention was created to support self-regulation of weight-related behaviors. We tested the messages in the ENLIGHTEN feasibility pilot study. Adults with overweight and obesity were recruited to participate in an 8-week weight loss program. Participants received a commercially available self-monitoring smartphone app, coaching calls, and text messages. The number and frequency of text messages sent were determined by individual preferences, and weight was assessed at 8 weeks. RESULTS Participants (n=9) in the feasibility pilot study lost 3.2% of their initial body weight over the 8-week intervention and preferred to receive 1.8 texts per day for 4.3 days per week. Researcher burden in manually sending messages was high, and the cost of receiving text messages was a concern. Therefore, a fully automated push notification system was developed to facilitate sending tailored daily messages to participants to support weight loss. CONCLUSIONS Following the completion of specifying the conceptual model and the feasibility pilot study, the message intervention went through a final iteration. Theory and feasibility pilot study results during the preparation phase informed critical decisions about automation, frequency, triggers, and content before inclusion as a treatment component in a factorial optimization trial. CLINICALTRIAL ClinicalTrials.gov NCT01814072; https://clinicaltrials.gov/ct2/show/NCT01814072

scholarly journals Engineering a Mobile Platform to Promote Sleep in the Pediatric Primary Care Setting

2020 ◽  
Author(s):  
Jonathan A. Mitchell ◽  
Knashawn H. Morales ◽  
Ariel A. Williamson ◽  
Nicholas Huffnagle ◽  
Casey Eck ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Mobile Health ◽  
Care Setting ◽  
Optimization Strategy ◽  
Normative Feedback ◽  
Promising Candidate ◽  
Multiphase Optimization Strategy ◽  
Control Gain ◽  
Preparation Phase ◽  
Control Loss

AbstractBackgroundPediatricians lack tools to support families at home for the promotion of childhood sleep. We are using the Multiphase Optimization Strategy (MOST) framework to guide the development of a mobile health platform for childhood sleep promotion.PurposeUnder the preparation phase of the MOST framework, to demonstrate feasibility of a mobile health platform towards treating children with insufficient sleep.MethodsChildren aged 10-12y were enrolled (Study #1: N=30; Study #2: N=43). Participants wore a sleep tracker to measure sleep duration. Data were retrieved by a mobile health platform, programmed to send introductory messages during run-in (2 weeks) and goal achievement messages during intervention (7 weeks) periods. In study #1, participants were randomized to control, gain-framed incentive or loss-framed incentive arms. In study #2, participants were randomized to control, loss-framed incentive, normative feedback or loss-framed incentive plus normative feedback arms.ResultsIn study #1, 1,514 nights of data were captured (69%) and sleep duration during the intervention was higher by an average of 21 (95% CI: -8, 51) and 34 (95% CI: 7, 61) minutes per night for the gain-framed and loss-framed arms, respectively, compared to controls. In study #2, 2,689 nights of data were captured (81%), with no major differences in average sleep duration between the control and the loss-framed or normative feedback arms.ConclusionWe have developed and deployed a mobile health platform that can capture sleep data and remotely communicate with families. Promising candidate intervention components will be further investigated under the optimization phase of the MOST framework.

Using factorial mediation analysis to better understand the effects of interventions

2021 ◽  
Author(s):  
Jillian C Strayhorn ◽  
Linda M Collins ◽  
Timothy R Brick ◽  
Sara H Marchese ◽  
Angela Fidler Pfammatter ◽  
...  
Keyword(s):  
Mediation Analysis ◽  
Factorial Experiment ◽  
Combined Effects ◽  
Optimization Strategy ◽  
Testing Hypotheses ◽  
Causal Mechanisms ◽  
Multiphase Optimization Strategy ◽  
Factorial Optimization ◽  
The Individual ◽  
Advance Theory

Abstract To improve understanding of how interventions work or why they do not work, there is need for methods of testing hypotheses about the causal mechanisms underlying the individual and combined effects of the components that make up interventions. Factorial mediation analysis, i.e., mediation analysis applied to data from a factorial optimization trial, enables testing such hypotheses. In this commentary, we demonstrate how factorial mediation analysis can contribute detailed information about an intervention’s causal mechanisms. We briefly review the multiphase optimization strategy (MOST) and the factorial experiment. We use an empirical example from a 25 factorial optimization trial to demonstrate how factorial mediation analysis opens possibilities for better understanding the individual and combined effects of intervention components. Factorial mediation analysis has important potential to advance theory about interventions and to inform intervention improvements.

scholarly journals Integrating Community-Engagement and a Multiphase Optimization Strategy Framework: Adapting Substance Use Prevention for American Indian Families

2019 ◽  
Vol 20 (7) ◽  
pp. 1136-1146
Author(s):  
Nancy Rumbaugh Whitesell ◽  
Alicia C. Mousseau ◽  
Ellen M. Keane ◽  
Nancy L. Asdigian ◽  
Nicole Tuitt ◽  
...  
Keyword(s):  
Substance Use ◽  
American Indian ◽  
Community Engagement ◽  
Optimization Strategy ◽  
Substance Use Prevention ◽  
Multiphase Optimization Strategy

scholarly journals The preparation phase in the multiphase optimization strategy (MOST): a systematic review and introduction of a reporting checklist

2021 ◽  
Author(s):  
Ryan R Landoll ◽  
Sara E Vargas ◽  
Kristen B Samardzic ◽  
Madison F Clark ◽  
Kate Guastaferro
Keyword(s):  
Systematic Review ◽  
Behavioral Interventions ◽  
Intervention Development ◽  
Future Research ◽  
Optimization Strategy ◽  
Design Elements ◽  
Alternative Intervention ◽  
Multiphase Optimization Strategy ◽  
Preparation Phase ◽  
Almost All

Abstract Multicomponent behavioral interventions developed using the multiphase optimization strategy (MOST) framework offer important advantages over alternative intervention development models by focusing on outcomes within constraints relevant for effective dissemination. MOST consists of three phases: preparation, optimization, and evaluation. The preparation phase is critical to establishing the foundation for the optimization and evaluation phases; thus, detailed reporting is critical to enhancing rigor and reproducibility. A systematic review of published research using the MOST framework was conducted. A structured framework was used to describe and summarize the use of MOST terminology (i.e., preparation phase and optimization objective) and the presentation of preparation work, the conceptual model, and the optimization. Fifty-eight articles were reviewed and the majority focused on either describing the methodology or presenting results of an optimization trial (n = 38, 66%). Although almost all articles identified intervention components (96%), there was considerable variability in the degree to which authors fully described other elements of MOST. In particular, there was less consistency in use of MOST terminology. Reporting on the MOST preparation phase is varied, and there is a need for increased focus on explicit articulation of key design elements and rationale of the preparation phase. The proposed checklist for reporting MOST studies would significantly advance the use of this emerging methodology and improve implementation and dissemination of MOST. Accurate reporting is essential to reproducibility and rigor of scientific trials as it ensures future research fully understands not only the methodology, but the rationale for intervention and optimization decisions.

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