The multiphase optimization strategy for engineering effective tobacco use interventions.
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Understanding for whom, under what conditions, and how group-based physical activity interventions are successful: a realist reviewOptimisation of complex health interventions prior to a randomised controlled trial: a scoping review of strategies usedEvaluating the effectiveness of a smartphone app to reduce excessive alcohol consumption: protocol for a factorial randomised control trialAgile science: creating useful products for behavior change in the real worldOptimization of Multicomponent Behavioral and Biobehavioral Interventions for the Prevention and Treatment of HIV/AIDSAn Overview of Research and Evaluation Designs for Dissemination and ImplementationFive population-based interventions for smoking cessation: a MOST trial.Implementing multifactorial psychotherapy research in online virtual environments (IMPROVE-2): study protocol for a phase III trial of the MOST randomized component selection method for internet cognitive-behavioural therapy for depression.Development of SmokeFree Baby: a smoking cessation smartphone app for pregnant smokers.Strategies for mHealth research: lessons from 3 mobile intervention studies.Optimization of remotely delivered intensive lifestyle treatment for obesity using the Multiphase Optimization Strategy: Opt-IN study protocol.Using the multiphase optimization strategy (MOST) to optimize an HIV care continuum intervention for vulnerable populations: a study protocol.Exploring the "active ingredients" of an online smoking intervention: a randomized factorial trial.Is level of exposure to a 12-step facilitation therapy associated with treatment outcome?Introduction to SMART designs for the development of adaptive interventions: with application to weight loss research.Moving beyond the treatment package approach to developing behavioral interventions: addressing questions that arose during an application of the Multiphase Optimization Strategy (MOST)Evaluating individual intervention components: making decisions based on the results of a factorial screening experiment.Factorial experiments: efficient tools for evaluation of intervention components.Europe needs a central, transparent, and evidence-based approval process for behavioural prevention interventions.Optimizing engagement with Internet-based health behaviour change interventions: comparison of self-assessment with and without tailored feedback using a mixed methods approach.Scaling up mHealth: where is the evidence?Optimization of behavioral dynamic treatment regimens based on the sequential, multiple assignment, randomized trial (SMART).Parent-targeted mobile phone intervention to increase physical activity in sedentary children: randomized pilot trialNew methods for tobacco dependence treatment research.Addressing healthy aging populations in developing countries: unlocking the opportunity of eHealth and mHealthBeing "SMART" About Adolescent Conduct Problems Prevention: Executing a SMART Pilot Study in a Juvenile Diversion Agency.Rationale and design of the Feeding Dynamic Intervention (FDI) study for self-regulation of energy intake in preschoolers.Approaches for informing optimal dose of behavioral interventions.ACT2 peer-driven intervention increases enrollment into HIV/AIDS medical studies among African Americans/Blacks and Hispanics: A cluster randomized controlled trial.Maximizing the Yield of Small Samples in Prevention Research: A Review of General Strategies and Best Practices.Maximizing Effectiveness Trials in PTSD and SUD Through Secondary Analysis: Benefits and Limitations Using the National Institute on Drug Abuse Clinical Trials Network "Women and Trauma" Study as a Case Example.Multilevel factorial experiments for developing behavioral interventions: power, sample size, and resource considerations.How prevention curricula are taught under real-world conditions: Types of and reasons for teacher curriculum adaptations.Translational Research in South Africa: Evaluating Implementation Quality Using a Factorial Design.Scientific reasons for including persons with disabilities in clinical and translational diabetes research.Theories of behaviour and behaviour change across the social and behavioural sciences: a scoping review.Questions about quitting (Q2): design and methods of a Multiphase Optimization Strategy (MOST) randomized screening experiment for an online, motivational smoking cessation interventionApplication of the multiphase optimization strategy to a pilot study: an empirical example targeting obesity among children of low-income mothers.Supporting Better Evidence Generation and Use within Social Innovation in Health in Low- and Middle-Income Countries: A Qualitative Study.Effectiveness of differing levels of support for family meals on obesity prevention among head start preschoolers: the simply dinner study
P2860
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P2860
The multiphase optimization strategy for engineering effective tobacco use interventions.
description
2011 nî lūn-bûn
@nan
2011 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
The multiphase optimization strategy for engineering effective tobacco use interventions.
@ast
The multiphase optimization strategy for engineering effective tobacco use interventions.
@en
The multiphase optimization strategy for engineering effective tobacco use interventions.
@nl
type
label
The multiphase optimization strategy for engineering effective tobacco use interventions.
@ast
The multiphase optimization strategy for engineering effective tobacco use interventions.
@en
The multiphase optimization strategy for engineering effective tobacco use interventions.
@nl
prefLabel
The multiphase optimization strategy for engineering effective tobacco use interventions.
@ast
The multiphase optimization strategy for engineering effective tobacco use interventions.
@en
The multiphase optimization strategy for engineering effective tobacco use interventions.
@nl
P2093
P2860
P1476
The multiphase optimization strategy for engineering effective tobacco use interventions.
@en
P2093
Bruce A Christiansen
Douglas E Jorenby
Jessica W Cook
Megan E Piper
Michael C Fiore
Robin J Mermelstein
Stevens S Smith
Tanya R Schlam
Timothy B Baker
P2860
P304
P356
10.1007/S12160-010-9253-X
P577
2011-04-01T00:00:00Z