ArticleClinical trials (London, England)2009
Comparison of a phased experimental approach and a single randomized clinical trial for developing multicomponent behavioral interventions.
Article in Clinical trials (London, England), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 35 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
35 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Group-based exercise interventions for increasing physical activity in cancer survivors: a systematic review of face-to-face randomized and non-randomized trials.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2019Pooled it
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- Intervention Optimization: A Paradigm Shift and Its Potential Implications for Clinical Psychology.Annual review of clinical psychology · 2024Review
- Applying the Just-In-Time Adaptive Intervention Framework to the Development of Gambling Interventions.Journal of gambling studies · 2024Article
- Supporting adjuvant endocrine therapy adherence in women with breast cancer: the development of a complex behavioural intervention using Intervention Mapping guided by the Multiphase Optimisation Strategy.BMC health services research · 2022Article
- A Gambling Just-In-Time Adaptive Intervention (GamblingLess: In-The-Moment): Protocol for a Microrandomized Trial.JMIR research protocols · 2022Article
- Optimization of Early Mobilization Program for Patients With Acute Ischemic Stroke: An Orthogonal Design.Frontiers in neurology · 2021Article
- Engagement With a Behavior Change App for Alcohol Reduction: Data Visualization for Longitudinal Observational Study.Journal of medical Internet research · 2020Observational
- Dosing parameters for the effects of high-frequency transcranial magnetic stimulation on smoking cessation: study protocol for a randomized factorial sham-controlled clinical trial.BMC psychology · 2020Article
- Optimizing the development and evaluation of complex interventions: lessons learned from the BetterBirth Program and associated trial.Implementation science communications · 2020Article
- Impact of an acceptance facilitating intervention on psychotherapists' acceptance of blended therapy.PloS one · 2020Article
- Factorial Designs Help to Understand How Psychological Therapy Works.Frontiers in psychiatry · 2020Article
- Preventing Smoking Progression in Young Adults: the Concept of Prevescalation.Prevention science : the official journal of the Society for Prevention Research · 2019Article
- Optimizing treatment protocols for spinal manipulative therapy: study protocol for a randomized trial.Trials · 2018Article
- General Practitioners' Attitudes Toward a Web-Based Mental Health Service for Adolescents: Implications for Service Design and Delivery.JMIR human factors · 2018Article
- Optimization of a technology-supported physical activity intervention for breast cancer survivors: Fit2Thrive study protocol.Contemporary clinical trials · 2018Article
- Cognitive computing and eScience in health and life science research: artificial intelligence and obesity intervention programs.Health information science and systems · 2017Review
- Toward Usable Evidence: Optimizing Knowledge Accumulation in HCI Research on Health Behavior Change.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2017Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
Abstract
backgroundMany interventions in today's health sciences are multicomponent, and often one or more of the components are behavioral. Two approaches to building behavioral interventions empirically can be identified. The more typically used approach, labeled here the classical approach, consists of constructing a likely best intervention a priori, and then evaluating the intervention in a standard randomized controlled trial (RCT). By contrast, the emergent phased experimental approach involves programmatic phases of empirical research and discovery aimed at identifying individual intervention component effects and the best combination of components and levels. PURPOSE: The purpose of this article is to provide a head-to-head comparison between the classical and phased experimental approaches and thereby highlight the relative advantages and disadvantages of these approaches when they are used to select program components and levels so as to arrive at the most potent intervention.
methodsA computer simulation was performed in which the classical and phased experimental approaches to intervention development were applied to the same randomly generated data.
resultsThe phased experimental approach resulted in better mean intervention outcomes when the intervention effect size was medium or large, whereas the classical approach resulted in better mean intervention outcomes when the effect size was small. The phased experimental approach led to identification of the correct set of intervention components and levels at a higher rate than the classical approach across all conditions. LIMITATIONS: Some potentially important factors were not varied in the simulation, for example the underlying structural model and the number of intervention components.
conclusionsThe phased experimental approach merits serious consideration, because it has the potential to enable intervention scientists to develop more efficacious behavioral interventions.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.