2018
DOI: 10.1016/j.cct.2017.12.016
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Tobacco dependence treatment in the emergency department: A randomized trial using the Multiphase Optimization Strategy

Abstract: Background Tobacco dependence remains the leading preventable cause of death in the developed world. Smokers are disproportionately from lower socioeconomic groups, and may use the hospital emergency department (ED) as an important source of care. A recent clinical trial demonstrated the efficacy of a multicomponent intervention to help smokers quit, but the independent contributions of those components is unknown. Methods This is a full-factorial (16-arm) randomized trial in a busy hospital ED of 4 tobacco … Show more

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Cited by 35 publications
(20 citation statements)
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“…We extracted data from 30 full-text articles published in journals mostly classified as "Substance Abuse" or "Emergency Medicine" publications. In terms of study design, there is an opportunity for ED-SBIRT researchers to move beyond traditional designs (e.g., two-arm RCTs) and explore other study designs (e.g., microrandomized trials 51 ) and approaches (e.g., Multiphase Optimization Strategy [MOST] 52 ). Regarding inclusion criteria, there may be an opportunity to explore ED-SBIRT for high-risk alcohol use among older patients.…”
Section: Discussionmentioning
confidence: 99%
“…We extracted data from 30 full-text articles published in journals mostly classified as "Substance Abuse" or "Emergency Medicine" publications. In terms of study design, there is an opportunity for ED-SBIRT researchers to move beyond traditional designs (e.g., two-arm RCTs) and explore other study designs (e.g., microrandomized trials 51 ) and approaches (e.g., Multiphase Optimization Strategy [MOST] 52 ). Regarding inclusion criteria, there may be an opportunity to explore ED-SBIRT for high-risk alcohol use among older patients.…”
Section: Discussionmentioning
confidence: 99%
“…We adopted a three-stage method to determine the optimal assignment strategy: (1) review literature and define assignment procedures; (2) conduct simulations on a dataset from a previous study, reporting outcomes for each strategy with respect to balance, equivalence, and randomness; (3) review results with research team; determine which method is optimal across all outcomes.…”
Section: Methodsmentioning
confidence: 99%
“…MOST optimization trials utilize factorial experimental design [3,4,5] because they can test multiple factors (i.e., intervention components) simultaneously, using the same participants while maintaining satisfactory statistical power [6]. For example, a factorial design with two intervention components with two levels each yields four cells (i.e., 2 x 2 = 4), each representing a group of participants assigned to a study condition that receives a unique combination of intervention component levels.…”
Section: Introductionmentioning
confidence: 99%
“…Another approach is to evaluate the cost-effectiveness of the intervention, compared to other alternatives [72,73]. The MOST framework can also incorporate constraints on interventions such as cost and dosage limits [74]. These approaches can identify interventions whose costs are justifiable in relation to the health outcomes they produce.…”
Section: Choosing the Optimal Comparatormentioning
confidence: 99%