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what is the best research method to use for comparing interventions

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Comparative Study

doi: x.1037/met0000219. Epub 2019 Jul 18.

SMART longitudinal analysis: A tutorial for using repeated upshot measures from SMART studies to compare adaptive interventions

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  • PMID: 31318231
  • PMCID: PMC7480232
  • DOI: 10.1037/met0000219

Free PMC commodity

Comparative Study

SMART longitudinal analysis: A tutorial for using repeated issue measures from SMART studies to compare adaptive interventions

Inbal Nahum-Shani  et al. Psychol Methods. 2020 Feb .

Gratuitous PMC article

Abstract

In recent years, there has been increased involvement in the development of adaptive interventions across diverse domains of health and psychological research. An adaptive intervention is a protocolized sequence of individualized treatments that seeks to accost the unique and changing needs of individuals as they progress through an intervention programme. The sequential, multiple consignment, randomized trial (SMART) is an experimental study pattern that can be used to build the empirical basis for the construction of effective adaptive interventions. A SMART involves multiple stages of randomizations; each stage of randomization is designed to address scientific questions concerning the best intervention choice to employ at that signal in the intervention. Several adaptive interventions are embedded in a SMART by pattern; many SMARTs are motivated by scientific questions that concern the comparison of these embedded adaptive interventions. Until recently, analysis methods available for the comparison of adaptive interventions were express to end-of-study outcomes. The current article provides an accessible and comprehensive tutorial to a new methodology for using repeated outcome data from SMART studies to compare adaptive interventions. Nosotros talk over how existing methods for comparing adaptive interventions in terms of terminate-of-report result data from a SMART tin be extended for use with longitudinal outcome information. Nosotros also highlight the scientific utility of using longitudinal information from a SMART to compare adaptive interventions. A SMART study aiming to develop an adaptive intervention to engage alcohol- and cocaine-dependent individuals in treatment is used to demonstrate the awarding of this new methodology. (PsycINFO Database Tape (c) 2020 APA, all rights reserved).

Figures

Figure 1:
Figure 1:

The ENGAGE SMART Study

Figure 2a:
Figure 2a:

Hypothetical Comparison of Two Adaptive Interventions with Longitudinal Upshot Information

Figure 2b:
Figure 2b:

Hypothetical Comparison of Ii Adaptive Interventions with Longitudinal Effect Data

Figure 3:
Figure 3:

Hypothetical Expected Outcomes of the 4 Embedded Adaptive Interventions in Appoint Based on the Piecewise Linear Regression Model in (3)

Figure 4:
Effigy 4:

Hypothetical Illustration of Expected Expanse Under the Curve (AUC) for Embedded AI #1 vs. embedded AI #ii in Appoint based on the Piecewise Linear Regression Model (three)

Figure 5:
Figure five:

Estimated Treatment Readiness Over Time Under Each Embedded Adaptive Intervention in ENGAGE (based on Model iv).

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