Abstract
Abstract: In this article two new methods for building and evaluating eHealth interventions are described. The first is the Multiphase Optimization Strategy (MOST). It consists of a screening phase, in which intervention components are efficiently identified for inclusion in an intervention or for rejection, based on their performance; a refining phase, in which the selected components are fine tuned and issues such as optimal levels of each component are investigated; and a confirming phase, in which the optimized intervention, consisting of the selected components delivered at optimal levels, is evaluated in a standard randomized controlled trial. The second is the Sequential Multiple Assignment Randomized Trial (SMART), which is an innovative research design especially suited for building time-varying adaptive interventions. A SMART trial can be used to identify the best tailoring variables and decision rules for an adaptive intervention empirically. Both the MOST and SMART approaches use randomized experimentation to enable valid inferences. When properly implemented, these approaches will lead to the development of more potent eHealth interventions.
| Original language | English (US) |
|---|---|
| Pages (from-to) | S112-S118 |
| Journal | American Journal of Preventive Medicine |
| Volume | 32 |
| Issue number | 5 SUPPL. |
| DOIs | |
| State | Published - May 1 2007 |
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All Science Journal Classification (ASJC) codes
- Epidemiology
- Public Health, Environmental and Occupational Health
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}
The Multiphase Optimization Strategy (MOST) and the Sequential Multiple Assignment Randomized Trial (SMART). New Methods for More Potent eHealth Interventions. / Collins, Linda M.; Murphy, Susan A.; Strecher, Victor.
In: American Journal of Preventive Medicine, Vol. 32, No. 5 SUPPL., 01.05.2007, p. S112-S118.Research output: Contribution to journal › Article
TY - JOUR
T1 - The Multiphase Optimization Strategy (MOST) and the Sequential Multiple Assignment Randomized Trial (SMART). New Methods for More Potent eHealth Interventions
AU - Collins, Linda M.
AU - Murphy, Susan A.
AU - Strecher, Victor
PY - 2007/5/1
Y1 - 2007/5/1
N2 - Abstract: In this article two new methods for building and evaluating eHealth interventions are described. The first is the Multiphase Optimization Strategy (MOST). It consists of a screening phase, in which intervention components are efficiently identified for inclusion in an intervention or for rejection, based on their performance; a refining phase, in which the selected components are fine tuned and issues such as optimal levels of each component are investigated; and a confirming phase, in which the optimized intervention, consisting of the selected components delivered at optimal levels, is evaluated in a standard randomized controlled trial. The second is the Sequential Multiple Assignment Randomized Trial (SMART), which is an innovative research design especially suited for building time-varying adaptive interventions. A SMART trial can be used to identify the best tailoring variables and decision rules for an adaptive intervention empirically. Both the MOST and SMART approaches use randomized experimentation to enable valid inferences. When properly implemented, these approaches will lead to the development of more potent eHealth interventions.
AB - Abstract: In this article two new methods for building and evaluating eHealth interventions are described. The first is the Multiphase Optimization Strategy (MOST). It consists of a screening phase, in which intervention components are efficiently identified for inclusion in an intervention or for rejection, based on their performance; a refining phase, in which the selected components are fine tuned and issues such as optimal levels of each component are investigated; and a confirming phase, in which the optimized intervention, consisting of the selected components delivered at optimal levels, is evaluated in a standard randomized controlled trial. The second is the Sequential Multiple Assignment Randomized Trial (SMART), which is an innovative research design especially suited for building time-varying adaptive interventions. A SMART trial can be used to identify the best tailoring variables and decision rules for an adaptive intervention empirically. Both the MOST and SMART approaches use randomized experimentation to enable valid inferences. When properly implemented, these approaches will lead to the development of more potent eHealth interventions.
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UR - http://www.scopus.com/inward/citedby.url?scp=34247364640&partnerID=8YFLogxK
U2 - 10.1016/j.amepre.2007.01.022
DO - 10.1016/j.amepre.2007.01.022
M3 - Article
C2 - 17466815
AN - SCOPUS:34247364640
VL - 32
SP - S112-S118
JO - American Journal of Preventive Medicine
JF - American Journal of Preventive Medicine
SN - 0749-3797
IS - 5 SUPPL.
ER -