Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Thompson casts doubt on the rehabilitative intentions of prison labor

Inglehart says European social democracy is a victim of its own success

Bound, Khanna, and Morales find multiple effects of H1-B visas on US tech industry

More News

Highlights

Heather Ann Thompson wins Bancroft Prize for History for 'Blood in the Water'

Michigan ranks in USN&WR top-10 grad schools for sociology, public health, labor economics, social policy, social psychology

Paula Lantz to speak at Women in Health Leadership Summit, March 24, 2:30-5:30 Michigan League

New site highlights research, data, and publications of Relationship Dynamics and Social Life study

More Highlights

Next Brown Bag

Mon, March 20, 2017, noon:
Dean Yang, Taken by Storm

A Strategy for Optimizing and Evaluating Behavioral Interventions

Publication Abstract

Collins, L.M., Susan A. Murphy, V. Nair, and V. Strecher. 2005. "A Strategy for Optimizing and Evaluating Behavioral Interventions." Annals of Behavioral Medicine, 30(1): 66-73.

Background. This article suggests a multiphase optimization strategy (MOST) for achieving the dual goals of program optimization and program evaluation in the behavioral intervention field. Methods. MOST consists of the following three phases: (1) screening, in which randomized experimentation closely guided by theory is used to asses an array of program and/or delivery components and select the components that merit further investigation; (2) refining, in which interactions among the identified set of components and their interrelationships with covariates are investigated in detail, again via randomized experiments, and optimal dosage levels and combinations of components are identified; and (3) confirming, in which the resulting optimized intervention is evaluated by means of a standard randomized intervention trial. In order to make the best use of available resources, MOST relies on design and analysis tools that help maximize efficiency, such as fractional factorials. Results. A slightly modified version of an actual application of MOST to develop a smoking cessation intervention is used to develop and present the ideas. Conclusions. MOST has the potential to husband program development resources while increasing our understanding of the individual program and delivery components that make up interventions. Considerations, challenges, open questions, and other potential

Browse | Search : All Pubs | Next