For the most part even the best behavioral interventions for prevention and treatment of drug abuse and related conditions such as HIV/AIDS and Hepatitis C have not been systematically optimized to achieve their maximum potency and public health benefit. Collins et al. (in press) have outlined a framework for systematic optimization of behavioral interventions. This framework, called the Multiphase Optimization STrategy (MOST), divides behavioral intervention research into three phases: screening, in which a set of intervention components under consideration is efficiently sorted through to select the promising candidates for further investigation; refining, in which optimal intervention doses are determined and interactions between program components and characteristics of the individual, environment, and so on are examined; and confirming, in which an optimized program constructed on the basis of the results of the screening and refining phases is subjected to a full intervention trial. MOST relies on specialized, very economical designs that are commonly used in engineering, to allow the user to address research questions of primary importance using the smallest possible number of experimental conditions. Using computer simulations, the present project will carry out an investigation of MOST, based on ongoing input from drug abuse intervention scientists. The simulations will investigate the effects of key aspects of drug abuse intervention research that occur commonly in empirical settings, to establish how a high degree of accuracy in decision making can be maintained in MOST under noisy field research conditions. They will also explore how economic cost-effectiveness analysis can be incorporated into the MOST procedure. The end result will be dissemination of clear guidelines for intervention scientists who wish to use MOST in their work. This will lead to more potent behavioral interventions, which will have a larger and more sustained impact on the reduction of drug abuse and related morbidity and mortality.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Specialized Center (P50)
Project #
5P50DA010075-13
Application #
7679633
Study Section
Special Emphasis Panel (ZDA1)
Project Start
2008-09-01
Project End
2010-08-31
Budget Start
2008-09-01
Budget End
2009-08-31
Support Year
13
Fiscal Year
2008
Total Cost
$142,380
Indirect Cost
Name
Pennsylvania State University
Department
Type
DUNS #
003403953
City
University Park
State
PA
Country
United States
Zip Code
16802
Perzow, Sarah E D; Bray, Bethany C; Wadsworth, Martha E (2018) Financial stress response profiles and psychosocial functioning in low-income parents. J Fam Psychol 32:517-527
Smith, Rachel A; Sillars, Alan; Chesnut, Ryan P et al. (2018) Investigating Married Adults' Communal Coping with Genetic Health Risk and Perceived Discrimination. Commun Monogr 85:181-202
Bray, Bethany C; Dziak, John J; Patrick, Megan E et al. (2018) Inverse Propensity Score Weighting with a Latent Class Exposure: Estimating the Causal Effect of Reported Reasons for Alcohol Use on Problem Alcohol Use 16 Years Later. Prev Sci :
Bediako, Phylicia T; BeLue, Rhonda; Hillemeier, Marianne M (2018) Immigrant Generational Status and Developmental Problems among Prematurely Born Children. J Immigr Minor Health 20:422-430
Nahum-Shani, Inbal; Dziak, John J; Collins, Linda M (2018) Multilevel factorial designs with experiment-induced clustering. Psychol Methods 23:458-479
Russell, Michael A; Schlomer, Gabriel L; Cleveland, H Harrington et al. (2018) PROSPER Intervention Effects on Adolescents' Alcohol Misuse Vary by GABRA2 Genotype and Age. Prev Sci 19:27-37
Reid, Alexander; Halgunseth, Linda C; Espinosa-Hernandez, Graciela et al. (2018) Sociocultural Influences on the Association Between Negative Romantic Experiences and Psychological Maladjustment in Mexican Adolescents. J Res Adolesc 28:888-901
Guastaferro, Kate; Lai, Betty S; Miller, Katy et al. (2018) Braiding Two Evidence-based Programs for Families at-risk: Results of a Cluster Randomized Trial. J Child Fam Stud 27:535-546
George, Madeleine J; Russell, Michael A; Piontak, Joy R et al. (2018) Concurrent and Subsequent Associations Between Daily Digital Technology Use and High-Risk Adolescents' Mental Health Symptoms. Child Dev 89:78-88
Layland, Eric K; Calhoun, Brian H; Russell, Michael A et al. (2018) Is Alcohol and Other Substance Use Reduced When College Students Attend Alcohol-Free Programs? Evidence from a Measurement Burst Design Before and After Legal Drinking Age. Prev Sci :

Showing the most recent 10 out of 443 publications