Work

Designing adaptive intensive interventions using methods from engineering.

Year: 2014

Type: article

Abstract: OBJECTIVE: Adaptive intensive interventions are introduced, and new methods from the field of control engineering for use in their design are illustrated. METHOD: A detailed step-by-step explanation of how control engineering methods can be used with intensive longitudinal data to design an adaptive intensive intervention is provided. The methods are evaluated via simulation. RESULTS: Simulation results illustrate how the designed adaptive intensive intervention can result in improved outcomes with less treatment by providing treatment only when it is needed. Furthermore, the methods are robust to model misspecification as well as the influence of unobserved causes. CONCLUSIONS: These new methods can be used to design adaptive interventions that are effective yet reduce participant burden.

Source: Journal of Consulting and Clinical Psychology

DOI: 10.1037/a0037736

Authors: Constantino M. Lagoa, Korkut Bekiroglu, Stephanie T. Lanza, Susan A. Murphy

Institutions: Pennsylvania State University, University of Michigan

Language: English

Topic: Mental Health Research Topics

Subfield: Experimental and Cognitive Psychology

Field: Psychology

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institute on Drug Abuse, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering