Computerized contingency management for motivating behavior change: Automated tracking and dynamic reward reinforcement management

Massoud Vahabzadeh, Jia Ling Lin, David H. Epstein, Mustapha Mezghanni, John Schmittner, Kenzie L. Preston

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Contingency management has been successfully used to reinforce abstinence in drug-dependent patients. The major challenge associated with this technique, however, is its likely prohibitive cost especially when the reinforcement follows an escalating amount schedule. At our clinic, we have implemented a less costly approach involving prize draws as the reinforcer. Workflow challenges of such an implementation are extensive considering varying conditions concurrently used in various protocols for meeting inclusion criteria, stratifying into various groups, tracking categories of prizes, determining eligibility for bonus draws based on laboratory results, etc. To address these challenges we implemented the Automated Contingency Management (ACM) decision support system for dynamic reward reinforcement in the study of treatment of cocaine and opiates. A discussion of the results of our research as well as possible insight into some of our findings provided by ACM is presented in this paper.

Original languageEnglish (US)
Title of host publicationProceedings - Twentieth IEEE International Symposium on Computer-Based Medical Systems, CBMS'07
Pages85-90
Number of pages6
DOIs
StatePublished - Oct 1 2007
Event20th IEEE International Symposium on Computer-Based Medical Systems, CBMS'07 - Maribor, Slovenia
Duration: Jun 20 2007Jun 22 2007

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
ISSN (Print)1063-7125

Other

Other20th IEEE International Symposium on Computer-Based Medical Systems, CBMS'07
CountrySlovenia
CityMaribor
Period6/20/076/22/07

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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    Vahabzadeh, M., Lin, J. L., Epstein, D. H., Mezghanni, M., Schmittner, J., & Preston, K. L. (2007). Computerized contingency management for motivating behavior change: Automated tracking and dynamic reward reinforcement management. In Proceedings - Twentieth IEEE International Symposium on Computer-Based Medical Systems, CBMS'07 (pp. 85-90). [4262631] (Proceedings - IEEE Symposium on Computer-Based Medical Systems). https://doi.org/10.1109/CBMS.2007.35