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Organizational predictors of pharmacological innovation adoption: The case of disulfiram

  • Hannah K. Knudsen(corresponding author)
    ,
  • Paul M. Roman
    ,
  • Lori J. Ducharme
    ,
*Corresponding author for this work
  • University of Georgia Griffin Campus
    ,
  • University of Georgia
    ,
  • Unknown
Scholary Output:
Contribution to journal
Article
Peer-review

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

The research-to-practice gap in substance abuse treatment, particularly with regard to pharmacological innovations, necessitates the consideration of organizational characteristics that facilitate the adoption of innovations. Using data from a nationally representative sample of 394 privately funded substance abuse treatment centers, this study examines variation in the adoption of disulfiram in terms of organizational structure, workforce professionalism, and treatment philosophy. Logistic regression results indicated that hospital-based centers were significantly more likely to use disulfiram than freestanding treatment programs. In addition, the percentage of counselors with master's degrees and the percentage of certified/licensed counselors were positively associated with the likelihood of disulfiram utilization. Treatment centers that emphasized confrontational group therapy and spirituality were less likely to use disulfiram, while the adoption of disulfiram was more likely in centers that emphasized a medical model of addiction.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 559-574 (16 pages)

Journal (Volume, Issue Number)

Journal of Drug Issues (Volume 35, Issue 3)

Publication milestones

  • Published - 2005

Publication status

Published - 2005

ISSN

0022-0426

Publication IDs

  • Scopus: 25844495789
  • ORCID: /0000-0002-3150-2199/work/67683826

Publication metrics

Metrics

Fractional count
1
Fractional count
0.25
Fractional count
3
Fractional count
0.75
Fractional count
1
Fractional count
1
SciVal
citations
30
Scopus
citations
SciVal
FWCI
1.80
SciVal
Author count
4
SciVal
Paper percentile
79

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Captures
22
Citation count
31