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Improving practice-research connections through technology transfer networks.

Kimberley R Isett1, Susan D Phillips

  • 1Department of Health Policy and Management, Columbia University, New York, NY 10032, USA. ki2129@columbia.edu

The Journal of Behavioral Health Services & Research
|August 6, 2009
PubMed
Summary
This summary is machine-generated.

Technology transfer networks, like the National Child Traumatic Stress Network, effectively bridge the gap between research and practice in behavioral healthcare. These networks enhance professional knowledge and practice, proving valuable for resource investment.

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Area of Science:

  • Health Services Research
  • Behavioral Healthcare
  • Knowledge Translation

Background:

  • The science-to-service gap in behavioral healthcare limits the adoption of evidence-based practices.
  • Technology transfer networks are proposed as a mechanism to facilitate the dissemination of research findings.
  • The National Child Traumatic Stress Network provides a case study for evaluating such networks.

Purpose of the Study:

  • To assess the value and importance of technology transfer networks.
  • To understand how these networks reduce the gap between research and practice in behavioral healthcare.
  • To analyze network and survey data from the National Child Traumatic Stress Network.

Main Methods:

  • Analysis of administrative and survey data.
  • Examination of formal relationships within a national network.
  • Qualitative and quantitative assessment of network utility.

Main Results:

  • A robust structure of formal relationships was identified within the National Child Traumatic Stress Network.
  • Participants reported that network relationships and communication channels were useful.
  • Network participation led to changes in daily practices and increased professional knowledge.

Conclusions:

  • Technology transfer networks are effective in improving behavioral healthcare delivery.
  • Investment in these networks is warranted due to their demonstrated value.
  • Formal relationships within networks are key to successful knowledge translation.