Dynamic Diffusion Network: Advancing moral injury care and suicide prevention using an innovative model.

Journal Article (Journal Article)

Healthcare providers across a wide variety of settings face a common challenge: the need to provide real time care for complex problems that are not adequately addressed by existing protocols. In response to these intervention gaps, frontline providers may utilize existing evidence to develop new approaches that are tailored to specific problems. It is imperative that such approaches undergo some form of evaluation, ensuring quality control while permitting ongoing adaptation and refinement. "Dynamic diffusion" is an innovative approach to intervention improvement and dissemination whereby care practices are delivered and continuously evaluated under real-world conditions as part of a structured network experience. This "dynamic diffusion network" (DDN) promotes cross-pollination of ideas and shared learning to generate relatively rapid improvements in care. The pilot Mental Health and Chaplaincy DDN was developed to advance suicide prevention efforts and moral injury care practices being conducted by 13 chaplain-mental health professional teams across the Veterans Health Administration. Lessons learned from the pilot DDN include the importance of the following: geographic and cultural diversity among innovation collaborators to ensure the broadest possible relevance of solutions; leadership support to facilitate engagement of frontline providers in quality improvement efforts; and participation in a community of practice to motivate providers and offer opportunities for direct collaboration and cross-pollination of ideas.

Full Text

Duke Authors

Cited Authors

  • Smigelsky, MA; Nieuwsma, JA; Meador, K; Vega, RJ; Henderson, B; Jackson, GL

Published Date

  • September 2020

Published In

Volume / Issue

  • 8 / 3

Start / End Page

  • 100440 -

PubMed ID

  • 32919579

Pubmed Central ID

  • PMC7405892

Electronic International Standard Serial Number (EISSN)

  • 2213-0772

Digital Object Identifier (DOI)

  • 10.1016/j.hjdsi.2020.100440


  • eng

Conference Location

  • Netherlands