Participatory System Dynamics Modeling: Increasing Stakeholder Engagement and Precision to Improve Implementation Planning in Systems

Lindsey Zimmerman, David W. Lounsbury, Craig S. Rosen, Rachel Kimerling, Jodie A. Trafton, Steven E. Lindley

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Implementation planning typically incorporates stakeholder input. Quality improvement efforts provide data-based feedback regarding progress. Participatory system dynamics modeling (PSD) triangulates stakeholder expertise, data and simulation of implementation plans prior to attempting change. Frontline staff in one VA outpatient mental health system used PSD to examine policy and procedural “mechanisms” they believe underlie local capacity to implement evidence-based psychotherapies (EBPs) for PTSD and depression. We piloted the PSD process, simulating implementation plans to improve EBP reach. Findings indicate PSD is a feasible, useful strategy for building stakeholder consensus, and may save time and effort as compared to trial-and-error EBP implementation planning.

Original languageEnglish (US)
Pages (from-to)1-16
Number of pages16
JournalAdministration and Policy in Mental Health and Mental Health Services Research
DOIs
StateAccepted/In press - Aug 1 2016

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Psychotherapy
Post-Traumatic Stress Disorders
Quality Improvement
Consensus
Mental Health
Outpatients
Depression

Keywords

  • Evidence-based practices
  • Implementation science
  • Mental health
  • Participatory stakeholder engagement
  • System dynamics

ASJC Scopus subject areas

  • Phychiatric Mental Health
  • Health Policy
  • Public Health, Environmental and Occupational Health
  • Psychiatry and Mental health

Cite this

Participatory System Dynamics Modeling : Increasing Stakeholder Engagement and Precision to Improve Implementation Planning in Systems. / Zimmerman, Lindsey; Lounsbury, David W.; Rosen, Craig S.; Kimerling, Rachel; Trafton, Jodie A.; Lindley, Steven E.

In: Administration and Policy in Mental Health and Mental Health Services Research, 01.08.2016, p. 1-16.

Research output: Contribution to journalArticle

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