| Title |
Participatory System Dynamics Modeling: Increasing Stakeholder Engagement and Precision to Improve Implementation Planning in Systems
|
|---|---|
| Published in |
Administration and Policy in Mental Health and Mental Health Services Research, August 2016
|
| DOI | 10.1007/s10488-016-0754-1 |
| Pubmed ID | |
| Authors |
Lindsey Zimmerman, David W. Lounsbury, Craig S. Rosen, Rachel Kimerling, Jodie A. Trafton, Steven E. Lindley |
| 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. |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 56% |
| Nigeria | 1 | 6% |
| Unknown | 6 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 50% |
| Scientists | 7 | 44% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 165 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 19% |
| Researcher | 28 | 17% |
| Student > Doctoral Student | 17 | 10% |
| Student > Master | 16 | 10% |
| Other | 12 | 7% |
| Other | 27 | 16% |
| Unknown | 33 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 26 | 16% |
| Psychology | 23 | 14% |
| Medicine and Dentistry | 22 | 13% |
| Nursing and Health Professions | 10 | 6% |
| Engineering | 10 | 6% |
| Other | 32 | 19% |
| Unknown | 42 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 May 2019.
All research outputs
#3,119,205
of 25,656,290 outputs
Outputs from Administration and Policy in Mental Health and Mental Health Services Research
#105
of 725 outputs
Outputs of similar age
#54,439
of 381,959 outputs
Outputs of similar age from Administration and Policy in Mental Health and Mental Health Services Research
#4
of 16 outputs
Altmetric has tracked 25,656,290 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 725 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 85% of its peers.
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We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.