| Title |
Complex Systems Approaches to Understand Drivers of Mental Health and Inform Mental Health Policy: A Systematic Review
|
|---|---|
| Published in |
Administration and Policy in Mental Health and Mental Health Services Research, July 2018
|
| DOI | 10.1007/s10488-018-0887-5 |
| Pubmed ID | |
| Authors |
Brent A. Langellier, Yong Yang, Jonathan Purtle, Katherine L. Nelson, Ivana Stankov, Ana V. Diez Roux |
| Abstract |
We conducted a systematic review of studies employing complex systems approaches (i.e., agent based and system dynamics models) to understand drivers of mental health and inform mental health policy. We extracted key data (e.g., purpose, design, data) for each study and provide a narrative synthesis of insights generated across studies. The studies investigated drivers and policy intervention strategies across a diversity of mental health outcomes. Based on these studies and the extant literature, we propose a typology of mental health research and policy areas that may benefit from complex systems approaches. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 3 | 75% |
| United Kingdom | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 112 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 15% |
| Researcher | 16 | 14% |
| Student > Master | 16 | 14% |
| Student > Doctoral Student | 6 | 5% |
| Student > Bachelor | 6 | 5% |
| Other | 17 | 15% |
| Unknown | 34 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 14% |
| Social Sciences | 14 | 13% |
| Psychology | 13 | 12% |
| Nursing and Health Professions | 10 | 9% |
| Engineering | 9 | 8% |
| Other | 12 | 11% |
| Unknown | 38 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 22 September 2022.
All research outputs
#5,819,706
of 23,849,058 outputs
Outputs from Administration and Policy in Mental Health and Mental Health Services Research
#197
of 670 outputs
Outputs of similar age
#96,391
of 328,442 outputs
Outputs of similar age from Administration and Policy in Mental Health and Mental Health Services Research
#1
of 3 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 670 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 70% of its peers.
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