Complex Systems Approaches to Understand Drivers of Mental Health and Inform Mental Health Policy: A Systematic Review

Brent A. Langellier; Yong Yang; Jonathan Purtle; Katherine L. Nelson; Ivana Stankov; Ana V. Diez Roux

doi:10.1007/s10488-018-0887-5

Complex Systems Approaches to Understand Drivers of Mental Health and Inform Mental Health Policy: A Systematic Review

Brent A. Langellier, Yong Yang, Jonathan Purtle, Katherine L. Nelson, Ivana Stankov, Ana V. Diez Roux

Research output: Contribution to journal › Article › peer-review

26 Citations (Scopus)

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.

Original language	English
Pages (from-to)	128-144
Number of pages	17
Journal	Administration and Policy in Mental Health and Mental Health Services Research
Volume	46
Issue number	2
DOIs	https://doi.org/10.1007/s10488-018-0887-5
Publication status	Published or Issued - 15 Mar 2019
Externally published	Yes

Keywords

Complex systems
Mental health
Public policy
Systematic review
Systems science

ASJC Scopus subject areas

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

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10.1007/s10488-018-0887-5

Cite this

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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.",

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author = "Langellier, {Brent A.} and Yong Yang and Jonathan Purtle and Nelson, {Katherine L.} and Ivana Stankov and {Diez Roux}, {Ana V.}",

note = "Funding Information: Funding Horizon 2020 Framework Programme [Grant Number 667661]. This study was supported by the European Union Horizon 2020 Programme [Grant Number 667661] (Promoting mental wellbeing in the ageing population—MINDMAP). The study does not necessarily reflect the Commission{\textquoteright}s views and in no way anticipates the Commission{\textquoteright}s future policy in this area. Publisher Copyright: {\textcopyright} 2018, Springer Science+Business Media, LLC, part of Springer Nature.",

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Complex Systems Approaches to Understand Drivers of Mental Health and Inform Mental Health Policy: A Systematic Review. / Langellier, Brent A.; Yang, Yong; Purtle, Jonathan et al.
In: Administration and Policy in Mental Health and Mental Health Services Research, Vol. 46, No. 2, 15.03.2019, p. 128-144.

Research output: Contribution to journal › Article › peer-review

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AU - Nelson, Katherine L.

AU - Stankov, Ivana

AU - Diez Roux, Ana V.

N1 - Funding Information: Funding Horizon 2020 Framework Programme [Grant Number 667661]. This study was supported by the European Union Horizon 2020 Programme [Grant Number 667661] (Promoting mental wellbeing in the ageing population—MINDMAP). The study does not necessarily reflect the Commission’s views and in no way anticipates the Commission’s future policy in this area. Publisher Copyright: © 2018, Springer Science+Business Media, LLC, part of Springer Nature.

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Complex Systems Approaches to Understand Drivers of Mental Health and Inform Mental Health Policy: A Systematic Review

Abstract

Keywords

ASJC Scopus subject areas

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