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 journalArticle

3 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 languageEnglish (US)
Pages (from-to)1-17
Number of pages17
JournalAdministration and Policy in Mental Health and Mental Health Services Research
DOIs
StateAccepted/In press - Jul 11 2018
Externally publishedYes

Fingerprint

Health Policy
Mental Health
Research

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

Cite this

Complex Systems Approaches to Understand Drivers of Mental Health and Inform Mental Health Policy : A Systematic Review. / Langellier, Brent A; Yang, Yong; Purtle, Jonathan; Nelson, Katherine L.; Stankov, Ivana; Diez Roux, Ana V.

In: Administration and Policy in Mental Health and Mental Health Services Research, 11.07.2018, p. 1-17.

Research output: Contribution to journalArticle

@article{957d11221dac415ba4fc59fa56d67518,
title = "Complex Systems Approaches to Understand Drivers of Mental Health and Inform Mental Health Policy: A Systematic Review",
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.",
keywords = "Complex systems, Mental health, Public policy, Systematic review, Systems science",
author = "Langellier, {Brent A} and Yong Yang and Jonathan Purtle and Nelson, {Katherine L.} and Ivana Stankov and {Diez Roux}, {Ana V.}",
year = "2018",
month = "7",
day = "11",
doi = "10.1007/s10488-018-0887-5",
language = "English (US)",
pages = "1--17",
journal = "Administration and Policy in Mental Health and Mental Health Services Research",
issn = "0894-587X",
publisher = "Springer New York",

}

TY - JOUR

T1 - Complex Systems Approaches to Understand Drivers of Mental Health and Inform Mental Health Policy

T2 - A Systematic Review

AU - Langellier, Brent A

AU - Yang, Yong

AU - Purtle, Jonathan

AU - Nelson, Katherine L.

AU - Stankov, Ivana

AU - Diez Roux, Ana V.

PY - 2018/7/11

Y1 - 2018/7/11

N2 - 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.

AB - 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.

KW - Complex systems

KW - Mental health

KW - Public policy

KW - Systematic review

KW - Systems science

UR - http://www.scopus.com/inward/record.url?scp=85049665230&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85049665230&partnerID=8YFLogxK

U2 - 10.1007/s10488-018-0887-5

DO - 10.1007/s10488-018-0887-5

M3 - Article

C2 - 29995289

AN - SCOPUS:85049665230

SP - 1

EP - 17

JO - Administration and Policy in Mental Health and Mental Health Services Research

JF - Administration and Policy in Mental Health and Mental Health Services Research

SN - 0894-587X

ER -