Participatory Systems Modelling for Youth Mental Health: An Evaluation Study Applying a Comprehensive Multi-Scale Framework.

evaluation criteria evaluation framework participatory modelling participatory systems modelling policy stakeholder-based modelling strategic decision making study protocol systems modelling and simulation youth mental health

Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
28 03 2022
Historique:
received: 26 02 2022
revised: 21 03 2022
accepted: 24 03 2022
entrez: 12 4 2022
pubmed: 13 4 2022
medline: 14 4 2022
Statut: epublish

Résumé

The youth mental health sector is persistently challenged by issues such as service fragmentation and inefficient resource allocation. Systems modelling and simulation, particularly utilizing participatory approaches, is offering promise in supporting evidence-informed decision making with limited resources by testing alternative strategies in safe virtual environments before implementing them in the real world. However, improved evaluation efforts are needed to understand the critical elements involved in and to improve methods for implementing participatory modelling for youth mental health system and service delivery. An evaluation protocol is described to evaluate the feasibility, value, impact, and sustainability of participatory systems modelling in delivering advanced decision support capabilities for youth mental health. This study applies a comprehensive multi-scale evaluation framework, drawing on participatory action research principles as well as formative, summative, process, and outcome evaluation techniques. Novel data collection procedures are presented, including online surveys that incorporate gamification to enable social network analysis and patient journey mapping. The evaluation approach also explores the experiences of diverse stakeholders, including young people with lived (or living) experience of mental illness. Social and technical opportunities will be uncovered, as well as challenges implementing these interdisciplinary methods in complex settings to improve youth mental health policy, planning, and outcomes. This study protocol can also be adapted for broader international applications, disciplines, and contexts.

Identifiants

pubmed: 35409697
pii: ijerph19074015
doi: 10.3390/ijerph19074015
pmc: PMC8998357
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Grace Yeeun Lee (GY)

Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050, Australia.

Ian Bernard Hickie (IB)

Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050, Australia.

Jo-An Occhipinti (JA)

Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050, Australia.
Computer Simulation & Advanced Research Technologies (CSART), Sydney, NSW 2021, Australia.

Yun Ju Christine Song (YJC)

Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050, Australia.

Salvador Camacho (S)

Swiss Centre for International Health, Swiss Tropical and Public Health Institute, 4123 Allschwil, Switzerland.
University of Basel, 4001 Basel, Switzerland.

Adam Skinner (A)

Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050, Australia.

Kenny Lawson (K)

Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050, Australia.

Samuel J Hockey (SJ)

Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050, Australia.

Adriane Martin Hilber (AM)

Swiss Centre for International Health, Swiss Tropical and Public Health Institute, 4123 Allschwil, Switzerland.
University of Basel, 4001 Basel, Switzerland.

Louise Freebairn (L)

Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050, Australia.
Computer Simulation & Advanced Research Technologies (CSART), Sydney, NSW 2021, Australia.
Research School of Population Health, The Australian National University, Canberra, ACT 0200, Australia.

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Classifications MeSH