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

被引:7
|
作者
Lee, Grace Yeeun [1 ]
Hickie, Ian Bernard [1 ]
Occhipinti, Jo-An [1 ,2 ]
Song, Yun Ju Christine [1 ]
Camacho, Salvador [3 ,4 ]
Skinner, Adam [1 ]
Lawson, Kenny [1 ]
Hockey, Samuel J. [1 ]
Hilber, Adriane Martin [3 ,4 ]
Freebairn, Louise [1 ,2 ,5 ]
机构
[1] Univ Sydney, Brain & Mind Ctr, Sydney, NSW 2050, Australia
[2] Comp Simulat & Adv Res Technol CSART, Sydney, NSW 2021, Australia
[3] Swiss Trop & Publ Hlth Inst, Swiss Ctr Int Hlth, CH-4123 Allschwil, Switzerland
[4] Univ Basel, CH-4001 Basel, Switzerland
[5] Australian Natl Univ, Res Sch Populat Hlth, Canberra, ACT 0200, Australia
关键词
youth mental health; policy; participatory modelling; participatory systems modelling; evaluation framework; evaluation criteria; systems modelling and simulation; strategic decision making; stakeholder-based modelling; study protocol; SERVICES;
D O I
10.3390/ijerph19074015
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:18
相关论文
共 50 条
  • [1] Presenting a comprehensive multi-scale evaluation framework for participatory modelling programs: A scoping review
    Lee, Grace Yeeun
    Hickie, Ian Bernard
    Occhipinti, Jo-An
    Song, Yun Ju Christine
    Skinner, Adam
    Camacho, Salvador
    Lawson, Kenny
    Hilber, Adriane Martin
    Freebairn, Louise
    [J]. PLOS ONE, 2022, 17 (04):
  • [2] Partnering with Aboriginal and Torres Strait Islander Peoples: An Evaluation Study Protocol to Strengthen a Comprehensive Multi-Scale Evaluation Framework for Participatory Systems Modelling through Indigenous Paradigms and Methodologies
    Lee, Grace Yeeun
    Robotham, Julie
    Song, Yun Ju C.
    Occhipinti, Jo-An
    Troy, Jakelin
    Hirvonen, Tanja
    Feirer, Dakota
    Iannelli, Olivia
    Loblay, Victoria
    Freebairn, Louise
    Agung-Igusti, Rama
    Chang, Ee Pin
    Dudgeon, Pat
    Hickie, Ian Bernard
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2023, 20 (01)
  • [3] A framework for multi-scale modelling
    Chopard, B.
    Borgdorff, Joris
    Hoekstra, A. G.
    [J]. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2014, 372 (2021):
  • [4] Towards Youth Mental Health System Reform: An Evaluation of Participatory Systems Modelling in the Australian Capital Territory
    Lee, Grace Yeeun
    Hickie, Ian Bernard
    Song, Yun Ju C.
    Huntley, Sam
    Ho, Nicholas
    Loblay, Victoria
    Freebairn, Louise
    Skinner, Adam
    Crosland, Paul
    Moore, Elizabeth
    Johnson, Natalie
    Lentern, Stephanie
    Brogden, Josephine
    Barry, Erin
    Vacher, Catherine
    Rosenberg, Sebastian
    Mayers, Paul
    Iannelli, Olivia
    Park, Shin Ho
    Occhipinti, Jo-An
    [J]. SYSTEMS, 2023, 11 (08):
  • [5] A process algebra framework for multi-scale modelling of biological systems
    Degasperi, A.
    Calder, M.
    [J]. THEORETICAL COMPUTER SCIENCE, 2013, 488 : 15 - 45
  • [6] Smart Models - a framework for adaptive multi-scale modelling
    Fraga, Eric S.
    Wills, Gary
    Fairweather, Michael
    Perris, Tony
    [J]. 16TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING AND 9TH INTERNATIONAL SYMPOSIUM ON PROCESS SYSTEMS ENGINEERING, 2006, 21 : 457 - 462
  • [7] Multi-scale and Reduced Modelling of Biological Systems
    Barbulescu, Ruxandra
    Ioan, Daniel
    [J]. 2015 9TH INTERNATIONAL SYMPOSIUM ON ADVANCED TOPICS IN ELECTRICAL ENGINEERING (ATEE), 2015, : 597 - 602
  • [8] Multi-scale modelling and simulation in systems biology
    Dada, Joseph O.
    Mendes, Pedro
    [J]. INTEGRATIVE BIOLOGY, 2011, 3 (02) : 86 - 96
  • [9] Multi-scale Modelling of Electrochemically Promoted Systems
    Fragkopoulos, Ioannis S.
    Theodoropoulos, Constantinos
    [J]. ELECTROCHIMICA ACTA, 2014, 150 : 232 - 244
  • [10] Applying the global RCP-SSP-SPA scenario framework at sub-national scale: A multi-scale and participatory scenario approach
    Kebede, Abiy S.
    Nicholls, Robert J.
    Allan, Andrew
    Arto, Inaki
    Cazcarro, Ignacio
    Fernandes, Jose A.
    Hill, Chris T.
    Hutton, Craig W.
    Kay, Susan
    Lazar, Attila N.
    Macadam, Ian
    Palmer, Matthew
    Suckall, Natalie
    Tompkins, Emma L.
    Vincent, Katharine
    Whitehead, Paul W.
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 635 : 659 - 672