7,205 Hits in 9.2 sec

Decision makers' experience of participatory dynamic simulation modelling: methods for public health policy

Louise Freebairn, Jo-An Atkinson, Paul M. Kelly, Geoff McDonnell, Lucie Rychetnik
2018 BMC Medical Informatics and Decision Making  
This paper reports the experience of end-user decision makers, including senior public health policy makers and health service providers, who participated in three participatory simulation modelling for  ...  However, the involvement of policy decision makers in health-related simulation model development has been lacking.  ...  The authors also acknowledge the senior public health executives and health service providers for contributing their time to be interviewed for this study.  ... 
doi:10.1186/s12911-018-0707-6 pmid:30541523 pmcid:PMC6291959 fatcat:pc4gdskv6bdypgjzr4qajsh45i

Knowledge mobilisation for policy development: implementing systems approaches through participatory dynamic simulation modelling

Louise Freebairn, Lucie Rychetnik, Jo-An Atkinson, Paul Kelly, Geoff McDonnell, Nick Roberts, Christine Whittall, Sally Redman
2017 Health Research Policy and Systems  
Conclusion: Participatory dynamic simulation modelling builds on contemporary knowledge mobilisation approaches for health stakeholders to collaborate and explore policy and health service scenarios for  ...  The participatory methods place the decision-maker at the centre of the process and embed deliberative methods and co-production of knowledge.  ...  Acknowledgements The authors acknowledge the valuable contributions of Ms Jocelyne Aldridge, NSW Ministry of Health, who made early contributions to this manuscript; and Professor John Wiggers, University  ... 
doi:10.1186/s12961-017-0245-1 pmid:28969642 pmcid:PMC5629638 fatcat:3ya6roto6jfytccifk4ozv7tym

Dynamic simulation modelling of policy responses to reduce alcohol-related harms: rationale and procedure for a participatory approach

Jo-An Atkinson, Eloise O'Donnell, john Wiggers, Geoff McDonnell, Jo Mitchell, Louise Freebairn, Devon Indig, Lucie Rychetnik
2017 Public Health Research & Practice  
Dynamic simulation modelling is increasingly being valued by the health sector as a robust tool to support decision making to address complex problems.  ...  , incorporate diverse evidence and perspectives, are better aligned to the decision-support needs of policy makers, and can facilitate consensus building for action.  ...  NSW Health, ACT Health, the Australian Government Department of Health, the Hospitals Contribution Fund of Australia and the HCF Research Foundation have contributed funds to support this work as part  ... 
doi:10.17061/phrp2711707 pmid:28243673 fatcat:3pphbkotpvac7gy7urg4vlovty

Simulation modelling as a tool for knowledge mobilisation in health policy settings: a case study protocol

L. Freebairn, J. Atkinson, P. Kelly, G. McDonnell, L. Rychetnik
2016 Health Research Policy and Systems  
an earlier version of this manuscript.  ...  Acknowledgements The authors acknowledge the valuable contributions of Associate Professor Alison Hayes, University of Sydney and Associate Professor Paul Dugdale, Australian National University, who reviewed  ...  Based on your experience would you say simulation modelling is worthwhile for health sector policy/practice settings? Why/why not?  ... 
doi:10.1186/s12961-016-0143-y pmid:27654897 pmcid:PMC5031301 fatcat:vkjok2dhoncunmon7fok7ps7re

Turning conceptual systems maps into dynamic simulation models: An Australian case study for diabetes in pregnancy

Louise Freebairn, Jo-An Atkinson, Nathaniel D. Osgood, Paul M. Kelly, Geoff McDonnell, Lucie Rychetnik, Sten H Vermund
2019 PLoS ONE  
Quantitative methods, such as participatory dynamic simulation modelling, can mobilise knowledge to inform health policy decisions.  ...  However, the analytic and practical steps required to turn collaboratively developed, qualitative system maps into rigorous and policy-relevant quantified dynamic simulation models are not well described  ...  Davison and Ms Christine Whittall who documented observations of model development workshops.  ... 
doi:10.1371/journal.pone.0218875 pmid:31247006 pmcid:PMC6597234 fatcat:ro4mjqkj5re27jf5rpwni6bk6a

Animal and human health: tackling uncertainty through participatory modelling and simulation

Raphaël Duboz, Aurélie Binot
2017 Perspective - Cirad  
Participatory modelling and simulation, a learning process well suited to the management of complex health problems in Southeast Asia and Southern Africa Participatory modelling and simulation, and companion  ...  modelling, are being successfully used by researchers from CIRAD and their partners in Southeast Asia and Southern Africa in the management of health problems and the emergence of zoonoses.  ...  New uncertainties are emerging, and nonconventional actors are entering the scene alongside the decision-makers traditionally responsible for public health.  ... 
doi:10.19182/agritrop/00011 fatcat:p6azdbpzzndozlkvkp5dx7v6mi

Modelling with stakeholders☆

Alexey Voinov, Francois Bousquet
2010 Environmental Modelling & Software  
Participatory modelling, with its various types and clones, has emerged as a powerful tool that can (a) enhance the stakeholders knowledge and understanding of a system and its dynamics under various conditions  ...  , as in collaborative learning, and (b) identify and clarify the impacts of solutions to a given problem, usually related to supporting decision making, policy, regulation or management.  ...  Acknowledgements The paper has been offered for open review as an EMS Position Paper.  ... 
doi:10.1016/j.envsoft.2010.03.007 fatcat:nuqvts6vurb3dlcjtd6vl7agcu

Ensuring the policy relevance of population health research: experiences from the Drug Policy Modelling Program

Alison Ritter
2011 NSW Public Health Bulletin  
There are three elements to the Drug Policy Modelling Program: generating new knowledge; translating evidence into information of relevance for decision makers; and studying policy processes.  ...  Illicit drugs are an important public health concern.  ...  They are simulations that provide the opportunity for decision makers to explore plausible scenarios. For example, the agent-based model simulates a street-based heroin market.  ... 
doi:10.1071/nb10062 pmid:21527076 fatcat:r5z4vlbwifcglfj3dz4wvrogvm

The application of system dynamics modelling to environmental health decision-making and policy - a scoping review

Danielle J. Currie, Carl Smith, Paul Jagals
2018 BMC Public Health  
System dynamics modelling has demonstrated considerable value across a number of different fields to help decision-makers understand and predict the dynamic behaviour of complex systems in support the  ...  Policy and decision-making processes are routinely challenged by the complex and dynamic nature of environmental health problems.  ...  Funding This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.  ... 
doi:10.1186/s12889-018-5318-8 pmid:29587701 pmcid:PMC5870520 fatcat:gdutczhkmvhrpnmp3hi5zm6nfe

Group model building: a participatory approach to understanding and acting on systems

Christine Siokou, Rebecca Morgan, Alan Shiell
2014 Public Health Research & Practice  
Group model building (GMB) is a participatory approach that is widely used to build the capacity of practitioners to think in a systems way.  ...  Key points • Group model building (GMB) is a means of engaging diverse stakeholders in a process for jointly understanding and addressing complex issues, such as disease prevention and health promotion  ...  Competing interests Research reported in this publication was supported by the Global Obesity Prevention Center (GOPC) at Johns Hopkins of the National Institutes of Health under award number U54HD070725  ... 
doi:10.17061/phrp2511404 pmid:25828443 fatcat:t3jnqzrhszhbthbsorar73vphq

A meta-model for including social behavior and data into smart city management simulations

Lara-Britt Zomer, Elhabib Moustaid, Sebastiaan Meijer
2015 2015 Winter Simulation Conference (WSC)  
and data for modeling urban transportation. 1705 978-1-4673-9743-8/15/$31.00 ©2015 IEEE  ...  regarding integration of sub-models across different systems.  ...  ACKNOWLEDGMENTS The authors wish to thank all participants in the PETRA project, funded by the European Commission 7th Framework Program (FP7-SMARTCITIES-2013) under project number 609042 for support to  ... 
doi:10.1109/wsc.2015.7408289 dblp:conf/wsc/ZomerMM15 fatcat:s2modlrrhrbw7kpgfc6jsjucfy

Participatory System Dynamics Modeling for Sustainable Environmental Management: Observations from Four Cases

Krystyna Stave
2010 Sustainability  
Participatory system dynamics modeling provides such a framework.  ...  To maximize the learning value of simulation models, it is important to allow enough time for debriefing the -aha!‖ moments that lead to curiosity about system behavior.  ...  They used the simulation model to learn about the system and to experiment with the effects of different policy decisions on the problem variables.  ... 
doi:10.3390/su2092762 fatcat:isengxcqmjfvret53vxpn23sue

A systematic literature review of simulation models for non-technical skill training in healthcare logistics

Chen Zhang, Thomas Grandits, Karin Pukk Härenstam, Jannicke Baalsrud Hauge, Sebastiaan Meijer
2018 Advances in Simulation  
became less popular and is complemented by system dynamics or hybrid modeling. (3) Agent-based simulations and participatory simulations have increased in absolute terms, but the share of these modeling  ...  Results show that the majority of studies create situations in which non-technical skills of managers, coordinators, and decision makers can be trained.  ...  simulation and system dynamics can be utilized for reducing the uncertainty of decision-making processes by adding details to the model.  ... 
doi:10.1186/s41077-018-0072-7 pmid:30065851 pmcid:PMC6062859 fatcat:a2dlwuskbzglblqgvo46o3hsxq

Using system dynamics modelling to assess the economic efficiency of innovations in the public sector - a systematic review

Nidhee Jadeja, Nina J. Zhu, Reda M. Lebcir, Franco Sassi, Alison Holmes, Raheelah Ahmad, Behzad Behdani
2022 PLoS ONE  
Decision-makers for public policy are increasingly utilising systems approaches such as system dynamics (SD) modelling, which test alternative interventions or policies for their potential impact while  ...  Embdedded sub-models within a dynamic SD framework can reveal a clear allocation of costs and benefits to periods of time, whereas cost calculations based on the SD model outputs can be useful for high-level  ...  Acknowledgments The authors would like to thank Christine Agbenu for contributing as third reviewer to the study screening process.  ... 
doi:10.1371/journal.pone.0263299 pmid:35143541 pmcid:PMC8830692 fatcat:ydftee2dnbbdlmmsigqnyduvvy

Presenting a comprehensive multi-scale evaluation framework for participatory modelling programs: A scoping review

Grace Yeeun Lee, Ian Bernard Hickie, Jo-An Occhipinti, Yun Ju Christine Song, Adam Skinner, Salvador Camacho, Kenny Lawson, Adriane Martin Hilber, Louise Freebairn, Fausto Cavallaro
2022 PLoS ONE  
as which aspects are particularly important for policy decisions, community learning, and the ongoing improvement of participatory modelling methods.  ...  Introduction Systems modelling and simulation can improve understanding of complex systems to support decision making, better managing system challenges.  ...  Acknowledgments The authors would like to thank Glen Smyth, Academic Liaison Librarian at The University of Sydney, for his guidance and support in developing the search strategy.  ... 
doi:10.1371/journal.pone.0266125 pmid:35452462 pmcid:PMC9032404 fatcat:kouhiw4pnrcfrovzmpfvoxhcl4
« Previous Showing results 1 — 15 out of 7,205 results