Deakin University
Browse

Tools and analytic techniques to synthesise community knowledge in CBPR using computer-mediated participatory system modelling

Download (1.09 MB)
Version 2 2024-06-18, 19:47
Version 1 2020-04-22, 13:57
journal contribution
posted on 2024-06-18, 19:47 authored by Josh HaywardJosh Hayward, S Morton, Michael JohnstoneMichael Johnstone, Douglas CreightonDouglas Creighton, Steven AllenderSteven Allender
AbstractParticipatory systems thinking methods are often used in community-based participatory research to engage and respond to complexity. Participation in systems thinking activities creates opportunities for participants to gain useful insights about complexity. It is desirable to design activities that extend the benefits of this participation into communities, as these insights are predictive of success in community-based prevention. This study tests an online, computer-mediated participatory system modelling platform (STICKE) and associated methods for collating and analysing its outputs. STICKE was trialled among a group of community members to test a computer-mediated system modelling exercise. The causal diagrams resulting from the exercise were then merged, and network analysis and DEMATEL methods applied to inform the generation of a smaller summary model to communicate insights from the participant group as a whole. Participants successfully completed the online modelling activity, and created causal diagrams consistent with expectations. The DEMATEL analysis was identified as the participant-preferred method for converging individuals causal diagrams into a coherent and useful summary. STICKE is an accessible tool that enabled participants to create causal diagrams online. Methods trialled in this study provide a protocol for combining and summarising individual causal diagrams that was perceived to be useful by the participant group. STICKE supports communities to consider and respond to complex problems at a local level, which is cornerstone of sustainable effective prevention. Understanding how communities perceive their own health challenges will be important to better support and inform locally owned prevention efforts.

History

Journal

npj Digital Medicine

Volume

3

Article number

ARTN 22

Pagination

1 - 6

Location

England

Open access

  • Yes

ISSN

2398-6352

eISSN

2398-6352

Language

English

Publication classification

C1 Refereed article in a scholarly journal

Issue

1

Publisher

NATURE RESEARCH

Usage metrics

    Research Publications

    Categories

    No categories selected

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC