| Literature DB >> 31542735 |
Rochelle Tobin1, Jonathan Hallett2, Roanna Lobo2, Bruce Richard Maycock2.
Abstract
INTRODUCTION: Partnership models that bring researchers, policymakers and service providers closer together are gaining traction as a strategy to improve public health practice. Yet, there is little evidence of how these models work, or indeed if they do work. The Sexual Health and Blood-borne Virus Applied Research and Evaluation Network (SiREN) is one such model. SiREN is a partnership between researchers, policymakers and service providers that aims to develop the research and evaluation capacity and evidence-informed decision making capability of professionals working to address sexual health and bloodborne virus issues in Western Australia. This study will use a systems approach to identify the mechanisms of action, impacts and outcomes of SiREN and inform the development of evaluation tools. METHODS AND ANALYSIS: Data will be collected from organisational documents, surveys, in-depth interviews and a workshop. It will be analysed using a complex adaptive systems lens and findings will be used to inform the development of a type of qualitative systems model called a causal loop diagram. The causal loop diagram will illustrate the: contextual factors influencing engagement; mechanisms of action; and impacts and outcomes of SiREN. Evaluation tools will then be developed that can be used to assess the indicators identified in the causal loop diagram. ETHICS AND DISSEMINATION: Ethics approval was obtained from the Curtin University Human Research Ethics Committee (approval number: HRE2017-0090). Participants will be free to withdraw from the study at any point and confidentiality will be maintained by de-identifying participant responses in any published or shared data. The findings from this study will be shared in conference presentations, reports, peer-reviewed journals and online through websites and social media. © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.Entities:
Keywords: Research capacity; causal loop diagram; evaluation capacity; partnerships; public health; systems thinking
Year: 2019 PMID: 31542735 PMCID: PMC6756426 DOI: 10.1136/bmjopen-2018-026706
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1An example of a reinforcing loop and a balancing loop.
Elements of complex adaptive systems
| Element | Description |
| Path dependence | History is important. Processes can have similar starting points and lead to different outcomes. |
| Feedback loops | An output within the system is fed back as an input. |
| Emergent behaviours | Spontaneous creation of order. Occurs when elements within the system interact to bring about change within the system. |
| Time delays | Time delays between events occurring within the system. |