Journal article
A systemic approach to achieving population-level impact in injury and violence prevention
Systems Research and Behavioral Science, Vol.38(1), pp.21-30
2020
PMID: 32322154
Abstract
The contemporary public health model for injury and violence prevention is a four-step process, which has been difficult to fully actualize in real-world contexts. This difficulty results from challenges in bridging science to practice and developing and applying population-level approaches. Prevention programmes and policies are embedded within and impacted by a range of system-level factors, which must be considered and actively managed when addressing complex public health challenges involving multiple sectors and stakeholders. To address these concerns, a systemic approach to population-level injury and violence prevention is being developed and explored by the Division of Analysis, Research, and Practice Integration in the National Center for Injury Prevention and Control at the Centers for Disease Control and Prevention. This article makes the case for and provides a high-level overview of this systemic approach, its various components, and how it is being applied in one governmental unit.
Details
- Title
- A systemic approach to achieving population-level impact in injury and violence prevention
- Authors
- L Shakiyla Smith (Author) - Fetzer InstituteNatalie J Wilkins (Corresponding Author) - Centers for Disease Control and PreventionRoderick J McClure (Author) - University of New England
- Publication details
- Systems Research and Behavioral Science, Vol.38(1), pp.21-30
- Publisher
- John Wiley & Sons Ltd.
- DOI
- 10.1002/sres.2668
- ISSN
- 1099-1743
- PMID
- 32322154
- Organisation Unit
- University of the Sunshine Coast, Queensland; Centre for Human Factors and Sociotechnical Systems
- Language
- English
- Record Identifier
- 99651249702621
- Output Type
- Journal article
Metrics
47 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Management
- Social Sciences, Interdisciplinary
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites