The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
The application of systems thinking in health: why use systems thinking?
Open accessAbstract
This paper explores the question of what systems thinking adds to the field of global health. Observing that elements of systems thinking are already common in public health research, the article discusses which of the large body of theories, methods, and tools associated with systems thinking are more useful. The paper reviews the origins of systems thinking, describing a range of the theories, methods, and tools. A common thread is the idea that the behavior of systems is governed by common principles that can be discovered and expressed. They each address problems of complexity, which is a frequent challenge in global health. The different methods and tools are suited to different types of inquiry and involve both qualitative and quantitative techniques. The paper concludes by emphasizing that explicit models used in systems thinking provide new opportunities to understand and continuously test and revise our understanding of the nature of things, including how to intervene to improve people's health.
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Cited by
Jull, J., Giles, A., & Graham, I. D. (2017) · Implementation Science · doi:10.1186/s13012-017-0696-3 · Cited by 651
The case for systems thinking about climate change and mental health
Berry, H. L., Waite, T. D., Dear, K. B. G., Capon, A. G., & Murray, V. (2018) · Nature Climate Change · doi:10.1038/s41558-018-0102-4 · Cited by 485
Systems approaches to global and national physical activity plans
Rutter, H., Cavill, N., Bauman, A., & Bull, F. (2019) · Bulletin of the World Health Organization · doi:10.2471/blt.18.220533 · Cited by 268
McGill, E., Er, V., Penney, T., Egan, M., White, M., Meier, P., Whitehead, M., Lock, K., Anderson de Cuevas, R., Smith, R., et al. (2021) · Social Science & Medicine · doi:10.1016/j.socscimed.2021.113697 · Cited by 257
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“Systems thinking characteristics considered included: capturing perceptions and interactions of multiple interacting agents, network analysis, mapping of contextual factors, process mapping, describing feedback mechanisms, and other approaches that could inform system dynamics modelling (Peters, 2014).”
BackgroundInfluential
Metadata
- Authors
- Peters, D. H.
- Venue
- Health Research Policy and Systems
- Published
- 2014-08-26
- Volume
- 12
- Issue
- 1
- Pages
- 51-51
- ISSN
- 1478-4505 (ISSN-L)
- OpenAlex
- W2151999777
- Cited by
- 577
- References
- 42
- FWCI
- 25.05
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.