The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Learning from Evidence in a Complex World
Open accessAbstract
Policies to promote public health and welfare often fail or worsen the problems they are intended to solve. Evidence-based learning should prevent such policy resistance, but learning in complex systems is often weak and slow. Complexity hinders our ability to discover the delayed and distal impacts of interventions, generating unintended “side effects.” Yet learning often fails even when strong evidence is available: common mental models lead to erroneous but self-confirming inferences, allowing harmful beliefs and behaviors to persist and undermining implementation of beneficial policies. Here I show how systems thinking and simulation modeling can help expand the boundaries of our mental models, enhance our ability to generate and learn from evidence, and catalyze effective change in public health and beyond.
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Citations
Cites
Judgment under Uncertainty: Heuristics and Biases
Tversky, A., & Kahneman, D. (1975) · Utility, Probability, and Human Decision Making · doi:10.1007/978-94-010-1834-0_8 · Cited by 22,650
Stratospheric sink for chlorofluoromethanes: chlorine atom-catalysed destruction of ozone
Molina, M. J., & Rowland, F. S. (1974) · Nature · doi:10.1038/249810a0 · Cited by 4,332
Bathtub dynamics: initial results of a systems thinking inventory
Sweeney, L. B., & Sterman, J. D. (2000) · System Dynamics Review · doi:10.1002/sdr.198 · Cited by 763
Self-citationWhy Ordinary People Torture Enemy Prisoners
Fiske, S. T., Harris, L. T., & Cuddy, A. J. C. (2004) · Science · doi:10.1126/science.1103788 · Cited by 179
Cited by
Systems Science Methods in Public Health: Dynamics, Networks, and Agents
Luke, D. A., & Stamatakis, K. A. (2012) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-031210-101222 · Cited by 710
Understanding pathways for scaling up health services through the lens of complex adaptive systems
Paina, L., & Peters, D. H. (2012) · Health Policy and Planning · doi:10.1093/heapol/czr054 · Cited by 534
A design thinking framework for healthcare management and innovation
Roberts, J. P., Fisher, T. R., Trowbridge, M. J., & Bent, C. (2016) · Healthcare · doi:10.1016/j.hjdsi.2015.12.002 · Cited by 518
Systems thinking, knowledge and action: towards better models and methods
Best, A., & Holmes, B. (2010) · Evidence & Policy · doi:10.1332/174426410x502284 · Cited by 444
Auchincloss, A. H., & Diez Roux, A. V. (2008) · American Journal of Epidemiology · doi:10.1093/aje/kwn118 · Cited by 334
Metadata
- Authors
- Sterman, J. D.
- Venue
- American Journal of Public Health
- Publisher
- American Public Health Association
- Published
- 2006-03
- Volume
- 96
- Issue
- 3
- Pages
- 505-514
- ISSN
- 0090-0036 (ISSN-L)
- 1541-0048
- OpenAlex
- W2157800154
- Cited by
- 978
- References
- 4
- FWCI
- 28.30
- Type
- journal article
- Language
- en
- Open access
- green
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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.
