Evidence map›Paper›PMID 34136335›Full record

ArticleCurrent epidemiology reports2020

Systems thinking in the context of road safety: Can systems tools help us realize a true "Safe Systems" approach?

Rebecca B Naumann, Laura Sandt, Wesley Kumfer, Seth LaJeunesse, Stephen Heiny, Kristen Hassmiller Lich

Abstract read
In one paragraph

Article in Current epidemiology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rebecca B NaumannDepartment of Epidemiology and Injury Prevention Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Laura SandtHighway Safety Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Wesley KumferHighway Safety Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Seth LaJeunesseHighway Safety Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Stephen HeinyHighway Safety Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Kristen Hassmiller LichDepartment of Health Policy and Management, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Funding

NCIPC CDC HHS R49 CE002479
6 · The paper itself

Abstract

purpose of reviewRoad traffic injuries are one of the leading causes of death in the U.S. and globally. We introduce the Safe Systems approach as a promising paradigm for road safety practice and describe how systems thinking tools can help bridge the gap between the current status quo and a Safe Systems approach. RECENT

findingsSystems thinking tools can help us align with a Safe Systems approach by identifying latent risks in the transportation system, examining factors that coalesce to produce high travel speeds and kinetic energy transfer, and supporting safety prioritization through goal alignment. SUMMARY: The Safe Systems approach represents a significant change in the way we have historically designed transportation systems; it puts safety at the forefront and calls for designing a system that accounts for human fallibility. Operationalizing holistic Safe Systems concepts may be difficult, but systems thinking tools can help. Systems thinking tools provide a common language for individuals from diverse disciplines and sectors to express their unique understanding of the interconnected factors shaping road safety problems and support discussions about potential solutions that align with a Safe Systems approach.

Indexed as

causal loop diagraminjury preventionroad safetySafe Systemssystems thinkingtransportation

Identifiers

PMID34136335
PMCPMC8205420

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.