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Cited by 616

The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.

The economics of patient safety: Strengthening a value-based approach to reducing patient harm at national level

·2017·OECD Health Working Papers

Abstract

About one in ten patients are harmed during health care. This paper estimates the health, financial and economic costs of this harm. Results indicate that patient harm exerts a considerable global health burden. The financial cost on health systems is also considerable and if the flow-on economic consequences such as lost productivity and income are included the costs of harm run into trillions of dollars annually. Because many of the incidents that cause harm can be prevented, these failures represent a considerable waste of healthcare resources, and the cost of failure dwarfs the investment required to implement effective prevention. The paper then examines how patient harm can be minimised effectively and efficiently. This is informed by a snapshot survey of a panel of eminent academic and policy experts in patient safety. System- and organisational-level initiatives were seen as vital to provide a foundation for the more local interventions targeting specific types of harm. The overarching requirement was a culture conducive to safety.

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Crossref · 10.1787/5a9858cd-en

Cites

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Citations

Cites

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Metadata

Venue
OECD Health Working Papers
Published
2017-06-26
ISSN
1815-2015 (ISSN-L)
OpenAlex
W2628809898
Cited by
616
References
51
Type
report
Language
en
Open access
closed

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CoChat. (2026). Citation check: The economics of patient safety: Strengthening a value-based approach to reducing patient harm at national level. https://app.cochat.ai/papers/10.1787/5a9858cd-en
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The economics of patient safety: Strengthening a value-based approach to reducing patient harm at national level. (2017). OECD Health Working Papers. https://doi.org/10.1787/5a9858cd-en

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.