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Cited by 1,123

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Human Wounds and Its Burden: An Updated Compendium of Estimates

Open access
Sen, Chandan K.·2019·Advances in Wound Care
DOI 10.1089/wound.2019.0946
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Abstract

Significance: A 2018 retrospective analysis of Medicare beneficiaries identified that ∼8.2 million people had wounds with or without infections. Medicare cost estimates for acute and chronic wound treatments ranged from $28.1 billion to $96.8 billion. Highest expenses were for surgical wounds followed by diabetic foot ulcers, with a higher trend toward costs associated with outpatient wound care compared with inpatient. Increasing costs of health care, an aging population, recognition of difficult-to-treat infection threats such as biofilms, and the continued threat of diabetes and obesity worldwide make chronic wounds a substantial clinical, social, and economic challenge. Recent Advances: Chronic wounds are not a problem in an otherwise healthy population. Underlying conditions ranging from malnutrition, to stress, to metabolic syndrome, predispose patients to chronic, nonhealing wounds. From an economic point of view, the annual wound care products market is expected to reach $15–22 billion by 2024. The National Institutes of Health's (NIH) Research Portfolio Online Reporting Tool (RePORT) now lists wounds as a category. Future Directions: A continued rise in the economic, clinical, and social impact of wounds warrants a more structured approach and proportionate investment in wound care, education, and related research.

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Metadata

Authors
Sen, C. K.
Venue
Advances in Wound Care
Publisher
SAGE Publications
Published
2019-02
Volume
8
Issue
2
Pages
39-48
ISSN
  • 2162-1918 (ISSN-L)
  • 2162-1934
DOI
10.1089/wound.2019.0946
OpenAlex
W2914065803
Cited by
1,123
References
9
Type
journal article
Language
en
Open access
hybrid

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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.