Volume 47, Issue 5 1 pp. 1092-1113
Scientific Review

Perioperative Risk Assessment in Humanitarian Settings: A Scoping Review

Hannah Wild

Corresponding Author

Hannah Wild

Department of Surgery, University of Washington, 1959 NE Pacific St., 98195 Seattle, WA, USA

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Barclay T. Stewart

Barclay T. Stewart

Department of Surgery, University of Washington, 1959 NE Pacific St., 98195 Seattle, WA, USA

Global Injury Control Section, Harborview Injury Prevention and Research Center, Seattle, WA, USA

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Christopher LeBoa

Christopher LeBoa

Department of Environmental Health Sciences, University of California Berkeley, Berkeley, CA, USA

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Teresa Jewell

Teresa Jewell

Health Science Library, University of Washington, Seattle, WA, USA

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Kajal Mehta

Kajal Mehta

Department of Surgery, University of Washington, 1959 NE Pacific St., 98195 Seattle, WA, USA

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Sherry M. Wren

Sherry M. Wren

Stanford University School of Medicine, Stanford, CA, USA

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First published: 11 January 2023
Citations: 2

Supplementary Information: The online version contains supplementary material available at https://doi.org/10.1007/s00268-023-06893-x.

Copyright comment: Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Abstract

Background

No validated perioperative risk assessment models currently exist for use in humanitarian settings. To inform the development of a perioperative mortality risk assessment model applicable to humanitarian settings, we conducted a scoping review of the literature to identify reports that described perioperative risk assessment in surgical care in humanitarian settings and LMICs.

Methods

We conducted a scoping review of the literature to identify records that described perioperative risk assessment in low-resource or humanitarian settings. Searches were conducted in databases including: PubMed, Embase, Cumulative Index to Nursing and Allied Health Literature, Web of Science, World Health Organization Catalog, and Google Scholar.

Results

Our search identified 1582 records. After title/abstract and full text screening, 50 reports remained eligible for analysis in quantitative and qualitative synthesis. These reports presented data from over 37 countries from public, NGO, and military facilities. Data reporting was highly inconsistent: fewer than half of reports presented the indication for surgery; less than 25% of reports presented data on injury severity or prehospital data. Most elements of perioperative risk models designed for high-resource settings (e.g., vital signs, laboratory data, and medical comorbidities) were unavailable.

Conclusion

At present, no perioperative mortality risk assessment model exists for use in humanitarian settings. Limitations in consistency and quality of data reporting are a primary barrier, however, can be addressed through data-driven identification of several key variables encompassed by a minimum dataset. The development of such a score is a critical step toward improving the quality of care provided to populations affected by conflict and protracted humanitarian crises.

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