Perioperative Risk Assessment in Humanitarian Settings: A Scoping Review

• Published in: World journal of surgery Vol. 47; no. 5; pp. 1092 - 1113
• Main Authors: Wild, Hannah, Stewart, Barclay T., LeBoa, Christopher, Jewell, Teresa, Mehta, Kajal, Wren, Sherry M.
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.05.2023; Springer Nature B.V
• Subjects: Abdominal Surgery; Cardiac Surgery; Comorbidity; General Surgery; Humanitarianism; Humans; Literature reviews; Medicine; Medicine & Public Health; Military facilities; Mortality; Qualitative analysis; Research Design; Risk Assessment; Scientific Review; Search engines; Surgery; Thoracic Surgery; Vascular Surgery
• ISSN: 0364-2313; 1432-2323
• DOI: 10.1007/s00268-023-06893-x

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.