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An evaluation study of direct economic losses from surgical site infections in adults

Structural equation modeling

Bibliographic Data

ID22083500
AuthorsQiuxia Zuo (Xinjiang Medical University), Di Liu (0000-0002-6015-1965, Xinjiang Medical University), Baoji Dong (Xinjiang Medical University), Yuan Zhou (0000-0002-6703-0832, People's Hospital of Xinjiang Uygur Autonomous Region), Kexin Zhao (0009-0000-2243-967X, Xinjiang Medical University), Ping Tian (0000-0001-5034-9145, Xinjiang Medical University, corresponding author)
Year2025
Volume12
Pages1514444-1514444
Publication date2025-01-13
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2024.1514444
PMID39872103
OpenAlexW4406338096
LanguageEN
Citations received1
References cited25

Introduction: Surgical site infection (SSI) represents a significant postoperative complication, resulting in extended hospital stays and substantial economic burdens. Previous research on the direct economic impact of SSIs using recursive systems modeling is limited. This study aims to quantify the direct economic losses attributable to SSIs and to dissect the various factors to these losses. Methods: A retrospective 1:1 matched case-control study was conducted from January 2023 to March 2024 in three tertiary hospitals in Xinjiang, China. Patients with SSIs were matched on a 1:1 basis by hospital, department, age (±5 years), sex, primary diagnosis, and procedure with controls to form case and control groups. Wilcoxon Signed Ranks Test was utilized to quantify the direct economic loss from SSIs. Influencing factors were analyzed using a recursive system model. Results: Among the 74,258 patients surveyed, 226 developed SSIs, resulting in an infection rate of 0.3%. The total direct economic loss from SSIs at three hospitals was $467,867, with an average loss of $1,364.37 per SSI patient. SSI patients experienced hospital stays 11 days longer than uninfected patients. Multivariate linear regression identified the duration of hospital stay, catheter and ventilator usage, age, number of surgeries, and duration of antibiotic treatment as influencing factors. Recursive system modeling revealed the indirect contributions of the number of surgeries (indirect effect: 0.074), antibiotic use for 17-36 days (indirect effect: 0.063) and ≥ 37 days (indirect effect: 0.045), and debridement procedures (indirect effect: 0.054), as well as the direct contributions of hospital days (direct effect: 0.276), indwelling catheter days (direct effect: 0.260), ventilator days (direct effect: 0.221), and age (direct effect: 0.182). Conclusion: Recursive system modeling helped identify the key factors influencing the economic losses from SSIs. These findings provide a theoretical basis for healthcare departments to develop targeted policies

Case-control study · Indirect costs · Mann–Whitney U test · Retrospective cohort study · Wilcoxon signed-rank test · Abdominal Surgery and Complications · Appendicitis Diagnosis and Management · Medicine · Surgical site infection prevention · Emergency Medicine · Internal Medicine · Surgery

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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