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Diagnostic accuracy of telemedicine for detection of surgical site infection: a systematic review and meta-analysis.

Authors :
Lathan, Ross
Sidapra, Misha
Yiasemidou, Marina
Long, Judith
Totty, Joshua
Smith, George
Chetter, Ian
Source :
NPJ Digital Medicine; 8/3/2022, Vol. 5 Issue 1, p1-8, 8p
Publication Year :
2022

Abstract

The Sars-CoV-2 pandemic catalysed integration of telemedicine worldwide. This systematic review assesses it's accuracy for diagnosis of Surgical Site Infection (SSI). Databases were searched for telemedicine and wound infection studies. All types of studies were included, only paired designs were taken to meta-analysis. QUADAS-2 assessed methodological quality. 1400 titles and abstracts were screened, 61 full text reports were assessed for eligibility and 17 studies were included in meta-analysis, mean age was 47.1 ± 13.3 years. Summary sensitivity and specificity was 87.8% (95% CI, 68.4–96.1) and 96.8% (95% CI 93.5–98.4) respectively. The overall SSI rate was 5.6%. Photograph methods had lower sensitivity and specificity at 63.9% (95% CI 30.4–87.8) and 92.6% (95% CI, 89.9–94.5). Telemedicine is highly specific for SSI diagnosis is highly specific, giving rise to great potential for utilisation excluding SSI. Further work is needed to investigate feasibility telemedicine in the elderly population group. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23986352
Volume :
5
Issue :
1
Database :
Complementary Index
Journal :
NPJ Digital Medicine
Publication Type :
Academic Journal
Accession number :
158336323
Full Text :
https://doi.org/10.1038/s41746-022-00655-0