Diagnostic Accuracy of Telemedicine for Detection of Surgical Site Infection: a Systematic Review and Meta-analysis

Overview

Journal NPJ Digit Med

Specialty Medical Informatics

Date 2022 Aug 3

PMID 35922663

Authors

Ross Lathan

Misha Sidapra

Marina Yiasemidou

Judith Long

Joshua Totty

George Smith

Ian Chetter

Affiliations

Soon will be listed here.

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.

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