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Patient Self-Assessment of Surgical Site Infection is Inaccurate

Overview
Journal World J Surg
Publisher Wiley
Specialty General Surgery
Date 2017 Mar 9
PMID 28271262
Citations 4
Authors
Affiliations
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Abstract

Background: Availability of surgical site infection (SSI) surveillance rates challenges clinicians, healthcare administrators and leaders and the public. The purpose of this report is to demonstrate the consequences patient self-assessment strategies have on SSI reporting rates.

Methods: We performed SSI surveillance among patients undergoing general surgery procedures, including telephone follow-up 30 days after surgery. Additionally we undertook a separate validation study in which we compared patient self-assessments of SSI with surgeon assessment. Finally, we performed a meta-analysis of similar validation studies of patient self-assessment strategies.

Results: There were 22/266 in-hospital SSIs diagnosed (8.3%), and additional 16 cases were detected through the 30-day follow-up. In total, the SSI rate was 16.8% (95% CI 10.1-18.5). In the validation survey, we found patient telephone surveillance to have a sensitivity of 66% (95% CI 40-93%) and a specificity of 90% (95% CI 86-94%). The meta-analysis included five additional studies. The overall sensitivity was 83.3% (95% CI 79-88%), and the overall specificity was 97.4% (95% CI 97-98%). Simulation of the meta-analysis results divulged that when the true infection rate is 1%, reported rates would be 4%; a true rate of 50%, the reported rates would be 43%.

Conclusion: Patient self-assessment strategies in order to fulfill 30-day SSI surveillance misestimate SSI rates and lead to an erroneous overall appreciation of inter-institutional variation. Self-assessment strategies overestimate SSIs rate of institutions with high-quality performance and underestimate rates of poor performance. We propose such strategies be abandoned. Alternative strategies of patient follow-up strategies should be evaluated in order to provide valid and reliable information regarding institutional performance in preventing patient harm.

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

Lathan R, Sidapra M, Yiasemidou M, Long J, Totty J, Smith G NPJ Digit Med. 2022; 5(1):108.

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Do Patients Accurately Represent Their Experiences After Hip and Knee Replacements?.

Ashdown T, Park C, Begum F, Panagiotidou A, Sugand K, El-Tawil S Cureus. 2021; 13(1):e12745.

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Self-Diagnosis of Surgical Site Infections: Lessons from a tertiary care centre in Karachi, Pakistan.

Sajun S, Albutt K, Moosajee U, Drevin G, Mukhopadhyay S, Samad L Pak J Med Sci. 2020; 36(1):S55-S60.

PMID: 31933608 PMC: 6943118. DOI: 10.12669/pjms.36.ICON-Suppl.1716.

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