Literature DB >> 28271262

Patient Self-Assessment of Surgical Site Infection is Inaccurate.

Vered Richter1, Matan J Cohen2,3, Shmuel Benenson4, Gideon Almogy5, Mayer Brezis1.   

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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Year:  2017        PMID: 28271262     DOI: 10.1007/s00268-017-3974-y

Source DB:  PubMed          Journal:  World J Surg        ISSN: 0364-2313            Impact factor:   3.352


  23 in total

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Journal:  Ann Intern Med       Date:  2013-11-05       Impact factor: 25.391

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  2 in total

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

Authors:  Sana Z Sajun; Katherine Albutt; Umme Salama Moosajee; Gustaf Drevin; Swagoto Mukhopadhyay; Lubna Samad
Journal:  Pak J Med Sci       Date:  2020-01       Impact factor: 1.088

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

Authors:  Ross Lathan; Misha Sidapra; Marina Yiasemidou; Judith Long; Joshua Totty; George Smith; Ian Chetter
Journal:  NPJ Digit Med       Date:  2022-08-03
  2 in total

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