Literature DB >> 26706153

Postdischarge surveillance for infection following cesarean section: A prospective cohort study comparing methodologies.

Muhammad A Halwani1, Alison E Turnbull2, Meredith Harris3, Frank Witter4, Trish M Perl5.   

Abstract

OBJECTIVE: To assess how enhanced postdischarge telephone follow-up calls would improve case finding for surgical site infection (SSI) surveillance after cesarean section.
METHODS: We conducted a prospective cohort study of all patients who delivered by cesarean section between April 22 and August 22, 2010. In addition to our routine surveillance, using clinical databases and electronic patient records, we also made follow-up calls to the patients at 7, 14, and 30 days postoperation. A standard questionnaire with questions about symptoms of SSI, health-seeking behaviors, and treatment received was administered. Descriptive statistics and univariate analysis were performed to assess the effect of the enhanced surveillance.
RESULTS: One hundred ninety-three patients underwent cesarean section during this study period. Standard surveillance identified 14 infections with telephone follow-ups identifying an additional 5 infections. Using the call as a gold standard, the sensitivity of the standard methodology to capture SSI was 73.3%. The duration of the calls ranged from 1 to 5 minutes and were well received by the patients.
CONCLUSIONS: Results suggest that follow-up telephone calls to patients following cesarean section identifies 26.3% of the total SSIs. Enhanced surveillance can provide more informed data to enhance performance and avoid underestimation of rates.
Copyright © 2016 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cesarean section infection; Post-discharge surveillance; Surgical site infections

Mesh:

Year:  2015        PMID: 26706153     DOI: 10.1016/j.ajic.2015.10.023

Source DB:  PubMed          Journal:  Am J Infect Control        ISSN: 0196-6553            Impact factor:   2.918


  6 in total

1.  Diagnosing Post-Cesarean Surgical Site Infections in Rural Rwanda: Development, Validation, and Field Testing of a Screening Algorithm for Use by Community Health Workers.

Authors:  Teena Cherian; Bethany Hedt-Gauthier; Theoneste Nkurunziza; Kristin Sonderman; Magdalena Anna Gruendl; Edison Nihiwacu; Bahati Ramadhan; Erick Gaju; Evrard Nahimana; Caste Habiyakare; Georges Ntakiyiruta; Alexi Matousek; Robert Riviello; Fredrick Kateera
Journal:  Surg Infect (Larchmt)       Date:  2020-05-18       Impact factor: 2.150

2.  Risk factors for surgical site infection after cesarean delivery in a rural area in China: A case-controlled study.

Authors:  Xiaobo He; Dongmei Li; Tingting Sun; Qiaona Dai; Min Hu; Zhiyong Zhu; Xia Sun; Junjun Zhou
Journal:  Ann Med Surg (Lond)       Date:  2021-11-25

3.  Surgical site infections following caesarean operations at a Jordanian teaching hospital: Frequency and implicated factors.

Authors:  Mariam Hantash Abdel Jalil; Khawla Abu Hammour; Mervat Alsous; Wedad Awad; Rand Hadadden; Faris Bakri; Kamil Fram
Journal:  Sci Rep       Date:  2017-09-22       Impact factor: 4.379

4.  Reliability and validity of using telephone calls for post-discharge surveillance of surgical site infection following caesarean section at a tertiary hospital in Tanzania.

Authors:  Boniface Nguhuni; Pasquale De Nardo; Elisa Gentilotti; Zainab Chaula; Caroline Damian; Paola Mencarini; Emanuele Nicastri; Arnold Fulment; Alessandro Piscini; Francesco Vairo; Alexander M Aiken; Giuseppe Ippolito
Journal:  Antimicrob Resist Infect Control       Date:  2017-05-08       Impact factor: 4.887

5.  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

6.  Postnatal infection surveillance by telephone in Dar es Salaam, Tanzania: An observational cohort study.

Authors:  Susannah L Woodd; Abdunoor M Kabanywanyi; Andrea M Rehman; Oona M R Campbell; Asila Kagambo; Warda Martiasi; Louise M TinaDay; Alexander M Aiken; Wendy J Graham
Journal:  PLoS One       Date:  2021-07-01       Impact factor: 3.240

  6 in total

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