Validation of a semiautomated system for surveillance of surgical site infection after cesarean section.
Infect Control Hosp Epidemiol
; 43(10): 1505-1507, 2022 10.
Article
in En
| MEDLINE
| ID: mdl-34180384
ABSTRACT
Surveillance of surgical site infection after cesarean section is challenging due to the high volume of these surgeries. A manual chart review of women undergoing cesarean section between January and June 2017 (675 charts, 40 infections) was compared to charts identified via an algorithm (141 charts, 39 infections). The algorithm achieved 97.5% sensitivity and 83.9% specificity and reduced the workload of infection control personnel.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Surgical Wound Infection
/
Cesarean Section
Type of study:
Diagnostic_studies
/
Prognostic_studies
/
Screening_studies
Limits:
Female
/
Humans
/
Pregnancy
Language:
En
Journal:
Infect Control Hosp Epidemiol
Journal subject:
DOENCAS TRANSMISSIVEIS
/
ENFERMAGEM
/
EPIDEMIOLOGIA
/
HOSPITAIS
Year:
2022
Document type:
Article
Affiliation country: