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Post-Caesarean Section Surgical Site Infection Surveillance Using an Online Database and Mobile Phone Technology.

Eliana Castillo¹, Corrine McIsaac², Bhreagh MacDougall³

¹Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB; Department of Obstetrics and Gynaecology, Cumming School of Medicine, University of Calgary, Calgary, AB.

Journal of Obstetrics and Gynaecology Canada : JOGC = Journal D'Obstetrique Et Gynecologie Du Canada : JOGC

|July 22, 2017

Summary

A new mobile app, how2trak, shows feasibility for patient-driven surveillance of surgical site infections (SSIs) after Cesarean section (CS). This system helps detect infections early, improving postpartum care and reducing healthcare costs associated with SSIs.

Keywords:

Caesarean section cell phone surgical wound infection

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Area of Science:

Obstetrics and Gynecology
Infectious Disease Surveillance
Digital Health Technology

Background:

Obstetric surgical site infections (SSIs) following Cesarean section (CS) are frequently underreported due to limitations in traditional post-discharge surveillance.
Effective monitoring is crucial for timely intervention and management of SSIs, which pose a significant burden on healthcare systems.

Purpose of the Study:

To assess the feasibility of a patient-driven, mobile technology-based surveillance system for detecting SSIs after CS.
To estimate the incidence of SSIs and identify associated predisposing factors in women undergoing CS.

Main Methods:

A prospective cohort study involving 105 women undergoing CS at a Canadian urban hospital.
Utilized the how2trak mobile application for collecting patient demographics, comorbidities, procedure details, and self-reported infection symptoms.
Integrated patient-submitted incision photographs for objective assessment of infection signs on postpartum days 3, 7, 10, and 30.

Main Results:

One surgical site infection was detected by postpartum day 10 using the app, confirmed by photo evidence and patient-reported symptoms.
45% of patients submitted photos, with many submitting multiple images up to 30 days postpartum.
Factors such as diabetes diagnosis and Asian ethnicity were associated with lower photo submission rates.

Conclusions:

The how2trak mobile application is a feasible tool for post-discharge surveillance of CS-related SSIs.
This patient-driven approach shows promise for improving SSI detection and warrants further investigation in clinical practice.