M. Rochon
Image-based digital post-discharge surveillance in England: measuring patient enrolment, engagement, clinician response times, surgical site infection, and carbon footprint
Rochon, M.; Jawarchan, A.; Fagan, F.; Otter, J.A.; Tanner, J.
Authors
A. Jawarchan
F. Fagan
J.A. Otter
Professor JUDITH TANNER Judith.Tanner@nottingham.ac.uk
PROFESSOR IN ADULT NURSING
Abstract
Background: Surgical site infections (SSIs) can have a significant impact on patients, their families and healthcare providers. With shortening inpatient periods, the post-discharge element of surveillance is becoming increasingly important. Proactive surveillance, including digital wound images using patient smartphones, may be an efficient alternative to traditional methods for collecting post-discharge surveillance (PDS). Aim: To determine success in patient enrolment and engagement including reasons for non-response, the time for clinicians to respond to patients, SSI rates, and carbon emissions when conducting PDS using patient smartphones. Methods: An evaluation was undertaken for a one-month period (June 2022) in two adult cardiac surgery services which routinely used patient smartphones for PDS, using the secure Islacare (Isla) system. Findings: The initial patient response rate for Isla was 87.3%, and the majority of patients (73%) remained engaged throughout the 30-day period. There was no significant difference in age, gender, operation type or distance to hospital between Isla responders or non-responders, or if the hospital provided a photo at discharge or not. Patients using Isla had a shorter post-discharge stay (P = 0.03), although this was not attributed to the platform. Patients not owning a smartphone and a technical issue were the main barriers to participation. Overall, nine SSIs were recorded, eight through the Isla surveillance and one through a hospital transfer readmission. The carbon emission associated with the SSI ranged from 5 to 2615 kg CO2e. Conclusion: In a real-world setting, using patient smartphones is an effective method to collect PDS, including wound images.
Citation
Rochon, M., Jawarchan, A., Fagan, F., Otter, J., & Tanner, J. (2023). Image-based digital post-discharge surveillance in England: measuring patient enrolment, engagement, clinician response times, surgical site infection, and carbon footprint. Journal of Hospital Infection, 133, 15-22. https://doi.org/10.1016/j.jhin.2023.01.001
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 5, 2023 |
Online Publication Date | Jan 13, 2023 |
Publication Date | Mar 1, 2023 |
Deposit Date | Feb 2, 2023 |
Publicly Available Date | Feb 3, 2023 |
Journal | Journal of Hospital Infection |
Print ISSN | 0195-6701 |
Electronic ISSN | 1532-2939 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 133 |
Pages | 15-22 |
DOI | https://doi.org/10.1016/j.jhin.2023.01.001 |
Keywords | Photograph, Smartphone, Surveillance, Surgical site infection, Carbon emissions |
Public URL | https://nottingham-repository.worktribe.com/output/16789946 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S0195670123000038 |
Files
Tanner J Image Based Digital Post-discharge Surveillance
(303 Kb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by-nc-nd/4.0/
You might also like
Pre-operative hair removal to reduce surgical site infection
(2021)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search