Surgical site infection (SSI) is the second cause of healthcare-associated infections (HAIs). Its appearance increase mobidity and post-operatice hospital stays, increasing costs aswell, although its one of the most preventable HAI. The diagnosis and detection of SSI is usually carried out late by non-especialists once the patient has consulted to the emergency services or primary care with an already obvious infections. This raise both the direct and indirect costs and saturaties the emergency department and primary care, while delays treatment and increase disconfort and morbidity. A smart phone aplication (RedScar© ) was developped in order to detect and monitor wound infection remotely based on an automated algorithm with no medical intervention.This app allows the patient to upload a photography and answer a short questionary, the aplication will then give a diagnosis of possible infection and recommendations. This study is the first one to use a smartphone-based automatic aplication on real patients to diagnosis wound infection . This is a prospective, single-institution not randomized quasy-experimental study protocol. The study design and protocol were reviewed and approved by Research Ethics Committee of the Balearic Islands (CEI-IB). This paper is part of the R+D+i Project PID2020-113870GB-I00- "Desarrollo de herramientas de Soft Computing para la Ayuda al Diagnóstico Clínico y a la Gestión de Emergencias (HESOCODICE)", funded by MCIN/AEI/10.13039/501100011033/.
Study Type
OBSERVATIONAL
Enrollment
30
Patients will be discharged after surgery at the time it is considered by the responsible physician. Prior to discharge, patients taking part in the study will follow the same protocol as any other patient treated in our institution. Written consent will be signed after complete explanation of the study protocol by the researcher at this moment. The patient will download the RedScar© application and the researcher will explain how it works and how to answer all the questions about the wound (redness, pain). At day 3th and 10th after surgery, each patient will upload an image of the surgical wound via RedScar© aplication using their own smartphone device. RedScar© aplication will evaluate the risk of complications of the surgical wound and will assign patients to 2 different groups: potential complications requiring new consultation or satisfactory evolution and discharge.
University Hospital Son Espases
Palma de Mallorca, Spain
Sensitivity and specificity of RedScar© application to detect surgical infection compared to the face-to-face review.
Receiver operating characteristic (ROC) curve analysis will be used to identify the optimal cut-off value of Red Proportion in surgical infection screening with maximum sensitivity and specificity.
Time frame: 1 month
Number of participants with related adverse events as assessed by CTCAE v4.0
Time frame: 1 month
Evaluate the satisfaction of the patients with the telematic care with the RedScar© app.
e satisfaction of the patients with the telematic care with the RedScar© app through the Telemedicine Satisfaction Questionnaire developed and validated by Yip MP et al. and on similar studies
Time frame: 1 month
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