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Redscar © Application for Detection of Infected Surgical Wounds

Evaluation of Redscar © Application for Detection and Monitoring Potentially Infected Surgical Wounds: a Quasy-experimental Study Protocol

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05485233
Enrollment
30
Registered
2022-08-03
Start date
2020-05-01
Completion date
2023-01-01
Last updated
2022-08-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Surgical Site Infection, Surgical Wound, Surgical Wound Infection

Keywords

Surgical wound infection, Telematic follow-up, i-health

Brief summary

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/.

Interventions

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.

Sponsors

University of the Balearic Islands
CollaboratorOTHER
Fundació d'investigació Sanitària de les Illes Balears
CollaboratorOTHER_GOV
Hospital Son Espases
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Signature of written consent. * Age over 18 years. * Emergency and scheduled surgery inpatients who have undergone abdominal surgery using staples to close the wound. * Access to an android-based smartphone device, able to download the app and understand its management. * Possibility of in person revision on the tenth postoperative day.

Exclusion criteria

* Patients who do not have access to a compatible Smartphone or who are not able to use the app correctly (not being familiar with mobile devices or inability to understand how the app works or the questions asked). * No written consent. * Impossibility of personal revision.

Design outcomes

Primary

MeasureTime frameDescription
Sensitivity and specificity of RedScar© application to detect surgical infection compared to the face-to-face review.1 monthReceiver 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.
Number of participants with related adverse events as assessed by CTCAE v4.01 month

Secondary

MeasureTime frameDescription
Evaluate the satisfaction of the patients with the telematic care with the RedScar© app.1 monthe 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

Countries

Spain

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 5, 2026