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Multicenter Study Protocol: Research on Evaluation and Detection of Surgical Wound Complications with AI-based Recognition. (REDSCAR-trial)

U

Universitat de les Illes Balears

Status and phase

Enrolling
Phase 3
Phase 2

Conditions

Surgical Wound Infection

Treatments

Device: RedScar App

Study type

Interventional

Funder types

Other

Identifiers

NCT06771726
IB 5087/22 PI
PID2020-113870GB-I00 (Other Grant/Funding Number)

Details and patient eligibility

About

The increasing use of telemedicine in surgical care has demonstrated significant poten-tial for improving patient outcomes and optimizing healthcare resources. This study investigates the efficacy of the RedScar© app in telematic detection and monitoring of surgical site infections (SSIs), a major cause of healthcare-associated infections (HAIs) with significant economic and health impacts. RedScar© leverages a patient's smartphone to provide automated infection risk assessments without requiring clini-cian input, offering a potential solution for remote postoperative care. In a pilot study, RedScar© demonstrated 100% sensitivity and 83.13% specificity in detecting SSIs, with high patient satisfaction regarding its comfort, cost-effectiveness, and ability to reduce absenteeism. This multicenter prospective study aims to validate these findings, com-paring app-based detection with in-person evaluations. Primary objectives include as-sessing the sensitivity and specificity of RedScar© using receiver operating character-istic (ROC) analysis, while secondary objectives include evaluating patient satisfaction and standardizing telematic follow-up across centers. The study will include 168 pa-tients undergoing abdominal surgery, with follow-up assessments conducted remotely via the app and in-person at specified intervals. Data will be analysed using descrip-tive and statistical methods to assess diagnostic accuracy and patient satisfaction. This research seeks to further develop RedScar© as a reliable, scalable tool for enhancing postoperative care, reducing healthcare costs, and improving patient experiences in surgical recovery.

Enrollment

168 estimated patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Participants must have signed an informed consent.
  • Participants must be over 18 years of age.
  • Participants must have undergone either urgent or scheduled surgery performed via laparotomy or laparoscopy.
  • Participants need access to a smartphone capable of downloading the app with android OS.
  • Either the participant or a close family member must be able to operate the app effectively.
  • Participants must be able to attend follow-up consultations at the surgical outpatient clinic after discharge, one week post-surgery, or earlier if the app flags a potential infection.

Exclusion criteria

  • Patients who lack access to a smartphone or are unable to properly use the app.
  • Patients unfamiliar with mobile devices or unable to comprehend the app's functionality or questions.
  • Patients who did not provide informed consent.
  • Patients who are unable to comply with the follow-up requirements.

Trial design

Primary purpose

Diagnostic

Allocation

Non-Randomized

Interventional model

Parallel Assignment

Masking

Double Blind

168 participants in 2 patient groups

Redscar app
Experimental group
Description:
Telematic follow-up with App
Treatment:
Device: RedScar App
In-Person
No Intervention group
Description:
In-person visit to the clinics

Trial contacts and locations

5

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Central trial contact

Andrea Craus-Miguel, MD, cPhD; Juan José Segura-Sampedro, MD, PhD

Data sourced from clinicaltrials.gov

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