Surgical Wound InfectionNCT05485233
Redscar © Application for Detection of Infected Surgical Wounds
An observational study of Surgical Wound Infection and Surgical Wound, run by Hospital Son Espases at 1 site in Spain.
Trial 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. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Surgical Wound Infection, Surgical Wound, Surgical Site Infection
- What is being tested?
- REDSCAR App
- Type of treatment
- Medical device
- How many people
- 30 participants
- Where
- 1 siteSpain
- Study dates
- 1 May 2020to 1 Jan 2023
- How long will I take part?
- 1 Month
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: A total of 30 emergency and scheduled surgery inpatients who are adults (over age 18 or with an authorization from mother/father/guardian) and have undergone abdominal laparotomy closed with staples will be screened for eligibility. Potentially eligible patients will be selected and documented as included, missed, rejected or excluded. Written consent will be obtained by the research team.
Who may be able to join
- 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.
Who cannot join
None listed.
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Evaluation of Redscar © Application for Detection and Monitoring Potentially Infected Surgical Wounds: a Quasy-experimental Study Protocol
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.
Read more
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/.
- Being tested
- REDSCAR App
- Keywords
- Surgical wound infection, Telematic follow-up, i-health
- Medical subject headings
- Surgical Wound Infection, Surgical Wound
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
REDSCAR AppDevice
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.
| Study group | Role | What they receive |
|---|---|---|
| Presencial | At day 3th and 10th after surgery, each patient will undergo face-to-face examination of their surgical wound by a physician or a nurse, who will confirme the presence or absence of complications and they will fill in the questionnarie to compare the reponses with the aplication | |
| Telematic | 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. Receives: Device: REDSCAR App |
What is being measured
The primary outcome is the main question the study is designed to answer.
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.
Measured: 1 month
Number of participants with related adverse events as assessed by CTCAE v4.0
Measured: 1 month
Secondary outcomes (1)
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
Measured: 1 month
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted3 Aug 2022
- Study start1 May 2020
- Primary completion1 Sep 2021
- Study completion1 Jan 2023 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (6)Papers the sponsor has linked to this study.
- Other trials for Surgical Wound InfectionStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Other
- Time perspective
- Prospective
- Enrolment
- 30 participants (estimated)
- Target duration
- 1 Month
Sponsor and investigators
- Lead sponsor
- Hospital Son Espases
- Sponsor type
- University, hospital or other
- Collaborators
- University of the Balearic Islands, Fundació d'investigació Sanitària de les Illes Balears
- Responsible party
- Principal investigator, Juan José Segura, Hospital Son Espases
- Investigators
- Juan José Segura-Sampedro, Principal investigator, Son Espases University Hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05485233
- Sponsor's protocol ID
- IB4100/20 PI
- Status last verified
- Jul 2022
- First submitted
- 1 Jul 2022
- Last updated
- 3 Aug 2022
- Results posted
- No
- Data monitoring committee
- No
- Individual data sharing
- Undecided
Publications
Global Guidelines for the Prevention of Surgical Site Infection. Geneva: World Health Organization; 2018. Available from http://www.ncbi.nlm.nih.gov/books/NBK536404/
PubMed 30689333González-Hidalgo M, Moyà-Alcover G, Munar M, Bibiloni P, Craus-Miguel A, González-Argenté X, et al. Detection and Automatic Deletion of Staples in Images of Wound of Abdominal Surgery for m-Health Applications. In: Lecture Notes in Computational Vision and Biomechanics. 2019. p. 219-29. Available from: http://link.springer.com/10.1007/978-3-030-32040-9_23
Healthcare-associated infections: surgical site infections - Annual Epidemiological Report for 2017 [Internet]. [cited 2022 Feb 27]. Available from: https://www.ecdc.europa.eu/en/publications-data/healthcare-associated-infections-surgical-site-infections-annual-1
Yip MP, Chang AM, Chan J, MacKenzie AE. Development of the Telemedicine Satisfaction Questionnaire to evaluate patient satisfaction with telemedicine: a preliminary study. J Telemed Telecare. 2003;9(1):46-50. doi: 10.1258/135763303321159693.
PubMed 12641893Segura-Sampedro JJ, Rivero-Belenchon I, Pino-Diaz V, Rodriguez Sanchez MC, Pareja-Ciuro F, Padillo-Ruiz J, Jimenez-Rodriguez RM. Feasibility and safety of surgical wound remote follow-up by smart phone in appendectomy: A pilot study. Ann Med Surg (Lond). 2017 Jul 18;21:58-62. doi: 10.1016/j.amsu.2017.07.040. eCollection 2017 Sep.
PubMed 28794868Craus-Miguel A, Munar M, Moya-Alcover G, Contreras-Nogales AM, Gonzalez-Hidalgo M, Segura-Sampedro JJ. Enhancing Surgical Wound Monitoring: A Paired Cohort Study Evaluating a New AI-Based Application for Automatic Detection of Potential Infections. J Clin Med. 2024 Dec 23;13(24):7863. doi: 10.3390/jcm13247863.
PubMed 39768786
Study at a glance
From the registry record, last updated by the sponsor on 3 Aug 2022. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Evaluation of Redscar © Application for Detection and Monitoring Potentially Infected Surgical Wounds: a Quasy-experimental Study Protocol
- ClinicalTrials.gov ID
- NCT05485233
- Acronym / sponsor ID
- IB4100/20 PI
- Keywords
- Surgical wound infection, Telematic follow-up, i-health
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 30 participants (estimated)
- Lead sponsor
- Hospital Son EspasesUniversity, hospital or other
- Collaborators
- University of the Balearic Islands, Fundació d'investigació Sanitària de les Illes Balears
- Study start
- 1 May 2020 (actual)
- Primary completion
- 1 Sep 2021 (actual)
- Study completion
- 1 Jan 2023 (estimated)
- First posted
- 3 Aug 2022 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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 design
- Observational model
- Other
- Time perspective
- Prospective
- Target follow-up
- 1 Month
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Presencial | – | –At day 3th and 10th after surgery, each patient will undergo face-to-face examination of their surgical wound by a physician or a nurse, who will confirme the presence or absence of complications and they will fill in the questionnarie to compare the reponses with the aplication |
| Telematic | – | Device: REDSCAR AppAt 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. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- A total of 30 emergency and scheduled surgery inpatients who are adults (over age 18 or with an authorization from mother/father/guardian) and have undergone abdominal laparotomy closed with staples will be screened for eligibility. Potentially eligible patients will be selected and documented as included, missed, rejected or excluded. Written consent will be obtained by the research team.
Key inclusion criteria (8 listed)
- 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
Key exclusion criteria (0 listed)
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| REDSCAR AppPatients 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. | Device | Telematic |
Primary outcome
Sensitivity and specificity of RedScar© application to detect surgical infection compared to the face-to-face review.
Time frame: 1 month
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.
Number of participants with related adverse events as assessed by CTCAE v4.0
Time frame: 1 month
1 secondary outcome
Evaluate the satisfaction of the patients with the telematic care with the RedScar© app.
Time frame: 1 month
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 3 Aug 2022.
- Results publication: PubMed 30689333Global Guidelines for the Prevention of Surgical Site Infection. Geneva: World Health Organization; 2018. Available from http://www.ncbi.nlm.nih.gov/books/NBK536404/
- Results publicationGonzález-Hidalgo M, Moyà-Alcover G, Munar M, Bibiloni P, Craus-Miguel A, González-Argenté X, et al. Detection and Automatic Deletion of Staples in Images of Wound of Abdominal Surgery for m-Health Applications. In: Lecture Notes in Computational Vision and Biomechanics. 2019. p. 219-29. Available from: http://link.springer.com/10.1007/978-3-030-32040-9_23
- Results publicationHealthcare-associated infections: surgical site infections - Annual Epidemiological Report for 2017 [Internet]. [cited 2022 Feb 27]. Available from: https://www.ecdc.europa.eu/en/publications-data/healthcare-associated-infections-surgical-site-infections-annual-1
- Results publication: PubMed 12641893Yip MP, Chang AM, Chan J, MacKenzie AE. Development of the Telemedicine Satisfaction Questionnaire to evaluate patient satisfaction with telemedicine: a preliminary study. J Telemed Telecare. 2003;9(1):46-50. doi: 10.1258/135763303321159693.
- Results publication: PubMed 28794868Segura-Sampedro JJ, Rivero-Belenchon I, Pino-Diaz V, Rodriguez Sanchez MC, Pareja-Ciuro F, Padillo-Ruiz J, Jimenez-Rodriguez RM. Feasibility and safety of surgical wound remote follow-up by smart phone in appendectomy: A pilot study. Ann Med Surg (Lond). 2017 Jul 18;21:58-62. doi: 10.1016/j.amsu.2017.07.040. eCollection 2017 Sep.
- Derived from this study: PubMed 39768786Craus-Miguel A, Munar M, Moya-Alcover G, Contreras-Nogales AM, Gonzalez-Hidalgo M, Segura-Sampedro JJ. Enhancing Surgical Wound Monitoring: A Paired Cohort Study Evaluating a New AI-Based Application for Automatic Detection of Potential Infections. J Clin Med. 2024 Dec 23;13(24):7863. doi: 10.3390/jcm13247863.
- Healthcare-associated infections: surgical site infections - Annual Epidemiological Report for 2017Link provided by the sponsor.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Juan José Segura-Sampedro principal investigator
Son Espases University Hospital
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Surgical Wound Infection and Surgical Wound, run by Hospital Son Espases at 1 site in Spain.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 8 inclusion and 0 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 3 Aug 2022. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Spain. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Sensitivity and specificity of RedScar© application to detect surgical infection compared to the face-to-face review. (time frame: 1 month). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT05485233, which also lists 6 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 3 Aug 2022.