NCT03401658

Brief Summary

Infections that are caused by surgical incision are commonly known as surgical site infections (SSI). A surgical wound infection can develop at any time after surgery until the wound has healed (usually two to three weeks after the operation). Very occasionally, an infection can occur several months after an operation. About 5 in 100 patients develop SSI after hospital discharge. During the patient's stay in hospital, nurses routinely change their wound dressings to check for any signs of infection. However, since infections develop after patients leave hospital it is difficult for staff to monitor signs in patients' homes. In some hospitals, staff may contact patients in their homes to check on their wounds but most of the time it is not possible. The recent improvement in surgical operations means that more patients are discharged from hospital earlier than they would have been in the past even before their wounds are healed. Increasingly, patients develop SSI after leaving hospital particularly among the more vulnerable high risk groups. Signs of SSI may not always be recognised by the patient and delays in seeking care leads to serious infection-related complications. The investigators wish to fit a device onto the patients' personal mobile phone camera lens. This will allow patients to take pictures of their wound routinely at home submit images automatically to a computer at the hospital for analysis. Staff at the hospital will alert the patient if the results strongly that indicate signs of infection and an appropriate treatment plan put into place for you. This type of technology has never been used in this application before so, the investigators plan in this study to find out whether it can accurately detect early signs of wound infections and whether it is easy to use, acceptable to the patient and their health care professionals. A total of 40 patients will be invited to take part in the study over a period of 12 months.

Trial Health

30
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Timeline
Completed

Started Apr 2019

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
withdrawn

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

January 9, 2018

Completed
8 days until next milestone

First Posted

Study publicly available on registry

January 17, 2018

Completed
1.2 years until next milestone

Study Start

First participant enrolled

April 1, 2019

Completed
12 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

March 30, 2020

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

March 30, 2020

Completed
Last Updated

April 1, 2021

Status Verified

March 1, 2021

Enrollment Period

12 months

First QC Date

January 9, 2018

Last Update Submit

March 26, 2021

Conditions

Outcome Measures

Primary Outcomes (1)

  • Number of surgical site infections that can reliably be detected using the sensor technology

    Number of surgical sites infections detected

    Daily for 30 days

Secondary Outcomes (1)

  • Proportion of patients that find the sensor technology acceptable

    Questionnaire administered once at day 30

Interventions

The intervention is based on a sensor technology that gathers data and transmit it to another location for processing. The monitoring utilises an LED light source, an integral detector set which has variance from device to device and chromatic based algorithms for extraction of information from the detectors. The integration of these components into a system provides robustness and stability for operation. The availability of smartphones which possess high quality cameras and constant internet connectivity provides an ideal platform for multimedia clinical data collection and real-time patient-provider communication.

Eligibility Criteria

Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Eligible patients identified from the surgical waiting or operation list. Patients should be resident within the Liverpool area and must be smartphone users. The mobile phone must have the facility to be locked by either a code or fingerprint recognition. Only high-risk patients that meet the inclusion criteria will be approached for consent, by the consultant performing the initial assessment before the procedure or the research nurse, either in the pre admission clinic or in hospital.

You may qualify if:

  • Patients will be included if they had a planned or urgent elective coronary artery bypass graft surgery, 18 years or older, with high risk factors such as elderly patients (≥75 years old) living alone, having morbid obesity (BMI\>37 kg/m2), diabetes, COPD, are smokers or have a planned bilateral harvest of the internal thoracic artery.

You may not qualify if:

  • Patients will be excluded if they are: undergoing additional procedures such as antimicrobial-impregnated incision drapes; have existing wound dressing prior to discharge, undergoing chemotherapy, immunosuppressive therapy or steroids; use of antibiotics for an active infection; therapeutic radiation or renal dialysis; intra-aortic balloon pump or mechanical assist device preoperatively. They will be excluded if they have an abnormal skin condition around the surgical incision site; have neutropenia, have HIV infection with CD4 count \<350 per mm3; have sensitivity or allergic to cyanoacrylate, isopropyl alcohol, iodine, iodine-containing products or tape.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Liverpool Heart and Chest Hospital

Liverpool, Merseyside, L14 3PE, United Kingdom

Location

Related Publications (3)

  • Gibson A, Tevis S, Kennedy G. Readmission after delayed diagnosis of surgical site infection: a focus on prevention using the American College of Surgeons National Surgical Quality Improvement Program. Am J Surg. 2014 Jun;207(6):832-9. doi: 10.1016/j.amjsurg.2013.05.017. Epub 2013 Oct 10.

    PMID: 24119885BACKGROUND
  • Perencevich EN, Sands KE, Cosgrove SE, Guadagnoli E, Meara E, Platt R. Health and economic impact of surgical site infections diagnosed after hospital discharge. Emerg Infect Dis. 2003 Feb;9(2):196-203. doi: 10.3201/eid0902.020232.

    PMID: 12603990BACKGROUND
  • Horan TC, Andrus M, Dudeck MA. CDC/NHSN surveillance definition of health care-associated infection and criteria for specific types of infections in the acute care setting. Am J Infect Control. 2008 Jun;36(5):309-32. doi: 10.1016/j.ajic.2008.03.002. No abstract available.

    PMID: 18538699BACKGROUND

MeSH Terms

Conditions

Surgical Wound Infection

Condition Hierarchy (Ancestors)

Wound InfectionInfectionsPostoperative ComplicationsPathologic ProcessesPathological Conditions, Signs and Symptoms

Study Officials

  • Mark Field, MBBS, PhD

    Liverpool Heart & Chest Hospital

    PRINCIPAL INVESTIGATOR
0

Study Design

Study Type
observational
Observational Model
CASE ONLY
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

January 9, 2018

First Posted

January 17, 2018

Study Start

April 1, 2019

Primary Completion

March 30, 2020

Study Completion

March 30, 2020

Last Updated

April 1, 2021

Record last verified: 2021-03

Data Sharing

IPD Sharing
Will not share

There is no plan to share IPD

Locations