NCT04013737

Brief Summary

Antimicrobials (drugs that kill or stop the growth of microorganisms including bacteria, thereby treating infections) commonly used to treat patients with infections are becoming less effective over time as bacteria develop resistance to them. Antimicrobial usage itself can lead to development and spread of antimicrobial resistance. Antimicrobial resistance is now a major threat to patient safety. To conserve the effectiveness of antimicrobials the investigator need to develop ways to use them more sensibly healthcare professionals who diagnose and treat infections must be able to access antimicrobial guidelines and test results at the patient bedside. This needs to be provided rapidly and with support to make sure that the decisions on prescribing antimicrobials are the best that can be made.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
33

participants targeted

Target at P25-P50 for all trials

Timeline
Completed

Started Feb 2017

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
completed

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

Study Start

First participant enrolled

February 28, 2017

Completed
1.9 years until next milestone

First Submitted

Initial submission to the registry

January 31, 2019

Completed
5 months until next milestone

First Posted

Study publicly available on registry

July 10, 2019

Completed
29 days until next milestone

Primary Completion

Last participant's last visit for primary outcome

August 8, 2019

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

August 8, 2019

Completed
2.1 years until next milestone

Results Posted

Study results publicly available

August 31, 2021

Completed
Last Updated

August 31, 2021

Status Verified

August 1, 2021

Enrollment Period

2.4 years

First QC Date

January 31, 2019

Results QC Date

July 24, 2020

Last Update Submit

August 4, 2021

Conditions

Keywords

Antimicrobial ResistanceAntibiotic prescribingClinical Decision Support Systems

Outcome Measures

Primary Outcomes (2)

  • Percentage of Appropriate Antimicrobial Prescriptions Recommended

    This will be measured by assessing the appropriateness of prescriptions recommended by the system compared to current clinical practice. Appropriateness is determined by evaluating prescribing against current clinical guidelines or infection expert opinion on best practice and is expressed as a proportion of the total number of antibiotic prescriptions made. Each individual patient has a single antibiotic prescription evaluated.

    Single prescription at the time of antimicrobial prescribing assessment (e.g. at the time antibiotics were prescribed)

  • Evaluation of Effectiveness Assessed by User Acceptance of the Device

    This was assessment was a single time point at baseline (Pre-intervention) and single time point after use of the device in the study. Scores were pre-determined based on anticipated answers provided by participants pre- and post- intervention using a bespoke mark scheme (https://aricjournal.biomedcentral.com/articles/10.1186/s13756-018-0333-1). Participants could score between 0 (lowest) and 13 (highest) marks based on their responses to questions assessing knowledge and understanding.

    Single time point before and after use of the device in the study

Study Arms (2)

Patients and Public

Exploration of patient and public engagement with antibiotic decision making in secondary care. Prospective evaluation of a co-designed intervention to support enhanced knowledge and understanding of infections and their management.

Device: EPIC IMPOC

Prescribers

Quantitative evaluation of the impact of using a clinical decision support system to support antibiotic decision making.

Device: EPIC IMPOC

Interventions

Clinical Decision Support System for antibiotic prescribing.

Patients and PublicPrescribers

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Patients may be asked to participate in the evaluation of the the patient module. For prescriber recruitment to use the application the following methods of identifying participants will be undertaken: Phase 1: Participants will be identified based on their roles within the infectious disease team (level and areas of the hospital covered) and will be directly approached by the study PI / clinical infection lead to request their support with this phase of the project. Phase 2: Participants (physicians) will be identified based on the wards that they work in.

You may qualify if:

  • (i) healthcare professionals for evaluation phases: Have read the PIL and consent to participate in the study
  • (ii) patients for whom the clinician chooses to use the POC DSS as a resource when prescribing antimicrobials: Adult patients \> 18 years old Being managed for infection outside of the critical care setting in Imperial College Healthcare NHS Trust Deemed appropriate for management with POC DSS by attending physician Prescribed antimicrobial agents outside of the critical care setting in last 5 days
  • (iii) Prescriber / healthcare professional for using POC DSS: Trained Healthcare Professional Working within wards under assessment Deemed suitable for recruitment by senior member of their team

You may not qualify if:

  • (i) healthcare professionals: Do not wish to participate in the study Working across wards which is acting as a control ward Deemed no suitable for recruitment by a senior member of their team Non-permanent member of the Trust Information governance training not up-to-date
  • (ii) patients recruits Critical care patients Paediatric patients \< 18 years old Deemed not suitable for management using POC DSS by attending physician On palliative care, end of life pathway Prisoners / young offenders in custody of HM Prison Service Involved in current research or have recently been involved in any research prior to recruitment (last 3 months)

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Imperial College London

London, W12 0NN, United Kingdom

Location

MeSH Terms

Conditions

Infections

Results Point of Contact

Title
Head of Operations
Organization
Health Protection Research Unit in HCAI and AMR, Imperial College London

Study Officials

  • Alison Holmes

    Professor

    PRINCIPAL INVESTIGATOR

Publication Agreements

PI is Sponsor Employee
Yes

Study Design

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

Study Record Dates

First Submitted

January 31, 2019

First Posted

July 10, 2019

Study Start

February 28, 2017

Primary Completion

August 8, 2019

Study Completion

August 8, 2019

Last Updated

August 31, 2021

Results First Posted

August 31, 2021

Record last verified: 2021-08

Locations