Enhanced, Personalized and Integrated Care for Infection Management at the Point-Of-Care
EPICIMPOC
1 other identifier
observational
33
1 country
1
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
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Feb 2017
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
February 28, 2017
CompletedFirst Submitted
Initial submission to the registry
January 31, 2019
CompletedFirst Posted
Study publicly available on registry
July 10, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 8, 2019
CompletedStudy Completion
Last participant's last visit for all outcomes
August 8, 2019
CompletedResults Posted
Study results publicly available
August 31, 2021
CompletedAugust 31, 2021
August 1, 2021
2.4 years
January 31, 2019
July 24, 2020
August 4, 2021
Conditions
Keywords
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.
Prescribers
Quantitative evaluation of the impact of using a clinical decision support system to support antibiotic decision making.
Interventions
Clinical Decision Support System for antibiotic prescribing.
Eligibility Criteria
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
MeSH Terms
Conditions
Results Point of Contact
- Title
- Head of Operations
- Organization
- Health Protection Research Unit in HCAI and AMR, Imperial College London
Study Officials
- PRINCIPAL INVESTIGATOR
Alison Holmes
Professor
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