A Digital Antimicrobial Stewardship Smartphone Application to Combat AMR: the AB-assistant (AB-assistant)

July 31, 2020 updated by: Annelies Verbon

A Digital Antimicrobial Stewardship Smartphone Application to Combat AMR: the AB-assistant: an International, Multicenter Stepped-wedge Cluster Randomized Trial

Optimal prescribing of antimicrobials is becoming increasingly challenging because of the growing complexity of guidelines and constantly changing distribution of infectious pathogens. Prescribing antimicrobials appropriately according to local guidelines optimizes therapy for the individual patient and reduces the emergence of resistance. By adapting and evaluating a smartphone based app containing local guidelines we aim to study appropriate prescribing of antimicrobials by physicians in three hospitals (Netherlands, Sweden and Switzerland).

Study Overview

Detailed Description

Rationale: Antimicrobials are an indispensable part of modern medicine. However, optimal prescription of these agents is becoming increasingly challenging because of the growing complexity of guidelines, and constantly changing epidemiology of infectious pathogens. Moreover, due to local variations in the prevalence of certain pathogens and antimicrobial resistance (AMR), antimicrobial choices need to be tailored to local epidemiology. Improvement of antimicrobial use, in particular prevention of overuse and suboptimal use of antimicrobials, through antimicrobial stewardship (AMS) programs is increasingly regarded as indispensable, both to optimize therapy for the individual patients as well as to reduce emergence and spread of AMR. With the widespread use of electronic health records (EHR) and handheld electronic devices in hospitals, informatics-based AMS interventions hold great promise as tools to improve antimicrobial prescribing. However, they are still underdeveloped, understudied and underutilized.

Objective: The study aims to adapt and evaluate the "AB-assistant", a smartphone based digital stewardship application that is customizable to local guidelines by local antibiotic stewards and therefore has the potential to be used worldwide, including in low- and middle-income countries.

Study design: The existing North American Spectrum app (SpectrumMD; Canada) will be adjusted and translated for the European market. During a usability study physicians will use the app for two weeks followed by individual interviews to determine facilitators and barriers of app use. Based on the results of these interviews the app will be adjusted if necessary. After adaptation and usability testing, thereafter the AB-assistant app will be evaluated in an international, multicentre, randomized clinical trial involving centres in 3 countries in different settings with appropriate antimicrobial use as a primary outcome. In a stepped wedge cluster randomized trial, wards will be randomised after stratification for specialty. At baseline a 2-week measurement period will be done, followed by the introduction of the intervention to 6 wards (in 3 hospitals) with a 4-week interval with 6 inclusion periods. This cycle will be repeated with the inclusion of all new intervention wards. We include the 36 wards in total during the 6 inclusion phases and at the end of the inclusion time we allow use of the app by everyone, also wards not included in the study.

Study Type

Interventional

Enrollment (Anticipated)

1080

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

Cluster level (wards):

• Medical and surgical wards.

Physician level:

• All physicians involved in antibiotic prescribing decisions in the participating wards.

Patient level:

• All patients hospitalized in the participating wards >= 18 years of age to whom systemic antimicrobials are prescribed.

Exclusion Criteria:

Cluster level (wards):

  • Outpatient clinics
  • Psychiatry wards
  • ICU

Physician level:

• None

Patient level:

• None

Treatment level:

• Surgical and medical prophylaxis.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: AB-assistant
Use of the AB-assistant app by physicians in intervention wards.
The AB-assistant is an antimicrobial stewardship smartphone application that offers local antimicrobial guidelines to physicians currently assessed per website or paper/digital booklet.
No Intervention: Standard antimicrobial stewardship
Physicians on these wards will use conventional ways to assess local guidelines to prescribe antimicrobials.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Appropriate empirical antimicrobial therapy
Time Frame: 12 months
According to predefined criteria
12 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Total prescription of antimicrobial drugs
Time Frame: 12 months
In defined daily dose (DDD)/admission
12 months
Total prescription of antimicrobial drugs per AWaRe category in DDD/admission
Time Frame: 12 months
Per AWaRe category in DDD/admission
12 months
Antimicrobial costs
Time Frame: 12 months
Total costs of antimicrobial drugs administered
12 months
Length of hospital stay (LOS)
Time Frame: 12 months
(LOS)
12 months
In-hospital mortality
Time Frame: 12 months
All cause in-hospital mortality
12 months
Hospital readmission within 30 days of discharge
Time Frame: 12 months
Unplanned hospital readmissions within 30 days after discharge
12 months
Transfer to intermediate care or ICU
Time Frame: 12 months
% of admissions transferred to intermediate care or ICU after initial non-intermediate care or non-ICU admission
12 months
Incidence Clostridium difficile infections (CDI)
Time Frame: 12 months
Incidence of healthcare facility onset Clostridium difficile
12 months
Incident clinical cultures with multi-drug resistant organisms (MDRO)
Time Frame: 12 months
Incidence of clinical cultures with multidrug resistant organisms (methicillin-resistant Staphylococcus aureus (MRSA), Extended spectrum beta-lactamase producing Enterobacteriaceae (ESBL-E), carbapenemase-producing Enterobacteriaceae (CPE), vancomycin-resistant enterococci (VRE), multidrug resistant P. aeruginosa) denominated per 1000 patient days and admissions
12 months
Uptake of the AB-assistant
Time Frame: 12 months
Total users and number of sessions per user, time spent per session, time spent per screen, number of times each screen is viewed.
12 months
Actual use of AB-assistant and experiences while using it
Time Frame: 12 months
Questionnaire
12 months
Number of infectious diseases consultations
Time Frame: 12 months
Total amount of infectious diseases consultations
12 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: B D Huttner, MD, MS, University Hospital, Geneva
  • Principal Investigator: T Tängdén, MD, PhD, Uppsala University
  • Principal Investigator: John Conly, Prof. Dr., University of Calgary Cumming School of Medicine

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Anticipated)

September 1, 2020

Primary Completion (Anticipated)

September 1, 2021

Study Completion (Anticipated)

January 1, 2022

Study Registration Dates

First Submitted

January 3, 2019

First Submitted That Met QC Criteria

January 3, 2019

First Posted (Actual)

January 4, 2019

Study Record Updates

Last Update Posted (Actual)

August 4, 2020

Last Update Submitted That Met QC Criteria

July 31, 2020

Last Verified

July 1, 2020

More Information

Terms related to this study

Other Study ID Numbers

  • ZonMw_549003001

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

De-identified raw data will be made publicly on request available from the time of publication or within a reasonable time period of the experiments being completed. General project data and metadata will be included in the supplementary data of published articles if needed and or shared through university repositories.

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • CSR

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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