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).
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
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
Enrollment
1,080
The AB-assistant is an antimicrobial stewardship smartphone application that offers local antimicrobial guidelines to physicians currently assessed per website or paper/digital booklet.
University of Calgary Cumming School of Medicine and Alberta Health Services, Department of Medicine
Calgary, Alberta, Canada
Erasmus Medical Center
Rotterdam, South Holland, Netherlands
Uppsala University, Dept of Medical Sciences
Uppsala, Sweden
Geneva University Hospitals
Geneva, Canton of Geneva, Switzerland
Appropriate empirical antimicrobial therapy
According to predefined criteria
Time frame: 12 months
Total prescription of antimicrobial drugs
In defined daily dose (DDD)/admission
Time frame: 12 months
Total prescription of antimicrobial drugs per AWaRe category in DDD/admission
Per AWaRe category in DDD/admission
Time frame: 12 months
Antimicrobial costs
Total costs of antimicrobial drugs administered
Time frame: 12 months
Length of hospital stay (LOS)
(LOS)
Time frame: 12 months
In-hospital mortality
All cause in-hospital mortality
Time frame: 12 months
Hospital readmission within 30 days of discharge
Unplanned hospital readmissions within 30 days after discharge
Time frame: 12 months
Transfer to intermediate care or ICU
% of admissions transferred to intermediate care or ICU after initial non-intermediate care or non-ICU admission
Time frame: 12 months
Incidence Clostridium difficile infections (CDI)
Incidence of healthcare facility onset Clostridium difficile
Time frame: 12 months
Incident clinical cultures with multi-drug resistant organisms (MDRO)
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
Time frame: 12 months
Uptake of the AB-assistant
Total users and number of sessions per user, time spent per session, time spent per screen, number of times each screen is viewed.
Time frame: 12 months
Actual use of AB-assistant and experiences while using it
Questionnaire
Time frame: 12 months
Number of infectious diseases consultations
Total amount of infectious diseases consultations
Time frame: 12 months
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