2018
DOI: 10.1177/1357633x18767702
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Antimicrobial stewardship through telemedicine and its impact on multi-drug resistance

Abstract: Introduction Telemedicine technologies are increasingly being incorporated into infectious disease practice. We aimed to demonstrate the impact of antimicrobial stewardship through telemedicine on bacterial resistance rates. Methods We conducted a quasi-experimental study in a 220-bed hospital in southern Brazil. An antimicrobial stewardship program incorporating the use of telemedicine was implemented. Resistance and antimicrobial consumption rates were determined and analysed using a segmented regression mod… Show more

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Cited by 20 publications
(22 citation statements)
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“…Three publications have described successful tele-stewardship programs in which specialists reviewed antibiotic prescriptions and communicated recommendations via secure websites, secure messaging systems, or the electronic medical record. [7][8][9] Moreover, 4 reports have described tele-consultation interventions that used secure videoconference technology to bring individuals from remote locations together for regularly scheduled, multidisciplinary team meetings. [10][11][12][13] An additional publication describes an on-demand approach in which providers requested advice from an on-call infectious disease expert and received real-time feedback over the telephone and through the electronic medical record.…”
Section: Discussionmentioning
confidence: 99%
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“…Three publications have described successful tele-stewardship programs in which specialists reviewed antibiotic prescriptions and communicated recommendations via secure websites, secure messaging systems, or the electronic medical record. [7][8][9] Moreover, 4 reports have described tele-consultation interventions that used secure videoconference technology to bring individuals from remote locations together for regularly scheduled, multidisciplinary team meetings. [10][11][12][13] An additional publication describes an on-demand approach in which providers requested advice from an on-call infectious disease expert and received real-time feedback over the telephone and through the electronic medical record.…”
Section: Discussionmentioning
confidence: 99%
“…14 Of these 8 programs, 5 detailed quantifiable decreases in the use of antibiotics and prevalence of multidrugresistant pathogens or Clostridiodes difficile. [7][8][9][10][11] Additionally, with the exception of a single report that reported an intervention in a long-term acute-care hospital, 7 the remaining programs focused on acute-care settings.…”
Section: Discussionmentioning
confidence: 99%
“…Fully remote TASPs include an offsite ID specialist conducting PAIF on individual patient cases and directly contacting prescribers through various telehealth delivery systems. Examples include on‐demand review of antibiotic prescriptions facilitated by requests through a secure web application 19,20 or telephone hotline, 21 or TASP‐driven PAIF with a shared EHR and/or clinical decision support software (CDSS) 22,29 . These models may or may not include engagement of on‐site pharmacists, and only some were able to demonstrate measurable decreases in antimicrobial consumption, prevalence of multidrug‐resistant organisms (MDRO), or declining CDI rates as a proof of concept for TASP 20,22,23 .…”
Section: Fully Remote Tasp Modelsmentioning
confidence: 99%
“…Examples include on‐demand review of antibiotic prescriptions facilitated by requests through a secure web application 19,20 or telephone hotline, 21 or TASP‐driven PAIF with a shared EHR and/or clinical decision support software (CDSS) 22,29 . These models may or may not include engagement of on‐site pharmacists, and only some were able to demonstrate measurable decreases in antimicrobial consumption, prevalence of multidrug‐resistant organisms (MDRO), or declining CDI rates as a proof of concept for TASP 20,22,23 . Most of these studies focused on acute care settings, whereas one uniquely focused on a long‐term acute care hospital (LTACH) 23 .…”
Section: Fully Remote Tasp Modelsmentioning
confidence: 99%
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