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      YouTube Video Educational Package Increased Acceptance of Antibiotic Clinical Decision Support System Recommendations

      abstract
      , BSc (Pharm) 1 , , Pharm. D, BCPS AQ in ID 2 , , MSc, MB BChir, MRCP, DLSHTM 3 , , FRACP, FAMS, FRCP 4 , , Doctor of Pharmacy (PharmD) 1
      Open Forum Infectious Diseases
      Oxford University Press

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          Abstract

          Background

          Antibiotic clinical decision support systems (CDSS) were implemented to provide stewardship at the point of ordering of broad-spectrum antibiotics (piperacillin-tazobactam and carbapenems). We postulated that a YouTube based educational video package (EP) with quizzes can help to improve CDSS acceptance.

          Methods

          A before-after study was conducted in general wards at Tan Tock Seng Hospital from April 2016 to March 2017. Baseline data were collected for 6 months before EP was implemented and during the next 6 months with EP dissemination to all doctors. Acceptance of CDSS recommendations between both phases were compared. Independent factors associated with acceptance of specific CDSS recommendations were identified by logistic regression.

          Results

          Patients recruited before and after EP was 1642 and 1313 respectively. Overall CDSS acceptance rate was similar before and after EP. There was improved acceptance for recommendations for dose optimizaton, antibiotic optimization and set duration (Figures 1 and 2). Independent factors of CDSS acceptance for dose optimizaton, antibiotic optimization and set duration are shown in Table 1. EP implementation was independently associated with acceptance of recommendations to set duration and optimize antibiotics.

          Conclusion

          EP was independently associated with increased CDSS acceptance on antibiotic duration and antibiotic optimization. Although acceptance of dose optimization was improved, EP was not associated independently with acceptance of the recommendations.

          Figure 2

          Acceptance of CDSS recommendations by classifications of recommendations

          Table 1

          3 multivariate models of acceptance of CDSS recommendations on antibiotic optimization, dose optimization and duration setting

          Set duration Antibiotic optimization Dose optimization
          Factor Odds ratio [95% CI]
          Lung infection 2.71

          [2.13–3.45]
          2.08

          [1.71–2.52]
          2.79

          [2.19-3.55]
          Unknown sepsis source 1.73

          [1.27–2.35]
          1.44

          [1.05-1.96]
          Piperacillin-tazobactam use 3.02

          [2.17–4.19]
          Temperature during initiation of antibiotics 0.86

          [0.79–0.94]
          The presence of oxygen supplementation during initiation of antibiotics 0.76

          [0.64–0.91]
          0.76

          [0.64–0.91]
          EP implementation 1.38

          [1.18–1.62]
          1.21

          [1.02–1.43]
          -
          Disclosures

          All authors: No reported disclosures.

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          Author and article information

          Journal
          Open Forum Infect Dis
          Open Forum Infect Dis
          ofid
          Open Forum Infectious Diseases
          Oxford University Press (US )
          2328-8957
          Fall 2017
          04 October 2017
          04 October 2017
          : 4
          : Suppl 1 , ID Week 2017 Abstracts
          : S263
          Affiliations
          [1 ] Pharmacy, Tan Tock Seng Hospital , Singapore, Singapore
          [2 ] Tan Tock Seng Hospital , Singapore, Singapore
          [3 ] Infectious Disease, Tan Tock Seng Hospital , Singapore, Singapore
          [4 ] Institute of Infectious Diseases and Epidemiology, Tan Tock Seng Hospital , Singapore, Singapore
          Author notes

          Session: 75. Stewardship: Program Implementation

          Thursday, October 5, 2017: 12:30 PM

          Article
          ofx163.579
          10.1093/ofid/ofx163.579
          5632244
          3b35d213-4301-4396-8660-c8df381d38d8
          © The Author 2017. Published by Oxford University Press on behalf of Infectious Diseases Society of America.

          This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence ( http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

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          Pages: 1
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          Poster Abstract

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