621 - Reporting Behaviors and Perceptions Towards the National Healthcare Safety Network Antimicrobial Use (AU) and Antimicrobial Resistance (AR) Options

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Presenting Author(s)

Brian J. Werth

Associate Professor of Pharmacy
University of Washington School of Pharmacy
Seattle, WA
Disclosure: Shionogi Inc. (Grant/Research Support)

Co-Author(s)

TD

Thomas J. Dilworth

Pharmacy Coordinator, Infectious Diseases
AdvocateAuroraHealth, Aurora St. Luke’s Medical Center
milwaukee, Wisconsin
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
Zahra Kassamali Escobar

Clinical Pharmacist, Infectious Diseases
UW Medicine Valley Medical Center
Renton, Washington
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
AG

Alan E. Gross

Clinical Assistant Professor
University of Illinois
Chicago, IL
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
Katie J. Suda

Research Health Scientist and Professor
Center for Health Equity Research and Promotion and University of Pittsburgh
Pittsburgh, Pennsylvania
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
Jessina C. McGregor

Professor
Oregon State University
Portland, OR
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
AM

Andrew M. Morris

Professor of Medicine
University of Toronto
Toronto, Ontario, Canada
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
Kerry L. LaPlante

Professor and Chair
1. Infectious Diseases Research Program, Providence Veterans Affairs Medical Center, Providence, RI, United States 2. Center of Innovation in Long-Term Support Services, Providence Veterans Affairs Medical Center, Providence, RI, United States 3. College of Pharmacy, University of Rhode Island, Kingston, RI, United States 5. Warren Alpert Medical School of Brown University, Division of Infectious Diseases, Providence, RI
Kingston, Rhode Island
Disclosure: Merck (Advisor or Review Panel member, Research Grant or Support)Ocean Spray Cranberries, Inc. (Research Grant or Support)Pfizer Pharmaceuticals (Research Grant or Support)Shionogi, Inc. (Research Grant or Support)
KK

Kristi Kuper

Director of Clinical Pharmacy
DoseMeRx/Tabula Rasa HealthCare
Katy, Texas
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.

Background: Antibiotic use (AU) and antibiotic resistance (AR; AUR) reporting to National Healthcare Safety Network (NHSN) is suboptimal by US hospitals. The Society of Infectious Diseases Pharmacists (SIDP) and the Society for Healthcare Epidemiology of America (SHEA) conducted a survey of their membership to 1) Identify characteristics of US health systems that report AUR data 2) Determine how NHSN AUR data are used by health systems and 3) Identify barriers to AUR reporting.

Methods: An anonymous survey was posted on SurveyMonkey from 1/21- 2/21/2020 and links were emailed to SIDP and SHEA Research Network members. Data were analyzed in Excel and RStudio. Respondent and hospital data were reported as frequencies and percentages. Fisher’s Exact test was used to compare survey responses from NHSN AUR reporters to non-reporters.

Results: A total of 238 individuals from 43 states responded to our survey. Respondents were primarily pharmacists (84%), from urban (45%), non-profit medical centers (80%) with >250 beds (65%). 62% of respondents reported to the AU option while 19% reported to the AR option. Respondents not using software for local AU or AR tracking were less likely than those using any software for local tracking to report to AU (19% vs 64%) and AR (2% vs 30%) options (P< 0.0001). Among AU and AR reporters 41% and 54% used clinical decision support software to aggregate compile data for upload while 54% and 38% used their electronic health record, and 5% and 8% used another method. Over half of AU (56%) and AR (51%) reporters upload data manually. Regular use of the NHSN data analysis tools was reported by 36% and 9% of those reporting AU and AR data respectively. The most common barriers to reporting were related to technical issues (software, IT support, data formatting) and time/salary support. Among non-reporters, increased expectations to report and better software solutions were most commonly identified as the best ways to increase reporting.

Conclusion: Efforts to improve AUR reporting should focus on software solutions and increasing the utility of AUR analytical tools. Increasing expectations to report may also help to improve reporting rates. The lower rate of AR vs AU reporting suggests that interventions should also target the AR option.