Department of Pharmacy, University of Washington School of Pharmacy, Seattle, Washington, United States.
Department of Pharmacy Services, Advocate Aurora Health, Milwaukee, Wisconsin, United States.
Infect Control Hosp Epidemiol. 2023 Mar;44(3):406-412. doi: 10.1017/ice.2022.131. Epub 2022 Jun 15.
To identify characteristics of US health systems and end users that report antimicrobial use and resistance (AUR) data, to determine how NHSN AUR data are used by hospitals and health systems and end users, and to identify barriers to AUR reporting.
An anonymous survey was sent to Society of Infectious Diseases Pharmacists (SIDP) and Society for Healthcare Epidemiology of America (SHEA) Research Network members.
Data were collected via Survey Monkey from January 21 to February 21, 2020. Respondent and hospital data were analyzed using descriptive statistics.
We received responses from 238 individuals across 43 US states. Respondents were primarily pharmacists (84%), from urban areas, (44%), from nonprofit medical centers (81%), and from hospitals with >250 beds (72%). Also, 62% reported data to the AU module and 19% reported data to the AR module. Use of software for local AU or AR tracking was associated with increased reporting to the AU module (19% vs 64%) and the AR module (2% vs 30%) ( < .001 each). Only 36% of those reporting data to the AU module used NHSN AUR data analysis tools regularly and only 9% reported data to the AR module regularly. Technical challenges and time and/or salary support were the most common barriers to AUR participation cited by all respondents. Among those not reporting AUR data, increased local expectations to report and better software solutions were the most commonly identified solutions to increase AUR reporting.
Efforts to increase AUR reporting should focus on software solutions and salary support for data-entry activities. Increasing expectations to report may incentivize local resource allocation to improve AUR reporting rates.
确定报告抗菌药物使用和耐药性(AUR)数据的美国卫生系统和终端用户的特征,确定 NHSN AUR 数据如何被医院和卫生系统以及终端用户使用,并确定 AUR 报告的障碍。
向感染病药师学会(SIDP)和美国医疗保健流行病学学会(SHEA)研究网络成员发送了一份匿名调查。
于 2020 年 1 月 21 日至 2 月 21 日通过 Survey Monkey 收集数据。使用描述性统计分析对受访者和医院数据进行分析。
我们收到了来自美国 43 个州的 238 名个人的回复。受访者主要是药师(84%),来自城市地区(44%),来自非营利性医疗中心(81%),来自拥有 >250 张床位的医院(72%)。此外,62%的人向 AU 模块报告数据,19%的人向 AR 模块报告数据。使用用于本地 AU 或 AR 跟踪的软件与向 AU 模块(19%比 64%)和 AR 模块(2%比 30%)报告数据的增加相关(<0.001 各)。向 AU 模块报告数据的人中,只有 36%定期使用 NHSN AUR 数据分析工具,只有 9%定期向 AR 模块报告数据。所有受访者都认为技术挑战以及时间和/或工资支持是参与 AUR 的最常见障碍。在未报告 AUR 数据的人群中,增加当地报告期望和更好的软件解决方案是最常被识别出的增加 AUR 报告的解决方案。
为了增加 AUR 报告,应重点关注软件解决方案和数据输入活动的工资支持。增加报告期望可能会激励当地资源分配以提高 AUR 报告率。