缩小感染预防人员配备建议方面的差距：APIC 人员配置计算器测试版的结果。

IF 3.8 3区医学 Q2 INFECTIOUS DISEASES

American journal of infection control Pub Date : 2024-10-10 DOI:10.1016/j.ajic.2024.09.004

Rebecca Bartles DrPH, MPH, CIC, FAPIC , Sara Reese PhD, MPH, CIC, FAPIC , Alexandr Gumbar SA, CSM, MCSE

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引用次数: 0

摘要

背景：已发表的文献表明，"一刀切 "式的感染预防与控制（IPC）人员配备建议并未充分考虑项目的复杂性需求。本项目的目标是利用风险和复杂性因素创建并验证一个计算器，以生成个性化的 IPC 人员配备比率：方法：创建了一个基于在线调查的计算器，该计算器纳入了旨在预测人员配置需求的因素和多个调查问题，以便对算法中的因素进行优化。对医院特点、人员配置比例、人员配置认知和结果进行了分析，以确定最佳问题和基准，供今后发布：结果：在 390 家参与医院中，感染预防专家全职等效床位比的中位数为 121.0 床位。计算器认为 79.2% 的受访者认为人员配置低于预期。在中央管路相关血流感染（P = .02）、导管相关尿路感染（P = .001）、艰难梭菌感染（P = .003）和结肠手术部位感染（P = .0001）方面，较高的标准感染率范围与人员配置状况之间存在显著关联：这种新颖的方法允许医疗机构根据个人因素为其 IPC 计划配备人员。计算器的未来版本将根据研究结果进行优化。未来的研究将明确人员配置对患者预后和员工留任的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Closing the gap on infection prevention staffing recommendations: Results from the beta version of the APIC staffing calculator

Background

Published literature suggests “one-size-fits-all" infection prevention and control (IPC) staffing recommendations do not sufficiently account for program complexity needs. This project's objective was to create and validate a calculator utilizing risk and complexity factors to generate individualized IPC staffing ratios.

Methods

An online survey-based calculator was created that incorporated factors intended to predict staffing needs and multiple investigative questions to allow for optimization of factors in the algorithm. Hospital characteristics, staffing ratios, staffing perception, and outcomes were analyzed to determine the optimal questions and benchmarks for future releases.

Results

The median infection preventionist full-time equivalent to bed ratio was 121.0 beds for 390 participating hospitals. The calculator deemed 79.2% of respondent staffing as below expected. Significant association existed between higher standard infection ratio ranges and staffing status for central line-associated bloodstream infection (P = .02), catheter-associated urinary tract infections (P = .001), Clostridioides difficile infections (P = .003), and colon surgical site infections (P = .0001).

Conclusions

This novel approach allows facilities to staff their IPC program based on individual factors. Future versions of the calculator will be optimized based on the findings. Future research will clarify the impact of staffing on patient outcomes and staff retention.

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来源期刊

American journal of infection control 医学-传染病学

CiteScore

7.40

自引率

4.10%

发文量

479

审稿时长

24 days

期刊介绍： AJIC covers key topics and issues in infection control and epidemiology. Infection control professionals, including physicians, nurses, and epidemiologists, rely on AJIC for peer-reviewed articles covering clinical topics as well as original research. As the official publication of the Association for Professionals in Infection Control and Epidemiology (APIC)