使用六西格玛框架开发透析设置的全州感染预防计划评估服务

Chelsea Ludington, Renee Brum
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引用次数: 0

摘要

背景:由于需要反复和直接进入血液,需要血液透析的患者发生卫生保健相关感染的风险更高。未能评估系统和过程中的差距会阻碍质量和绩效改进计划的实施。在密歇根州,没有向透析单位提供咨询服务,以协助预防感染的做法,也没有使用全州的透析数据。密歇根州卫生与公众服务部开发了一项咨询性、非监管性的服务,致力于对基于透析的感染预防项目进行全面评估。方法:一个多学科团队采用六西格玛定义-测量-分析-设计-验证模型创建了感染预防透析评估方案。这些要素包括来自疾病预防控制中心的透析特异性感染控制评估和反应(ICAR)工具中的内容以及支持项目评估项目。从2021年8月到2022年8月,该团队在我们队列的17家医院完成了17次住院透析评估。使用描述性统计分析对数据进行分析,最终分析包括来自开发的评估工具的1,086个观察结果。观察结果分为7个感染预防类别:适当使用单用途和多用途器械和用品、无菌技术、血源性病原体预防、清洁和消毒、手卫生、个人防护装备(PPE)使用以及器械和用品的储存。在每次实地考察后,向参与机构提供了详细的总结报告,其中包括确定的差距、改进建议和基于证据的资源。结果:在17项评估中,将缺陷分为7个主要感染预防类别,包括清洁和消毒(n = 17, 100%)、手部卫生(n = 9, 53%)、PPE使用(n = 9, 53%)、单用途和多用途器械和用品的合理使用(n = 6, 35%)、血源性病原体预防措施(n = 6, 35%)、无菌技术(n = 5, 29%)、器械和用品的储存(n = 4, 24%)。结论:我们项目的原型在检测基于透析的知识产权项目的缺口方面取得了成功。通过对评估结果进行数据分析,我们已经能够帮助组织建立质量和绩效改进的优先级。根据研究结果,评估感染预防规划(包括透析环境中的感染预防规划)的全面和健全的系统对于加强整个连续护理过程中的感染预防操作是必要的。披露:没有
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Developing a statewide infection prevention program assessment service for dialysis settings using a six-sigma framework
Background: Due to the need for recurrent and direct access to the bloodstream, patients who require hemodialysis are at higher risk of developing healthcare-associated infections. Failure to assess gaps in systems and processes impedes the implementation of quality and performance improvement initiatives. In Michigan, there is no consultative service offered to dialysis units to assist with infection prevention practices, and no statewide dialysis data are being utilized. The Michigan Department of Health and Human Services developed a consultative, nonregulatory service dedicated to providing a comprehensive assessment of dialysis-based infection prevention programs. Methods: A multidisciplinary team created an infection prevention dialysis evaluation program using the six-sigma define–measure–analyze–design–verify model. These elements included content within the dialysis-specific Infection Control Assessment and Response (ICAR) Tool from the CDC with supporting program assessment items. From August 2021 through August 2022, the team completed 17 inpatient dialysis assessments within our cohort’s 17 hospitals. Data were analyzed using descriptive statistical analysis, and the final analysis included 1,086 observations from the developed assessment tool. Observations were grouped into 7 infection prevention categories: appropriate use of single and multiuse devices and supplies, aseptic technique, bloodborne pathogen prevention, cleaning and disinfection, hand hygiene, personal protection equipment (PPE) use, and storage of devices and supplies. Detailed summary reports were provided to the participating facilities after each site visit that included identified gaps, recommendations for improvement, and evidence-based resources. Results: Deficiencies were grouped into 7 major infection prevention categories among the 17 assessments, including cleaning and disinfection (n = 17, 100%), hand hygiene (n = 9, 53%), PPE use (n = 9, 53%), appropriate use of single and multiuse devices and supplies (n = 6, 35%), bloodborne pathogen prevention measures (n = 6, 35%), aseptic technique (n = 5, 29%), and storage of devices and supplies (n = 4, 24%). Conclusions: Our program’s prototype has been successful at detecting gaps in dialysis-based IP programs. By conducting data analyses of assessment findings, we have been able to assist the organization in establishing priorities for quality and performance improvement. Based on the results, comprehensive and robust systems to assess infection prevention programs, including those in dialysis settings, are necessary to enhance infection prevention operations across the continuum of care. Disclosures: None
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