Quality improvement model (IHI) as a strategy to implement a sepsis protocol in a public hospital in Brazil

Author:

Nates Leidy Katerine Calvo,Neto Antônio Capone,Pereira Adriano José,Silva Eliézer

Abstract

A major challenge for hospitals in low-income and middle-income countries is to improve management of patients diagnosed with sepsis. The objective of the present study was to evaluate the Institute for Healthcare Improvement (IHI) Model as a strategy to implement a managed sepsis protocol aimed at reducing sepsis mortality. We performed a longitudinal, prospective, non-randomised study using PDSA cycles for translating and implementing improvement actions and tools. Baseline case mortality/case fatality data were collected, and compliance rates were evaluated according to the Surviving Sepsis Campaign guidelines (3-hour care-bundle). Sepsis multidisciplinary work teams were designated and were responsible to develop Driver Diagrams and implement process changes in the intensive care unit, wards and emergency department. Satisfaction levels of healthcare professionals were assessed (balance variables). The study was carried out in a public quaternary hospital, in São Paulo city, Brazil (Hospital Municipal da Vila Santa Catarina). The number of patients with sepsis studied was 416 who were followed over a 15-month period. The data analyses were carried out by statistical process control. Case fatality rates were kept below a prespecified target of 25% (15.9%) during the period. Satisfaction level of the participating staff was high (95.2%) and 71% of participants reported no work overload. The IHI model was found to be a feasible and useful strategy for implementing a sepsis management clinical protocol.

Publisher

BMJ

Subject

Public Health, Environmental and Occupational Health,Health Policy,Leadership and Management

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3