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运用系统思维方法解决医疗保健复杂性和证据实施问题。

Using systems thinking methodologies to address health care complexities and evidence implementation.

机构信息

Department of Public Health, Melbourne, La Trobe University, School of Psychology and Public Health, Victoria.

The Hopkins Centre, Griffith University, Meadowbrook, Queensland, Australia.

出版信息

JBI Evid Implement. 2021 Nov 29;20(1):3-9. doi: 10.1097/XEB.0000000000000303.

Abstract

BACKGROUND

Despite health care advances, artificial intelligence and government interventions aiming to improve the health and wellbeing of citizens, huge disparities and failures in care provision exist. This is demonstrated by the rising number of medical errors, increase in readmission rates and mortality rates, and the failure of many health systems to successfully cope with events, such as pandemics and natural disasters. This shortfall is in part because of the complexity of the health care system, the interconnectedness of various parts of service, funding models, the complexity of patients' conditions, patient and carer needs, and the clinical processes needed for patients via multiple providers.

OBJECTIVE

The objective of this paper is to describe the use of system thinking methodologies to address complex problems such as those in the public health and health services domains.

METHOD

A description of the system thinking methodology and its associated methods including causal loop diagrams, social network analysis and soft system methodology are described with examples in the health care setting.

RESULTS

There are various models of knowledge translation that have been employed including the Joanna Briggs Institute model of implementation of evidence into practice, the triple C, and the Promoting Action on Research Implementation in Health Services. However, many of these models are neither scalable nor sustainable, and are most effective for localized projects implemented by trained clinicians and champions in relevant settings.System thinking is essentially a modelling process, which aims to create opportunities for change via an appreciation of perspective, and recognition that complex problems are a result of interconnected factors. The article argues that systems thinking applications need to move beyond that of addressing complex health issues pertaining to a population, and rather consider complex problems surrounding the delivery of high-quality health care.

CONCLUSION

It is important that methods to implement systems thinking methodologies in health care settings are developed and tested.

摘要

背景

尽管医疗保健取得了进步,人工智能和政府干预措施旨在改善公民的健康和福利,但在提供护理方面仍存在巨大差距和失败。这表现在医疗差错数量的增加、再入院率和死亡率的上升,以及许多卫生系统未能成功应对大流行和自然灾害等事件。这一不足部分是由于医疗保健系统的复杂性、服务各部分的相互关联性、资金模式、患者病情的复杂性、患者和照顾者的需求,以及患者通过多个提供者所需的临床流程。

目的

本文旨在描述使用系统思维方法来解决公共卫生和卫生服务领域等复杂问题。

方法

描述了系统思维方法及其相关方法,包括因果关系图、社会网络分析和软系统方法论,并在医疗保健环境中举例说明了这些方法。

结果

已经采用了各种知识转化模型,包括将证据应用于实践的乔安娜布里格斯研究所模型、三重 C 和促进卫生服务研究实施的行动。然而,其中许多模型既不可扩展也不可持续,并且对于在相关环境中受过培训的临床医生和拥护者实施的本地化项目最为有效。系统思维本质上是一种建模过程,旨在通过欣赏视角并认识到复杂问题是相互关联因素的结果,为变革创造机会。本文认为,系统思维应用需要超越解决与人口有关的复杂健康问题,而是考虑围绕提供高质量医疗保健的复杂问题。

结论

在医疗保健环境中开发和测试实施系统思维方法的方法非常重要。

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