Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, New South Wales, Australia.
Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, New South Wales, Australia.
Implement Sci. 2020 Oct 21;15(1):91. doi: 10.1186/s13012-020-01049-0.
Studies of clinical effectiveness have demonstrated the many benefits of programmes that avoid unnecessary hospitalisations. Therefore, it is imperative to examine the factors influencing implementation of these programmes to ensure these benefits are realised across different healthcare contexts and settings. Numerous factors may act as determinants of implementation success or failure (facilitators and barriers), by either obstructing or enabling changes in healthcare delivery. Understanding the relationships between these determinants is needed to design and tailor strategies that integrate effective programmes into routine practice. Our aims were to describe the implementation determinants for hospital avoidance programmes for people with chronic conditions and the relationships between these determinants.
An electronic search of four databases was conducted from inception to October 2019, supplemented by snowballing for additional articles. Data were extracted using a structured data extraction tool and risk of bias assessed using the Hawker Tool. Thematic synthesis was undertaken to identify determinants of implementation success or failure for hospital avoidance programmes for people with chronic conditions, which were categorised according to the Consolidated Framework for Implementation Research (CFIR). The relationships between these determinants were also mapped.
The initial search returned 3537 articles after duplicates were removed. After title and abstract screening, 123 articles underwent full-text review. Thirteen articles (14 studies) met the inclusion criteria. Thematic synthesis yielded 23 determinants of implementation across the five CFIR domains. 'Availability of resources', 'compatibility and fit', and 'engagement of interprofessional team' emerged as the most prominent determinants across the included studies. The most interconnected implementation determinants were the 'compatibility and fit' of interventions and 'leadership influence' factors.
Evidence is emerging for how chronic condition hospital avoidance programmes can be successfully implemented and scaled across different settings and contexts. This review provides a summary of key implementation determinants and their relationships. We propose a hypothesised causal loop diagram to represent the relationship between determinants within a complex adaptive system.
PROSPERO 162812.
临床效果研究表明,避免不必要住院的方案有许多益处。因此,必须研究影响这些方案实施的因素,以确保在不同的医疗保健环境和背景下实现这些益处。许多因素可能成为实施成功或失败的决定因素(促进因素和障碍),阻碍或促进医疗保健服务的改变。为了设计和调整将有效的方案纳入常规实践的策略,需要了解这些决定因素之间的关系。我们的目的是描述针对慢性病患者的避免住院方案的实施决定因素,以及这些决定因素之间的关系。
从成立到 2019 年 10 月,我们对四个数据库进行了电子搜索,并通过滚雪球的方式补充了其他文章。使用结构化数据提取工具提取数据,并使用 Hawker 工具评估偏倚风险。采用主题综合法确定针对慢性病患者的避免住院方案实施成功或失败的决定因素,根据实施研究综合框架(CFIR)对这些决定因素进行分类。还绘制了这些决定因素之间的关系。
初始搜索在去除重复项后返回了 3537 篇文章。经过标题和摘要筛选后,有 123 篇文章进行了全文审查。13 篇文章(14 项研究)符合纳入标准。主题综合得出了五个 CFIR 领域的 23 个实施决定因素。在纳入的研究中,“资源的可获得性”、“兼容性和适配性”和“跨专业团队的参与”是最突出的决定因素。最具相互关联的实施决定因素是干预措施的“兼容性和适配性”以及“领导力影响”因素。
有证据表明,慢性病患者避免住院的方案可以在不同的环境和背景下成功实施和推广。本综述总结了关键的实施决定因素及其关系。我们提出了一个假设的因果关系图,以代表复杂适应系统中决定因素之间的关系。
PROSPERO 162812。