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功能共振分析方法作为一种医疗保健研究方法:范围综述。

The Functional Resonance Analysis Method as a health care research methodology: a scoping review.

机构信息

Horizon Health Network, Saint John, NB, Canada.

Graduate Student, Memorial University, St. John's, NL, Canada.

出版信息

JBI Evid Synth. 2022 Apr 1;20(4):1074-1097. doi: 10.11124/JBIES-21-00099.

Abstract

OBJECTIVE

The objective of this review was to examine and map the literature on the use of the Functional Resonance Analysis Method (FRAM) in health care research.

INTRODUCTION

The FRAM is a resilient health care tool tat offers an approach to deconstruct complex systems by mapping health care processes to identify essential activities, how they are interrelated, and the variability that emerges, which can strengthen or compromise outcomes. Insight into how the FRAM has been operationalized in health care can help researchers and policy-makers understand how this method can be used to strengthen health care systems.

INCLUSION CRITERIA

This scoping review included research and narrative reports on the application of the FRAM in any health care setting. The focus was to identify the key concepts and definitions used to describe the FRAM; the research questions, aims, and objectives used to study the FRAM; the methods used to operationalize the FRAM; the health care processes examined; and the key findings.

METHODS

A three-step search strategy was used to find published and unpublished research and narrative reports conducted in any country. Only papers published in English were considered. No limits were placed on the year of publication. CINAHL, MEDLINE, Embase, PsycINFO, Inspec Engineering Village, ProQuest Nursing & Allied Health were searched originally in June 2020 and again in March 2021. A search of the gray literature was also completed in March 2021. Data were extracted from papers by two independent reviewers using a data extraction tool developed by the reviewers. Search results are summarized in a flow diagram, and the extracted data are presented in tabular format.

RESULTS

Thirty-one papers were included in the final review, and most (n = 25; 80.6%) provided a description or definition of the FRAM. Only two (n = 2; 6.5%) identified a specific research question. The remaining papers each identified an overall aim or objective in applying the FRAM, the most common being to understand a health care process (n = 20; 64.5%). Eleven different methods of data collection were identified, with interviews being the most common (n = 21; 67.7%). Ten different health care processes were explored, with safety and risk identification (n = 8; 25.8%) being the most examined process. Key findings identified the FRAM as a mapping tool that can identify essential activities or functions of a process (n = 20; 64.5%), how functions are interdependent or coupled (n = 18; 58.1%), the variability that can emerge within a process (n = 20; 64.5%), discrepancies between work as done and work as imagined (n = 20; 64.5%), the resiliency that exists within a process (n = 12; 38.7%), and the points of risk within a process (n = 10, 32.3%). Most papers (n = 27; 87.1%) developed models representing the complexity of a process.

CONCLUSIONS

The FRAM aims to use a systems approach to examine complex processes and, as evidenced by this review, is suited for use within the health care domain. Interest in the FRAM is growing, with most of the included literature being published since 2017 (n = 24; 77.4%). The FRAM has the potential to provide comprehensive insight into how health care work is done and how that work can become more efficient, safer, and better supported.

摘要

目的

本次综述的目的是考察和绘制功能共振分析方法(FRAM)在医疗保健研究中的应用文献。

介绍

FRAM 是一种弹性医疗工具,提供了一种通过绘制医疗流程来解构复杂系统的方法,以确定基本活动、它们是如何相互关联的以及出现的可变性,这可以增强或损害结果。了解 FRAM 在医疗保健中的应用方式可以帮助研究人员和决策者了解如何使用这种方法来加强医疗保健系统。

纳入标准

本范围综述包括在任何医疗保健环境中应用 FRAM 的研究和叙述报告。重点是确定用于描述 FRAM 的关键概念和定义;用于研究 FRAM 的研究问题、目的和目标;用于实施 FRAM 的方法;检查的医疗流程;以及主要发现。

方法

使用三步搜索策略在任何国家/地区搜索已发表和未发表的研究和叙述报告。仅考虑以英文发表的论文。对出版物年份没有限制。2020 年 6 月首次在 CINAHL、MEDLINE、Embase、PsycINFO、Inspec Engineering Village、ProQuest Nursing & Allied Health 中进行了搜索,并于 2021 年 3 月再次进行了搜索。2021 年 3 月还完成了对灰色文献的搜索。两位独立审查员使用审查员开发的数据提取工具从论文中提取数据。搜索结果以流程图形式总结,提取的数据以表格形式呈现。

结果

最终综述共纳入 31 篇论文,其中大部分(n=25;80.6%)提供了 FRAM 的描述或定义。只有两篇(n=2;6.5%)确定了特定的研究问题。其余的论文各自确定了应用 FRAM 的总体目标或目的,最常见的是了解医疗流程(n=20;64.5%)。确定了 11 种不同的数据收集方法,其中访谈最为常见(n=21;67.7%)。探讨了 10 种不同的医疗流程,其中安全和风险识别(n=8;25.8%)是最受关注的流程。主要发现确定 FRAM 是一种映射工具,可以识别流程的基本活动或功能(n=20;64.5%)、功能如何相互依存或耦合(n=18;58.1%)、流程中可能出现的可变性(n=20;64.5%)、实际工作与想象工作之间的差异(n=20;64.5%)、流程中存在的弹性(n=12;38.7%)以及流程中的风险点(n=10;32.3%)。大多数论文(n=27;87.1%)开发了代表流程复杂性的模型。

结论

FRAM 旨在使用系统方法来检查复杂流程,正如本次综述所示,它非常适合在医疗保健领域使用。对 FRAM 的兴趣正在增长,纳入的文献中大多数是在 2017 年之后发表的(n=24;77.4%)。FRAM 有可能提供对医疗保健工作如何完成以及如何提高效率、安全性和更好支持的全面了解。

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