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Improving the pragmatic usefulness of the scoring matrix for the Consolidated Framework for Implementation Research (CFIR). A proposal for a more frequency-based approach: The CFIR-f.
PLOS ONE ( IF 3.7 ) Pub Date : 2023-11-30 , DOI: 10.1371/journal.pone.0295204
George Economidis 1 , Anne-Marie Eades 2 , Anthony Shakeshaft 1, 3 , Sara Farnbach 1
Affiliation  

The Consolidated Framework for Implementation Research (CFIR) is a well-established framework for systematically identifying key factors influencing the implementation of programs. To enhance the classification of existing CFIR definitions, as well as its +2/-2 scoring system, this study incorporated the views of relevant experts to: i) improve how themes are scored; and ii) utilise more information regarding the frequency with which themes are identified. This structured, frequency-based approach to the CFIR's scoring process has been trialled as the CFIR-frequency (CFIR-f). Researchers thematically analysed semi-structured interview data from four groups of policy and program experts (N = 24) delivering two family-based therapies in New South Wales (NSW), Australia. Themes identified by less than 50% were excluded from further analysis. Themes identified by 50% or more of expert participants in the four groups were classified as enablers or barriers using clearly defined criteria. Each theme was allocated a score according to how many experts identified it as an enabler or barrier, and then mapped back onto the latest adaptation of the CFIR comprising 67 constructs. The CFIR-f successfully determined three enablers of, and six barriers to, implementation. Enablers included the family-based therapy programs, therapist training and participant monitoring systems. Barriers included referral, data collection and staffing difficulties, NSW adaptation issues and the suitability and safety of the programs for Aboriginal families. The same enablers and barriers were identified using both the CFIR-f and the original scoring approach, and the identified themes were successfully mapped to almost all CFIR constructs (65/67). This paper proposes a more frequency-based approach to CFIR's scoring process (the CFIR-f). By specifically utilising the frequency with which these barriers and enablers are identified, the CFIR-f engenders a list of ranked themes that service providers and policymakers can use to inform their decisions about program modification and implementation.

中文翻译:

提高实施研究综合框架(CFIR)评分矩阵的实用性。关于更加基于频率的方法的提案:CFIR-f。

实施研究综合框架(CFIR)是一个完善的框架,用于系统地识别影响项目实施的关键因素。为了加强现有CFIR定义的分类及其+2/-2评分系统,本研究吸收了相关专家的观点,以:i)改进主题的评分方式;ii) 利用更多有关确定主题的频率的信息。这种基于频率的结构化 CFIR 评分过程方法已作为 CFIR 频率 (CFIR-f) 进行了试验。研究人员对来自四组政策和项目专家(N = 24)的半结构化访谈数据进行了主题分析,这些专家在澳大利亚新南威尔士州提供两种基于家庭的疗法。少于 50% 的主题被排除在进一步分析之外。四组中 50% 或更多的专家参与者确定的主题被使用明确定义的标准分类为推动因素或障碍。每个主题根据有多少专家将其识别为推动者或障碍来分配分数,然后映射回由 67 个结构组成的 CFIR 的最新改编。CFIR-f 成功确定了实施的三个推动因素和六个障碍。推动因素包括以家庭为基础的治疗计划、治疗师培训和参与者监测系统。障碍包括转介、数据收集和人员配备困难、新南威尔士州适应问题以及原住民家庭计划的适用性和安全性。使用 CFIR-f 和原始评分方法确定了相同的推动因素和障碍,并且确定的主题成功映射到几乎所有 CFIR 结构 (65/67)。本文提出了一种更加基于频率的 CFIR 评分过程方法(CFIR-f)。通过专门利用识别这些障碍和推动因素的频率,CFIR-f 生成了一份排名主题列表,服务提供商和政策制定者可以使用这些主题来为他们有关计划修改和实施的决策提供信息。
更新日期:2023-11-30
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