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利用算法在家庭护理服务中的应用进行综合知识转化的经验教训:一项多案例研究。

Lessons on integrated knowledge translation through algorithm's utilization in homecare services: a multiple case study.

机构信息

Health Sciences Research Programs, Faculty of Medicine and Health Sciences, Université de Sherbrooke.

Research Centre on Aging, Centre Intégré Universitaire de Santé et de Services Sociaux (CIUSSS) de l'Estrie - Centre Hospitalier Universitaire de Sherbrooke (CHUS).

出版信息

JBI Evid Implement. 2021 Jun 1;19(4):419-436. doi: 10.1097/XEB.0000000000000286.

Abstract

AIM

Integrated knowledge translation (IKT) is an increasingly recommended collaborative approach to minimize knowledge translation gap. Still, few studies have documented the impact of IKT to optimize knowledge uptake in healthcare settings. An IKT-based clinical algorithm (Algo) was deployed in Quebec (Canada) homecare services to support skill mix for selecting bathing equipment for community-dwelling adults. The objective of this study was to document the characteristics related to Algo's IKT process.

METHODS

A multiple-case study with a nested concurrent mixed design was conducted in provincial homecare services. Based on Knott and Wildavsky's seven-stage classification and the integrated-Promoting Action on Research Implementation in Health Services model, Innovation, Recipients, and Context, characteristics related to Algo's levels of utilization were documented. Quantitative (electronic questionnaire) and qualitative (semistructured interviews and focus groups) data were collected for each case (i.e., homecare service). Descriptive statistics and thematic analysis were performed to describe each case through a mixed methods matrix, for intra/intercase analyses.

RESULTS

Knowledge translation characteristics of five Algo's levels of utilization were documented: reception, cognition, reference, effort, and impact. Innovation characteristics (e.g., underlying knowledge) were found to facilitate its dissemination and its use. However, the Recipients (e.g., unclear mechanisms to implement change) and Context (e.g., organizational mandates nonaligned with skill mix) characteristics hampered its application through intermediate and advanced levels of utilization.

CONCLUSION

The knowledge translation analysis of Algo allowed for documenting the IKT-based benefits in terms of utilization in healthcare settings. Although an IKT approach appears to be a strong facilitator for initiating the implementation process, additional characteristics should be considered for promoting and sustaining its use on local, organizational, and external levels of context. Facilitation strategies should document the administrative benefits related to Algo's utilization and contextualize it according to homecare services' characteristics.

摘要

目的

综合知识转化(IKT)是一种越来越被推荐的协作方法,可以最大限度地减少知识转化差距。尽管如此,很少有研究记录 IKT 对优化医疗保健环境中知识获取的影响。在魁北克(加拿大)家庭护理服务中,部署了一种基于 IKT 的临床算法(Algo),以支持技能组合,为社区居住的成年人选择沐浴设备。本研究的目的是记录与 Algo 的 IKT 过程相关的特征。

方法

在省级家庭护理服务中进行了一项具有嵌套并发混合设计的多案例研究。基于 Knott 和 Wildavsky 的七阶段分类和综合促进健康服务研究实施行动模型(创新、接受者和背景),记录了与 Algo 的利用水平相关的特征。对每个案例(即家庭护理服务)都收集了定量(电子问卷)和定性(半结构化访谈和焦点小组)数据。通过混合方法矩阵对每个案例进行描述性统计和主题分析,进行案例内/案例间分析。

结果

记录了 Algo 五个利用水平的知识转化特征:接收、认知、参考、努力和影响。创新特征(例如,基础知识)被发现有助于其传播和使用。然而,接受者(例如,实施变革的机制不明确)和背景(例如,组织任务与技能组合不一致)特征阻碍了其通过中级和高级利用水平的应用。

结论

Algo 的知识转化分析允许记录在医疗保健环境中利用方面的 IKT 基于的益处。尽管 IKT 方法似乎是启动实施过程的有力促进因素,但还应考虑其他特征,以促进和维持其在本地、组织和外部背景层面的使用。促进策略应记录与 Algo 利用相关的管理效益,并根据家庭护理服务的特点对其进行情境化处理。

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