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一种用于为标准选择实施工具和行动的数字支持干预措施(SITAS)的协同设计。

The co-design of a digitally supported intervention for selecting implementation tools and actions for standards (SITAS).

作者信息

Kelly Yvonne, O'Rourke Niamh, Hegarty Josephine, Gannon Judy, Flynn Rachel, Keyes Laura M

机构信息

Health Information and Standards Directorate, Health Information and Quality Authority, Citygate, Mahon, Cork, Ireland.

Health Information and Standards Directorate, Health Information and Quality Authority, George's Court, George's Lane, Dublin 7, Ireland.

出版信息

BMC Health Serv Res. 2024 Dec 18;24(1):1582. doi: 10.1186/s12913-024-12075-9.

Abstract

BACKGROUND

Health and social care standards are multi-faceted interventions that promote quality and safe care in health systems. There is a need to apply evidence-based, rigorous and transparent methods when selecting strategies to support the implementation of standards. We aimed to develop an evidence- and theory-informed intervention to guide researchers in identifying appropriate implementation strategies and then selecting tailored support tools and actions for use when implementing a set of standards.

METHODS

Our intervention is a digital tool entitled 'Selecting Implementation Tools and Actions for Standards (SITAS).' The Medical Research Council Framework for Developing and Evaluating Complex Interventions guided the design of SITAS. Co-design of SITAS, using a multi-stage and multi-methods approach included developing programme theory; identifying and prioritising enablers and barriers to implementing standards; identifying the best fit implementation framework using the Theory Comparison and Selection Tool; mapping enablers and barriers to the Consolidated Framework for Implementation Research (CFIR); identifying matching implementation strategies using the CFIR-ERIC (Expert Recommendations for Implementing Change) matching tool; mapping enablers and barriers to the Behaviour Change Wheel (BCW). The enablers and barriers, outputs from the CFIR-ERIC matching tool and the BCW were used to develop a prototype of the content and interactive logic within a digital tool. The prototype was refined following feedback from intended users (n = 7) at three design workshops.

RESULTS

Programme theory was developed and refined following feedback from intended users of SITAS. Twenty-three enablers and barriers were prioritised. CFIR was identified as the best fit framework with the majority of enablers and barriers (n = 15) mapped to the 'Inner Setting' domain. 'Conduct educational meetings' was the most common strategy retrieved using the CFIR-ERIC matching tool. 'Physical opportunity' was the component of the BCW with the most enablers and barriers (n = 8). A prototype of SITAS was designed in Microsoft Excel based on the aforementioned steps. Workshops with intended users provided key insights about the content, functionality and user experience for SITAS which resulted in refinements to SITAS.

CONCLUSION

We developed a practical intervention enhanced by user involvement. SITAS guides users through the process of selecting and tailoring implementation strategies to specific contexts, using core concepts of implementation science. SITAS will need to undergo formal piloting before spread and scale-up.

摘要

背景

卫生与社会保健标准是多方面的干预措施,旨在促进卫生系统中的优质和安全护理。在选择支持标准实施的策略时,需要采用基于证据、严谨且透明的方法。我们旨在开发一种基于证据和理论的干预措施,以指导研究人员确定合适的实施策略,然后选择量身定制的支持工具和行动,用于实施一套标准。

方法

我们的干预措施是一个名为“标准实施工具与行动选择(SITAS)”的数字工具。医学研究理事会开发和评估复杂干预措施的框架指导了SITAS的设计。SITAS的共同设计采用多阶段、多方法的方法,包括制定项目理论;确定实施标准的促进因素和障碍并对其进行优先级排序;使用理论比较与选择工具确定最合适的实施框架;将促进因素和障碍映射到实施研究综合框架(CFIR);使用CFIR-ERIC(实施变革专家建议)匹配工具确定匹配的实施策略;将促进因素和障碍映射到行为改变轮(BCW)。CFIR-ERIC匹配工具和BCW的促进因素和障碍、输出结果被用于开发数字工具中内容和交互逻辑的原型。在三次设计研讨会上,根据目标用户(n = 7)的反馈对原型进行了完善。

结果

根据SITAS目标用户的反馈,制定并完善了项目理论。确定了23个优先考虑的促进因素和障碍。CFIR被确定为最合适的框架,大多数促进因素和障碍(n = 15)映射到“内部环境”领域。“召开教育会议”是使用CFIR-ERIC匹配工具检索到的最常见策略。“物质机会”是BCW中促进因素和障碍最多的组成部分(n = 8)。基于上述步骤,在Microsoft Excel中设计了SITAS的原型。与目标用户的研讨会提供了关于SITAS的内容、功能和用户体验的关键见解,从而对SITAS进行了完善。

结论

我们开发了一种通过用户参与得到增强的实用干预措施。SITAS使用实施科学的核心概念,指导用户完成针对特定背景选择和定制实施策略的过程。SITAS在推广和扩大规模之前需要进行正式试点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b03/11653654/a5b7790f8a3f/12913_2024_12075_Fig1_HTML.jpg

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