Curreri Nereide A, Corna Laurie, Poncin Emmanuelle, Van Grootven Bastiaan, Huang Jianan, Osinska Magda, Sibilio Serena, Kästner Lisa, Thuillard Simon, Vittoz Lucie, Baumann Sonja, Benkert Brigitte, Rüttimann Angelika, Brambilla Anna, Cafaro Gabriela, Wellens Nathalie, Zúñiga Franziska
Applied University of Sciences and Arts of Southern Switzerland, (SUPSI), Manno, Switzerland.
University of Applied Sciences Western Switzerland, Lausanne, Switzerland.
Inquiry. 2025 Jan-Dec;62:469580251328101. doi: 10.1177/00469580251328101. Epub 2025 May 22.
Quality improvement is essential in long-term care for older adults. Reporting medical quality indicators (MQI) is commonplace, but the impact on care quality improvement remains uncertain. This paper presents the Swiss National Implementation Programme - Strengthening Quality of Care in Partnership with Residential Long-Term Care Facilities (LTCF) for Older People (NIP-Q-UPGRADE), that aims to develop quality in Swiss long-term care facilities (LTCFs) by (1) strengthening robustness of MQI data, (2) supporting LTCFs in data-driven quality improvement, (3) introducing further quality indicators. The protocol for implementing the programme is outlined by work package and specific sub-aims. NIP-Q-UPGRADE is grounded in implementation science principles, using EPIS (exploration, preparation, implementation, sustainment) as a process framework and the Consolidated Framework for Implementation Research (CFIR) for its contextual analyses, and it has a strong participatory approach. Sub-studies focus on understanding current context, leveraging expertise, developing and piloting actionable intervention bundles with corresponding strategies, and preparing a national scale-up. Methodologies include literature reviews, ethnographic research, international case studies, intervention mapping, online-surveys, participatory workshops as well as pragmatic trials. At the end of NIP-Q-UPGRADE, we expect to have intervention bundles ready to improve data quality and foster data-driven quality improvement in LTCFs and to have the field prepared with corresponding implementation strategies so that national and regional LTC organizations can plan and monitor the scale-up. NIP-Q-UPGRADE will implement strategies and inform policies for sustainable, data-driven quality development. Results will inform national quality improvement implementation applicable to global LTC policies and practices.
质量改进对于老年人的长期护理至关重要。报告医疗质量指标（MQI）很常见，但对护理质量改进的影响仍不确定。本文介绍了瑞士国家实施计划——与老年人住宅长期护理机构（LTCF）合作加强护理质量（NIP-Q-UPGRADE），该计划旨在通过以下方式提高瑞士长期护理机构（LTCF）的质量：（1）加强MQI数据的稳健性，（2）支持LTCF进行数据驱动的质量改进，（3）引入更多质量指标。该计划的实施协议按工作包和具体子目标进行了概述。NIP-Q-UPGRADE以实施科学原则为基础，使用EPIS（探索、准备、实施、维持）作为过程框架，并使用实施研究综合框架（CFIR）进行背景分析，且具有很强的参与性方法。子研究专注于了解当前背景、利用专业知识、开发并试点具有相应策略的可操作干预包，以及准备全国范围的推广。方法包括文献综述、人种学研究、国际案例研究、干预映射、在线调查、参与式研讨会以及务实试验。在NIP-Q-UPGRADE结束时，我们期望准备好干预包，以提高LTCF中的数据质量并促进数据驱动的质量改进，并准备好相应的实施策略，以便国家和地区的LTC组织能够规划和监测推广情况。NIP-Q-UPGRADE将实施策略并为可持续的数据驱动质量发展提供政策依据。结果将为适用于全球LTC政策和实践的国家质量改进实施提供参考。
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