Strengthening quality of care in partnership with long-term care facilities: Protocol of the Swiss National Implementation Programme NIP-Q-UPGRADE.

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...

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Bibliographic Details
Published in:Inquiry (00469580) Vol. 62; pp. 1 - 11
Main Authors: 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
Format: Article
Published: Sage Publications Inc. 5/22/2025
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Online Access:View this record in EBSCOhost
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Summary: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.