Artikel
Nursing-sensitive events and the association with individual patient levels nurse staffing – a study protocol
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Autoren
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Stefanie Bachnick
- Hochschule für Gesundheit, Bochum, Germany
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Michael Simon
- Faculty of Medicine, University of Basel, Switzerland; Nursing Research Unit at the Inselspital Bern, Switzerland
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Maria Unbeck
- School of Education, Health and Social Studies, Dalarna University, Falun, Sweden; Department of Neurobiology Care Science and Scociety, Karolinska Institut, Huddinge, Sweden
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Suzanne Dhaini
- Institute of Nursing Science, Department Public Health, Faculty of Medicine, University of Basel, Switzerland
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Maryam Ahmadishad
- Kashan University of Medical Science and Health Services, Iran
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Jana Bartáková
- Institute of Nursing Science, Department of Public Health, Faculty of Medicine, University of Basel, Switzerland
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Kathrin Müller
- Department of Nursing Science, Hochschule für Gesundheit, University of Applied Sciences, Bochum, Germany
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Daniela Holle
- Department of Nursing Science, Hochschule für Gesundheit, University of Applied Sciences, Bochum, Germany
| Veröffentlicht: | 5. Juli 2021 |
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Gliederung
Text
Background: Nursing-sensitive events (NSEs) are common among hospitalized patients reaching up to 75%, resulting in increased patient burden and higher medical costs through additional medical procedures and longer length of stay. Especially older patients with high level of co-morbidity, frailty and cognitive impairment are particularly at risk. To reduce NSEs, appropriate nurse staffing levels are needed.
Objectives: The overall aim of the TAILR.DE project (Nursing-sensiTive events and the Association with Individual patient Levels nuRse staffing) is to examine the association between NSEs and individual nurse staffing levels in German hospitals.
Design and methods: TAILR.DE is a 3-year multicentre, longitudinal observational study with a participatory research design that is part of the international TAILR project (TAILR.INT). Patient records and nurse staffing data from medical, surgical or mixed units in four German hospitals will be used. For each hospital, four units with 60 patients each will be included, with staffing assessments for each unit and shift.
Results: For each hospital and on an aggregated level (i) frequency, severity, preventability, and types of NSEs, (ii) individual patient-level nurse staffing, (iii) the association between NSEs and nurse staffing and (iv) thresholds of safe nurse staffing levels will be explored.
Conclusions: TAILR.DE will generate sensitive and high-quality data on nurse staffing and NSEs in a multi-centre study. Moreover, TAILR.INT will provide important building blocks to address and overcome a critical patient safety issue that have been described in the literature, i.e., the lack of staffing guidance in national health policy and at the local organizational level.
Funding: This project is funded by the German Federal Ministry of Education and Research (BMBF).
