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Balancing workload of nurses: Linear mixed effects modelling to estimate required nursing time on surgical wards

AIM: Quantifying the relation between patient characteristics and care time and explaining differences in nursing time between wards. DESIGN: Academic hospital in the Netherlands. Six surgical wards, capacity 15–30 beds, 2012–2014. METHODS: Linear mixed effects model to study the relation between pa...

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Detalles Bibliográficos
Autores principales: van den Oetelaar, Wilhelmina Francisca Johanna Maria, van Rhenen, Willem, Stellato, Rebecca K., Grolman, Wilko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6917947/
https://www.ncbi.nlm.nih.gov/pubmed/31871707
http://dx.doi.org/10.1002/nop2.385
Descripción
Sumario:AIM: Quantifying the relation between patient characteristics and care time and explaining differences in nursing time between wards. DESIGN: Academic hospital in the Netherlands. Six surgical wards, capacity 15–30 beds, 2012–2014. METHODS: Linear mixed effects model to study the relation between patient characteristics and care time. Estimated marginal means to estimate baseline care time and differences between wards. RESULTS: Nine patient characteristics significantly related to care time. Most required between 18 and 35 min extra, except “two or more IV/drip/drain” (8) and “one‐on‐one care” (156). Care time for minimum patient profile: 44–57 min and for average patient profile: 75–88 min. Sources of variation: nurse proficiency, patients, day‐to‐day variation within patients. The set of characteristics is short, simple and useful for planning and comparing workload. Explained variance up to 36%. Calculating estimated means per ward has not been done before. Nurse proficiency is an important factor.