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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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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 |
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author | van den Oetelaar, Wilhelmina Francisca Johanna Maria van Rhenen, Willem Stellato, Rebecca K. Grolman, Wilko |
author_facet | van den Oetelaar, Wilhelmina Francisca Johanna Maria van Rhenen, Willem Stellato, Rebecca K. Grolman, Wilko |
author_sort | van den Oetelaar, Wilhelmina Francisca Johanna Maria |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6917947 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69179472019-12-23 Balancing workload of nurses: Linear mixed effects modelling to estimate required nursing time on surgical wards van den Oetelaar, Wilhelmina Francisca Johanna Maria van Rhenen, Willem Stellato, Rebecca K. Grolman, Wilko Nurs Open Research Articles 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. John Wiley and Sons Inc. 2019-11-16 /pmc/articles/PMC6917947/ /pubmed/31871707 http://dx.doi.org/10.1002/nop2.385 Text en © 2019 The Authors. Nursing Open published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles van den Oetelaar, Wilhelmina Francisca Johanna Maria van Rhenen, Willem Stellato, Rebecca K. Grolman, Wilko Balancing workload of nurses: Linear mixed effects modelling to estimate required nursing time on surgical wards |
title | Balancing workload of nurses: Linear mixed effects modelling to estimate required nursing time on surgical wards |
title_full | Balancing workload of nurses: Linear mixed effects modelling to estimate required nursing time on surgical wards |
title_fullStr | Balancing workload of nurses: Linear mixed effects modelling to estimate required nursing time on surgical wards |
title_full_unstemmed | Balancing workload of nurses: Linear mixed effects modelling to estimate required nursing time on surgical wards |
title_short | Balancing workload of nurses: Linear mixed effects modelling to estimate required nursing time on surgical wards |
title_sort | balancing workload of nurses: linear mixed effects modelling to estimate required nursing time on surgical wards |
topic | Research Articles |
url | 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 |
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