Balancing workload of nurses: Linear mixed effects modelling to estimate required nursing time on surgical wards
Abstract 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 betw...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Nursing Open |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/nop2.385 |
| _version_ | 1819156235295916032 |
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| author | Wilhelmina Francisca Johanna Maria van denOetelaar Willem vanRhenen Rebecca K. Stellato Wilko Grolman |
| author_facet | Wilhelmina Francisca Johanna Maria van denOetelaar Willem vanRhenen Rebecca K. Stellato Wilko Grolman |
| author_sort | Wilhelmina Francisca Johanna Maria van denOetelaar |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-12-22T15:49:39Z |
| format | Article |
| id | doaj.art-7cf791f2391f403698ba74e541d69623 |
| institution | Directory Open Access Journal |
| issn | 2054-1058 |
| language | English |
| last_indexed | 2024-12-22T15:49:39Z |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Nursing Open |
| spelling | doaj.art-7cf791f2391f403698ba74e541d696232022-12-21T18:20:56ZengWileyNursing Open2054-10582020-01-017123524510.1002/nop2.385Balancing workload of nurses: Linear mixed effects modelling to estimate required nursing time on surgical wardsWilhelmina Francisca Johanna Maria van denOetelaar0Willem vanRhenen1Rebecca K. Stellato2Wilko Grolman3University Medical Center Utrecht University of Utrecht Utrecht The NetherlandsCenter for Human Resource Organization and Management Effectiveness Business University Nyenrode Breukelen The NetherlandsUniversity Medical Center Utrecht University of Utrecht Utrecht The NetherlandsUniversity Medical Center Utrecht University of Utrecht Utrecht The NetherlandsAbstract 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.https://doi.org/10.1002/nop2.385nurse staffingnurse workloadpatient characteristicspatient classificationworkload management |
| spellingShingle | Wilhelmina Francisca Johanna Maria van denOetelaar Willem vanRhenen Rebecca K. Stellato Wilko Grolman Balancing workload of nurses: Linear mixed effects modelling to estimate required nursing time on surgical wards Nursing Open nurse staffing nurse workload patient characteristics patient classification workload management |
| 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 | nurse staffing nurse workload patient characteristics patient classification workload management |
| url | https://doi.org/10.1002/nop2.385 |
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