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Fall risk as a function of time after admission to sub-acute geriatric hospital units
BACKGROUND: There is evidence about time-dependent fracture rates in different settings and situations. Lacking are data about underlying time-dependent fall risk patterns. The objective of the study was to analyse fall rates as a function of time after admission to sub-acute hospital units and to e...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054540/ https://www.ncbi.nlm.nih.gov/pubmed/27717326 http://dx.doi.org/10.1186/s12877-016-0346-7 |
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author | Rapp, Kilian Ravindren, Johannes Becker, Clemens Lindemann, Ulrich Jaensch, Andrea Klenk, Jochen |
author_facet | Rapp, Kilian Ravindren, Johannes Becker, Clemens Lindemann, Ulrich Jaensch, Andrea Klenk, Jochen |
author_sort | Rapp, Kilian |
collection | PubMed |
description | BACKGROUND: There is evidence about time-dependent fracture rates in different settings and situations. Lacking are data about underlying time-dependent fall risk patterns. The objective of the study was to analyse fall rates as a function of time after admission to sub-acute hospital units and to evaluate the time-dependent impact of clinical factors at baseline on fall risk. METHODS: This retrospective cohort study used data of 5,255 patients admitted to sub-acute units in a geriatric rehabilitation clinic in Germany between 2010 and 2014. Falls, personal characteristics and functional status at admission were extracted from the hospital information system. The rehabilitation stay was divided in 3-day time-intervals. The fall rate was calculated for each time-interval in all patients combined and in subgroups of patients. To analyse the influence of covariates on fall risk over time multivariate negative binomial regression models were applied for each of 5 time-intervals. RESULTS: The overall fall rate was 10.2 falls/1,000 person-days with highest fall risks during the first week and decreasing risks within the following weeks. A particularly pronounced risk pattern with high fall risks during the first days and decreasing risks thereafter was observed in men, disoriented people, and people with a low functional status or impaired cognition. In disoriented patients, for example, the fall rate decreased from 24.6 falls/1,000 person-days in day 2–4 to about 13 falls/1,000 person-days 2 weeks later. The incidence rate ratio of baseline characteristics changed also over time. CONCLUSIONS: Fall risk differs considerably over time during sub-acute hospitalisation. The strongest association between time and fall risk was observed in functionally limited patients with high risks during the first days after admission and declining risks thereafter. This should be considered in the planning and application of fall prevention measures. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12877-016-0346-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5054540 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-50545402016-10-19 Fall risk as a function of time after admission to sub-acute geriatric hospital units Rapp, Kilian Ravindren, Johannes Becker, Clemens Lindemann, Ulrich Jaensch, Andrea Klenk, Jochen BMC Geriatr Research Article BACKGROUND: There is evidence about time-dependent fracture rates in different settings and situations. Lacking are data about underlying time-dependent fall risk patterns. The objective of the study was to analyse fall rates as a function of time after admission to sub-acute hospital units and to evaluate the time-dependent impact of clinical factors at baseline on fall risk. METHODS: This retrospective cohort study used data of 5,255 patients admitted to sub-acute units in a geriatric rehabilitation clinic in Germany between 2010 and 2014. Falls, personal characteristics and functional status at admission were extracted from the hospital information system. The rehabilitation stay was divided in 3-day time-intervals. The fall rate was calculated for each time-interval in all patients combined and in subgroups of patients. To analyse the influence of covariates on fall risk over time multivariate negative binomial regression models were applied for each of 5 time-intervals. RESULTS: The overall fall rate was 10.2 falls/1,000 person-days with highest fall risks during the first week and decreasing risks within the following weeks. A particularly pronounced risk pattern with high fall risks during the first days and decreasing risks thereafter was observed in men, disoriented people, and people with a low functional status or impaired cognition. In disoriented patients, for example, the fall rate decreased from 24.6 falls/1,000 person-days in day 2–4 to about 13 falls/1,000 person-days 2 weeks later. The incidence rate ratio of baseline characteristics changed also over time. CONCLUSIONS: Fall risk differs considerably over time during sub-acute hospitalisation. The strongest association between time and fall risk was observed in functionally limited patients with high risks during the first days after admission and declining risks thereafter. This should be considered in the planning and application of fall prevention measures. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12877-016-0346-7) contains supplementary material, which is available to authorized users. BioMed Central 2016-10-07 /pmc/articles/PMC5054540/ /pubmed/27717326 http://dx.doi.org/10.1186/s12877-016-0346-7 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Rapp, Kilian Ravindren, Johannes Becker, Clemens Lindemann, Ulrich Jaensch, Andrea Klenk, Jochen Fall risk as a function of time after admission to sub-acute geriatric hospital units |
title | Fall risk as a function of time after admission to sub-acute geriatric hospital units |
title_full | Fall risk as a function of time after admission to sub-acute geriatric hospital units |
title_fullStr | Fall risk as a function of time after admission to sub-acute geriatric hospital units |
title_full_unstemmed | Fall risk as a function of time after admission to sub-acute geriatric hospital units |
title_short | Fall risk as a function of time after admission to sub-acute geriatric hospital units |
title_sort | fall risk as a function of time after admission to sub-acute geriatric hospital units |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054540/ https://www.ncbi.nlm.nih.gov/pubmed/27717326 http://dx.doi.org/10.1186/s12877-016-0346-7 |
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