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Validation of nursing documentation regarding in-hospital falls: a cohort study
BACKGROUND: In-hospital fall incidents are common and sensitive to nursing care. It is therefore important to have easy access to valid patient data to evaluate and follow-up nursing care. The aim of the study was to validate the nursing documentation, using a specific term in the registered nurses´...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8034134/ https://www.ncbi.nlm.nih.gov/pubmed/33836734 http://dx.doi.org/10.1186/s12912-021-00577-4 |
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author | Krakau, Karolina Andersson, Helene Dahlin, Åsa Franzén Egberg, Louise Sterner, Eila Unbeck, Maria |
author_facet | Krakau, Karolina Andersson, Helene Dahlin, Åsa Franzén Egberg, Louise Sterner, Eila Unbeck, Maria |
author_sort | Krakau, Karolina |
collection | PubMed |
description | BACKGROUND: In-hospital fall incidents are common and sensitive to nursing care. It is therefore important to have easy access to valid patient data to evaluate and follow-up nursing care. The aim of the study was to validate the nursing documentation, using a specific term in the registered nurses´ (RNs´) discharge note, regarding inpatient falls according to the outcome of a digitalized data extraction tool and the discharge note itself. METHODS: At a teaching hospital, 31,571 episodes of care were eligible for inclusion in this retrospective cohort study. A stratified sampling including five groups was used, two with random sampling and three with total sampling. In total, 1232 episodes of care were reviewed in the electronic patient record using a study-specific protocol. Descriptive statistics were used. RESULTS: In total, 590 episodes of care in the study cohort included 714 falls. When adjusted for the stratified sampling the cumulative incidence for the study population was 1.9%. The positive predictive value in total for the data extraction tool regarding the presence of any fall, in comparison with the record review, was 87.4%. Discrepancies found were, for example, that the RNs, at discharge, stated that the patient had fallen but no documented evidence of that could be detected during admission. It could also be the opposite, that the RNs correctly had documented that no fall had occurred, but the data extraction tool made an incorrect selection. When the latter had been withdrawn, the positive predictive value was 91.5%. Information about minor injuries due to the fall was less accurate. In the group where RNs had stated that the patient had fallen without injury, minor injuries had actually occurred in 28.3% of the episodes of care. CONCLUSIONS: The use of a specific term regarding fall in the RNs´ discharge note seems to be a valid and reliable data measurement and can be used continuously to evaluate and follow-up nursing care. |
format | Online Article Text |
id | pubmed-8034134 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-80341342021-04-12 Validation of nursing documentation regarding in-hospital falls: a cohort study Krakau, Karolina Andersson, Helene Dahlin, Åsa Franzén Egberg, Louise Sterner, Eila Unbeck, Maria BMC Nurs Research Article BACKGROUND: In-hospital fall incidents are common and sensitive to nursing care. It is therefore important to have easy access to valid patient data to evaluate and follow-up nursing care. The aim of the study was to validate the nursing documentation, using a specific term in the registered nurses´ (RNs´) discharge note, regarding inpatient falls according to the outcome of a digitalized data extraction tool and the discharge note itself. METHODS: At a teaching hospital, 31,571 episodes of care were eligible for inclusion in this retrospective cohort study. A stratified sampling including five groups was used, two with random sampling and three with total sampling. In total, 1232 episodes of care were reviewed in the electronic patient record using a study-specific protocol. Descriptive statistics were used. RESULTS: In total, 590 episodes of care in the study cohort included 714 falls. When adjusted for the stratified sampling the cumulative incidence for the study population was 1.9%. The positive predictive value in total for the data extraction tool regarding the presence of any fall, in comparison with the record review, was 87.4%. Discrepancies found were, for example, that the RNs, at discharge, stated that the patient had fallen but no documented evidence of that could be detected during admission. It could also be the opposite, that the RNs correctly had documented that no fall had occurred, but the data extraction tool made an incorrect selection. When the latter had been withdrawn, the positive predictive value was 91.5%. Information about minor injuries due to the fall was less accurate. In the group where RNs had stated that the patient had fallen without injury, minor injuries had actually occurred in 28.3% of the episodes of care. CONCLUSIONS: The use of a specific term regarding fall in the RNs´ discharge note seems to be a valid and reliable data measurement and can be used continuously to evaluate and follow-up nursing care. BioMed Central 2021-04-09 /pmc/articles/PMC8034134/ /pubmed/33836734 http://dx.doi.org/10.1186/s12912-021-00577-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Krakau, Karolina Andersson, Helene Dahlin, Åsa Franzén Egberg, Louise Sterner, Eila Unbeck, Maria Validation of nursing documentation regarding in-hospital falls: a cohort study |
title | Validation of nursing documentation regarding in-hospital falls: a cohort study |
title_full | Validation of nursing documentation regarding in-hospital falls: a cohort study |
title_fullStr | Validation of nursing documentation regarding in-hospital falls: a cohort study |
title_full_unstemmed | Validation of nursing documentation regarding in-hospital falls: a cohort study |
title_short | Validation of nursing documentation regarding in-hospital falls: a cohort study |
title_sort | validation of nursing documentation regarding in-hospital falls: a cohort study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8034134/ https://www.ncbi.nlm.nih.gov/pubmed/33836734 http://dx.doi.org/10.1186/s12912-021-00577-4 |
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