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Inclusion of medication-related fall risk in fall risk assessment tool in geriatric care units

BACKGROUND: Falls are common undesirable events for older adults in institutions. Even though the patient’s fall risk may be scored on admission, the medication-induced fall risk may be ignored. This study developed a preliminary categorization of fall-risk-increasing drugs (FRIDs) to be added as a...

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Autores principales: Michalcova, Jana, Vasut, Karel, Airaksinen, Marja, Bielakova, Katarina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648375/
https://www.ncbi.nlm.nih.gov/pubmed/33158417
http://dx.doi.org/10.1186/s12877-020-01845-9
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author Michalcova, Jana
Vasut, Karel
Airaksinen, Marja
Bielakova, Katarina
author_facet Michalcova, Jana
Vasut, Karel
Airaksinen, Marja
Bielakova, Katarina
author_sort Michalcova, Jana
collection PubMed
description BACKGROUND: Falls are common undesirable events for older adults in institutions. Even though the patient’s fall risk may be scored on admission, the medication-induced fall risk may be ignored. This study developed a preliminary categorization of fall-risk-increasing drugs (FRIDs) to be added as a risk factor to the existing fall risk assessment tool routinely used in geriatric care units. METHODS: Medication use data of older adults who had experienced at least one fall during a hospital ward or a nursing home stay within a 2-year study period were retrospectively collected from patient records. Medicines used were classified into three risk categories (high, moderate and none) according to the fall risk information in statutory summaries of product characteristics (SmPCs). The fall risk categorization incorporated the relative frequency of such adverse drug effects (ADEs) in SmPCs that were known to be connected to fall risk (sedation, orthostatic hypotension, syncope, dizziness, drowsiness, changes in blood pressure or impaired balance). Also, distribution of fall risk scores assessed on admission without considering medications was counted. RESULTS: The fall-experienced patients (n = 188, 128 from the hospital and 60 from nursing home records) used altogether 1748 medicaments, including 216 different active substances. Of the active substances, 102 (47%) were categorized as high risk (category A) for increasing fall risk. Fall-experienced patients (n = 188) received a mean of 3.8 category A medicines (n = 710), 53% (n = 375) of which affected the nervous and 40% (n = 281) the cardiovascular system. Without considering medication-related fall risk, 53% (n = 100) of the patients were scored having a high fall risk (3 or 4 risk scores). CONCLUSION: It was possible to develop a preliminary categorization of FRIDs basing on their adverse drug effect profile in SmPCs and frequency of use in older patients who had experienced at least one documented fall in a geriatric care unit. Even though more than half of the fall-experienced study participants had high fall risk scores on admission, their fall risk might have been underestimated as use of high fall risk medicines was common, even concomitant use. Further studies are needed to develop the FRID categorization and assess its impact on fall risk.
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spelling pubmed-76483752020-11-09 Inclusion of medication-related fall risk in fall risk assessment tool in geriatric care units Michalcova, Jana Vasut, Karel Airaksinen, Marja Bielakova, Katarina BMC Geriatr Research Article BACKGROUND: Falls are common undesirable events for older adults in institutions. Even though the patient’s fall risk may be scored on admission, the medication-induced fall risk may be ignored. This study developed a preliminary categorization of fall-risk-increasing drugs (FRIDs) to be added as a risk factor to the existing fall risk assessment tool routinely used in geriatric care units. METHODS: Medication use data of older adults who had experienced at least one fall during a hospital ward or a nursing home stay within a 2-year study period were retrospectively collected from patient records. Medicines used were classified into three risk categories (high, moderate and none) according to the fall risk information in statutory summaries of product characteristics (SmPCs). The fall risk categorization incorporated the relative frequency of such adverse drug effects (ADEs) in SmPCs that were known to be connected to fall risk (sedation, orthostatic hypotension, syncope, dizziness, drowsiness, changes in blood pressure or impaired balance). Also, distribution of fall risk scores assessed on admission without considering medications was counted. RESULTS: The fall-experienced patients (n = 188, 128 from the hospital and 60 from nursing home records) used altogether 1748 medicaments, including 216 different active substances. Of the active substances, 102 (47%) were categorized as high risk (category A) for increasing fall risk. Fall-experienced patients (n = 188) received a mean of 3.8 category A medicines (n = 710), 53% (n = 375) of which affected the nervous and 40% (n = 281) the cardiovascular system. Without considering medication-related fall risk, 53% (n = 100) of the patients were scored having a high fall risk (3 or 4 risk scores). CONCLUSION: It was possible to develop a preliminary categorization of FRIDs basing on their adverse drug effect profile in SmPCs and frequency of use in older patients who had experienced at least one documented fall in a geriatric care unit. Even though more than half of the fall-experienced study participants had high fall risk scores on admission, their fall risk might have been underestimated as use of high fall risk medicines was common, even concomitant use. Further studies are needed to develop the FRID categorization and assess its impact on fall risk. BioMed Central 2020-11-06 /pmc/articles/PMC7648375/ /pubmed/33158417 http://dx.doi.org/10.1186/s12877-020-01845-9 Text en © The Author(s) 2020 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/. 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 in a credit line to the data.
spellingShingle Research Article
Michalcova, Jana
Vasut, Karel
Airaksinen, Marja
Bielakova, Katarina
Inclusion of medication-related fall risk in fall risk assessment tool in geriatric care units
title Inclusion of medication-related fall risk in fall risk assessment tool in geriatric care units
title_full Inclusion of medication-related fall risk in fall risk assessment tool in geriatric care units
title_fullStr Inclusion of medication-related fall risk in fall risk assessment tool in geriatric care units
title_full_unstemmed Inclusion of medication-related fall risk in fall risk assessment tool in geriatric care units
title_short Inclusion of medication-related fall risk in fall risk assessment tool in geriatric care units
title_sort inclusion of medication-related fall risk in fall risk assessment tool in geriatric care units
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648375/
https://www.ncbi.nlm.nih.gov/pubmed/33158417
http://dx.doi.org/10.1186/s12877-020-01845-9
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