Inclusion of medication-related fall risk in fall risk assessment tool in geriatric care units
Jazyk angličtina Země Anglie, Velká Británie Médium electronic
Typ dokumentu časopisecké články
PubMed
33158417
PubMed Central
PMC7648375
DOI
10.1186/s12877-020-01845-9
PII: 10.1186/s12877-020-01845-9
Knihovny.cz E-zdroje
- Klíčová slova
- Fall risk, Hospital, Medication, Nursing home, Older adults, Preventive risk management,
- MeSH
- geriatrické hodnocení MeSH
- hodnocení rizik MeSH
- lidé MeSH
- nežádoucí účinky léčiv * diagnóza epidemiologie MeSH
- pečovatelské domovy MeSH
- retrospektivní studie MeSH
- rizikové faktory MeSH
- senioři MeSH
- úrazy pádem * MeSH
- Check Tag
- lidé MeSH
- senioři MeSH
- Publikační typ
- časopisecké články MeSH
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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