Erschienen in:
08.12.2017 | Original Research Article
Drug Burden and its Association with Falls Among Older Adults in New Zealand: A National Population Cross-Sectional Study
verfasst von:
Hamish A. Jamieson, Prasad S. Nishtala, Richard Scrase, Joanne M. Deely, Rebecca Abey-Nesbit, Martin J. Connolly, Sarah N. Hilmer, Darrell R. Abernethy, Philip J. Schluter
Erschienen in:
Drugs & Aging
|
Ausgabe 1/2018
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Abstract
Background
Adverse outcomes associated with advanced diseases are often exacerbated by polypharmacy.
Objectives
The current study investigated an association between exposure to anticholinergic and sedative medicines and falls in community-dwelling older people, after controlling for potential confounders.
Methods
We conducted a retrospective cross-sectional study of a continuously recruited national cohort of community-dwelling New Zealanders aged 65 years and over. Participants had an International Resident Assessment Instrument–Home Care (interRAI-HC) assessment between 1 September 2012 and 31 January 2016. InterRAI-HC is a comprehensive, multi-domain, standardised assessment. This study captured 18 variables, including fall frequency, from the interRAI. These data were deterministically matched with the Drug Burden Index (DBI) for each participant, derived from an anonymised national dispensed pharmaceuticals database. DBI groupings were statistically ascertained, and ordinal regression models employed.
Results
Overall, there were 71,856 participants, with a mean age of 82.7 years (range 65–106); 43,802 (61.0%) were female, and 63,578 (88.5%) were New Zealand European. In unadjusted and adjusted analyses, DBI groupings were related to falls (p < 0.001). A DBI score > 3 was associated with a 41% increase in falls compared with a DBI score of 0 (p < 0.001). There was a ‘dose-response’ relationship between DBI levels and falls risk.
Conclusions
DBI was found to be independently and positively associated with a greater risk of falls in this cohort after adjustment for 18 known confounders. We suggest that the DBI could be a valuable tool for clinicians to use alongside electronic prescribing to help reduce falls in older people.