Multiple medication use in the elderly. Use of prescription and non-prescription drugs in an Australian community setting
Simons, L.A.; Tett, S.; Simons, J.; Lauchlan, R.; McCallum, J.; Friedlander, Y.; Powell, I.
Medical Journal of Australia 157(4): 242-246
1992
ISSN/ISBN: 0025-729X PMID: 1435439 Document Number: 399157
Objective: To document the extent of polypharmacy or multiple medication use in the elderly. Design: Cross-sectional examination of an age cohort of a community. Setting: Community-based study in Dubbo, NSW, in 1988-1989. Subjects: All non-institutionalised residents aged 60 years and over, numbering 1237 men and 1568 women. Main outcome measures: Assessment of use of prescription and non-prescription drugs, recent hospitalisation, years of education, psychosocial variables. Results: 18% of men and 25% of women were currently using three or more classes of prescription drugs. The corresponding values for two or more classes of non-prescription drugs were 29% and 44%. Of those who were using multiple prescription drugs 56% of men and 76% of women were also using multiple non-prescription drugs. In a multiple logistic model, the following possible predictors of multiple drug use were included: hospitalisation in the last six months, age, sex, depression, life satisfaction and education. Multiple prescription drug use was significantly predicted by recent hospitalisation (odds ratio (OR) = 2.40; 95% confidence interval (CI), 1.63-3.56), increasing age (e.g. 70-79 years versus 60-69 years; OR=2.54; CI, 1.97-3.25), female sex (OR=1.59; CI, 1.25-2.01) and increasing depression (e.g. highest tertile of depression scale versus lowest; OR=2.52; CI, 1.84-3.42). Multiple non-prescription drug use was significantly predicated by female sex (OR=2.38; CI, 1.95-2.92) and increasing depression (OR=2.77; CI 2.16-3.56). For prescription items, non-prescription items, and both categories in combination levels of use 20% above the population average have been documented. Conclusions: Polypharmacy in the elderly population appears to be predicted by recent hospitalisation, increasing age, female sex and increasing depression. There is potential for drug-drug interaction to occur, but the findings suggest target areas for preventive action.