AIM: To examine time trends and factors associated with exposure to potentially inappropriate medications (PIMs) by the Beers Criteria. METHODS: PIM consumption days accumulated from the pharmaceutical claims of 251 305 Western Australians aged ≥65 years (1993-2005) and person follow-up times produced counts/rates. Logistic/Poisson regression generated odds/rate ratios. RESULTS: A total of 187 616 participants (74.7%) took ≥1 PIM (1993-2005), the cohort consuming 109 415 PIM daily doses/1000 person-years. Annual exposure decreased from 45-47% to 40%, and annual consumption rate declined from 117 836 to 90 364 daily doses/1000 person-years. Temazepam had the highest exposures (>17 000 daily doses/1000 person-years). Number of medications taken (OR 35.03; 95% CI 34.37-35.71 for ≥10 vs. 0-2 drugs), annual drug intake (2.08; 2.04-2.12 for highest vs. lowest quartile), and high-level residential aged care (1.96; 1.91-2.01) were most predictive of PIM exposure. CONCLUSIONS: PIM exposure remains high in older Western Australians. Our findings identify patients most at risk and medications to consider on Australia-specific PIM lists.
AIM: To examine time trends and factors associated with exposure to potentially inappropriate medications (PIMs) by the Beers Criteria. METHODS:PIM consumption days accumulated from the pharmaceutical claims of 251 305 Western Australians aged ≥65 years (1993-2005) and person follow-up times produced counts/rates. Logistic/Poisson regression generated odds/rate ratios. RESULTS: A total of 187 616 participants (74.7%) took ≥1 PIM (1993-2005), the cohort consuming 109 415 PIM daily doses/1000 person-years. Annual exposure decreased from 45-47% to 40%, and annual consumption rate declined from 117 836 to 90 364 daily doses/1000 person-years. Temazepam had the highest exposures (>17 000 daily doses/1000 person-years). Number of medications taken (OR 35.03; 95% CI 34.37-35.71 for ≥10 vs. 0-2 drugs), annual drug intake (2.08; 2.04-2.12 for highest vs. lowest quartile), and high-level residential aged care (1.96; 1.91-2.01) were most predictive of PIM exposure. CONCLUSIONS:PIM exposure remains high in older Western Australians. Our findings identify patients most at risk and medications to consider on Australia-specific PIM lists.
Authors: Marcela Jirón; Virginia Pate; Laura C Hanson; Jennifer L Lund; Michele Jonsson Funk; Til Stürmer Journal: J Am Geriatr Soc Date: 2016-04 Impact factor: 5.562
Authors: Dana Clarissa Muhlack; Liesa Katharina Hoppe; Christian Stock; Walter E Haefeli; Hermann Brenner; Ben Schöttker Journal: Eur J Clin Pharmacol Date: 2018-08-29 Impact factor: 2.953
Authors: Josep Pastor Cano; Ana Aranda García; Juan José Gascón Cánovas; José Francisco Sánchez Ruiz; Víctor José Rausell Rausell; Mariana Tobaruela Soto Journal: Aten Primaria Date: 2017-05-13 Impact factor: 1.137
Authors: Juliana de Oliveira Costa; Claudia Bruno; Andrea L Schaffer; Smriti Raichand; Emily A Karanges; Sallie-Anne Pearson Journal: Int J Popul Data Sci Date: 2021-04-15