TY - JOUR

T1 - Use of prescription drugs in the older adult population - a nationwide pharmacoepidemiological study

AU - Christensen, Line Due

AU - Reilev, Mette

AU - Juul-Larsen, Helle Gybel

AU - Jørgensen, Lillian Mørch

AU - Kaae, Susanne

AU - Andersen, Ove

AU - Pottegård, Anton

AU - Petersen, Janne

PY - 2019

Y1 - 2019

N2 - Purpose: Multi-morbidity and polypharmacy are common among older people. It is essential to provide a better understanding of the complexity of prescription drug use among older adults to optimise rational pharmacotherapy. Population-based utilisation data in this age group is limited. Using the Danish nationwide health registries, we aimed to characterise drug use among Danish individuals ≥ 60 years. Methods: This is a descriptive population-based study assessing drug prescription patterns in 2015 in the full Danish population aged ≥ 60 years. The use of specific therapeutic subgroups and chemical subgroups and its dependence on age were described using descriptive statistics. Profiles of drug combination patterns were evaluated using latent class analysis. Results: We included 1,424,775 residents (median age 70 years, 53% women). Of all the older adults, 89% filled at least one prescription during 2015. The median number of drug groups used was five per person. The most used single drug groups were paracetamol and analogues (34%), statins (33%) and platelet aggregation inhibitors (24%). Eighteen drug profiles with different drug combination patterns were identified. One drug profile with expected use of zero drugs and 11 drug profiles expected to receive more than five different therapeutic subgroup drugs were identified. Conclusion: The use of drugs is extensive both at the population level and increasing with age at an individual level. Separating the population into different homogenous groups related to drug use resulted in 18 different drug profiles, of which 11 drug profiles received on average more than five different therapeutic subgroup drugs.

AB - Purpose: Multi-morbidity and polypharmacy are common among older people. It is essential to provide a better understanding of the complexity of prescription drug use among older adults to optimise rational pharmacotherapy. Population-based utilisation data in this age group is limited. Using the Danish nationwide health registries, we aimed to characterise drug use among Danish individuals ≥ 60 years. Methods: This is a descriptive population-based study assessing drug prescription patterns in 2015 in the full Danish population aged ≥ 60 years. The use of specific therapeutic subgroups and chemical subgroups and its dependence on age were described using descriptive statistics. Profiles of drug combination patterns were evaluated using latent class analysis. Results: We included 1,424,775 residents (median age 70 years, 53% women). Of all the older adults, 89% filled at least one prescription during 2015. The median number of drug groups used was five per person. The most used single drug groups were paracetamol and analogues (34%), statins (33%) and platelet aggregation inhibitors (24%). Eighteen drug profiles with different drug combination patterns were identified. One drug profile with expected use of zero drugs and 11 drug profiles expected to receive more than five different therapeutic subgroup drugs were identified. Conclusion: The use of drugs is extensive both at the population level and increasing with age at an individual level. Separating the population into different homogenous groups related to drug use resulted in 18 different drug profiles, of which 11 drug profiles received on average more than five different therapeutic subgroup drugs.

KW - Drug profiles

KW - Drug utilisation

KW - Older adults

KW - Pharmacoepidemiology

KW - Prescription drugs

U2 - 10.1007/s00228-019-02669-2

DO - 10.1007/s00228-019-02669-2

M3 - Journal article

C2 - 30949726

AN - SCOPUS:85064515366

VL - 75

SP - 1125

EP - 1133

JO - European Journal of Clinical Pharmacology

JF - European Journal of Clinical Pharmacology

SN - 0031-6970

IS - 8

ER -