Associations between drug burden index and falls in older people in residential aged care. 2011

Nicholas M Wilson, and Sarah N Hilmer, and Lyn M March, and Ian D Cameron, and Stephen R Lord, and Markus J Seibel, and Rebecca S Mason, and Jian Shen Chen, and Robert G Cumming, and Philip N Sambrook
Kolling Institute of Medical Research, Institute of Bone and Joint Research, Royal North Shore Hospital, Sydney, New South Wales, Australia. nwil2076@uni.sydney.edu.au

OBJECTIVE To evaluate the association between the Drug Burden Index (DBI), a measure of a person's total exposure to anticholinergic and sedative medications that includes principles of dose-response and maximal effect and is associated with impaired physical function in community-dwelling older people, and falls in residents of residential aged care facilities (RACFs). METHODS Data were drawn from participants in a randomized controlled trial that investigated falls and fractures. METHODS RACFs in Sydney, Australia. METHODS Study participants (N=602; 70.9% female) were recruited from 51 RACFs. Mean age was 85.7 ± 6.4, and mean DBI was 0.60 ± 0.66. METHODS Medication history was obtained on each participant. Drugs were classified as anticholinergic or sedative and a DBI was calculated. Falls were measured over a 12-month period. Comorbidity, cognitive impairment (Mini-Mental State Examination) and depression (Geriatric Depression Scale) were determined. RESULTS There were 998 falls in 330 individuals during a follow-up period of 574.2 person-years, equating to an average rate of 1.74 falls per person-year. The univariate negative binomial regression model for falls showed incidence rate ratios of 1.69 (95% confidence interval (CI)=1.22-2.34) for low DBI (<1) and 2.11 (95% CI=1.47-3.04) for high DBI (≥1) when compared with those who had a DBI of 0. After adjusting for age, sex, history of falling, cognitive impairment, depression, use of a walking aid, comorbidities, polypharmacy, and incontinence, incident rate ratios of 1.61 (95% CI=1.17-2.23) for low DBI and 1.90 (95% CI=1.30-2.78) for high DBI were obtained. CONCLUSIONS DBI is significantly and independently associated with falls in older people living in RACFs. Interventional studies designed for this population are needed to determine whether reducing DBI, through dose reduction or cessation of anticholinergic and sedative drugs, can prevent falls.

UI MeSH Term Description Entries
D006993 Hypnotics and Sedatives Drugs used to induce drowsiness or sleep or to reduce psychological excitement or anxiety. Hypnotic,Sedative,Sedative and Hypnotic,Sedatives,Hypnotic Effect,Hypnotic Effects,Hypnotics,Sedative Effect,Sedative Effects,Sedatives and Hypnotics,Effect, Hypnotic,Effect, Sedative,Effects, Hypnotic,Effects, Sedative,Hypnotic and Sedative
D008297 Male Males
D010818 Practice Patterns, Physicians' Patterns of practice related to diagnosis and treatment as especially influenced by cost of the service requested and provided. Clinical Practice Patterns,Physician's Practice Patterns,Clinical Practice Pattern,Pattern, Clinical Practice,Patterns, Clinical Practice,Practice Pattern, Clinical,Practice Patterns, Clinical,Practice Patterns, Physician's,Prescribing Patterns, Physician,Physician Practice Patterns,Physician Prescribing Pattern,Physician Prescribing Patterns,Physician's Practice Pattern,Physicians' Practice Pattern,Physicians' Practice Patterns,Practice Pattern, Physician's,Practice Pattern, Physicians',Practice Patterns, Physician,Prescribing Pattern, Physician
D011307 Drug Prescriptions Directions written for the obtaining and use of DRUGS. Drug Prescribing,Drug Prescription,Drug Prescribings,Prescribing, Drug,Prescribings, Drug
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D004347 Drug Interactions The action of a drug that may affect the activity, metabolism, or toxicity of another drug. Drug Interaction,Interaction, Drug,Interactions, Drug
D005260 Female Females
D006707 Homes for the Aged Geriatric long-term care facilities which provide supervision and assistance in activities of daily living with medical and nursing services when required. Old Age Homes,Residential Aged Care Facility,Senior Housing,Home, Old Age,Homes, Old Age,Housing, Senior,Old Age Home
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000058 Accidental Falls Falls due to slipping or tripping which may result in injury. Falls, Accidental,Falling,Falls,Slip and Fall,Accidental Fall,Fall and Slip,Fall, Accidental

Related Publications

Nicholas M Wilson, and Sarah N Hilmer, and Lyn M March, and Ian D Cameron, and Stephen R Lord, and Markus J Seibel, and Rebecca S Mason, and Jian Shen Chen, and Robert G Cumming, and Philip N Sambrook
January 2018, Drugs & aging,
Nicholas M Wilson, and Sarah N Hilmer, and Lyn M March, and Ian D Cameron, and Stephen R Lord, and Markus J Seibel, and Rebecca S Mason, and Jian Shen Chen, and Robert G Cumming, and Philip N Sambrook
July 2014, Pharmacoepidemiology and drug safety,
Nicholas M Wilson, and Sarah N Hilmer, and Lyn M March, and Ian D Cameron, and Stephen R Lord, and Markus J Seibel, and Rebecca S Mason, and Jian Shen Chen, and Robert G Cumming, and Philip N Sambrook
January 2002, Scandinavian journal of public health,
Nicholas M Wilson, and Sarah N Hilmer, and Lyn M March, and Ian D Cameron, and Stephen R Lord, and Markus J Seibel, and Rebecca S Mason, and Jian Shen Chen, and Robert G Cumming, and Philip N Sambrook
April 2003, Aging clinical and experimental research,
Nicholas M Wilson, and Sarah N Hilmer, and Lyn M March, and Ian D Cameron, and Stephen R Lord, and Markus J Seibel, and Rebecca S Mason, and Jian Shen Chen, and Robert G Cumming, and Philip N Sambrook
September 2002, Public health,
Nicholas M Wilson, and Sarah N Hilmer, and Lyn M March, and Ian D Cameron, and Stephen R Lord, and Markus J Seibel, and Rebecca S Mason, and Jian Shen Chen, and Robert G Cumming, and Philip N Sambrook
February 2016, Australian nursing & midwifery journal,
Nicholas M Wilson, and Sarah N Hilmer, and Lyn M March, and Ian D Cameron, and Stephen R Lord, and Markus J Seibel, and Rebecca S Mason, and Jian Shen Chen, and Robert G Cumming, and Philip N Sambrook
August 2013, Internal medicine journal,
Nicholas M Wilson, and Sarah N Hilmer, and Lyn M March, and Ian D Cameron, and Stephen R Lord, and Markus J Seibel, and Rebecca S Mason, and Jian Shen Chen, and Robert G Cumming, and Philip N Sambrook
December 2009, The American journal of medicine,
Nicholas M Wilson, and Sarah N Hilmer, and Lyn M March, and Ian D Cameron, and Stephen R Lord, and Markus J Seibel, and Rebecca S Mason, and Jian Shen Chen, and Robert G Cumming, and Philip N Sambrook
January 2024, Australasian journal on ageing,
Nicholas M Wilson, and Sarah N Hilmer, and Lyn M March, and Ian D Cameron, and Stephen R Lord, and Markus J Seibel, and Rebecca S Mason, and Jian Shen Chen, and Robert G Cumming, and Philip N Sambrook
May 2012, Drugs & aging,
Copied contents to your clipboard!