Falls-Related Drug Use and Risk of Falls Among Older Adults: A Study in a US Medicare Population

Drugs Aging. 2017 Jul;34(7):555-565. doi: 10.1007/s40266-017-0470-x.

Abstract

Background: Approximately one-third of community-dwelling older adults fall each year, and approximately 10% have falls requiring medical services. Among other factors, research studies have linked certain medications with an increased risk of falls.

Objective: The aim of this study was to examine the risk of falls relative to use patterns among new and continuing falls-related drug (FRD) users.

Methods: A 10% random sample, insured in AARP® Medicare Supplement and AARP Medicare Part D Rx plans, was utilized to define new and continuing FRD users. New users had a 12-month pre-period without FRD use, whereas continuing users had at least one FRD in the pre-period. Both groups had 12-month follow-up after initiating or continuing FRD use. Characteristics associated with the risk of falls for new and continuing users were determined using multivariate logistic regression models.

Results: Among insureds, 44% used at least one of the FRD classes. Of these, 29% were new users (N = 35,340) and 71% were continuing users (N = 121,488). Fall rates for the two subgroups were similar at 7 and 8%, respectively. Characteristics associated with the risk of falls were previous injurious fall, use of two or more classes of FRDs, older age, poorer health, and being female. New users were at higher risk than continuing users.

Conclusion: New users of FRDs were at highest risk of falls, and continuing users were at increased risk, especially with higher numbers of FRD classes. Both groups could benefit from falls awareness and prevention programs.

MeSH terms

  • Accidental Falls / prevention & control
  • Accidental Falls / statistics & numerical data*
  • Adult
  • Age Factors
  • Aged
  • Aged, 80 and over
  • Drug Utilization / statistics & numerical data*
  • Drug-Related Side Effects and Adverse Reactions / epidemiology*
  • Drug-Related Side Effects and Adverse Reactions / etiology
  • Female
  • Humans
  • Logistic Models
  • Male
  • Medicare
  • Random Allocation
  • Risk Factors
  • Sex Factors
  • United States