Citation

Haddad YK, Miller GF, Kakara R, Florence C, Bergen G, Burns ER, Atherly A. Inj. Prev. 2024; 30(4): 272-276.

Copyright

(Copyright © 2024, BMJ Publishing Group)

DOI

10.1136/ip-2023-045023

PMID

39029927

Abstract

BACKGROUND: The older adult (65+) population in the USA is increasing and with it the number of medically treated falls. In 2015, healthcare spending attributable to older adult falls was approximately US$50 billion. We aim to update the estimated medical expenditures attributable to older adult non-fatal falls.

METHODS: Generalised linear models using 2017, 2019 and 2021 Medicare Current Beneficiary Survey and cost supplement files were used to estimate the association of falls with healthcare expenditures while adjusting for demographic characteristics and health conditions in the model. To portion out the share of total healthcare spending attributable to falls versus not, we adjusted for demographic characteristics and health conditions, including self-reported health status and certain comorbidities associated with increased risk of falling or higher healthcare expenditure. We calculated a fall-attributable fraction of expenditure as total expenditures minus total expenditures with no falls divided by total expenditures. We applied the fall-attributable fraction of expenditure from the regression model to the 2020 total expenditures from the National Health Expenditure Data to calculate total healthcare spending attributable to older adult falls.

RESULTS: In 2020, healthcare expenditure for non-fatal falls was US$80.0 billion, with the majority paid by Medicare.

CONCLUSION: Healthcare spending for non-fatal older adult falls was substantially higher than previously reported estimates. This highlights the growing economic burden attributable to older adult falls and these findings can be used to inform policies on fall prevention efforts in the USA.

Language: en

Keywords

Humans; Aged; Female; Male; United States/epidemiology; Aged, 80 and over; fall; *Accidental Falls/economics/statistics & numerical data/prevention & control; *Health Expenditures/statistics & numerical data; *Medicare/economics; costs; older people