Healthcare spending for non-fatal falls among older adults, USA
Supporting Files
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7 19 2024
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File Language:
English
Details
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Alternative Title:Inj Prev
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Personal Author:
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Description: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.
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Subjects:
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Source:Inj Prev. 30(4):272-276
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Pubmed ID:39029927
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Pubmed Central ID:PMC11445707
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Document Type:
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Funding:
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Volume:30
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Issue:4
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Collection(s):
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Main Document Checksum:urn:sha-512:c0769a41efe0c8d3131ae78b56bc97fc5084c1692163b899cf37c9147f95ef51e74d93b87856105eb595946a32f8909bde72a50ee39a0db3a302e7240118351e
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Download URL:
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File Type:
Supporting Files
File Language:
English
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