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Observational Study
. 2022 Feb 1;5(2):e2148007.
doi: 10.1001/jamanetworkopen.2021.48007.

Incidence of and County Variation in Fall Injuries in US Residents Aged 65 Years or Older, 2016-2019

Geoffrey Hoffman  1 , Nils Franco  2 , Jennifer Perloff  3   4 , Joanne Lynn  5 , Safiyyah Okoye  6 , Lillian Min  7   8
Affiliations
Observational Study

Incidence of and County Variation in Fall Injuries in US Residents Aged 65 Years or Older, 2016-2019

Geoffrey Hoffman et al. JAMA Netw Open. .

Abstract

This cross-sectional study examines national trends and geographic variation of fall injury rates among older US residents.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr Okoye reported receiving grants from National Institute on Aging T32AG066576 and grants from National Institute on Aging T32AG000247 outside the submitted work. No other disclosures were reported.

Figures

Figure.
Figure.. Map of US Counties With Fall Injury Rates Per 100 000 Person-Quarters, 2016-2019
Author calculations of age and sex-adjusted quarterly rates per 100 000 persons using 2016 to 2019 100% Medicare Parts A and B data. Each county’s value is the sum of identified fall injuries divided by the sum of analyzed person-quarters among county residents during 2016 through 2019. Quarterly data from counties with fewer than 11 fall injuries are omitted from the numerator and denominator for that county. Legend ticks represent the distribution of the cross-quarter county rates: from top to bottom, the upper outlier bound (Q3 + 1.5 × IQR), the 90th percentile, the third quartile (Q3), the median, Q1, the 10th percentile, and the lower outlier bound (Q1−1.5 × IQR). Counties with no uncensored quarterly data (where all quarters had fewer than 11 fall injuries) are gray.
See this image and copyright information in PMC

References

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