Evidence map›Paper›PMID 40639922›Full record

ArticleInjury prevention : journal of the International Society for Child and Adolescent Injury Prevention2025

Healthcare expenditure on older adult non-fatal falls by state.

Gabrielle F Miller, Yara K Haddad, Neil Ortmann, Curtis Florence

Abstract read
In one paragraph

Article in Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Gabrielle F MillerNational Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia, USA ygm3@cdc.gov.ORCID http://orcid.org/0000-0002-8031-8558
Yara K HaddadNational Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID http://orcid.org/0000-0001-6803-2410
Neil OrtmannNational Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID http://orcid.org/0000-0003-0793-6584
Curtis FlorenceNational Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID http://orcid.org/0000-0001-5767-1655

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

objectivesFalls are a leading preventable cause of death and injury among older adults (65+). Healthcare spending in the USA on non-fatal falls was estimated at $80 billion in 2020. We aim to estimate healthcare spending on older adult non-fatal falls by state.

methodsHealthcare spending for all adults was derived from the 2020 Centers for Medicare and Medicaid Services (CMS) Health Expenditures by State of Residence files. These data covered three payor types: Medicare, Medicaid and private health insurance (PHI). Using the national 2020 CMS Health Expenditure by Age Group files, the national proportion of healthcare spending for older adults was calculated for each payor type. These national proportions were applied to each state's healthcare spending data to estimate healthcare spending for older adults in each state, adjusted for the proportion of older adults in each state. To estimate the proportion of older adult healthcare spending attributed to non-fatal falls, these adjusted values were combined with the falls-attributable expenditure factors calculated in Haddad (2024). The final state-level estimates of healthcare spending on non-fatal older adult falls were calculated for each payer type: Medicare, Medicaid and PHI. All estimates were inflated to 2023 dollars.

resultsOverall state-level spending on non-fatal falls ranged between $112.7 million in Alaska to $8.3 billion in Florida. Per-capita spending estimates ranged between $1085 in Utah to $2262 in Wisconsin.

conclusionsMeasuring the cost of non-fatal falls at the state level can help inform regional differences and improve targeted fall prevention efforts.

Indexed as

CostsEconomic AnalysisFallOlder People

Identifiers

PMID40639922
PMCPMC13044968

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.