Related Experiment Video
Updated: Jun 10, 2025
08:05
Design and Analysis for Fall Detection System Simplification
Published on: April 6, 2020
10.6K
Rates of fall injuries across three claims databases, 2019
Gabrielle F Miller1, Christopher Dunphy2, Yara K Haddad2
1Division of Injury Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, USA ygm3@cdc.gov.
Summary
Estimating non-fatal fall hospitalizations varies significantly by the claims database used. Careful database selection is crucial for accurate incidence rates of falls.
Area of Science:
- Public Health
- Epidemiology
- Health Services Research
Background:
- Falls are a leading cause of unintentional injury deaths in the USA.
- Estimating non-fatal fall data lacks a gold standard, often relying on insurance claims or administrative billing data.
- Accurate data are essential for public health interventions and resource allocation.
Purpose of the Study:
- To compare fall hospitalization rates across three major claims databases in 2019.
- To assess the impact of database selection on non-fatal fall incidence estimates.
- To inform future research and policy regarding fall surveillance.
Main Methods:
- Utilized three claims databases: Merative MarketScan, CMS, and HCUP NIS.
- Identified inpatient falls using ICD-10-CM codes.
- Calculated incidence rates per 100,000 people by payer type and estimated incidence rate ratios.
Main Results:
- Significant disparities in fall rates were observed across the databases.
- HCUP showed the highest fall rates for Medicare and commercial enrollees.
- CMS reported the highest fall rates for Medicaid enrollees.
Conclusions:
- The choice of claims database substantially influences estimates of non-fatal fall hospitalization rates.
- Database selection is a critical factor in accurately determining the incidence of non-fatal falls.
- Findings highlight the need for standardized methodologies in fall data collection and analysis.
