A Longitudinal Analysis of Total 3-Year Healthcare Costs for Older Adults Who Experience a Fall Requiring Medical Care

OBJECTIVES: To compare longitudinal changes in healthcare costs between fallers admitted to the hospital at the time of the fall (admitted), those not admitted to the hospital (nonadmitted), and nonfaller controls; test hypotheses related to differences in mean costs between and within these groups...

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Bibliographic Details
Published in:Journal of the American Geriatrics Society (JAGS) 2010-05, Vol.58 (5), p.853-860
Main Authors: Bohl, Alex A., Fishman, Paul A., Ciol, Marcia A., Williams, Barbara, LoGerfo, James, Phelan, Elizabeth A.
Format: Article
Language:English
Subjects:
Accidental Falls - economics
Age Factors
Aged
Aged, 80 and over
Biological and medical sciences
Comorbidity
economic
fall injury
Falls
Female
General aspects
Health Care Costs - statistics & numerical data
Health care expenditures
Hospitalization
Humans
longitudinal
Longitudinal Studies
Male
Medical sciences
Medicare
Miscellaneous
older adults
Older people
Public health. Hygiene
Public health. Hygiene-occupational medicine
Sensitivity and Specificity
Sex Factors
Statistics as Topic
Time
Washington
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Summary:OBJECTIVES: To compare longitudinal changes in healthcare costs between fallers admitted to the hospital at the time of the fall (admitted), those not admitted to the hospital (nonadmitted), and nonfaller controls; test hypotheses related to differences in mean costs between and within these groups over time; and estimate the costs attributable to falling. DESIGN: Longitudinal cohort. SETTING: Group Health Cooperative of Puget Sound. PARTICIPANTS: Seven thousand nine hundred ninety‐three nonadmitted fallers, 976 admitted fallers, and 8,956 nonfallers aged 67 and older enrolled in an integrated healthcare delivery system. Fallers were identified according to fall‐related E‐Codes and International Classification of Diseases, Ninth Revision codes recorded between January 1, 2004, and December 31, 2006. Nonfallers were frequency matched on age group and sex. MEASUREMENTS: Quarterly costs during a 3‐year period were modeled using generalized estimating equations. Covariates included index age, sex, RxRisk (a comorbidity adjuster), fall status, time, and interactions between fall status and time. RESULTS: Cost differences between the faller cohorts and nonfallers were greatest in quarters closest to the fall (all P
ISSN:0002-8614
1532-5415
DOI:10.1111/j.1532-5415.2010.02816.x