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Arthroplasty Utilization in the United States is Predicted by Age-Specific Population Groups
Joint Authors
Zimmerman, Ryan M.
Antoci, Valentin
Walcott, Brian P.
Bashinskaya, Bronislava
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-11-14
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Osteoarthritis is a common indication for hip and knee arthroplasty.
An accurate assessment of current trends in healthcare utilization as they relate to arthroplasty may predict the needs of a growing elderly population in the United States.
First, incidence data was queried from the United States Nationwide Inpatient Sample from 1993 to 2009.
Patients undergoing total knee and hip arthroplasty were identified.
Then, the United States Census Bureau was queried for population data from the same study period as well as to provide future projections.
Arthroplasty followed linear regression models with the population group >64 years in both hip and knee groups.
Projections for procedure incidence in the year 2050 based on these models were calculated to be 1,859,553 cases (hip) and 4,174,554 cases (knee).
The need for hip and knee arthroplasty is expected to grow significantly in the upcoming years, given population growth predictions.
American Psychological Association (APA)
Bashinskaya, Bronislava& Zimmerman, Ryan M.& Walcott, Brian P.& Antoci, Valentin. 2012. Arthroplasty Utilization in the United States is Predicted by Age-Specific Population Groups. ISRN Orthopedics،Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-452832
Modern Language Association (MLA)
Bashinskaya, Bronislava…[et al.]. Arthroplasty Utilization in the United States is Predicted by Age-Specific Population Groups. ISRN Orthopedics No. 2012 (2012), pp.1-8.
https://search.emarefa.net/detail/BIM-452832
American Medical Association (AMA)
Bashinskaya, Bronislava& Zimmerman, Ryan M.& Walcott, Brian P.& Antoci, Valentin. Arthroplasty Utilization in the United States is Predicted by Age-Specific Population Groups. ISRN Orthopedics. 2012. Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-452832
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-452832