The DOI matches its Crossref record.
Impact of the Economic Downturn on Total Joint Replacement Demand in the United States: Updated Projections to 2021
Abstract
BACKGROUND: Few studies have explored the role of the National Health Expenditure and macroeconomics on the utilization of total joint replacement. The economic downturn has raised questions about the sustainability of growth for total joint replacement in the future. Previous projections of total joint replacement demand in the United States were based on data up to 2003 using a statistical methodology that neglected macroeconomic factors, such as the National Health Expenditure. METHODS: Data from the Nationwide Inpatient Sample (1993 to 2010) were used with United States Census and National Health Expenditure data to quantify historical trends in total joint replacement rates, including the two economic downturns in the 2000s. Primary and revision hip and knee arthroplasty were identified using codes from the International Classification of Diseases, Ninth Revision, Clinical Modification. Projections in total joint replacement were estimated using a regression model incorporating the growth in population and rate of arthroplasties from 1993 to 2010 as a function of age, sex, race, and census region using the National Health Expenditure as the independent variable. The regression model was used in conjunction with government projections of National Health Expenditure from 2011 to 2021 to estimate future arthroplasty rates in subpopulations of the United States and to derive national estimates. RESULTS: The growth trend for the incidence of joint arthroplasty, for the overall United States population as well as for the United States workforce, was insensitive to economic downturns. From 2009 to 2010, the total number of procedures increased by 6.0% for primary total hip arthroplasty, 6.1% for primary total knee arthroplasty, 10.8% for revision total hip arthroplasty, and 13.5% for revision total knee arthroplasty. The National Health Expenditure model projections for primary hip replacement in 2020 were higher than a previously projected model, whereas the current model estimates for total knee arthroplasty were lower. CONCLUSIONS: Economic downturns in the 2000s did not substantially influence the national growth trends for hip and knee arthroplasty in the United States. These latest updated projections provide a basis for surgeons, hospitals, payers, and policy makers to plan for the future demand for total joint replacement surgery.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Kurtz, S. M., Lau, E. C., Son, M.-S., Chang, E. T., Zimmerli, W., & Parvizi, J. (2018) · The Journal of Arthroplasty · doi:10.1016/j.arth.2018.05.042 · Cited by 448
Self-citationRiddle, D. L., Keefe, F. J., Ang, D. C., Slover, J., Jensen, M. P., Bair, M. J., Kroenke, K., Perera, R. A., Reed, S. D., McKee, D., et al. (2019) · Journal of Bone and Joint Surgery · doi:10.2106/jbjs.18.00621 · Cited by 101
Correia, F. D., Nogueira, A., Magalhães, I., Guimarães, J., Moreira, M., Barradas, I., Molinos, M., Teixeira, L., Tulha, J., Seabra, R., et al. (2019) · JMIR Rehabilitation and Assistive Technologies · doi:10.2196/13111 · Cited by 87
Metadata
- Authors
- Kurtz, S. M., Ong, K. L., Lau, E., & Bozic, K. J.
- Venue
- Journal of Bone and Joint Surgery
- Published
- 2014-04-16
- Volume
- 96
- Issue
- 8
- Pages
- 624-630
- ISSN
- 0021-9355 (ISSN-L)
- 1535-1386
- OpenAlex
- W2129578138
- Cited by
- 864
- References
- 0
- FWCI
- 75.87
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Impact of the Economic Downturn on Total Joint Replacement Demand in the United States: Updated Projections to 2021. https://app.cochat.ai/papers/10.2106/jbjs.m.00285
- The paper
- Kurtz, S. M., Ong, K. L., Lau, E., & Bozic, K. J. (2014). Impact of the Economic Downturn on Total Joint Replacement Demand in the United States: Updated Projections to 2021. Journal of Bone and Joint Surgery. https://doi.org/10.2106/jbjs.m.00285
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.