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Can an arthroplasty risk score predict bundled care events after total joint arthroplasty?
BACKGROUND: The validated Arthroplasty Risk Score (ARS) predicts the need for postoperative triage to an intensive care setting. We hypothesized that the ARS may also predict hospital length of stay (LOS), discharge disposition, and episode-of-care cost (EOCC). METHODS: We retrospectively reviewed a...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5859673/ https://www.ncbi.nlm.nih.gov/pubmed/29560404 http://dx.doi.org/10.1016/j.artd.2017.07.005 |
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author | Ashley, Blair S. Courtney, Paul Maxwell Gittings, Daniel J. Bernstein, Jenna A. Lee, Gwo Chin Hume, Eric L. Kamath, Atul F. |
author_facet | Ashley, Blair S. Courtney, Paul Maxwell Gittings, Daniel J. Bernstein, Jenna A. Lee, Gwo Chin Hume, Eric L. Kamath, Atul F. |
author_sort | Ashley, Blair S. |
collection | PubMed |
description | BACKGROUND: The validated Arthroplasty Risk Score (ARS) predicts the need for postoperative triage to an intensive care setting. We hypothesized that the ARS may also predict hospital length of stay (LOS), discharge disposition, and episode-of-care cost (EOCC). METHODS: We retrospectively reviewed a series of 704 patients undergoing primary total hip and knee arthroplasty over 17 months. Patient characteristics, 90-day EOCC, LOS, and readmission rates were compared before and after ARS implementation. RESULTS: ARS implementation was associated with fewer patients going to a skilled nursing or rehabilitation facility after discharge (63% vs 74%, P = .002). There was no difference in LOS, EOCC, readmission rates, or complications. While the adoption of the ARS did not change the mean EOCC, ARS >3 was predictive of high EOCC outlier (odds ratio 2.65, 95% confidence interval 1.40-5.01, P = .003). Increased ARS correlated with increased EOCC (P = .003). CONCLUSIONS: Implementation of the ARS was associated with increased disposition to home. It was predictive of high EOCC and should be considered in risk adjustment variables in alternative payment models. |
format | Online Article Text |
id | pubmed-5859673 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-58596732018-03-20 Can an arthroplasty risk score predict bundled care events after total joint arthroplasty? Ashley, Blair S. Courtney, Paul Maxwell Gittings, Daniel J. Bernstein, Jenna A. Lee, Gwo Chin Hume, Eric L. Kamath, Atul F. Arthroplast Today Original Research BACKGROUND: The validated Arthroplasty Risk Score (ARS) predicts the need for postoperative triage to an intensive care setting. We hypothesized that the ARS may also predict hospital length of stay (LOS), discharge disposition, and episode-of-care cost (EOCC). METHODS: We retrospectively reviewed a series of 704 patients undergoing primary total hip and knee arthroplasty over 17 months. Patient characteristics, 90-day EOCC, LOS, and readmission rates were compared before and after ARS implementation. RESULTS: ARS implementation was associated with fewer patients going to a skilled nursing or rehabilitation facility after discharge (63% vs 74%, P = .002). There was no difference in LOS, EOCC, readmission rates, or complications. While the adoption of the ARS did not change the mean EOCC, ARS >3 was predictive of high EOCC outlier (odds ratio 2.65, 95% confidence interval 1.40-5.01, P = .003). Increased ARS correlated with increased EOCC (P = .003). CONCLUSIONS: Implementation of the ARS was associated with increased disposition to home. It was predictive of high EOCC and should be considered in risk adjustment variables in alternative payment models. Elsevier 2017-08-31 /pmc/articles/PMC5859673/ /pubmed/29560404 http://dx.doi.org/10.1016/j.artd.2017.07.005 Text en © 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Research Ashley, Blair S. Courtney, Paul Maxwell Gittings, Daniel J. Bernstein, Jenna A. Lee, Gwo Chin Hume, Eric L. Kamath, Atul F. Can an arthroplasty risk score predict bundled care events after total joint arthroplasty? |
title | Can an arthroplasty risk score predict bundled care events after total joint arthroplasty? |
title_full | Can an arthroplasty risk score predict bundled care events after total joint arthroplasty? |
title_fullStr | Can an arthroplasty risk score predict bundled care events after total joint arthroplasty? |
title_full_unstemmed | Can an arthroplasty risk score predict bundled care events after total joint arthroplasty? |
title_short | Can an arthroplasty risk score predict bundled care events after total joint arthroplasty? |
title_sort | can an arthroplasty risk score predict bundled care events after total joint arthroplasty? |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5859673/ https://www.ncbi.nlm.nih.gov/pubmed/29560404 http://dx.doi.org/10.1016/j.artd.2017.07.005 |
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