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Accuracy of the discharge destination field in administrative data for identifying transfer to a long-term acute care hospital
BACKGROUND: Long-term acute care hospitals (LTACs) provide specialized care for patients recovering from severe acute illness. In order to facilitate research into LTAC utilization and outcomes, we studied whether or not the discharge destination field in administrative data accurately identifies pa...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2917437/ https://www.ncbi.nlm.nih.gov/pubmed/20663175 http://dx.doi.org/10.1186/1756-0500-3-205 |
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author | Kahn, Jeremy M Iwashyna, Theodore J |
author_facet | Kahn, Jeremy M Iwashyna, Theodore J |
author_sort | Kahn, Jeremy M |
collection | PubMed |
description | BACKGROUND: Long-term acute care hospitals (LTACs) provide specialized care for patients recovering from severe acute illness. In order to facilitate research into LTAC utilization and outcomes, we studied whether or not the discharge destination field in administrative data accurately identifies patients transferred to an LTAC following acute care hospitalization. FINDINGS: We used the 2006 hospitalization claims for United States Medicare beneficiaries to examine the performance characteristics of the discharge destination field in the administrative record, compared to the reference standard of directly observing LTAC transfers in the claims. We found that the discharge destination field was highly specific (99.7%, 95 percent CI: 99.7% - 99.8%) but modestly sensitive (77.3%, 95 percent CI: 77.0% - 77.6%), with corresponding low positive predictive value (72.6%, 95 percent CI: 72.3% - 72.9%) and high negative predictive value (99.8%, 95 percent CI: 99.8% - 99.8%). Sensitivity and specificity were similar when limiting the analysis to only intensive care unit patients and mechanically ventilated patients, two groups with higher rates of LTAC utilization. Performance characteristics were slightly better when limiting the analysis to Pennsylvania, a state with relatively high LTAC penetration. CONCLUSIONS: The discharge destination field in administrative data can result in misclassification when used to identify patients transferred to long-term acute care hospitals. Directly observing transfers in the claims is the preferable method, although this approach is only feasible in identified data. |
format | Text |
id | pubmed-2917437 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-29174372010-08-07 Accuracy of the discharge destination field in administrative data for identifying transfer to a long-term acute care hospital Kahn, Jeremy M Iwashyna, Theodore J BMC Res Notes Short Report BACKGROUND: Long-term acute care hospitals (LTACs) provide specialized care for patients recovering from severe acute illness. In order to facilitate research into LTAC utilization and outcomes, we studied whether or not the discharge destination field in administrative data accurately identifies patients transferred to an LTAC following acute care hospitalization. FINDINGS: We used the 2006 hospitalization claims for United States Medicare beneficiaries to examine the performance characteristics of the discharge destination field in the administrative record, compared to the reference standard of directly observing LTAC transfers in the claims. We found that the discharge destination field was highly specific (99.7%, 95 percent CI: 99.7% - 99.8%) but modestly sensitive (77.3%, 95 percent CI: 77.0% - 77.6%), with corresponding low positive predictive value (72.6%, 95 percent CI: 72.3% - 72.9%) and high negative predictive value (99.8%, 95 percent CI: 99.8% - 99.8%). Sensitivity and specificity were similar when limiting the analysis to only intensive care unit patients and mechanically ventilated patients, two groups with higher rates of LTAC utilization. Performance characteristics were slightly better when limiting the analysis to Pennsylvania, a state with relatively high LTAC penetration. CONCLUSIONS: The discharge destination field in administrative data can result in misclassification when used to identify patients transferred to long-term acute care hospitals. Directly observing transfers in the claims is the preferable method, although this approach is only feasible in identified data. BioMed Central 2010-07-21 /pmc/articles/PMC2917437/ /pubmed/20663175 http://dx.doi.org/10.1186/1756-0500-3-205 Text en Copyright ©2010 Kahn et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Short Report Kahn, Jeremy M Iwashyna, Theodore J Accuracy of the discharge destination field in administrative data for identifying transfer to a long-term acute care hospital |
title | Accuracy of the discharge destination field in administrative data for identifying transfer to a long-term acute care hospital |
title_full | Accuracy of the discharge destination field in administrative data for identifying transfer to a long-term acute care hospital |
title_fullStr | Accuracy of the discharge destination field in administrative data for identifying transfer to a long-term acute care hospital |
title_full_unstemmed | Accuracy of the discharge destination field in administrative data for identifying transfer to a long-term acute care hospital |
title_short | Accuracy of the discharge destination field in administrative data for identifying transfer to a long-term acute care hospital |
title_sort | accuracy of the discharge destination field in administrative data for identifying transfer to a long-term acute care hospital |
topic | Short Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2917437/ https://www.ncbi.nlm.nih.gov/pubmed/20663175 http://dx.doi.org/10.1186/1756-0500-3-205 |
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