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Patient, hospital, and local health system characteristics associated with the use of observation stays in veterans health administration hospitals, 2005 to 2012
Recent studies have documented that a significant increase in the use of observation stays along with extensive variation in patterns of use across hospitals. The objective of this longitudinal observational study was to examine the extent to which patient, hospital, and local health system characte...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5023914/ https://www.ncbi.nlm.nih.gov/pubmed/27603391 http://dx.doi.org/10.1097/MD.0000000000004802 |
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author | Wright, Brad O'Shea, Amy M.J. Glasgow, Justin M. Ayyagari, Padmaja Vaughan-Sarrazin, Mary |
author_facet | Wright, Brad O'Shea, Amy M.J. Glasgow, Justin M. Ayyagari, Padmaja Vaughan-Sarrazin, Mary |
author_sort | Wright, Brad |
collection | PubMed |
description | Recent studies have documented that a significant increase in the use of observation stays along with extensive variation in patterns of use across hospitals. The objective of this longitudinal observational study was to examine the extent to which patient, hospital, and local health system characteristics explain variation in observation stay rates across Veterans Health Administration (VHA) hospitals. Our data came from years 2005 to 2012 of the nationwide VHA Medical SAS inpatient and enrollment files, American Hospital Association Survey, and Area Health Resource File. We used these data to estimate linear regression models of hospitals’ observation stay rates as a function of hospital, patient, and local health system characteristics, while controlling for time trends and Veterans Integrated Service Network level fixed effects. We found that observation stay rates are inversely related to hospital bed size and that hospitals with a greater proportion of younger or rural patients have higher observation stay rates. Observation stay rates were nearly 15 percentage points higher in 2012 than 2005. Although we identify several characteristics associated with variation in VHA hospital observation stay rates, many factors remain unmeasured. |
format | Online Article Text |
id | pubmed-5023914 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-50239142016-09-26 Patient, hospital, and local health system characteristics associated with the use of observation stays in veterans health administration hospitals, 2005 to 2012 Wright, Brad O'Shea, Amy M.J. Glasgow, Justin M. Ayyagari, Padmaja Vaughan-Sarrazin, Mary Medicine (Baltimore) 5400 Recent studies have documented that a significant increase in the use of observation stays along with extensive variation in patterns of use across hospitals. The objective of this longitudinal observational study was to examine the extent to which patient, hospital, and local health system characteristics explain variation in observation stay rates across Veterans Health Administration (VHA) hospitals. Our data came from years 2005 to 2012 of the nationwide VHA Medical SAS inpatient and enrollment files, American Hospital Association Survey, and Area Health Resource File. We used these data to estimate linear regression models of hospitals’ observation stay rates as a function of hospital, patient, and local health system characteristics, while controlling for time trends and Veterans Integrated Service Network level fixed effects. We found that observation stay rates are inversely related to hospital bed size and that hospitals with a greater proportion of younger or rural patients have higher observation stay rates. Observation stay rates were nearly 15 percentage points higher in 2012 than 2005. Although we identify several characteristics associated with variation in VHA hospital observation stay rates, many factors remain unmeasured. Wolters Kluwer Health 2016-09-09 /pmc/articles/PMC5023914/ /pubmed/27603391 http://dx.doi.org/10.1097/MD.0000000000004802 Text en Copyright © 2016 the Author(s). Published by Wolters Kluwer Health, Inc. All rights reserved. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially. http://creativecommons.org/licenses/by-nc-nd/4.0 |
spellingShingle | 5400 Wright, Brad O'Shea, Amy M.J. Glasgow, Justin M. Ayyagari, Padmaja Vaughan-Sarrazin, Mary Patient, hospital, and local health system characteristics associated with the use of observation stays in veterans health administration hospitals, 2005 to 2012 |
title | Patient, hospital, and local health system characteristics associated with the use of observation stays in veterans health administration hospitals, 2005 to 2012 |
title_full | Patient, hospital, and local health system characteristics associated with the use of observation stays in veterans health administration hospitals, 2005 to 2012 |
title_fullStr | Patient, hospital, and local health system characteristics associated with the use of observation stays in veterans health administration hospitals, 2005 to 2012 |
title_full_unstemmed | Patient, hospital, and local health system characteristics associated with the use of observation stays in veterans health administration hospitals, 2005 to 2012 |
title_short | Patient, hospital, and local health system characteristics associated with the use of observation stays in veterans health administration hospitals, 2005 to 2012 |
title_sort | patient, hospital, and local health system characteristics associated with the use of observation stays in veterans health administration hospitals, 2005 to 2012 |
topic | 5400 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5023914/ https://www.ncbi.nlm.nih.gov/pubmed/27603391 http://dx.doi.org/10.1097/MD.0000000000004802 |
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