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Pattern of Investigation Reflects Risk Profile in Emergency Medical Admissions
Demand for hospital resources may increase over time; we have examined all emergency admissions (51,136 episodes) from 2005 to 2013 for underlying trends and whether resource utilization and clinical risk are correlated. We used logistic regression of the resource indicator against 30-day in-hospita...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4470220/ https://www.ncbi.nlm.nih.gov/pubmed/26239468 http://dx.doi.org/10.3390/jcm4051113 |
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author | Cournane, Seán Byrne, Declan O’Riordan, Deirdre Sheehy, Niall Silke, Bernard |
author_facet | Cournane, Seán Byrne, Declan O’Riordan, Deirdre Sheehy, Niall Silke, Bernard |
author_sort | Cournane, Seán |
collection | PubMed |
description | Demand for hospital resources may increase over time; we have examined all emergency admissions (51,136 episodes) from 2005 to 2013 for underlying trends and whether resource utilization and clinical risk are correlated. We used logistic regression of the resource indicator against 30-day in-hospital mortality and adjusted this risk estimate for other outcome predictors. Generally, resource indicators predicted an increased risk of a 30-day in-hospital death. For CT Brain the Odds Ratio (OR) was 1.37 (95% CI: 1.27, 1.50), CT Abdomen 3.48 (95% CI: 3.02, 4.02) and CT Chest, Thorax, Abdomen and Pelvis 2.50 (95% CI: 2.10, 2.97). Services allied to medicine including Physiotherapy 2.57 (95% CI: 2.35, 2.81), Dietetics 2.53 (95% CI: 2.27, 2.82), Speech and Language 5.29 (95% CI: 4.57, 6.05), Occupational Therapy 2.65 (95% CI: 2.38, 2.94) and Social Work 1.65 (95% CI: 1.48, 1.83) all predicted an increased risk. The in-hospital 30-day mortality increased with resource utilization, from 4.7% (none) to 27.0% (five resources). In acute medical illness, the use of radiological investigations and allied professionals increased over time. Resource utilization was calibrated from case complexity/30-day in-hospital mortality suggesting that complexity determined the need for and validated the use of these resources. |
format | Online Article Text |
id | pubmed-4470220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-44702202015-07-28 Pattern of Investigation Reflects Risk Profile in Emergency Medical Admissions Cournane, Seán Byrne, Declan O’Riordan, Deirdre Sheehy, Niall Silke, Bernard J Clin Med Article Demand for hospital resources may increase over time; we have examined all emergency admissions (51,136 episodes) from 2005 to 2013 for underlying trends and whether resource utilization and clinical risk are correlated. We used logistic regression of the resource indicator against 30-day in-hospital mortality and adjusted this risk estimate for other outcome predictors. Generally, resource indicators predicted an increased risk of a 30-day in-hospital death. For CT Brain the Odds Ratio (OR) was 1.37 (95% CI: 1.27, 1.50), CT Abdomen 3.48 (95% CI: 3.02, 4.02) and CT Chest, Thorax, Abdomen and Pelvis 2.50 (95% CI: 2.10, 2.97). Services allied to medicine including Physiotherapy 2.57 (95% CI: 2.35, 2.81), Dietetics 2.53 (95% CI: 2.27, 2.82), Speech and Language 5.29 (95% CI: 4.57, 6.05), Occupational Therapy 2.65 (95% CI: 2.38, 2.94) and Social Work 1.65 (95% CI: 1.48, 1.83) all predicted an increased risk. The in-hospital 30-day mortality increased with resource utilization, from 4.7% (none) to 27.0% (five resources). In acute medical illness, the use of radiological investigations and allied professionals increased over time. Resource utilization was calibrated from case complexity/30-day in-hospital mortality suggesting that complexity determined the need for and validated the use of these resources. MDPI 2015-05-21 /pmc/articles/PMC4470220/ /pubmed/26239468 http://dx.doi.org/10.3390/jcm4051113 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Cournane, Seán Byrne, Declan O’Riordan, Deirdre Sheehy, Niall Silke, Bernard Pattern of Investigation Reflects Risk Profile in Emergency Medical Admissions |
title | Pattern of Investigation Reflects Risk Profile in Emergency Medical Admissions |
title_full | Pattern of Investigation Reflects Risk Profile in Emergency Medical Admissions |
title_fullStr | Pattern of Investigation Reflects Risk Profile in Emergency Medical Admissions |
title_full_unstemmed | Pattern of Investigation Reflects Risk Profile in Emergency Medical Admissions |
title_short | Pattern of Investigation Reflects Risk Profile in Emergency Medical Admissions |
title_sort | pattern of investigation reflects risk profile in emergency medical admissions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4470220/ https://www.ncbi.nlm.nih.gov/pubmed/26239468 http://dx.doi.org/10.3390/jcm4051113 |
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