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Effectiveness of Evidence-based Pneumonia CPOE Order Sets Measured by Health Outcomes

OBJECTIVE: Evidence-based sets of medical orders for the treatment of patients with common conditions have the potential to induce greater efficiency and convenience across the system, along with more consistent health outcomes. Despite ongoing utilization of order sets, quantitative evidence of the...

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Detalles Bibliográficos
Autores principales: Krive, Jacob, Shoolin, Joel S., Zink, Steven D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University of Illinois at Chicago Library 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4576442/
https://www.ncbi.nlm.nih.gov/pubmed/26392842
http://dx.doi.org/10.5210/ojphi.v7i2.5527
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author Krive, Jacob
Shoolin, Joel S.
Zink, Steven D.
author_facet Krive, Jacob
Shoolin, Joel S.
Zink, Steven D.
author_sort Krive, Jacob
collection PubMed
description OBJECTIVE: Evidence-based sets of medical orders for the treatment of patients with common conditions have the potential to induce greater efficiency and convenience across the system, along with more consistent health outcomes. Despite ongoing utilization of order sets, quantitative evidence of their effectiveness is lacking. In this study, conducted at Advocate Health Care in Illinois, we quantitatively analyzed the benefits of community acquired pneumonia order sets as measured by mortality, readmission, and length of stay (LOS) outcomes. METHODS: In this study, we examined five years (2007–2011) of computerized physician order entry (CPOE) data from two city and two suburban community care hospitals. Mortality and readmissions benefits were analyzed by comparing “order set” and “no order set” groups of adult patients using logistic regression, Pearson’s chi-squared, and Fisher’s exact methods. LOS was calculated by applying one-way ANOVA and the Mann-Whitney U test, supplemented by analysis of comorbidity via the Charlson Comorbidity Index. RESULTS: The results indicate that patient treatment orders placed via electronic sets were effective in reducing mortality [OR=1.787; 95% CF 1.170-2.730; P=.061], readmissions [OR=1.362; 95% CF 1.015-1.827; P=.039], and LOS [F (1,5087)=6.885, P=.009, 4.79 days (no order set group) vs. 4.32 days (order set group)]. CONCLUSION: Evidence-based ordering practices have the potential to improve pneumonia outcomes through reduction of mortality, hospital readmissions, and cost of care. However, the practice must be part of a larger strategic effort to reduce variability in patient care processes. Further experimental and/or observational studies are required to reduce the barriers to retrospective patient care analyses.
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spelling pubmed-45764422015-09-21 Effectiveness of Evidence-based Pneumonia CPOE Order Sets Measured by Health Outcomes Krive, Jacob Shoolin, Joel S. Zink, Steven D. Online J Public Health Inform Research Article OBJECTIVE: Evidence-based sets of medical orders for the treatment of patients with common conditions have the potential to induce greater efficiency and convenience across the system, along with more consistent health outcomes. Despite ongoing utilization of order sets, quantitative evidence of their effectiveness is lacking. In this study, conducted at Advocate Health Care in Illinois, we quantitatively analyzed the benefits of community acquired pneumonia order sets as measured by mortality, readmission, and length of stay (LOS) outcomes. METHODS: In this study, we examined five years (2007–2011) of computerized physician order entry (CPOE) data from two city and two suburban community care hospitals. Mortality and readmissions benefits were analyzed by comparing “order set” and “no order set” groups of adult patients using logistic regression, Pearson’s chi-squared, and Fisher’s exact methods. LOS was calculated by applying one-way ANOVA and the Mann-Whitney U test, supplemented by analysis of comorbidity via the Charlson Comorbidity Index. RESULTS: The results indicate that patient treatment orders placed via electronic sets were effective in reducing mortality [OR=1.787; 95% CF 1.170-2.730; P=.061], readmissions [OR=1.362; 95% CF 1.015-1.827; P=.039], and LOS [F (1,5087)=6.885, P=.009, 4.79 days (no order set group) vs. 4.32 days (order set group)]. CONCLUSION: Evidence-based ordering practices have the potential to improve pneumonia outcomes through reduction of mortality, hospital readmissions, and cost of care. However, the practice must be part of a larger strategic effort to reduce variability in patient care processes. Further experimental and/or observational studies are required to reduce the barriers to retrospective patient care analyses. University of Illinois at Chicago Library 2015-07-01 /pmc/articles/PMC4576442/ /pubmed/26392842 http://dx.doi.org/10.5210/ojphi.v7i2.5527 Text en Copyright Statement for OJPHI: This is an Open Access article. Authors own copyright of their articles appearing in the Online Journal of Public Health Informatics. Readers may copy articles without permission of the copyright owner(s), as long as the author and OJPHI are acknowledged in the copy and the copy is used for educational, not-for-profit purposes.
spellingShingle Research Article
Krive, Jacob
Shoolin, Joel S.
Zink, Steven D.
Effectiveness of Evidence-based Pneumonia CPOE Order Sets Measured by Health Outcomes
title Effectiveness of Evidence-based Pneumonia CPOE Order Sets Measured by Health Outcomes
title_full Effectiveness of Evidence-based Pneumonia CPOE Order Sets Measured by Health Outcomes
title_fullStr Effectiveness of Evidence-based Pneumonia CPOE Order Sets Measured by Health Outcomes
title_full_unstemmed Effectiveness of Evidence-based Pneumonia CPOE Order Sets Measured by Health Outcomes
title_short Effectiveness of Evidence-based Pneumonia CPOE Order Sets Measured by Health Outcomes
title_sort effectiveness of evidence-based pneumonia cpoe order sets measured by health outcomes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4576442/
https://www.ncbi.nlm.nih.gov/pubmed/26392842
http://dx.doi.org/10.5210/ojphi.v7i2.5527
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