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Electronic health record-based clinical decision support alert for severe sepsis: a randomised evaluation
BACKGROUND: Sepsis remains the top cause of morbidity and mortality of hospitalised patients despite concerted efforts. Clinical decision support for sepsis has shown mixed results reflecting heterogeneous populations, methodologies and interventions. OBJECTIVES: To determine whether the addition of...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6860967/ https://www.ncbi.nlm.nih.gov/pubmed/30872387 http://dx.doi.org/10.1136/bmjqs-2018-008765 |
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author | Downing, Norman Lance Rolnick, Joshua Poole, Sarah F Hall, Evan Wessels, Alexander J Heidenreich, Paul Shieh, Lisa |
author_facet | Downing, Norman Lance Rolnick, Joshua Poole, Sarah F Hall, Evan Wessels, Alexander J Heidenreich, Paul Shieh, Lisa |
author_sort | Downing, Norman Lance |
collection | PubMed |
description | BACKGROUND: Sepsis remains the top cause of morbidity and mortality of hospitalised patients despite concerted efforts. Clinical decision support for sepsis has shown mixed results reflecting heterogeneous populations, methodologies and interventions. OBJECTIVES: To determine whether the addition of a real-time electronic health record (EHR)-based clinical decision support alert improves adherence to treatment guidelines and clinical outcomes in hospitalised patients with suspected severe sepsis. DESIGN: Patient-level randomisation, single blinded. SETTING: Medical and surgical inpatient units of an academic, tertiary care medical centre. PATIENTS: 1123 adults over the age of 18 admitted to inpatient wards (intensive care units (ICU) excluded) at an academic teaching hospital between November 2014 and March 2015. INTERVENTIONS: Patients were randomised to either usual care or the addition of an EHR-generated alert in response to a set of modified severe sepsis criteria that included vital signs, laboratory values and physician orders. MEASUREMENTS AND MAIN RESULTS: There was no significant difference between the intervention and control groups in primary outcome of the percentage of patients with new antibiotic orders at 3 hours after the alert (35% vs 37%, p=0.53). There was no difference in secondary outcomes of in-hospital mortality at 30 days, length of stay greater than 72 hours, rate of transfer to ICU within 48 hours of alert, or proportion of patients receiving at least 30 mL/kg of intravenous fluids. CONCLUSIONS: An EHR-based severe sepsis alert did not result in a statistically significant improvement in several sepsis treatment performance measures. |
format | Online Article Text |
id | pubmed-6860967 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-68609672019-12-03 Electronic health record-based clinical decision support alert for severe sepsis: a randomised evaluation Downing, Norman Lance Rolnick, Joshua Poole, Sarah F Hall, Evan Wessels, Alexander J Heidenreich, Paul Shieh, Lisa BMJ Qual Saf Quality Improvement Report BACKGROUND: Sepsis remains the top cause of morbidity and mortality of hospitalised patients despite concerted efforts. Clinical decision support for sepsis has shown mixed results reflecting heterogeneous populations, methodologies and interventions. OBJECTIVES: To determine whether the addition of a real-time electronic health record (EHR)-based clinical decision support alert improves adherence to treatment guidelines and clinical outcomes in hospitalised patients with suspected severe sepsis. DESIGN: Patient-level randomisation, single blinded. SETTING: Medical and surgical inpatient units of an academic, tertiary care medical centre. PATIENTS: 1123 adults over the age of 18 admitted to inpatient wards (intensive care units (ICU) excluded) at an academic teaching hospital between November 2014 and March 2015. INTERVENTIONS: Patients were randomised to either usual care or the addition of an EHR-generated alert in response to a set of modified severe sepsis criteria that included vital signs, laboratory values and physician orders. MEASUREMENTS AND MAIN RESULTS: There was no significant difference between the intervention and control groups in primary outcome of the percentage of patients with new antibiotic orders at 3 hours after the alert (35% vs 37%, p=0.53). There was no difference in secondary outcomes of in-hospital mortality at 30 days, length of stay greater than 72 hours, rate of transfer to ICU within 48 hours of alert, or proportion of patients receiving at least 30 mL/kg of intravenous fluids. CONCLUSIONS: An EHR-based severe sepsis alert did not result in a statistically significant improvement in several sepsis treatment performance measures. BMJ Publishing Group 2019-09 2019-03-14 /pmc/articles/PMC6860967/ /pubmed/30872387 http://dx.doi.org/10.1136/bmjqs-2018-008765 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0 |
spellingShingle | Quality Improvement Report Downing, Norman Lance Rolnick, Joshua Poole, Sarah F Hall, Evan Wessels, Alexander J Heidenreich, Paul Shieh, Lisa Electronic health record-based clinical decision support alert for severe sepsis: a randomised evaluation |
title | Electronic health record-based clinical decision support alert for severe sepsis: a randomised evaluation |
title_full | Electronic health record-based clinical decision support alert for severe sepsis: a randomised evaluation |
title_fullStr | Electronic health record-based clinical decision support alert for severe sepsis: a randomised evaluation |
title_full_unstemmed | Electronic health record-based clinical decision support alert for severe sepsis: a randomised evaluation |
title_short | Electronic health record-based clinical decision support alert for severe sepsis: a randomised evaluation |
title_sort | electronic health record-based clinical decision support alert for severe sepsis: a randomised evaluation |
topic | Quality Improvement Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6860967/ https://www.ncbi.nlm.nih.gov/pubmed/30872387 http://dx.doi.org/10.1136/bmjqs-2018-008765 |
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