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Assessing and Improving Provider Knowledge for a Cardiothoracic Intensive Care Unit Electronic Dashboard Initiative
Background: Electronic dashboards measure intensive care unit (ICU) performance by tracking quality indicators, especially pinpointing sub-standard metrics. This helps ICUs scrutinize and change current practices in an effort to improve failing metrics. However, its technological value is lost if en...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138414/ https://www.ncbi.nlm.nih.gov/pubmed/37107970 http://dx.doi.org/10.3390/healthcare11081136 |
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author | Garlejo, April Bonner, Jacob Paddock, Ashley Park, John Lyda, Nolan Zaky, Ahmed McMullan, Susan |
author_facet | Garlejo, April Bonner, Jacob Paddock, Ashley Park, John Lyda, Nolan Zaky, Ahmed McMullan, Susan |
author_sort | Garlejo, April |
collection | PubMed |
description | Background: Electronic dashboards measure intensive care unit (ICU) performance by tracking quality indicators, especially pinpointing sub-standard metrics. This helps ICUs scrutinize and change current practices in an effort to improve failing metrics. However, its technological value is lost if end users are unaware of its importance. This results in decreased staff participation, leading to unsuccessful initiation of the dashboard. Therefore, the purpose of this project was to improve cardiothoracic ICU providers’ understanding of electronic dashboards by providing an educational training bundle in preparation for an electronic dashboard initiation. Methods: A Likert survey assessing providers’ knowledge, attitudes, skills, and application of electronic dashboards was conducted. Subsequently, an educational training bundle, consisting of a digital flier and laminated pamphlets, was made available to providers for four months. After bundle review, providers were assessed using the same pre-bundle Likert survey. Results: A comparison of summated scores from pre-bundle (mean = 38.75) and post-bundle surveys (mean = 46.13) yielded an increased summated score overall (mean = 7.38, p ≤ 0.001). Conclusion: An educational bundle improved providers’ understanding and increased their likelihood of using electronic dashboards upon its initiation. Further studies are needed to continue increasing staff participation such as providing specific education to navigate the interface for data retrieval and interpretation. |
format | Online Article Text |
id | pubmed-10138414 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-101384142023-04-28 Assessing and Improving Provider Knowledge for a Cardiothoracic Intensive Care Unit Electronic Dashboard Initiative Garlejo, April Bonner, Jacob Paddock, Ashley Park, John Lyda, Nolan Zaky, Ahmed McMullan, Susan Healthcare (Basel) Project Report Background: Electronic dashboards measure intensive care unit (ICU) performance by tracking quality indicators, especially pinpointing sub-standard metrics. This helps ICUs scrutinize and change current practices in an effort to improve failing metrics. However, its technological value is lost if end users are unaware of its importance. This results in decreased staff participation, leading to unsuccessful initiation of the dashboard. Therefore, the purpose of this project was to improve cardiothoracic ICU providers’ understanding of electronic dashboards by providing an educational training bundle in preparation for an electronic dashboard initiation. Methods: A Likert survey assessing providers’ knowledge, attitudes, skills, and application of electronic dashboards was conducted. Subsequently, an educational training bundle, consisting of a digital flier and laminated pamphlets, was made available to providers for four months. After bundle review, providers were assessed using the same pre-bundle Likert survey. Results: A comparison of summated scores from pre-bundle (mean = 38.75) and post-bundle surveys (mean = 46.13) yielded an increased summated score overall (mean = 7.38, p ≤ 0.001). Conclusion: An educational bundle improved providers’ understanding and increased their likelihood of using electronic dashboards upon its initiation. Further studies are needed to continue increasing staff participation such as providing specific education to navigate the interface for data retrieval and interpretation. MDPI 2023-04-15 /pmc/articles/PMC10138414/ /pubmed/37107970 http://dx.doi.org/10.3390/healthcare11081136 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Project Report Garlejo, April Bonner, Jacob Paddock, Ashley Park, John Lyda, Nolan Zaky, Ahmed McMullan, Susan Assessing and Improving Provider Knowledge for a Cardiothoracic Intensive Care Unit Electronic Dashboard Initiative |
title | Assessing and Improving Provider Knowledge for a Cardiothoracic Intensive Care Unit Electronic Dashboard Initiative |
title_full | Assessing and Improving Provider Knowledge for a Cardiothoracic Intensive Care Unit Electronic Dashboard Initiative |
title_fullStr | Assessing and Improving Provider Knowledge for a Cardiothoracic Intensive Care Unit Electronic Dashboard Initiative |
title_full_unstemmed | Assessing and Improving Provider Knowledge for a Cardiothoracic Intensive Care Unit Electronic Dashboard Initiative |
title_short | Assessing and Improving Provider Knowledge for a Cardiothoracic Intensive Care Unit Electronic Dashboard Initiative |
title_sort | assessing and improving provider knowledge for a cardiothoracic intensive care unit electronic dashboard initiative |
topic | Project Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138414/ https://www.ncbi.nlm.nih.gov/pubmed/37107970 http://dx.doi.org/10.3390/healthcare11081136 |
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