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978. Assessing the Impact of a Mobile Device-Based Clinical Decision Support Tool on Guideline Adherence and Mental Workload

BACKGROUND: Fever in infants <90 days old can indicate a serious bacterial infection (SBI) such as urinary tract infection, bacteremia, or meningitis. Clinical management of febrile infants varies widely. Implementing clinical practice guidelines (CPGs) can help standardize care, and electronic c...

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Autores principales: Richardson, Katherine, Fouquet, Sarah, Kerns, Ellen, Mcculloh, Russell
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6253045/
http://dx.doi.org/10.1093/ofid/ofy209.094
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author Richardson, Katherine
Fouquet, Sarah
Kerns, Ellen
Mcculloh, Russell
author_facet Richardson, Katherine
Fouquet, Sarah
Kerns, Ellen
Mcculloh, Russell
author_sort Richardson, Katherine
collection PubMed
description BACKGROUND: Fever in infants <90 days old can indicate a serious bacterial infection (SBI) such as urinary tract infection, bacteremia, or meningitis. Clinical management of febrile infants varies widely. Implementing clinical practice guidelines (CPGs) can help standardize care, and electronic clinical decision support (eCDS) tools are a potential means of distributing CPGs. Little is known regarding the individual-level impact of eCDS tool use on medical decision-making. Children’s Mercy Kansas City developed a mobile eCDS tool (CMPeDS: Pediatric Decision Support) that was used internationally in a practice standardization project focused on the management of febrile infants. METHODS: We conducted a prospective cross-over simulation study amongst pediatric healthcare providers. Attending and resident physicians performed simulated patient scenarios using either CMPeDS or a standard text reference (the Harriet Lane Handbook). Participants’ responses in the simulation were evaluated based on adherence to evidence-based guidelines. Participants’ mental workload was assessed using the NASA Task Load Index survey (NASA-TLX, in which lower scores are optimal) to assesses mental, physical, and temporal demand, as well as performance, effort, and frustration when completing a series of tasks. Paired t-test and ANOVA were used to determine significance for case performance scores and NASA-TLX scores, respectively. A System Usability Scale (SUS) was used to determine usability of the CMPeDS app. RESULTS: A total 28 of 32 planned participants have completed trial procedures to date. Mean performance scores on the cases were significantly higher with CMPeDS vs. standard reference, (87.7% vs. 72.4% [t(27) 3.22, P = 0.003]). Participants reported lower scores on the NASA-TLX when using CMPeDS compared with standard reference tool (Figure 1). Mean score on SUS was 88.2 (scale 0–100) indicating excellent tool usability (Figure 2). CONCLUSION: Using the eCDS tool CMPeDS was associated with significantly increased adherence to evidence-based guidelines for febrile infant management and decreased mental workload in simulation. Our findings highlight the potential value of eCDS deployment as part of CPG implementation projects. DISCLOSURES: All authors: No reported disclosures.
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spelling pubmed-62530452018-11-28 978. Assessing the Impact of a Mobile Device-Based Clinical Decision Support Tool on Guideline Adherence and Mental Workload Richardson, Katherine Fouquet, Sarah Kerns, Ellen Mcculloh, Russell Open Forum Infect Dis Abstracts BACKGROUND: Fever in infants <90 days old can indicate a serious bacterial infection (SBI) such as urinary tract infection, bacteremia, or meningitis. Clinical management of febrile infants varies widely. Implementing clinical practice guidelines (CPGs) can help standardize care, and electronic clinical decision support (eCDS) tools are a potential means of distributing CPGs. Little is known regarding the individual-level impact of eCDS tool use on medical decision-making. Children’s Mercy Kansas City developed a mobile eCDS tool (CMPeDS: Pediatric Decision Support) that was used internationally in a practice standardization project focused on the management of febrile infants. METHODS: We conducted a prospective cross-over simulation study amongst pediatric healthcare providers. Attending and resident physicians performed simulated patient scenarios using either CMPeDS or a standard text reference (the Harriet Lane Handbook). Participants’ responses in the simulation were evaluated based on adherence to evidence-based guidelines. Participants’ mental workload was assessed using the NASA Task Load Index survey (NASA-TLX, in which lower scores are optimal) to assesses mental, physical, and temporal demand, as well as performance, effort, and frustration when completing a series of tasks. Paired t-test and ANOVA were used to determine significance for case performance scores and NASA-TLX scores, respectively. A System Usability Scale (SUS) was used to determine usability of the CMPeDS app. RESULTS: A total 28 of 32 planned participants have completed trial procedures to date. Mean performance scores on the cases were significantly higher with CMPeDS vs. standard reference, (87.7% vs. 72.4% [t(27) 3.22, P = 0.003]). Participants reported lower scores on the NASA-TLX when using CMPeDS compared with standard reference tool (Figure 1). Mean score on SUS was 88.2 (scale 0–100) indicating excellent tool usability (Figure 2). CONCLUSION: Using the eCDS tool CMPeDS was associated with significantly increased adherence to evidence-based guidelines for febrile infant management and decreased mental workload in simulation. Our findings highlight the potential value of eCDS deployment as part of CPG implementation projects. DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2018-11-26 /pmc/articles/PMC6253045/ http://dx.doi.org/10.1093/ofid/ofy209.094 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Abstracts
Richardson, Katherine
Fouquet, Sarah
Kerns, Ellen
Mcculloh, Russell
978. Assessing the Impact of a Mobile Device-Based Clinical Decision Support Tool on Guideline Adherence and Mental Workload
title 978. Assessing the Impact of a Mobile Device-Based Clinical Decision Support Tool on Guideline Adherence and Mental Workload
title_full 978. Assessing the Impact of a Mobile Device-Based Clinical Decision Support Tool on Guideline Adherence and Mental Workload
title_fullStr 978. Assessing the Impact of a Mobile Device-Based Clinical Decision Support Tool on Guideline Adherence and Mental Workload
title_full_unstemmed 978. Assessing the Impact of a Mobile Device-Based Clinical Decision Support Tool on Guideline Adherence and Mental Workload
title_short 978. Assessing the Impact of a Mobile Device-Based Clinical Decision Support Tool on Guideline Adherence and Mental Workload
title_sort 978. assessing the impact of a mobile device-based clinical decision support tool on guideline adherence and mental workload
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6253045/
http://dx.doi.org/10.1093/ofid/ofy209.094
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