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Trainee-led Engagement of the Care Team Improves Application of an Institutional Blood Culture Clinical Decision Algorithm to Pediatric Oncology Inpatients: A Single-institution Quality Improvement Project
Meaningful engagement in quality improvement (QI) projects by trainees is often challenging. A fellow-led QI project aimed to improve adherence to a blood culture clinical decision algorithm and reduce unnecessary cultures in pediatric oncology inpatients. METHODS: We visualized preintervention rate...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970086/ https://www.ncbi.nlm.nih.gov/pubmed/35369412 http://dx.doi.org/10.1097/pq9.0000000000000545 |
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author | Lemberg, Kathryn M. Koontz, Danielle W. Young, David J. DiDomizio, P. Galen King, Anne Chen, Allen R. Gamper, Christopher J. Colantuoni, Elizabeth Milstone, Aaron M. Cooper, Stacy L. |
author_facet | Lemberg, Kathryn M. Koontz, Danielle W. Young, David J. DiDomizio, P. Galen King, Anne Chen, Allen R. Gamper, Christopher J. Colantuoni, Elizabeth Milstone, Aaron M. Cooper, Stacy L. |
author_sort | Lemberg, Kathryn M. |
collection | PubMed |
description | Meaningful engagement in quality improvement (QI) projects by trainees is often challenging. A fellow-led QI project aimed to improve adherence to a blood culture clinical decision algorithm and reduce unnecessary cultures in pediatric oncology inpatients. METHODS: We visualized preintervention rates of blood cultures drawn on pediatric oncology inpatients using a control chart. Following the introduction of the algorithm to our division, an Ishikawa fishbone diagram of cause-and-effect identified two areas for improvement: prescriber education on the algorithm and targeted feedback on its use. We developed two interventions to support algorithm awareness and use: (1) bundled educational interventions and (2) targeted chart review and feedback. Fellows reviewed >750 blood culture episodes and adjudicated each as “adherent” or “nonadherent” to the algorithm. In addition, fellows provided direct feedback to prescribers regarding nonadherent episodes and discussed strategies for algorithm adherence. RESULTS: Blood culture rates in preintervention, intervention, and follow-up periods were 33.35, 25.24, and 22.67 cultures/100 patient-days, respectively. The proportion of nonadherent culture episodes decreased from 47.14% to 11.11%. The use of the algorithm did not prolong the time to cultures drawn on patients with new fever. Seventy-five percent of fellows provided feedback to inpatient teams on algorithm use. Following this project, trainees reported feeling more qualified to apply QI principles to patient care. CONCLUSIONS: Implementation of a clinical decision algorithm reduced the rate of cultures drawn on pediatric oncology inpatients. Fellow-led education of the care team decreased the proportion of nonadherent culture episodes and provided active engagement in QI. |
format | Online Article Text |
id | pubmed-8970086 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-89700862022-04-01 Trainee-led Engagement of the Care Team Improves Application of an Institutional Blood Culture Clinical Decision Algorithm to Pediatric Oncology Inpatients: A Single-institution Quality Improvement Project Lemberg, Kathryn M. Koontz, Danielle W. Young, David J. DiDomizio, P. Galen King, Anne Chen, Allen R. Gamper, Christopher J. Colantuoni, Elizabeth Milstone, Aaron M. Cooper, Stacy L. Pediatr Qual Saf Individual QI projects from single institutions Meaningful engagement in quality improvement (QI) projects by trainees is often challenging. A fellow-led QI project aimed to improve adherence to a blood culture clinical decision algorithm and reduce unnecessary cultures in pediatric oncology inpatients. METHODS: We visualized preintervention rates of blood cultures drawn on pediatric oncology inpatients using a control chart. Following the introduction of the algorithm to our division, an Ishikawa fishbone diagram of cause-and-effect identified two areas for improvement: prescriber education on the algorithm and targeted feedback on its use. We developed two interventions to support algorithm awareness and use: (1) bundled educational interventions and (2) targeted chart review and feedback. Fellows reviewed >750 blood culture episodes and adjudicated each as “adherent” or “nonadherent” to the algorithm. In addition, fellows provided direct feedback to prescribers regarding nonadherent episodes and discussed strategies for algorithm adherence. RESULTS: Blood culture rates in preintervention, intervention, and follow-up periods were 33.35, 25.24, and 22.67 cultures/100 patient-days, respectively. The proportion of nonadherent culture episodes decreased from 47.14% to 11.11%. The use of the algorithm did not prolong the time to cultures drawn on patients with new fever. Seventy-five percent of fellows provided feedback to inpatient teams on algorithm use. Following this project, trainees reported feeling more qualified to apply QI principles to patient care. CONCLUSIONS: Implementation of a clinical decision algorithm reduced the rate of cultures drawn on pediatric oncology inpatients. Fellow-led education of the care team decreased the proportion of nonadherent culture episodes and provided active engagement in QI. Lippincott Williams & Wilkins 2022-03-30 /pmc/articles/PMC8970086/ /pubmed/35369412 http://dx.doi.org/10.1097/pq9.0000000000000545 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Individual QI projects from single institutions Lemberg, Kathryn M. Koontz, Danielle W. Young, David J. DiDomizio, P. Galen King, Anne Chen, Allen R. Gamper, Christopher J. Colantuoni, Elizabeth Milstone, Aaron M. Cooper, Stacy L. Trainee-led Engagement of the Care Team Improves Application of an Institutional Blood Culture Clinical Decision Algorithm to Pediatric Oncology Inpatients: A Single-institution Quality Improvement Project |
title | Trainee-led Engagement of the Care Team Improves Application of an Institutional Blood Culture Clinical Decision Algorithm to Pediatric Oncology Inpatients: A Single-institution Quality Improvement Project |
title_full | Trainee-led Engagement of the Care Team Improves Application of an Institutional Blood Culture Clinical Decision Algorithm to Pediatric Oncology Inpatients: A Single-institution Quality Improvement Project |
title_fullStr | Trainee-led Engagement of the Care Team Improves Application of an Institutional Blood Culture Clinical Decision Algorithm to Pediatric Oncology Inpatients: A Single-institution Quality Improvement Project |
title_full_unstemmed | Trainee-led Engagement of the Care Team Improves Application of an Institutional Blood Culture Clinical Decision Algorithm to Pediatric Oncology Inpatients: A Single-institution Quality Improvement Project |
title_short | Trainee-led Engagement of the Care Team Improves Application of an Institutional Blood Culture Clinical Decision Algorithm to Pediatric Oncology Inpatients: A Single-institution Quality Improvement Project |
title_sort | trainee-led engagement of the care team improves application of an institutional blood culture clinical decision algorithm to pediatric oncology inpatients: a single-institution quality improvement project |
topic | Individual QI projects from single institutions |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970086/ https://www.ncbi.nlm.nih.gov/pubmed/35369412 http://dx.doi.org/10.1097/pq9.0000000000000545 |
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