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Aligning EHR Data for Pediatric Leukemia With Standard Protocol Therapy
Children with acute lymphoblastic leukemia (ALL) are treated according to risk-based protocols defined by the Children's Oncology Group (COG). Alignment between real-world clinical practice and protocol milestones is not widely understood. Aggregate deidentified electronic health record (EHR) d...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8140784/ https://www.ncbi.nlm.nih.gov/pubmed/33656914 http://dx.doi.org/10.1200/CCI.20.00144 |
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author | Wood, Nicole M. Davis, Sierra Lewing, Karen Noel-MacDonnell, Janelle Glynn, Earl F. Caragea, Doina Hoffman, Mark A. |
author_facet | Wood, Nicole M. Davis, Sierra Lewing, Karen Noel-MacDonnell, Janelle Glynn, Earl F. Caragea, Doina Hoffman, Mark A. |
author_sort | Wood, Nicole M. |
collection | PubMed |
description | Children with acute lymphoblastic leukemia (ALL) are treated according to risk-based protocols defined by the Children's Oncology Group (COG). Alignment between real-world clinical practice and protocol milestones is not widely understood. Aggregate deidentified electronic health record (EHR) data offer a useful resource to evaluate real-world clinical practice. METHODS: A cohort of children with ALL was identified in the Cerner Health Facts deidentified aggregate EHR data. Manual review identified candidate procedural milestones. Automated methods were developed to classify likely standard-risk precursor B-cell ALL patients. Milestone procedures were adjusted relative to initiation of therapy and then aligned to the COG protocols for standard induction therapy. RESULTS: We identified 7,728 patients with pediatric ALL with 188,187 encounters. Records for lumbar punctures (LP) and bone marrow biopsies were frequently present in the data and were appropriate targets to evaluate guideline performance. Alluvial graph analysis of 14 health systems indicated that none of the systems have data from all three COG-recommended lumbar procedures for all patients but alignment demonstrated that most systems test at the recommended times. CONCLUSION: Source-system variation introduces inconsistency and incompleteness into aggregate EHR data. Data visualization was helpful in characterizing and interpreting the data. Health systems with patients meeting the inclusion criteria demonstrated strong alignment with the recommended milestones for LP. Large-scale aggregate EHR data are useful to evaluate alignment of recommended versus actual clinical milestones in support of treating children with ALL. This work can inform other guideline and protocol driven care. |
format | Online Article Text |
id | pubmed-8140784 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-81407842022-03-03 Aligning EHR Data for Pediatric Leukemia With Standard Protocol Therapy Wood, Nicole M. Davis, Sierra Lewing, Karen Noel-MacDonnell, Janelle Glynn, Earl F. Caragea, Doina Hoffman, Mark A. JCO Clin Cancer Inform ORIGINAL REPORTS Children with acute lymphoblastic leukemia (ALL) are treated according to risk-based protocols defined by the Children's Oncology Group (COG). Alignment between real-world clinical practice and protocol milestones is not widely understood. Aggregate deidentified electronic health record (EHR) data offer a useful resource to evaluate real-world clinical practice. METHODS: A cohort of children with ALL was identified in the Cerner Health Facts deidentified aggregate EHR data. Manual review identified candidate procedural milestones. Automated methods were developed to classify likely standard-risk precursor B-cell ALL patients. Milestone procedures were adjusted relative to initiation of therapy and then aligned to the COG protocols for standard induction therapy. RESULTS: We identified 7,728 patients with pediatric ALL with 188,187 encounters. Records for lumbar punctures (LP) and bone marrow biopsies were frequently present in the data and were appropriate targets to evaluate guideline performance. Alluvial graph analysis of 14 health systems indicated that none of the systems have data from all three COG-recommended lumbar procedures for all patients but alignment demonstrated that most systems test at the recommended times. CONCLUSION: Source-system variation introduces inconsistency and incompleteness into aggregate EHR data. Data visualization was helpful in characterizing and interpreting the data. Health systems with patients meeting the inclusion criteria demonstrated strong alignment with the recommended milestones for LP. Large-scale aggregate EHR data are useful to evaluate alignment of recommended versus actual clinical milestones in support of treating children with ALL. This work can inform other guideline and protocol driven care. Wolters Kluwer Health 2021-03-03 /pmc/articles/PMC8140784/ /pubmed/33656914 http://dx.doi.org/10.1200/CCI.20.00144 Text en © 2021 by American Society of Clinical Oncology https://creativecommons.org/licenses/by-nc-nd/4.0/Creative Commons Attribution Non-Commercial No Derivatives 4.0 License: https://creativecommons.org/licenses/by-nc-nd/4.0/ |
spellingShingle | ORIGINAL REPORTS Wood, Nicole M. Davis, Sierra Lewing, Karen Noel-MacDonnell, Janelle Glynn, Earl F. Caragea, Doina Hoffman, Mark A. Aligning EHR Data for Pediatric Leukemia With Standard Protocol Therapy |
title | Aligning EHR Data for Pediatric Leukemia With Standard Protocol Therapy |
title_full | Aligning EHR Data for Pediatric Leukemia With Standard Protocol Therapy |
title_fullStr | Aligning EHR Data for Pediatric Leukemia With Standard Protocol Therapy |
title_full_unstemmed | Aligning EHR Data for Pediatric Leukemia With Standard Protocol Therapy |
title_short | Aligning EHR Data for Pediatric Leukemia With Standard Protocol Therapy |
title_sort | aligning ehr data for pediatric leukemia with standard protocol therapy |
topic | ORIGINAL REPORTS |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8140784/ https://www.ncbi.nlm.nih.gov/pubmed/33656914 http://dx.doi.org/10.1200/CCI.20.00144 |
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