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QNOTE: an instrument for measuring the quality of EHR clinical notes
BACKGROUND AND OBJECTIVE: The outpatient clinical note documents the clinician's information collection, problem assessment, and patient management, yet there is currently no validated instrument to measure the quality of the electronic clinical note. This study evaluated the validity of the QN...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4147610/ https://www.ncbi.nlm.nih.gov/pubmed/24384231 http://dx.doi.org/10.1136/amiajnl-2013-002321 |
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author | Burke, Harry B Hoang, Albert Becher, Dorothy Fontelo, Paul Liu, Fang Stephens, Mark Pangaro, Louis N Sessums, Laura L O'Malley, Patrick Baxi, Nancy S Bunt, Christopher W Capaldi, Vincent F Chen, Julie M Cooper, Barbara A Djuric, David A Hodge, Joshua A Kane, Shawn Magee, Charles Makary, Zizette R Mallory, Renee M Miller, Thomas Saperstein, Adam Servey, Jessica Gimbel, Ronald W |
author_facet | Burke, Harry B Hoang, Albert Becher, Dorothy Fontelo, Paul Liu, Fang Stephens, Mark Pangaro, Louis N Sessums, Laura L O'Malley, Patrick Baxi, Nancy S Bunt, Christopher W Capaldi, Vincent F Chen, Julie M Cooper, Barbara A Djuric, David A Hodge, Joshua A Kane, Shawn Magee, Charles Makary, Zizette R Mallory, Renee M Miller, Thomas Saperstein, Adam Servey, Jessica Gimbel, Ronald W |
author_sort | Burke, Harry B |
collection | PubMed |
description | BACKGROUND AND OBJECTIVE: The outpatient clinical note documents the clinician's information collection, problem assessment, and patient management, yet there is currently no validated instrument to measure the quality of the electronic clinical note. This study evaluated the validity of the QNOTE instrument, which assesses 12 elements in the clinical note, for measuring the quality of clinical notes. It also compared its performance with a global instrument that assesses the clinical note as a whole. MATERIALS AND METHODS: Retrospective multicenter blinded study of the clinical notes of 100 outpatients with type 2 diabetes mellitus who had been seen in clinic on at least three occasions. The 300 notes were rated by eight general internal medicine and eight family medicine practicing physicians. The QNOTE instrument scored the quality of the note as the sum of a set of 12 note element scores, and its inter-rater agreement was measured by the intraclass correlation coefficient. The Global instrument scored the note in its entirety, and its inter-rater agreement was measured by the Fleiss κ. RESULTS: The overall QNOTE inter-rater agreement was 0.82 (CI 0.80 to 0.84), and its note quality score was 65 (CI 64 to 66). The Global inter-rater agreement was 0.24 (CI 0.19 to 0.29), and its note quality score was 52 (CI 49 to 55). The QNOTE quality scores were consistent, and the overall QNOTE score was significantly higher than the overall Global score (p=0.04). CONCLUSIONS: We found the QNOTE to be a valid instrument for evaluating the quality of electronic clinical notes, and its performance was superior to that of the Global instrument. |
format | Online Article Text |
id | pubmed-4147610 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-41476102015-09-01 QNOTE: an instrument for measuring the quality of EHR clinical notes Burke, Harry B Hoang, Albert Becher, Dorothy Fontelo, Paul Liu, Fang Stephens, Mark Pangaro, Louis N Sessums, Laura L O'Malley, Patrick Baxi, Nancy S Bunt, Christopher W Capaldi, Vincent F Chen, Julie M Cooper, Barbara A Djuric, David A Hodge, Joshua A Kane, Shawn Magee, Charles Makary, Zizette R Mallory, Renee M Miller, Thomas Saperstein, Adam Servey, Jessica Gimbel, Ronald W J Am Med Inform Assoc Research and Applications BACKGROUND AND OBJECTIVE: The outpatient clinical note documents the clinician's information collection, problem assessment, and patient management, yet there is currently no validated instrument to measure the quality of the electronic clinical note. This study evaluated the validity of the QNOTE instrument, which assesses 12 elements in the clinical note, for measuring the quality of clinical notes. It also compared its performance with a global instrument that assesses the clinical note as a whole. MATERIALS AND METHODS: Retrospective multicenter blinded study of the clinical notes of 100 outpatients with type 2 diabetes mellitus who had been seen in clinic on at least three occasions. The 300 notes were rated by eight general internal medicine and eight family medicine practicing physicians. The QNOTE instrument scored the quality of the note as the sum of a set of 12 note element scores, and its inter-rater agreement was measured by the intraclass correlation coefficient. The Global instrument scored the note in its entirety, and its inter-rater agreement was measured by the Fleiss κ. RESULTS: The overall QNOTE inter-rater agreement was 0.82 (CI 0.80 to 0.84), and its note quality score was 65 (CI 64 to 66). The Global inter-rater agreement was 0.24 (CI 0.19 to 0.29), and its note quality score was 52 (CI 49 to 55). The QNOTE quality scores were consistent, and the overall QNOTE score was significantly higher than the overall Global score (p=0.04). CONCLUSIONS: We found the QNOTE to be a valid instrument for evaluating the quality of electronic clinical notes, and its performance was superior to that of the Global instrument. BMJ Publishing Group 2014-09 2014-01-02 /pmc/articles/PMC4147610/ /pubmed/24384231 http://dx.doi.org/10.1136/amiajnl-2013-002321 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) 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 and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/ |
spellingShingle | Research and Applications Burke, Harry B Hoang, Albert Becher, Dorothy Fontelo, Paul Liu, Fang Stephens, Mark Pangaro, Louis N Sessums, Laura L O'Malley, Patrick Baxi, Nancy S Bunt, Christopher W Capaldi, Vincent F Chen, Julie M Cooper, Barbara A Djuric, David A Hodge, Joshua A Kane, Shawn Magee, Charles Makary, Zizette R Mallory, Renee M Miller, Thomas Saperstein, Adam Servey, Jessica Gimbel, Ronald W QNOTE: an instrument for measuring the quality of EHR clinical notes |
title | QNOTE: an instrument for measuring the quality of EHR clinical notes |
title_full | QNOTE: an instrument for measuring the quality of EHR clinical notes |
title_fullStr | QNOTE: an instrument for measuring the quality of EHR clinical notes |
title_full_unstemmed | QNOTE: an instrument for measuring the quality of EHR clinical notes |
title_short | QNOTE: an instrument for measuring the quality of EHR clinical notes |
title_sort | qnote: an instrument for measuring the quality of ehr clinical notes |
topic | Research and Applications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4147610/ https://www.ncbi.nlm.nih.gov/pubmed/24384231 http://dx.doi.org/10.1136/amiajnl-2013-002321 |
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