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How does work environment relate to diagnostic quality? A prospective, mixed methods study in primary care
OBJECTIVES: The quest to measure and improve diagnosis has proven challenging; new approaches are needed to better understand and measure key elements of the diagnostic process in clinical encounters. The aim of this study was to develop a tool assessing key elements of the diagnostic assessment pro...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163453/ https://www.ncbi.nlm.nih.gov/pubmed/37147090 http://dx.doi.org/10.1136/bmjopen-2022-071241 |
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author | Khazen, Maram Sullivan, Erin E Arabadjis, Sophia Ramos, Jason Mirica, Maria Olson, Andrew Linzer, Mark Schiff, Gordon D |
author_facet | Khazen, Maram Sullivan, Erin E Arabadjis, Sophia Ramos, Jason Mirica, Maria Olson, Andrew Linzer, Mark Schiff, Gordon D |
author_sort | Khazen, Maram |
collection | PubMed |
description | OBJECTIVES: The quest to measure and improve diagnosis has proven challenging; new approaches are needed to better understand and measure key elements of the diagnostic process in clinical encounters. The aim of this study was to develop a tool assessing key elements of the diagnostic assessment process and apply it to a series of diagnostic encounters examining clinical notes and encounters’ recorded transcripts. Additionally, we aimed to correlate and contextualise these findings with measures of encounter time and physician burnout. DESIGN: We audio-recorded encounters, reviewed their transcripts and associated them with their clinical notes and findings were correlated with concurrent Mini Z Worklife measures and physician burnout. SETTING: Three primary urgent-care settings. PARTICIPANTS: We conducted in-depth evaluations of 28 clinical encounters delivered by seven physicians. RESULTS: Comparing encounter transcripts with clinical notes, in 24 of 28 (86%) there was high note/transcript concordance for the diagnostic elements on our tool. Reliably included elements were red flags (92% of notes/encounters), aetiologies (88%), likelihood/uncertainties (71%) and follow-up contingencies (71%), whereas psychosocial/contextual information (35%) and mentioning common pitfalls (7%) were often missing. In 22% of encounters, follow-up contingencies were in the note, but absent from the recorded encounter. There was a trend for higher burnout scores being associated with physicians less likely to address key diagnosis items, such as psychosocial history/context. CONCLUSIONS: A new tool shows promise as a means of assessing key elements of diagnostic quality in clinical encounters. Work conditions and physician reactions appear to correlate with diagnostic behaviours. Future research should continue to assess relationships between time pressure and diagnostic quality. |
format | Online Article Text |
id | pubmed-10163453 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-101634532023-05-07 How does work environment relate to diagnostic quality? A prospective, mixed methods study in primary care Khazen, Maram Sullivan, Erin E Arabadjis, Sophia Ramos, Jason Mirica, Maria Olson, Andrew Linzer, Mark Schiff, Gordon D BMJ Open Diagnostics OBJECTIVES: The quest to measure and improve diagnosis has proven challenging; new approaches are needed to better understand and measure key elements of the diagnostic process in clinical encounters. The aim of this study was to develop a tool assessing key elements of the diagnostic assessment process and apply it to a series of diagnostic encounters examining clinical notes and encounters’ recorded transcripts. Additionally, we aimed to correlate and contextualise these findings with measures of encounter time and physician burnout. DESIGN: We audio-recorded encounters, reviewed their transcripts and associated them with their clinical notes and findings were correlated with concurrent Mini Z Worklife measures and physician burnout. SETTING: Three primary urgent-care settings. PARTICIPANTS: We conducted in-depth evaluations of 28 clinical encounters delivered by seven physicians. RESULTS: Comparing encounter transcripts with clinical notes, in 24 of 28 (86%) there was high note/transcript concordance for the diagnostic elements on our tool. Reliably included elements were red flags (92% of notes/encounters), aetiologies (88%), likelihood/uncertainties (71%) and follow-up contingencies (71%), whereas psychosocial/contextual information (35%) and mentioning common pitfalls (7%) were often missing. In 22% of encounters, follow-up contingencies were in the note, but absent from the recorded encounter. There was a trend for higher burnout scores being associated with physicians less likely to address key diagnosis items, such as psychosocial history/context. CONCLUSIONS: A new tool shows promise as a means of assessing key elements of diagnostic quality in clinical encounters. Work conditions and physician reactions appear to correlate with diagnostic behaviours. Future research should continue to assess relationships between time pressure and diagnostic quality. BMJ Publishing Group 2023-05-05 /pmc/articles/PMC10163453/ /pubmed/37147090 http://dx.doi.org/10.1136/bmjopen-2022-071241 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) 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, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Diagnostics Khazen, Maram Sullivan, Erin E Arabadjis, Sophia Ramos, Jason Mirica, Maria Olson, Andrew Linzer, Mark Schiff, Gordon D How does work environment relate to diagnostic quality? A prospective, mixed methods study in primary care |
title | How does work environment relate to diagnostic quality? A prospective, mixed methods study in primary care |
title_full | How does work environment relate to diagnostic quality? A prospective, mixed methods study in primary care |
title_fullStr | How does work environment relate to diagnostic quality? A prospective, mixed methods study in primary care |
title_full_unstemmed | How does work environment relate to diagnostic quality? A prospective, mixed methods study in primary care |
title_short | How does work environment relate to diagnostic quality? A prospective, mixed methods study in primary care |
title_sort | how does work environment relate to diagnostic quality? a prospective, mixed methods study in primary care |
topic | Diagnostics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163453/ https://www.ncbi.nlm.nih.gov/pubmed/37147090 http://dx.doi.org/10.1136/bmjopen-2022-071241 |
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