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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.
  • Khazen M; Harvard Medical School, Center for Primary Care, Boston, Massachusetts, USA.
  • Sullivan EE; The Max Stern Yezreel Valley College, Emek Yezreel, Northern, Israel.
  • Arabadjis S; Suffolk University Sawyer Business School, Boston, Massachusetts, USA.
  • Ramos J; Harvard Medical School Department of Global Health and Social Medicine, Boston, Massachusetts, USA.
  • Mirica M; University of California Santa Barbara, Santa Barbara, California, USA.
  • Olson A; Emory University School of Medicine, Atlanta, Georgia, USA.
  • Linzer M; Brigham and Women's Hospital, Boston, Massachusetts, USA.
  • Schiff GD; University of Minnesota Medical School Twin Cities, Minneapolis, Minnesota, USA.
BMJ Open ; 13(5): e071241, 2023 05 05.
Article in English | MEDLINE | ID: covidwho-2316043
ABSTRACT

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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Physicians / Working Conditions Type of study: Cohort study / Etiology study / Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: BMJ Open Year: 2023 Document Type: Article Affiliation country: Bmjopen-2022-071241

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Physicians / Working Conditions Type of study: Cohort study / Etiology study / Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: BMJ Open Year: 2023 Document Type: Article Affiliation country: Bmjopen-2022-071241