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Cumulated time to chart closure: a novel electronic health record-derived metric associated with clinician burnout.
Shah, Madhura; De Arrigunaga, Sofia; Forman, Leah S; West, Matthew; Rowe, Susannah G; Mishuris, Rebecca G.
Afiliação
  • Shah M; Boston University Aram V. Chobanian & Edward Avedisian School of Medicine, Boston, MA 02118, United States.
  • De Arrigunaga S; Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Medical School, Miami, FL 33136, United States.
  • Forman LS; Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA 02118, United States.
  • West M; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, United States.
  • Rowe SG; Office of Equity, Vitality and Inclusion, Boston University Medical Group, Boston, MA 02118, United States.
  • Mishuris RG; Wellness and Professional Vitality, Boston Medical Center, Boston, MA 02118, United States.
JAMIA Open ; 7(1): ooae009, 2024 Apr.
Article em En | MEDLINE | ID: mdl-38333109
ABSTRACT

Objective:

We sought to determine whether average cumulated time to chart closure (CTCC), a novel construct to measure clinician workload burden, and electronic health record (EHR) measures were associated with a validated measure of burnout. Materials and

methods:

Physicians at a large academic institution participated in a well-being survey that was linked to their EHR use data. CTCC was defined as the average time from the start of patient encounters to chart closure over a set of encounters. Established EHR use measures including daily total time in the EHR (EHR-Time8), time in the EHR outside scheduled hours, work outside of work (WOW8), and time spent on inbox (IB-Time8) were calculated. We examined the relationship between CTCC, EHR use metrics, and burnout using descriptive statistics and adjusted logistic regression models.

Results:

We included data from 305 attendings, encompassing 242 432 ambulatory encounters (2021). Among them, 42% (128 physicians) experienced burnout. The median CTCC for all clinicians was 32.5 h. Unadjusted analyses revealed significant associations between CTCC, WOW8, IB-Time8, and burnout. In a final adjusted model, only CTCC remained statistically significant with an odds ratio estimate of 1.42 (95% CI, 1.00-2.01).

Discussion:

These results suggest that CTCC is predictive of burnout and that purely measuring duration of interaction with the EHR itself is not sufficient to capture burnout.

Conclusion:

Workload burden as manifested by average CTCC has the potential to be a practical, quantifiable measure that will allow for identification of clinicians at risk of burnout and to assess the success of interventions designed to address burnout.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2024 Tipo de documento: Article