Your browser doesn't support javascript.
loading
SWEAT ICU-An Observational Study of Physician Workload and the Association of Physician Outcomes in Academic ICUs.
Agarwal, Ankita; Chen, Jen-Ting; Coopersmith, Craig M; Denson, Joshua L; Dickert, Neal W; Ferrante, Lauren E; Gershengorn, Hayley B; Gosine, Adhiraj D; Hayward, Bradley J; Kaur, Navneet; Khan, Akram; Lamberton, Courtney; Landsittel, Douglas; Lyons, Patrick G; Mikkelsen, Mark E; Nadig, Nandita R; Pietropaoli, Anthony P; Poole, Brian R; Viglianti, Elizabeth M; Sevransky, Jonathan E.
Afiliación
  • Agarwal A; Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, GA.
  • Chen JT; Emory Critical Care Center, Emory Healthcare, Atlanta, GA.
  • Coopersmith CM; Division of Critical Care Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY.
  • Denson JL; Emory Critical Care Center, Emory Healthcare, Atlanta, GA.
  • Dickert NW; Department of Surgery, Emory University School of Medicine, Atlanta, GA.
  • Ferrante LE; Section of Pulmonary Diseases, Critical Care, and Environmental Medicine, Tulane University School of Medicine, New Orleans, LA.
  • Gershengorn HB; Department of Medicine, Emory University School of Medicine, Atlanta, GA.
  • Gosine AD; Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA.
  • Hayward BJ; Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT.
  • Kaur N; Division of Critical Care Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY.
  • Khan A; Division of Pulmonary, Critical Care, and Sleep Medicine, University of Miami Miller School of Medicine, Miami, FL.
  • Lamberton C; Division of Pulmonary, Critical Care, and Sleep Medicine, University of Miami Miller School of Medicine, Miami, FL.
  • Landsittel D; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Weill Cornell Medical College, New York, NY.
  • Lyons PG; Division of Pulmonary and Critical Care Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA.
  • Mikkelsen ME; Division of Pulmonary Critical Care, Oregon Health and Science University, Portland, OR.
  • Nadig NR; Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
  • Pietropaoli AP; Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN.
  • Poole BR; Department of Medicine, Division of Pulmonary and Critical Care Medicine, Washington University School of Medicine in St. Louis, St. Louis, MO.
  • Viglianti EM; Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO.
  • Sevransky JE; Department of Medicine, Division of Pulmonary and Critical Care Medicine, Northwestern University, Feinberg School of Medicine, Chicago, IL.
Crit Care Explor ; 4(10): e0774, 2022 Oct.
Article en En | MEDLINE | ID: mdl-36259061
The optimal staffing model for physicians in the ICU is unknown. Patient-to-intensivist ratios may offer a simple measure of workload and be associated with patient mortality and physician burnout. To evaluate the association of physician workload, as measured by the patient-to-intensivist ratio, with physician burnout and patient mortality. DESIGN: Cross-sectional observational study. SETTING: Fourteen academic centers in the United States from August 2020 to July 2021. SUBJECTS: We enrolled ICU physicians and collected data on adult ICU patients under the physician's care on the single physician-selected study day for each physician. MEASUREMENTS and MAIN RESULTS: The primary exposure was workload (self-reported number of patients' physician was responsible for) modeled as high (>14 patients) and low (≤14 patients). The primary outcome was burnout, measured by the Well-Being Index. The secondary outcome measure was 28-day patient mortality. We calculated odds ratio for burnout and patient outcomes using a multivariable logistic regression model and a binomial mixed effects model, respectively. We enrolled 122 physicians from 62 ICUs. The median patient-to-intensivist ratio was 12 (interquartile range, 10-14), and the overall prevalence of burnout was 26.4% (n = 32). Intensivist workload was not independently associated with burnout (adjusted odds ratio, 0.74; 95% CI, 0.24-2.23). Of 1,322 patients, 679 (52%) were discharged alive from the hospital, 257 (19%) remained hospitalized, and 347 (26%) were deceased by day 28; 28-day outcomes were unknown for 39 of patients (3%). Intensivist workload was not independently associated with 28-day patient mortality (adjusted odds ratio, 1.33; 95% CI, 0.92-1.91). CONCLUSIONS: In our cohort, approximately one in four physicians experienced burnout on the study day. There was no relationship be- tween workload as measured by patient-to-intensivist ratio and burnout. Factors other than the number of patients may be important drivers of burnout among ICU physicians.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_recursos_humanos_saude Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Crit Care Explor Año: 2022 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_recursos_humanos_saude Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Crit Care Explor Año: 2022 Tipo del documento: Article
...