TY - JOUR
T1 - SWEAT ICU - An Observational Study of Physician Workload and the Association of Physician Outcomes in Academic ICUs
AU - SCCM Discovery Network
AU - Agarwal, Ankita
AU - Chen, Jen Ting
AU - Coopersmith, Craig M.
AU - Denson, Joshua L.
AU - Dickert, Neal W.
AU - Ferrante, Lauren E.
AU - Gershengorn, Hayley B.
AU - Gosine, Adhiraj D.
AU - Hayward, Bradley J.
AU - Kaur, Navneet
AU - Khan, Akram
AU - Lamberton, Courtney
AU - Landsittel, Douglas
AU - Lyons, Patrick G.
AU - Mikkelsen, Mark E.
AU - Nadig, Nandita R.
AU - Pietropaoli, Anthony P.
AU - Poole, Brian R.
AU - Viglianti, Elizabeth M.
AU - Sevransky, Jonathan E.
N1 - Publisher Copyright:
© 2022 The Authors. Published by Wolters Kluwer Health, Inc.
PY - 2022/10/13
Y1 - 2022/10/13
N2 - OBJECTIVES: 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.
AB - OBJECTIVES: 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.
KW - burnout
KW - intensive care unit
KW - mortality
KW - patient-to-intensivist ratio
KW - workforce
KW - workload
UR - http://www.scopus.com/inward/record.url?scp=85140256761&partnerID=8YFLogxK
U2 - 10.1097/CCE.0000000000000774
DO - 10.1097/CCE.0000000000000774
M3 - Article
C2 - 36259061
AN - SCOPUS:85140256761
SN - 2639-8028
VL - 4
SP - E0774
JO - Critical Care Explorations
JF - Critical Care Explorations
IS - 10
ER -