ArticleCritical care explorations2022
SWEAT ICU-An Observational Study of Physician Workload and the Association of Physician Outcomes in Academic ICUs.
Article in Critical care explorations, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Flexible Fidelity: Adaptation of the ICU-PAUSE Handoff Tool During Implementation Across 11 ICUs.Critical care explorations · 2026Article
- The intensive care unit balancing act: integrated staffing models for better patient ratios.Critical care science · 2026Article
- Article
- Formal guidelines from an expert panel: intensive care unit medical staffing, organisation and working hours to improve quality of life at work in France.Annals of intensive care · 2025Article
- Intensive care unit caseload and workload and their association with outcomes in critically unwell patients: a large registry-based cohort analysis.Critical care (London, England) · 2024Article
- Infection Prevention and Control Strategies According to the Type of Multidrug-Resistant Bacteria andAntibiotics (Basel, Switzerland) · 2024Review
- Optimizing Pharmacist Team-Integration for ICU Patient Management: Rationale, Study Design, and Methods for a Multicentered Exploration of Pharmacist-to-Patient Ratio.Critical care explorations · 2023Article
- Intensivist physician-to-patient ratios and mortality in the intensive care unit.Intensive care medicine · 2023Article
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Authors and funding
20 authors.
Funding
Abstract
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.
designCross-sectional observational study.
settingFourteen 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
resultsThe 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% (
conclusionsIn 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.
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