Role of Attending Practice Variability in Prone Positioning Initiation
Prone positioning is underused, despite mortality benefits. Prior studies highlight that patient-independent factors may influence prone positioning rates, but attending-specific contributions are unknown. Does significant variability in prone positioning rates exist among attending physicians? This...
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Published in | CHEST critical care Vol. 3; no. 3; p. 100158 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Inc
01.09.2025
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Online Access | Get full text |
ISSN | 2949-7884 2949-7884 |
DOI | 10.1016/j.chstcc.2025.100158 |
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Abstract | Prone positioning is underused, despite mortality benefits. Prior studies highlight that patient-independent factors may influence prone positioning rates, but attending-specific contributions are unknown.
Does significant variability in prone positioning rates exist among attending physicians?
This is a retrospective cohort study of 514 adults receiving mechanical ventilation in a tertiary-care medical or surgical ICU from January 1, 2015, through June 30, 2024. Inclusion criteria included Pao2 to Fio2 ratio of ≤ 150 with Fio2 of ≥ 60% and positive end-expiratory pressure of ≥ 5 cm H2O within 0 to 36 hours and 36 to 72 hours of intubation. The primary outcome was prone positioning within 72 hours of intubation or 24 hours of meeting prone positioning criteria. We hypothesized that attending variability was a significant predictor of prone positioning. We fit a mixed-effects logistic regression model to evaluate attending-level variability in prone positioning use, adjusting for 6 potential patient-centered prone positioning barriers and facilitators (age, BMI, COVID-19 status, code status, Pao2 to Fio2 ratio, and vasopressor use) and ICU location (medical or surgical).
Among 514 patients eligible for prone positioning, 87 patients (17%) underwent prone positioning. Significant attending-level variability in prone positioning was noted among the 48 attendings included in the analysis, with risk- and reliability-adjusted rates ranging from 14.9% to 74.2% and a median OR among attending physicians of 2.6 (95% CI, 1.7-5.2). This effect size was associated more strongly with prone positioning than a 30-mm Hg decrease in Pao2 to Fio2 ratio. Even among patients with clinical documentation of ARDS on the day of prone positioning eligibility, the median OR among attending physicians was 2.4 (95% CI, 1.5-7.3). Additional patient factors predicting prone positioning included COVID-19 status, code status, and Pao2 to Fio2 ratio.
Our results show that large variation in prone positioning practices exists among attending providers, and future work should consider attending-focused and system-wide interventions as potential novel targets to improve prone positioning rates. |
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AbstractList | Prone positioning is underused, despite mortality benefits. Prior studies highlight that patient-independent factors may influence prone positioning rates, but attending-specific contributions are unknown.
Does significant variability in prone positioning rates exist among attending physicians?
This is a retrospective cohort study of 514 adults receiving mechanical ventilation in a tertiary-care medical or surgical ICU from January 1, 2015, through June 30, 2024. Inclusion criteria included Pao2 to Fio2 ratio of ≤ 150 with Fio2 of ≥ 60% and positive end-expiratory pressure of ≥ 5 cm H2O within 0 to 36 hours and 36 to 72 hours of intubation. The primary outcome was prone positioning within 72 hours of intubation or 24 hours of meeting prone positioning criteria. We hypothesized that attending variability was a significant predictor of prone positioning. We fit a mixed-effects logistic regression model to evaluate attending-level variability in prone positioning use, adjusting for 6 potential patient-centered prone positioning barriers and facilitators (age, BMI, COVID-19 status, code status, Pao2 to Fio2 ratio, and vasopressor use) and ICU location (medical or surgical).
Among 514 patients eligible for prone positioning, 87 patients (17%) underwent prone positioning. Significant attending-level variability in prone positioning was noted among the 48 attendings included in the analysis, with risk- and reliability-adjusted rates ranging from 14.9% to 74.2% and a median OR among attending physicians of 2.6 (95% CI, 1.7-5.2). This effect size was associated more strongly with prone positioning than a 30-mm Hg decrease in Pao2 to Fio2 ratio. Even among patients with clinical documentation of ARDS on the day of prone positioning eligibility, the median OR among attending physicians was 2.4 (95% CI, 1.5-7.3). Additional patient factors predicting prone positioning included COVID-19 status, code status, and Pao2 to Fio2 ratio.
Our results show that large variation in prone positioning practices exists among attending providers, and future work should consider attending-focused and system-wide interventions as potential novel targets to improve prone positioning rates. BackgroundProne positioning is underused, despite mortality benefits. Prior studies highlight that patient-independent factors may influence prone positioning rates, but attending-specific contributions are unknown. Research QuestionDoes significant variability in prone positioning rates exist among attending physicians? Study Design and MethodsThis is a retrospective cohort study of 514 adults receiving mechanical ventilation in a tertiary-care medical or surgical ICU from January 1, 2015, through June 30, 2024. Inclusion criteria included Pa o2 to F io2 ratio of ≤ 150 with F io2 of ≥ 60% and positive end-expiratory pressure of ≥ 5 cm H 2O within 0 to 36 hours and 36 to 72 hours of intubation. The primary outcome was prone positioning within 72 hours of intubation or 24 hours of meeting prone positioning criteria. We hypothesized that attending variability was a significant predictor of prone positioning. We fit a mixed-effects logistic regression model to evaluate attending-level variability in prone positioning use, adjusting for 6 potential patient-centered prone positioning barriers and facilitators (age, BMI, COVID-19 status, code status, Pa o2 to F io2 ratio, and vasopressor use) and ICU location (medical or surgical). ResultsAmong 514 patients eligible for prone positioning, 87 patients (17%) underwent prone positioning. Significant attending-level variability in prone positioning was noted among the 48 attendings included in the analysis, with risk- and reliability-adjusted rates ranging from 14.9% to 74.2% and a median OR among attending physicians of 2.6 (95% CI, 1.7-5.2). This effect size was associated more strongly with prone positioning than a 30-mm Hg decrease in Pa o2 to F io2 ratio. Even among patients with clinical documentation of ARDS on the day of prone positioning eligibility, the median OR among attending physicians was 2.4 (95% CI, 1.5-7.3). Additional patient factors predicting prone positioning included COVID-19 status, code status, and Pa o2 to F io2 ratio. InterpretationOur results show that large variation in prone positioning practices exists among attending providers, and future work should consider attending-focused and system-wide interventions as potential novel targets to improve prone positioning rates. |
ArticleNumber | 100158 |
Author | Barker, Anna K. Kerlin, Meeta Prasad Sjoding, Michael W. Harlan, Emily A. Valley, Thomas S. |
Author_xml | – sequence: 1 givenname: Anna K. orcidid: 0000-0003-0719-6838 surname: Barker fullname: Barker, Anna K. email: baanna@med.umich.edu organization: Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI – sequence: 2 givenname: Emily A. surname: Harlan fullname: Harlan, Emily A. organization: Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI – sequence: 3 givenname: Meeta Prasad surname: Kerlin fullname: Kerlin, Meeta Prasad organization: Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA – sequence: 4 givenname: Thomas S. surname: Valley fullname: Valley, Thomas S. organization: Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI – sequence: 5 givenname: Michael W. surname: Sjoding fullname: Sjoding, Michael W. organization: Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI |
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Cites_doi | 10.1016/j.jcrc.2020.09.013 10.1111/j.1475-6773.2010.01158.x 10.1371/journal.pone.0216418 10.1016/j.chstcc.2024.100059 10.1016/j.chest.2017.11.037 10.1513/AnnalsATS.202204-349OC 10.1513/AnnalsATS.202005-571OC 10.1513/AnnalsATS.201806-434OC 10.1016/S2213-2600(20)30459-8 10.1177/1751143716644461 10.1007/s12630-021-02062-7 10.1111/jgs.17912 10.1513/AnnalsATS.201508-560OC 10.1164/rccm.201910-2097LE 10.1136/jech.2004.029454 10.1186/s13054-023-04322-y 10.1016/S0140-6736(08)60105-1 10.1007/s00134-020-06306-w 10.1016/j.jcrc.2014.02.017 10.1056/NEJMoa1214103 10.1161/CIRCOUTCOMES.121.008242 10.1097/ACM.0000000000000617 10.1016/S2589-7500(21)00056-X 10.1097/CCM.0000000000003617 10.1186/cc8227 10.1016/j.chstcc.2023.100008 10.1007/s00134-017-4996-5 10.1001/jama.2016.0291 10.1007/s00134-005-2581-9 10.1136/bmjoq-2023-002638 10.1513/AnnalsATS.202201-070RL 10.1001/jama.2016.3463 |
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Snippet | Prone positioning is underused, despite mortality benefits. Prior studies highlight that patient-independent factors may influence prone positioning rates, but... BackgroundProne positioning is underused, despite mortality benefits. Prior studies highlight that patient-independent factors may influence prone positioning... |
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SubjectTerms | ARDS Critical Care critical care delivery mechanical ventilation prone positioning provider variability Pulmonary/Respiratory |
Title | Role of Attending Practice Variability in Prone Positioning Initiation |
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