The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Critical care delivery in the United States: Distribution of services and compliance with Leapfrog recommendations*
Abstract
OBJECTIVES: To describe the organization and distribution of intensive care unit (ICU) patients and services in the United States and to determine ICU physician staffing before the publication and dissemination of the Leapfrog Group ICU physician staffing recommendations. DESIGN AND SETTING: Stratified, weighted survey of ICU directors in the United States, performed as part of the Committee on Manpower for the Pulmonary and Critical Care Societies (COMPACCS) study. Using lenient definitions, we defined an ICU as "high intensity" if > or =80% of patients were cared for by a critical care physician (intensivist) and defined an ICU as compliant with Leapfrog if it was both high-intensity and providing some form of in-house physician coverage during all hours. SUBJECTS: Three hundred ninety-three ICU directors. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We obtained a 33.5% response rate (393/1,173). We estimated there were 5,980 ICUs in the United States, caring for approximately 55,000 patients per day, with at least one ICU in all acute care hospitals. The predominant reasons for admission were respiratory insufficiency, postoperative care, and heart failure. Most ICUs were combined medical-surgical ICUs (n = 3,865; 65%), were located in nonteaching, community hospitals (n = 4,245; 71%), and were in hospitals of <300 beds (n = 3,710; 62%). One in four ICUs were high-intensity (n = 1,578; 26%), half had no intensivist coverage (n = 3,183; 53%), and the remainder had at least some intensivist presence (n = 1,219; 20%). High-intensity units were more common in larger hospitals (p = .001) and in teaching hospitals (p < .001) and more likely to be surgical (p < .001) or trauma ICUs (p < .001). Few ICUs had any in-house physician coverage outside weekday daylight hours (20% during weekend days, 12% during weeknights, and 10% during weekend nights). Only 4% (n = 255) of all adult ICUs in the United States appeared to meet the full Leapfrog standards (a high-intensity ICU staffing pattern plus dedicated attending coverage during daytime plus dedicated coverage by any physician during nighttime). CONCLUSIONS: ICU services are widely distributed but heterogeneously organized in the United States. Although high-intensity ICUs have been associated previously with improved outcomes, they were infrequent in our study, especially in smaller hospitals, and virtually no ICU met the Leapfrog standards before their dissemination. These findings highlight the considerable challenge to any efforts designed to promote either 24-hr physician coverage or high-intensity model organization.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Angus, D. C., Linde-Zwirble, W. T., Lidicker, J., Clermont, G., Carcillo, J., & Pinsky, M. R. (2001) · Critical Care Medicine · doi:10.1097/00003246-200107000-00002 · Cited by 8,503
Self-citationThe epidemiology of sepsis in the United States from 1979 through 2000
Martin, G. S., Mannino, D. M., Eaton, S., & Moss, M. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa022139 · Cited by 5,841
Physician Staffing Patterns and Clinical Outcomes in Critically Ill Patients: A Systematic Review
Pronovost, P. J., Angus, D. C., Dorman, T., Robinson, K. A., Dremsizov, T. T., & Young, T. L. (2002) · JAMA · doi:10.1001/jama.288.17.2151 · Cited by 1,506
Self-citationAn Evaluation of Outcome from Intensive Care in Major Medical Centers
KNAUS, W. A., DRAPER, E. A., WAGNER, D. P., & ZIMMERMAN, J. E. (1986) · Annals of Internal Medicine · doi:10.7326/0003-4819-104-3-410 · Cited by 1,191
Use of intensive care at the end of life in the United States: An epidemiologic study*
Angus, D. C., Barnato, A. E., Linde-Zwirble, W. T., Weissfeld, L. A., Watson, R. S., Rickert, T., & Rubenfeld, G. D. (2004) · Critical Care Medicine · doi:10.1097/01.ccm.0000114816.62331.08 · Cited by 1,155
Self-citationAngus, D. C. (2000) · JAMA · doi:10.1001/jama.284.21.2762 · Cited by 929
Self-citationSelective Referral to High-Volume Hospitals: Estimating Potentially Avoidable Deaths
Dudley, R. A., Johansen, K. L., Brand, R., Rennie, D. J., & Milstein, A. (2000) · JAMA · doi:10.1001/jama.283.9.1159 · Cited by 768
Pronovost, P. J. (1999) · JAMA · doi:10.1001/jama.281.14.1310 · Cited by 688
Relationship Between Trauma Center Volume and Outcomes
Nathens, A. B. (2001) · JAMA · doi:10.1001/jama.285.9.1164 · Cited by 589
The Effect of Organized Systems of Trauma Care on Motor Vehicle Crash Mortality
Nathens, A. B. (2000) · JAMA · doi:10.1001/jama.283.15.1990 · Cited by 481
Cited by
Chalfin, D. B., Trzeciak, S., Likourezos, A., Baumann, B. M., & Dellinger, R. P. (2007) · Critical Care Medicine · doi:10.1097/01.ccm.0000266585.74905.5a · Cited by 1,022
Weekend versus Weekday Admission and Mortality from Myocardial Infarction
Kostis, W. J., Demissie, K., Marcella, S. W., Shao, Y.-H., Wilson, A. C., & Moreyra, A. E. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa063355 · Cited by 601
The Epidemiology of Chronic Critical Illness in the United States*
Kahn, J. M., Le, T., Angus, D. C., Cox, C. E., Hough, C. L., White, D. B., Yende, S., & Carson, S. S. (2015) · Critical Care Medicine · doi:10.1097/ccm.0000000000000710 · Cited by 420
Self-citationThree-Year Outcomes for Medicare Beneficiaries Who Survive Intensive Care
Wunsch, H. (2010) · JAMA · doi:10.1001/jama.2010.216 · Cited by 386
ICU Occupancy and Mechanical Ventilator Use in the United States*
Wunsch, H., Wagner, J., Herlim, M., Chong, D. H., Kramer, A. A., & Halpern, S. D. (2013) · Critical Care Medicine · doi:10.1097/ccm.0b013e318298a139 · Cited by 287
Metadata
- Authors
- Angus, D. C., Shorr, A. F., White, A., Dremsizov, T. T., Schmitz, R. J., & Kelley, M. A.
- Venue
- Critical Care Medicine
- Published
- 2006-04
- Volume
- 34
- Issue
- 4
- Pages
- 1016-1024
- ISSN
- 0090-3493 (ISSN-L)
- OpenAlex
- W2011231636
- Cited by
- 441
- References
- 30
- FWCI
- 36.81
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Critical care delivery in the United States: Distribution of services and compliance with Leapfrog recommendations*. https://app.cochat.ai/papers/10.1097/01.ccm.0000206105.05626.15
- The paper
- Angus, D. C., Shorr, A. F., White, A., Dremsizov, T. T., Schmitz, R. J., & Kelley, M. A. (2006). Critical care delivery in the United States: Distribution of services and compliance with Leapfrog recommendations*. Critical Care Medicine. https://doi.org/10.1097/01.ccm.0000206105.05626.15
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.