The DOI matches its Crossref record.
The Comparative Assessment and Improvement of Quality of Surgical Care in the Department of Veterans Affairs
Abstract
Prompted by the need to assess comparatively the quality of surgical care in 133 Veterans Affairs (VA) hospitals, the Department of Veterans Affairs conducted the National VA Surgical Risk Study between October 1, 1991, and December 31, 1993, in 44 VA medical centers. The study developed and validated models for risk adjustment of 30-day morbidity and 30-day mortality after major surgery in 8 noncardiac surgical specialties. Similar models were developed for cardiac surgery by the VA's Continuous Improvement in Cardiac Surgery Program. Based on the results of the National VA Surgical Risk Study and the Continuous Improvement in Cardiac Surgery Program, the VA established in 1994 a VA National Surgical Quality Improvement Program (NSQIP), in which all the medical centers performing major surgery participated. An NSQIP nurse at each center oversees the prospective collection of data and their electronic transmission for analysis at 1 of 2 data coordinating centers. Feedback to the providers and managers is aimed at achieving continuous quality improvement. It consists of (1) comparative, site-specific, and outcome-based annual reports; (2) periodic assessment of performance; (3) self-assessment tools; (4) structured site visits; and (5) dissemination of best practices. The NSQIP also provides an infrastructure to enable the VA investigators to query the database and produce scientific presentations and publications. Since the inception of the NSQIP data collection process, the 30-day postoperative mortality after major surgery in the VA has decreased by 27%, and the 30-day morbidity by 45%. The future of the NSQIP lies in expanding it to the private sector and in enhancing its capabilities by incorporating additional measures of outcome, structure, process, and cost.
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
Cited by
Dimick, J. B., Chen, S. L., Taheri, P. A., Henderson, W. G., Khuri, S. F., & Campbell, D. A. (2004) · Journal of the American College of Surgeons · doi:10.1016/j.jamcollsurg.2004.05.276 · Cited by 933
Self-citationLilford, R., Mohammed, M. A., Spiegelhalter, D., & Thomson, R. (2004) · The Lancet · doi:10.1016/s0140-6736(04)15901-1 · Cited by 448
The Trauma Quality Improvement Program of the American College of Surgeons Committee on Trauma
Shafi, S., Nathens, A. B., Cryer, G. H., Hemmila, M. R., Pasquale, M. D., Clark, D. E., Neal, M., Goble, S., Meredith, W. J., & Fildes, J. J. (2009) · Journal of the American College of Surgeons · doi:10.1016/j.jamcollsurg.2009.07.001 · Cited by 216
Hickey, G. L., Grant, S. W., Murphy, G. J., Bhabra, M., Pagano, D., McAllister, K., Buchan, I., & Bridgewater, B. (2013) · European Journal of Cardio-Thoracic Surgery · doi:10.1093/ejcts/ezs584 · Cited by 154
Ogola, G. O., Crandall, M. L., Richter, K. M., & Shafi, S. (2018) · Journal of Trauma and Acute Care Surgery · doi:10.1097/ta.0000000000001985 · Cited by 39
Metadata
- Authors
- Khuri, S. F.
- Venue
- Archives of Surgery
- Publisher
- American Medical Association (AMA)
- Published
- 2002-01-01
- Volume
- 137
- Issue
- 1
- Pages
- 20
- ISSN
- 0004-0010 (ISSN-L)
- OpenAlex
- W2109768496
- Cited by
- 450
- References
- 0
- FWCI
- 45.21
- 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: The Comparative Assessment and Improvement of Quality of Surgical Care in the Department of Veterans Affairs. https://app.cochat.ai/papers/10.1001/archsurg.137.1.20
- The paper
- Khuri, S. F. (2002). The Comparative Assessment and Improvement of Quality of Surgical Care in the Department of Veterans Affairs. Archives of Surgery. https://doi.org/10.1001/archsurg.137.1.20
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.