The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Health Care–Associated Infections: A Meta-analysis of Costs and Financial Impact on the US Health Care System
Abstract
IMPORTANCE: Health care-associated infections (HAIs) account for a large proportion of the harms caused by health care and are associated with high costs. Better evaluation of the costs of these infections could help providers and payers to justify investing in prevention. OBJECTIVE: To estimate costs associated with the most significant and targetable HAIs. DATA SOURCES: For estimation of attributable costs, we conducted a systematic review of the literature using PubMed for the years 1986 through April 2013. For HAI incidence estimates, we used the National Healthcare Safety Network of the Centers for Disease Control and Prevention (CDC). STUDY SELECTION: Studies performed outside the United States were excluded. Inclusion criteria included a robust method of comparison using a matched control group or an appropriate regression strategy, generalizable populations typical of inpatient wards and critical care units, methodologic consistency with CDC definitions, and soundness of handling economic outcomes. DATA EXTRACTION AND SYNTHESIS: Three review cycles were completed, with the final iteration carried out from July 2011 to April 2013. Selected publications underwent a secondary review by the research team. MAIN OUTCOMES AND MEASURES: Costs, inflated to 2012 US dollars. RESULTS: Using Monte Carlo simulation, we generated point estimates and 95% CIs for attributable costs and length of hospital stay. On a per-case basis, central line-associated bloodstream infections were found to be the most costly HAIs at $45,814 (95% CI, $30,919-$65,245), followed by ventilator-associated pneumonia at $40,144 (95% CI, $36,286-$44,220), surgical site infections at $20,785 (95% CI, $18,902-$22,667), Clostridium difficile infection at $11,285 (95% CI, $9118-$13,574), and catheter-associated urinary tract infections at $896 (95% CI, $603-$1189). The total annual costs for the 5 major infections were $9.8 billion (95% CI, $8.3-$11.5 billion), with surgical site infections contributing the most to overall costs (33.7% of the total), followed by ventilator-associated pneumonia (31.6%), central line-associated bloodstream infections (18.9%), C difficile infections (15.4%), and catheter-associated urinary tract infections (<1%). CONCLUSIONS AND RELEVANCE: While quality improvement initiatives have decreased HAI incidence and costs, much more remains to be done. As hospitals realize savings from prevention of these complications under payment reforms, they may be more likely to invest in such strategies.
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
A basic introduction to fixed-effect and random-effects models for meta-analysis
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2010) · Research Synthesis Methods · doi:10.1002/jrsm.12 · Cited by 6,793
An Intervention to Decrease Catheter-Related Bloodstream Infections in the ICU
Pronovost, P., Needham, D., Berenholtz, S., Sinopoli, D., Chu, H., Cosgrove, S., Sexton, B., Hyzy, R., Welsh, R., Roth, G., et al. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa061115 · Cited by 4,387
Temporal Trends in Rates of Patient Harm Resulting from Medical Care
Landrigan, C. P., Parry, G. J., Bones, C. B., Hackbarth, A. D., Goldmann, D. A., & Sharek, P. J. (2010) · New England Journal of Medicine · doi:10.1056/nejmsa1004404 · Cited by 1,144
Health Care–Associated Invasive MRSA Infections, 2005-2008
Kallen, A. J. (2010) · JAMA · doi:10.1001/jama.2010.1115 · Cited by 439
Cited by
Diabetes and risk of surgical site infection: a systematic review and meta-analysis
Martin, E. T., Kaye, K. S., Knott, C., Nguyen, H., Santarossa, M., Evans, R., Bertran, E., & Jaber, L. (2016) · Infection Control & Hospital Epidemiology · doi:10.1017/ice.2015.249 · Cited by 666
Lee, C. H., Steiner, T., Petrof, E. O., Smieja, M., Roscoe, D., Nematallah, A., Weese, J. S., Collins, S., Moayyedi, P., Crowther, M., et al. (2016) · JAMA · doi:10.1001/jama.2015.18098 · Cited by 627
Kao, D., Roach, B., Silva, M., Beck, P., Rioux, K., Kaplan, G. G., Chang, H.-J., Coward, S., Goodman, K. J., Xu, H., et al. (2017) · JAMA · doi:10.1001/jama.2017.17077 · Cited by 615
Blumenthal, K. G., Peter, J. G., Trubiano, J. A., & Phillips, E. J. (2019) · The Lancet · doi:10.1016/s0140-6736(18)32218-9 · Cited by 614
The impact of a reported penicillin allergy on surgical site infection risk.
Blumenthal, K. G., Ryan, E. E., Li, Y., Lee, H., Kuhlen, J. L., & Shenoy, E. S. (2018) · Clinical Infectious Diseases · doi:10.1093/cid/cix794 · Cited by 481
Metadata
- Authors
- Zimlichman, E., Henderson, D., Tamir, O., Franz, C., Song, P., Yamin, C. K., Keohane, C., Denham, C. R., & Bates, D. W.
- Venue
- JAMA Internal Medicine
- Publisher
- American Medical Association (AMA)
- Published
- 2013-12-09
- Volume
- 173
- Issue
- 22
- Pages
- 2039
- ISSN
- 2168-6106 (ISSN-L)
- OpenAlex
- W2144929147
- Cited by
- 1,847
- References
- 4
- FWCI
- 70.46
- 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: Health Care–Associated Infections: A Meta-analysis of Costs and Financial Impact on the US Health Care System. https://app.cochat.ai/papers/10.1001/jamainternmed.2013.9763
- The paper
- Zimlichman, E., Henderson, D., Tamir, O., Franz, C., Song, P., Yamin, C. K., Keohane, C., Denham, C. R., & Bates, D. W. (2013). Health Care–Associated Infections: A Meta-analysis of Costs and Financial Impact on the US Health Care System. JAMA Internal Medicine. https://doi.org/10.1001/jamainternmed.2013.9763
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.