The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Successful use of feedback to improve antibiotic prescribing and reduce Clostridium difficile infection: a controlled interrupted time series
Open accessAbstract
OBJECTIVES: To investigate the effect of reinforcing a narrow-spectrum antibiotic policy on antibiotic prescription and Clostridium difficile infection (CDI) rates by feedback of antibiotic use to doctors, as part of a departmental audit and feedback programme. DESIGN: A prospective controlled interrupted time-series (ITS) study, with pre-defined pre- and post-intervention periods, each of 21 months. SETTING: Three acute medical wards for elderly people in a teaching hospital. PARTICIPANTS: Six thousand one hundred and twenty-nine consecutive unselected acute medical admissions aged >or=80 years. INTERVENTIONS: A 'narrow-spectrum' antibiotic policy (reinforced by an established programme of audit and feedback of antibiotic usage and CDI rates) was introduced, following an unplanned rise in amoxicillin/clavulanate (Augmentin) use. It targeted broad-spectrum antibiotics for reduction (cephalosporins and amoxicillin/clavulanate) and narrow-spectrum antibiotics for increase (benzyl penicillin, amoxicillin and trimethoprim). Changes in the use of targeted antibiotics (intervention group) were compared with those of untargeted antibiotics (control group) using segmented regression analysis. Changes in CDI rates were examined by the Poisson regression model. Methicillin-resistant Staphylococcus aureus (MRSA) acquisition rates acted as an additional control. RESULTS: There was a reduction in the use of all targeted broad-spectrum antibiotics and an increase in all targeted narrow-spectrum antibiotics, statistically significant for sudden change and/or linear trend. All other antibiotic use remained unchanged. CDI rates fell with incidence rate ratios of 0.35 (0.17, 0.73) (P=0.009). MRSA incidence did not change [0.79 (0.49, 1.28); P=0.32]. CONCLUSIONS: This is the first controlled prospective ITS study to use feedback to reinforce antibiotic policy and reduce CDI. Multicentre ITS or cluster randomized trials of this and other methods need to be undertaken to establish the most effective means of optimizing antibiotic use and reducing CDI.
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Audit and feedback: effects on professional practice and healthcare outcomes
Ivers, N., Jamtvedt, G., Flottorp, S., Young, J. M., Odgaard-Jensen, J., French, S. D., O'Brien, M. A., Johansen, M., Grimshaw, J., & Oxman, A. D. (2012) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd000259.pub3 · Cited by 5,485
Segmented regression analysis of interrupted time series studies in medication use research
Wagner, A. K., Soumerai, S. B., Zhang, F., & Ross-Degnan, D. (2002) · Journal of Clinical Pharmacy and Therapeutics · doi:10.1046/j.1365-2710.2002.00430.x · Cited by 3,279 · cited 2×
“This controlled ITS design is therefore considered a strong quasi-experimental design,(6) – 8,13,17,18 especially for evaluating interventions to change antibiotic use.(13) The statistical methods used and the fact that the intervention was part of a planned study and not a response to unusually high infection or anti…”
BackgroundMethodEffectiveness and efficiency of guideline dissemination and implementation strategies
Grimshaw, J., Thomas, R., MacLennan, G., Fraser, C., Ramsay, C., Vale, L., Whitty, P., Eccles, M., Matowe, L., Shirran, L., et al. (2004) · Health Technology Assessment · doi:10.3310/hta8060 · Cited by 3,044
Audit and feedback: effects on professional practice and health care outcomes
Jamtvedt, G., Young, J. M., Kristoffersen, D. T., O'Brien, M. A., & Oxman, A. D. (2006) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd000259.pub2 · Cited by 912
Cited by
McDonald, L. C., Gerding, D. N., Johnson, S., Bakken, J. S., Carroll, K. C., Coffin, S. E., Dubberke, E. R., Garey, K. W., Gould, C. V., Kelly, C., et al. (2018) · Clinical Infectious Diseases · doi:10.1093/cid/cix1085 · Cited by 2,690
Interventions to improve antibiotic prescribing practices for hospital inpatients
Davey, P., Marwick, C. A., Scott, C. L., Charani, E., McNeil, K., Brown, E., Gould, I. M., Ramsay, C. R., & Michie, S. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd003543.pub4 · Cited by 1,068
Lewnard, J. A., Charani, E., Gleason, A., Hsu, L. Y., Khan, W. A., Karkey, A., Chandler, C. I. R., Mashe, T., Khan, E. A., Bulabula, A. N. H., et al. (2024) · The Lancet · doi:10.1016/s0140-6736(24)00862-6 · Cited by 220
Metadata
- Authors
- Fowler, S., Webber, A., Cooper, B. S., Phimister, A., Price, K., Carter, Y., Kibbler, C. C., Simpson, A. J. H., & Stone, S. P.
- Venue
- Journal of Antimicrobial Chemotherapy
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-03-26
- Volume
- 59
- Issue
- 5
- Pages
- 990-995
- ISSN
- 0305-7453 (ISSN-L)
- 1460-2091
- OpenAlex
- W2110574020
- Cited by
- 190
- References
- 4
- FWCI
- 15.58
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Fowler, S., Webber, A., Cooper, B. S., Phimister, A., Price, K., Carter, Y., Kibbler, C. C., Simpson, A. J. H., & Stone, S. P. (2007). Successful use of feedback to improve antibiotic prescribing and reduce Clostridium difficile infection: a controlled interrupted time series. Journal of Antimicrobial Chemotherapy. https://doi.org/10.1093/jac/dkm014
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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.
