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Cited by 37Infection Control in HealthcareHealthcare Quality and ManagementAdvanced Statistical Process Monitoring

The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.

Results of a multicentre randomised controlled trial of statistical process control charts and structured diagnostic tools to reduce ward-acquired meticillin-resistant Staphylococcus aureus: the CHART Project

Curran, E., Harper, P., Loveday, H., Gilmour, H., Jones, S., Benneyan, J., Hood, J., Pratt, R.·2008·Journal of Hospital Infection
DOI 10.1016/j.jhin.2008.06.013
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Abstract

Statistical process control (SPC) charts have previously been advocated for infection control quality improvement. To determine their effectiveness, a multicentre randomised controlled trial was undertaken to explore whether monthly SPC feedback from infection control nurses (ICNs) to healthcare workers of ward-acquired meticillin-resistant Staphylococcus aureus (WA-MRSA) colonisation or infection rates would produce any reductions in incidence. Seventy-five wards in 24 hospitals in the UK were randomised into three arms: (1) wards receiving SPC chart feedback; (2) wards receiving SPC chart feedback in conjunction with structured diagnostic tools; and (3) control wards receiving neither type of feedback. Twenty-five months of pre-intervention WA-MRSA data were compared with 24 months of post-intervention data. Statistically significant and sustained decreases in WA-MRSA rates were identified in all three arms (P<0.001; P=0.015; P<0.001). The mean percentage reduction was 32.3% for wards receiving SPC feedback, 19.6% for wards receiving SPC and diagnostic feedback, and 23.1% for control wards, but with no significant difference between the control and intervention arms (P=0.23). There were significantly more post-intervention 'out-of-control' episodes (P=0.021) in the control arm (averages of 0.60, 0.28, and 0.28 for Control, SPC and SPC+Tools wards, respectively). Participants identified SPC charts as an effective communication tool and valuable for disseminating WA-MRSA data.

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Crossref · 10.1016/j.jhin.2008.06.013

Cites

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Research works printed but not linked: 1

  1. Scottish Executive Health Department (SEHD), 2001, vol. 57

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Metadata

Authors
Curran, E., Harper, P., Loveday, H., Gilmour, H., Jones, S., Benneyan, J., Hood, J., & Pratt, R.
Affiliations
  • Health Protection Scotland (GB)
  • University of West London (GB)
  • University of Glasgow (GB)
  • Northeastern University (US)
  • NHS Greater Glasgow and Clyde (GB)
Corresponding author
Harper, P.
ORCID
Venue
Journal of Hospital Infection
Publisher
Elsevier BV
Published
2008-10
Volume
70
Issue
2
Pages
127-135
ISSN
0195-6701 (ISSN-L)
DOI
10.1016/j.jhin.2008.06.013
OpenAlex
W2142617186
Cited by
37
References
25
Citations by year
2026: 1 · 2025: 3 · 2024: 4 · 2023: 1 · 2022: 2 · 2021: 3 · 2020: 5 · 2019: 2 · 2018: 2 · 2017: 1 · 2016: 1 · 2015: 2 · 2013: 2 · 2012: 5
FWCI
0.65
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Journal of Hospital Infection (publishedVersion)
  • PubMed (publishedVersion)
  • ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (submittedVersion)
  • UWL Repository (University of West London) (submittedVersion)
Funders
National Institute for Health and Care Research
Topics
  • Health Sciences › Medicine › Infectious Diseases › Infection Control in Healthcare
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Healthcare Quality and Management
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Advanced Statistical Process Monitoring
Keywords
control charts, MRSA colonization, MRSA infection, infection control, infection control nurses, quality improvement, hospital wards
MeSH terms
Cross Infection, Data Interpretation, Statistical, United Kingdom, Health Personnel, Hospital Units, Hospitals, Humans, Staphylococcal Infections, Staphylococcus aureus, Models, Statistical, Incidence, Methicillin Resistance, Infection Control

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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.