ArticleHealth services research2017
Fighting MRSA Infections in Hospital Care: How Organizational Factors Matter.
Article in Health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 18 citations in OpenAlex.
- Modifying effect of hospital size on the impact of antimicrobial stewardship programs for methicillin-resistant Staphylococcus aureus bloodstream infections: a nationwide claims database analysis.Journal of pharmaceutical health care and sciences · 2026Article
- Impact of hospital-related indicators on healthcare-associated infections and appropriateness of antimicrobial use according to a national dataset.Scientific reports · 2024Article
- Article
- Does a hospital culture influence adherence to infection prevention and control and rates of healthcare associated infection? A literature review.Journal of infection prevention · 2019Review
- Characterization of a New Staphylococcus aureus Kayvirus Harboring a Lysin Active against Biofilms.Viruses · 2018Article
- A Novel Chimeric Endolysin with Antibacterial Activity against Methicillin-ResistantFrontiers in cellular and infection microbiology · 2017Article
- Understanding institutional stakeholders' perspectives on multidrug-resistant bacterial organism at the end of life: a qualitative study.Clinical interventions in aging · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo identify factors associated with methicillin-resistant Staphylococcus aureus (MRSA) bloodstream infections at the level of the hospital organization. DATA SOURCES: Data from all 173 acute trusts in the English National Health Service (NHS). STUDY
designA longitudinal study based on trust-level panel data for the 5-year period from April 2004 to March 2009. Fixed effects negative binominal and system generalized method of moment models were used to examine the effect of (i) patient mix characteristics, (ii) resource endowments, and (iii) infection control practices on yearly MRSA counts. DATA COLLECTION: Archival and staff survey data from multiple sources, including Public Health England, the English Department of Health, and the Healthcare Commission, were merged to form a balanced panel dataset. PRINCIPAL
findingsMRSA infections decrease with increases in general cleaning (-3.52 MRSA incidents per 1 standard deviation increase; 95 percent confidence interval: -6.61 to -0.44), infection control training (-3.29; -5.22 to -1.36), hand hygiene (-2.72; -4.76 to -0.68), and error reporting climate (-2.06; -4.09 to -0.04).
conclusionsIntensified general cleaning, improved hand hygiene, additional infection control training, and a climate conducive to error reporting emerged as the factors most closely associated with trust-level reductions in MRSA infections over time.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.