Evidence map›Paper›PMID 22556101›Full record

ArticleBMJ (Clinical research ed.)2012

Evaluation of the national Cleanyourhands campaign to reduce Staphylococcus aureus bacteraemia and Clostridium difficile infection in hospitals in England and Wales by improved hand hygiene: four year, prospective, ecological, interrupted time series study.

Sheldon Paul Stone, Christopher Fuller, Joan Savage, Barry Cookson, Andrew Hayward, Ben Cooper, Georgia Duckworth, Susan Michie, Miranda Murray, Annette Jeanes and 3 more

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in BMJ (Clinical research ed.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 7 pooled it
14.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

76 citing papers in PubMed, 7 syntheses or guidelines pooled it, 226 citations in OpenAlex.

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  18. Autopsy & case reports · 2023
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16 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 7 institutions in 3 countries.

Sheldon Paul StoneRoyal Free Campus, University College London Medical School, London NW3 2PF, UK. s.stone@medsch.ucl.ac.uk
Christopher Fuller
Joan Savage
Barry Cookson
Andrew Hayward
Ben Cooper
Georgia Duckworth
Susan Michie
Miranda Murray
Annette Jeanes
J Roberts
Louise Teare
Andre Charlett
Health Protection Agency · MVUniversity College London · GBThe Royal Free Hospital · GBLondon School of Hygiene & Tropical Medicine · GBMahidol Oxford Tropical Medicine Research Unit · THMid Essex Hospital Services NHS Trust · GBRoyal London Hospital · GB

Funding

Wellcome Trust 089275
6 · The paper itself

Abstract

objectiveTo evaluate the impact of the Cleanyourhands campaign on rates of hospital procurement of alcohol hand rub and soap, report trends in selected healthcare associated infections, and investigate the association between infections and procurement.

designProspective, ecological, interrupted time series study from 1 July 2004 to 30 June 2008.

setting187 acute trusts in England and Wales.

interventionInstallation of bedside alcohol hand rub, materials promoting hand hygiene and institutional engagement, regular hand hygiene audits, rolled out nationally from 1 December 2004.

main outcome measuresQuarterly (that is, every three months) rates for each trust of hospital procurement of alcohol hand rub and liquid soap; Staphylococcus aureus bacteraemia (meticillin resistant (MRSA) and meticillin sensitive (MSSA)) and Clostridium difficile infection for each trust. Associations between procurement and infection rates assessed by mixed effect Poisson regression model (which also accounted for effect of bed occupancy, hospital type, and timing of other national interventions targeting these infections).

resultsCombined procurement of soap and alcohol hand rub tripled from 21.8 to 59.8 mL per patient bed day; procurement rose in association with each phase of the campaign. Rates fell for MRSA bacteraemia (1.88 to 0.91 cases per 10,000 bed days) and C difficile infection (16.75 to 9.49 cases). MSSA bacteraemia rates did not fall. Increased procurement of soap was independently associated with reduced C difficile infection throughout the study (adjusted incidence rate ratio for 1 mL increase per patient bed day 0.993, 95% confidence interval 0.990 to 0.996; P < 0.0001). Increased procurement of alcohol hand rub was independently associated with reduced MRSA bacteraemia, but only in the last four quarters of the study (0.990, 0.985 to 0.995; P < 0.0001). Publication of the Health Act 2006 was strongly associated with reduced MRSA bacteraemia (0.86, 0.75 to 0.98; P = 0.02) and C difficile infection (0.75, 0.67 to 0.84; P < 0.0001). Trust visits by Department of Health improvement teams were also associated with reduced MRSA bacteraemia (0.91, 0.83 to 0.99; P=0.03) and C difficile infection (0.80, 0.71 to 0.90; P=0.01), for at least two quarters after each visit.

conclusionsThe Cleanyourhands campaign was associated with sustained increases in hospital procurement of alcohol rub and soap, which the results suggest has an important role in reducing rates of some healthcare associated infections. National interventions for infection control undertaken in the context of a high profile political drive can reduce selected healthcare associated infections.

Indexed as

AlcoholsAnti-Infective Agents, LocalBacteremiaClostridioides difficileCross InfectionEnglandEnterocolitis, PseudomembranousEquipment and Supplies, HospitalGuideline AdherenceHand DisinfectionHumansHygieneInfection ControlOutcome Assessment, Health CareProgram EvaluationProspective StudiesAlcoholsAnti-Infective Agents, LocalSoaps

Identifiers

PMID22556101
PMCPMC3343183
OpenAlexW2142900058

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.