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MEETING ABSTRACTS Open Access Antimicrobial Resistance and Infection Control Geneva, Switzerland. 25-28 June 2013 Edited by Didier Pittet, Stephan Harbarth and Andreas Voss Published: 20 June 2013 These abstracts are available online at http://www.aricjournal.com/supplements/2/S1 ORAL PRESENTATIONS O1 O001: Getting the unexpected: no association between hand hygiene and workload S Scheithauer 1,2* , M Dangel 1 , B Batzer 1 , C Pino Molina 3 , A Widmer 1 1 Infection Control, University Hospital Basel, Basel, Switzerland; 2 Infection Control & Infectious Diseases, University Hospital Aachen, RWTH Aachen, Aachen, Germany; 3 Hematology, University Hospital Basel, Basel, Switzerland Antimicrobial Resistance and Infection Control 2013, 2(Suppl 1):O1 Introduction: A high compliance with hand hygiene is a cornerstone of any infection control program. However, a high workload and a lack of time are most commonly used argues against an appropriate compliance. Objectives: In order to assess the relationship between the hand hygiene events (HHE) and the workload, we correlated HHEs per patient-day (PD) with the staff time/PD (h), the nursing effort/PD (h) and the C-value indexing the workload, respectively. Methods: All HHEs at a hematology ward (University Hospital Basel, Switzerland) were continuously recorded from 01.03.12 to 28.02.213 using the Ingo-man Weco (Ophardt Hygienetechnik, Issum; Germany) and could be analyzed dispenser-, day-, shift-, localization-specifically. Daily data on patients, staff time (h), nursing effort (h), C-value (1 (nursing effort / weighted staff time)*100) were calculated with regard to the workday from the electronic patient documentation sheets. For statistics SPSS was used. Results: During the one year investigation 208.184 HHE translating into 57 (±10) HHE/PD were performed. HHE from Monday to Friday exceeded HHE during the weekends with 59 (±10) versus 51 (±9) /PD. HHE/PD were significantly associated with the staff time with r=0.37 (p=0.01) and with the nursing effort with r=0.41 (p=0.01), respectively. These associations could be verified during workdays as well as during the weekends. In contrary, HHE/PD did not depend on workload in general indexed by the C-value with r=-0.04. However, during Monday and Friday HHE/PD seemed to correlate even inversely with the C-value (r=0.20; p=0.01). Conclusion: HHE/PD were associated with the staff time and the nursing effort indicating a constant compliance regardless the workload. This hypothesis was confirmed by the lack of a positive association between the C-value and the HHE/PD. Thus compliance seemed not to be affected by workload at the hematology ward enrolled in this investigation. Disclosure of interest: None declared. O2 O002: Patient and healthcare worker perception about patient participation in improving hand hygiene practices: impact of a patient participation intervention AJ Stewardson 1* , N Farquet 1 , A Gayet-Ageron 1 , S Touveneau 1 , Y Longtin 2 , A Iten 1 , D Pittet 1 , H Sax 3 1 The Univ. of Geneva Hosp. and Fac. of Medicine, Geneva, Switzerland; 2 Laval University, Quebec, Canada; 3 Univ. and University Hosp. of Zurich, Zurich, Switzerland Antimicrobial Resistance and Infection Control 2013, 2(Suppl 1):O2 Introduction: We implemented a cluster-randomized study at a 2200-bed academic medical centre to assess the impact of novel strategies to promote hand hygiene (HH). Wards in one of the three study arms were exposed to a patient participation (PP) program. Objectives: To investigate the impact of a formal PP program on healthcare worker (HCW) and patient perception of PP for improving HH compliance. Methods: We performed two cross-sectional studies with written, self- administered, anonymous questionnaires: one each for patients and HCWs. Adult patients were eligible if hospitalized for more than 24 hours in one or more of 66 study wards and discharged between May 16 and May 31, 2012 to their usual place of residence. Patients were defined as exposed(to PP) if they stayed 24 hours in one ward in the PP study arm during their admission. Completed surveys were returned via postal mail. HCWs working in all study wards were eligible. HCWs were defined as exposedif they currently worked in a PP ward. Surveys were brought to each study ward by a member of the study team and completed surveys were returned via internal mail. For each survey, non-respondents received reminders 2 and 4 weeks after initial distribution. Results: The response rate was similar among exposed and non-exposed patients: 167/316 (53%) and 378/686 (55%), respectively. Compared with non-exposed patients, exposed patients were no more likely to agree that patients should remind healthcare workers to perform hand hygiene(31% vs 26%, p=.25) or to report having reminded a nurse (5% vs 3%, p=.16) or a doctor (2% vs 5%, p=.29) during their last admission. The response rate was also similar among exposed and non-exposed HCWs: 230/531 (43%) and 436/999 (44%), respectively. The concept of patients reminding HCWs to perform HH was accepted by 67% of HCWs. HCW acceptance was independently associated with PP exposure (OR 1.51, CI95% 1.00-2.29, p=.048) and nursing profession (OR 1.69, CI95% 1.03-2.79, p=.039). Antimicrobial Resistance and Infection Control 2013, Volume 2 Suppl 1 http://www.aricjournal.com/supplements/2/S1 © 2013 various authors, licensee BioMed Central Ltd. All articles published in this supplement are distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MEETI NGABSTRACTS Open AccessAntimicrobial Resistance and Infection ControlGeneva, Switzerland. 25-28 June 2013Edited by Didier Pittet,Stephan Harbarth and Andreas VossPublished:20 June 2013These abstracts are available online at http://www.aricjournal.com/supplements/2/S1ORAL PRESENTATIONSO1O001: Getting the unexpected: no association between hand hygieneand workloadS Scheithauer1,2*,M Dangel1,B Batzer1,C Pino Molina3,A Widmer11Infection Control,University Hospital Basel,Basel,Switzerland;2InfectionControl & Infectious Diseases,University Hospital Aachen,RWTH Aachen,Aachen,Germany;3Hematology,University Hospital Basel,Basel,SwitzerlandAntimicrobialResistance and Infection Control2013,2(Suppl 1):O1Introduction: A high compliance with hand hygiene is a cornerstone ofany infection control program.However,a high workload and a lack oftime are most commonly used argues against an appropriate compliance.Objectives: In order to assess the relationship between the hand hygieneevents (HHE) andtheworkload, wecorrelatedHHEsperpatient-day(PD)withthestaff time/PD(h), thenursingeffort/PD(h) andtheC-valueindexing the workload,respectively.Methods: All HHEsat ahematologyward(UniversityHospital Basel,Switzerland) were continuously recorded from 01.03.12 to 28.02.213 usingthe Ingo-man Weco (Ophardt Hygienetechnik,Issum;Germany) and couldbeanalyzeddispenser-, day-,shift-, localization-specifically. Dailydataonpatients, stafftime(h), nursingeffort(h), C-value(1(nursingeffort/weightedstafftime)*100)werecalculatedwithregardtotheworkdayfrom theelectronic patient documentation sheets. For statisticsSPSS wasused.Results: Duringtheoneyearinvestigation208.184HHEtranslatinginto57 (10) HHE/PD were performed. HHE fromMonday to FridayexceededHHEduringtheweekendswith59(10)versus51(9)/PD.HHE/PDweresignificantlyassociatedwiththestaff timewithr=0.37(p=0.01)andwiththenursingeffortwithr=0.41(p=0.01), respectively.Theseassociationscouldbeverifiedduringworkdaysaswell asduringtheweekends. Incontrary, HHE/PDdidnot dependonworkloadingeneral indexedbytheC-valuewithr=-0.04. However, duringMondayandFridayHHE/PDseemedtocorrelateeveninverselywiththeC-value(r=0.20;p=0.01).Conclusion: HHE/PD wereassociated with the stafftime andthe nursingeffortindicatingaconstantcomplianceregardlesstheworkload. Thishypothesiswasconfirmedbythelackofapositiveassociationbetweenthe C-value and the HHE/PD.Thus compliance seemed not to be affectedby workload at the hematology ward enrolled in this investigation.Disclosure of interest:None declared.O2O002: Patient and healthcare worker perception about patientparticipation in improving hand hygiene practices: impact of a patientparticipation interventionAJ Stewardson1*,N Farquet1,A Gayet-Ageron1,S Touveneau1,Y Longtin2,A Iten1,D Pittet1,H Sax31The Univ.of Geneva Hosp.and Fac.of Medicine,Geneva,Switzerland;2Laval University,Quebec,Canada;3Univ.and University Hosp.of Zurich,Zurich,SwitzerlandAntimicrobialResistance and Infection Control2013,2(Suppl 1):O2Introduction: We implemented a cluster-randomized study at a 2200-bedacademicmedical centretoassesstheimpactofnovel strategiestopromote hand hygiene (HH). Wards in one of the three study arms wereexposed to a patient participation (PP) program.Objectives: Toinvestigatetheimpact of aformal PPprogramonhealthcareworker(HCW)andpatientperceptionofPPforimprovingHHcompliance.Methods: We performed two cross-sectional studies with written,self-administered, anonymous questionnaires: one each for patients and HCWs.Adult patients were eligible if hospitalized for more than 24 hours in oneor more of 66 study wards and discharged between May 16 and May 31,2012 to their usual place of residence. Patients were defined as exposed(to PP) if they stayed 24 hours in one ward in the PP study arm duringtheir admission. Completed surveys were returned via postal mail. HCWsworking in all study wards were eligible. HCWs were defined as exposedif they currently worked in a PP ward. Surveys were brought to each studywardbyamember of thestudyteamandcompletedsurveyswerereturnedviainternalmail. Foreachsurvey, non-respondentsreceivedreminders 2 and 4 weeks after initial distribution.Results: The response rate was similar among exposed and non-exposedpatients: 167/316 (53%) and 378/686 (55%), respectively. Compared withnon-exposed patients, exposed patients were no more likely to agree thatpatients should remind healthcare workers to perform hand hygiene (31%vs 26%, p=.25) or to report having reminded a nurse (5% vs 3%, p=.16) or adoctor (2% vs 5%, p=.29) during their last admission. The response rate wasalso similar among exposed and non-exposed HCWs: 230/531 (43%) and436/999 (44%), respectively. The concept of patients reminding HCWs toperformHHwas acceptedby 67%of HCWs. HCWacceptance wasindependentlyassociatedwithPPexposure(OR1.51, CI95%1.00-2.29,p=.048) and nursing profession (OR 1.69, CI95% 1.03-2.79, p=.039).Antimicrobial Resistance and Infection Control 2013, Volume 2 Suppl 1http://www.aricjournal.com/supplements/2/S1 2013 various authors, licensee BioMed Central Ltd.All articles published in this supplement are distributed under the terms of theCreative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, andreproduction in anymedium,providedthe original work is properly cited.Conclusion: Comparedwithcontrol wards, HCWs(but not patients)presentinintervention wards hada morefavourableperceptionofPPinHH promotion.Disclosure of interest:None declared.O3O003: The misuse of clinical gloves: risk of cross-infection and factorsinfluencing the decision of healthcare workers to wear glovesJ Wilson1*,S Lynam2,J Singleton3,H Loveday41Institute of Practice,Interdisciplinary Research & Enterprise,UK;2Psychology,Social Care & Human Sciences,University of West London,UK;3InfectionControl Directorate,Imperial College Healthcare NHS Trust,UK;4RichardWells Research Centre,University of West London,London,UKAntimicrobialResistance and Infection Control2013,2(Suppl 1):O3Introduction: Clinical glovesareroutinely usedinthedeliveryof patientcarebutunlessintegratedwiththe5momentsofhandhygiene havethe potential to increase the risk of HCAI transmission.Objectives: To examineglove usein anacutecaresetting,the extent towhichtheyareassociatedwithariskofcross contamination,andfactorsthat influence healthcare workers (HCW) decision to wear them.Methods: Observation of the use of clinical gloves was conducted in 6wards by two trained observers. Independent observations were comparedforinter-raterreliability. Gloveusewasconsideredappropriateiftheepisode involved potential contact with blood/body fluid (BBF).Risk ofcrosscontaminationwasdefinedasviolationofoneormoreofthemoments of hand hygiene during the glove-use episode. Semi-structuredinterviewswereconductedwithapurposivesampleof25HCWfromaudited wards to explore attitudes towards the use of gloves.Results: 164 glove use episodes were observed over 13 hours. Glove usewas appropriate in 58% (95/164) of episodes, but gloves were commonlyused for procedures with minimal risk of exposure to BBF. In 39% of glove-use episodes there was a risk of cross contamination, this was significantlymore likely to occur where gloves wereused inappropriately (58.4% vs28.4%; Chi2p6logreductionofbacterial inoculaisachievedwithin 2 minutes forS.aureus, E. coli, P. aeruginosa andwithin5 minutesfor M. bovis (TB).Theresidual film, evenafter10wetand10dryabrasions, reducesthepopulationofE. coli andKlebsiellapneumoniaeby>3-logwithin10minafterinoculation(comparedto2hoursforantimicrobial copper). Theabradedresidualfilmsalsoachieve>3-logreductionofP.aeruginosaandvegetative C. difficile inocula within 10 minutes. Surprisingly, the films alsoexhibitsomesporicidal propertieswiththecountsofsporesuspensionsofC.difficileandB.subtilisbeingreducedby40%and70%respectivelywithin 24 hours after inoculation.Evocide also complies with the relevant criteria for toxicity, biocompatibilityand no-film build-up.Conclusion: Thisnewgenreof surfacedisinfectantexhibitspowerfulresidual bactericidal properties combined with good materialscompatibility. Itallowsforthecreationofapotentantimicrobial barrieronanyenvironmental hardsurfaceatfractionofthecostofcopper. Italsooffersasimplesafeguardforcleaningdeficiencies, ensuringthathard-to-reach surfaces (eg beds,bedside tables) remain hygienic.Disclosure of interest:None declared.O20O020: A new method of bacteriophage-based disinfection inhealthcare settingsEB Brusina*,OM Drozdova,AG KutikhinDepartment of Epidemiology,Kemerovo State Medical Academy,Kemerovo,Russian FederationAntimicrobialResistance and Infection Control2013,2(Suppl 1):O20Introduction: Oneof themost significant features of healthcare-associatedinfections(HAIs)isthehighfrequencyofmultidrug-resistantbacterial strains(MDRBSs). Evenmodernchemical antimicrobials(CAMs)arenotefficientenough; atotallydifferentwayofpreventionofHAIscaused by MDRBSs is necessary.Objectives: Todevelopamonobacteriophage(MBP)-basedwayofprevention of HAIs caused by MDRBSs.Methods: MBPs against Pseudomonas aeruginosa (PA), methicillin-resistantStaphylococcus aureus (MRSA), Salmonella spp., Shigella spp., and Klebsiellaspp. weresprayedonvarioussurfacesindifferenthealthcaresettings(HCSs) in the case of spread of HAIs caused by these agents. We comparedefficiencyofMBPsondifferentsurfacesandindifferentconditions ofphagecirculation. Finally, weassessedtheinfluenceoftheMBPsonincidence and mortality of HAIs caused by MDRBSs. The efficiency of theMBPs was evaluated in the terms of absence of the target bacteria in theenvironment, that, inturn, wasassessedbyclassical bacteriologicalmethods.Results:Application of MBPs sprayed on surfaces in hospital environment issignificantly more efficient method of elimination of MDRBSs compared totheir usage by any other way. MBPs possessed greater efficiency on glass,metal, and plastic surfaces compared to textile and paper. Duration of MBPcirculation was determined by time frame, MBP strain, and lytic activity ofthe MBP, but not by dose of MBP on the surface. The greatest effect wasrevealedagainst PA; eventhe single usage of MBPprovidedtotalelimination of PA from the hospital environment. The application of MBPsled to 15-fold decrease of incidence of Salmonella-caused infections, 4-foldreduction of incidence of Shigella-caused infections, and 2-fold decrease ofincidence of Klebsiella- and MRSA-caused infections. Finally, CAMs did notinfluence the efficiency of MBPs, and no side effects were registered.Conclusion: The MBP-based way of prevention of HAIs caused by MDRBSshas certain advantages over CAMs. It may be used without limitations indifferent HCSs,particularly in intensive care units,it allows the efficientelimination of MDRBSs from the hospital environment in short terms,itprovidesterminationoftheoutbreakscausedbyMDRBSs, reducestheincidence and mortality from HAIs, and it is much cheaper compared toCAMs.Disclosure of interest:None declared.O21O021: Infection control enclosure (ICE) POD: meeting the needfor more single roomsJ SalkeldBioquell,Andover,UKAntimicrobialResistance and Infection Control2013,2(Suppl 1):O21Introduction: An increase in single occupancy rooms reduces transmission,improves hand hygiene compliance and increases patient satisfaction. Thus,there is a demand for more single rooms, particularly in hospitals with a lowproportion of single rooms as is common in Europe. Furthermore, where theprevious room occupant was infected or colonised with a pathogen, thesubsequent admission is significantly less likely to acquire that pathogen ifthe room is decontaminated using hydrogen peroxide vapour (HPV) ratherthan being cleaned and disinfected using standard methods.Objectives: Bioquell has developed the Infection Control Enclosure (ICE)-pod, a bespoke, semi-permanent structure with a door and an integral airhandlingsystemtoprovideanegativeair-flow, whichcanbeerectedaround existing bed spaces without closing wards.Methods: The ICE-pod combines many of the benefits of single roomswhilst retaining the primary advantages of bays/open wards. The pods canalso be sealed for HPV decontamination.Results: ICE-podscanbeusedtointerruptthespreadofnosocomialpathogens by providing additional capacity to segregate patients known tobe infected or colonised with pathogens, for pre-emptive segregation ofhigh-risk patients, to provide a single room environment for patients thatrequirehighvisibilitysuchasthoseatriskof falls, andtheabilitytodecontaminateindividual bedspacesusingHPV. TheICE-podwillalsoimprove the privacy and dignity of patients cared for in multi-occupancyareas, and has the potential to free up side rooms for patients requiringadditional privacy and dignity. There are tangible potential cost-benefitadvantages associated with accelerated discharge from intensive care unitsandother high-cost unitsandavoidingthehighcost of permanentconversion programs. The ICE-pod will provide an overall improvement inthe flexibility of patient flow throughout a hospital,which will increasethroughput and decrease the number of patients placed temporarily in sub-optimal specialties.Conclusion: ImplementationiscurrentlyunderwayintheUKandwillincludeassessment of patient andstaff acceptabilityof theICE-pod.Further trials to evaluate the clinical impact of the ICE-pod are planned.Disclosure of interest:J Salkeld: Employee of Bioquell.O22O022: Development of an electronic dashboard to assist surveillanceS Wallace*,N DamaniInfection Prevention and Control,Southern Trust,Craigavon,UKAntimicrobialResistance and Infection Control2013,2(Suppl 1):O22Introduction: Collection andtimely feedback of process and outcomesurveillance is one of the most challenging tasks faced by the InfectionPrevention and Control (IPC) team. The aim of our project was to develop asystem to ensure timely communication of surveillance information to bothclinical and non-clinical teams using an electronic dashboard.Methods: Our hospital developed in house e-reporting tools for use onour IT network. The system was created using Visual Basic programmingandutilisedexistingwordprocessinganddatabasesoftware. EachPCterminal in clinical areas was granted access to the e-reporting forms. Staffwere provided with brief 15 minute training sessions detailing how to usethe system.Results: Since the introduction of the e-dashboard system we have beenabletohostall ourinformationinonelocation, withregularupdates,allowing ease of access for all staff. Staff can nowcompare theirperformance against other departments and by staff grouping. This hasprovidedanudge effectandtheircompliancewithIPCpracticeshasgradually improved as they do not want to feature as an outlier. In additionto this, the benefit of the online availability of the information dramaticallyAntimicrobial Resistance and Infection Control 2013, Volume 2 Suppl 1http://www.aricjournal.com/supplements/2/S1Page 7 of 143reducedtheneedforsendinge-mails, thussavingtimeandreducingpressure on the Trusts IT network infrastructure.Conclusion: Since the introduction of the electronic dashboard, the hospitalwithin our Trust has seen a substantial improvement in communicating ofboth process and outcome surveillance information to both clinical andnon-clinical teams. As a result of this feedback we have seen a substantialimprovement in compliance with process surveillance for example, the handhygiene return rates have risen from pre-intervention 62% to 82% postintervention. As a result of improved compliance in other areas (environ-mental cleanliness, antibiotic prescribing, commode cleaning etc.) we haveseen over 70% reductions in C. difficile and MRSA bacteraemia infections.The system used can be replicated by any hospital with minimal resourceswhen compared to commercial systems that require costly support andcontracts to meet local needs. The system also allows the release of IPC timecrucial in low resource settings where resources are constrained.Disclosure of interest:None declared.O23O023: Combining electronic contacts data and virological data forstudying the transmission of infections at hospitalC Payet1,A Barrat2,3,C Cattuto3,C Rgis1,N Khanafer1,4,J-F Pinton5,B-A Kim6,B Comte6,B Lina4,7,P Vanhems1,4,N Voirin1,4*1Universit Lyon 1,CNRS UMR 5558,Lyon,France;2CNRS,CPT,UMR 7332,Marseille,France;3Data Science Lab,ISI Foundation,Turin,Italy;4HospicesCivils de Lyon,France;5CNRS UMR 5672,France;6Hpital Edouard Herriot,Service de griatrie,France;7Universit Lyon1,CNRS FRE 3011,Lyon,FranceAntimicrobialResistance and Infection Control2013,2(Suppl 1):O23Introduction: Transmissionof hospital acquiredinfections (HAI) dependsmainlyoncontactsbetweenpatients, betweenhealthcareworkers(HCWs) and between patients and HCWs.Objectives: Theobjectiveofthisstudywastocombinecontactsdataandvirological datafor studyinginfluenzatransmissionduringanoutbreak occurring in a hospital unit.Methods: Face-to-faceproximitybetweenpersonswascollectedduring10consecutivedaysusingelectronicRFIDbadges. Virological dataoninfluenza infection status were also collected.Each patient and each HCWhad2nasal swabs, oneatadmissionandoneatdischargeforpatients,and2 swabs at 7 days interval for HCWs, fromwhich laboratoryconfirmation of influenza infection was performed.Results: A total of 18,766 contacts wererecorded among 37 patients and47HCWs. Nurses, medical doctor( MD) andpatientswereinvolvedin82%,26% and 24 % of all the contacts respectively.In parallel,during the10 days, an outbreak occurred involving 15 laboratory-confirmedinfluenzacasesdiagnosedamong10patients(attackrate27%) and5HCWs(attackrate10%). Weidentified5(14%) patientsand10(20%)HCWswhocumulatednearly50%ofall thecontactsinvolvingpatientsandHCWs. Amongthesepersonswithahighnumber of contacts, 3(60%)patientsand1(10%)HCWhadconfirmedinfluenza. Amongthosewith a lower number of contacts,7 (22%) patients and 4 (11%) HCWs hadconfirmed influenza. Furtherstatistical analyses are ongoing to assesstherelationshipbetweenthenumberanddurationofcontactsandtheriskof influenza transmission.Conclusion: Collecting contacts data in the hospital setting andcombiningthisinformationwithvirological datacouldbeaninterestingapproachtostudythetransmissionofHAIs. WeidentifiedpatientsandHCWswithahighnumber of contacts, whocouldbeconsideredaspotential super-spreadersofinfections. Thisiskeyinformationthatmayhelp to implement prevention and control measures.Disclosure of interest:None declared.O24O024: New holistic approach to determine the infection risk profile of ahospital; visualised in a easy-to-read plotI Willemsen1*,J Kluytmans1,21Department for Medical Microbiology and Infection control,VUmc MedicalCenter,Amsterdam,The Netherlands;2Laboratoryof Microbiology andInfection control,Amphia hospital,Breda,The NetherlandsAntimicrobialResistance and Infection Control2013,2(Suppl 1):O24Introduction: Prevalencesurveysarecommontoolstodeterminetheprevalenceof- anddeterminantsforHealthcareAssociatedInfections(HAI).However this only incorporates patient-related variables.Objectives: We developed a new method,the infection risk scan, whichincludesoutcomevariables, patient-relatedvariablesaswell asward-relatedvariables.This shouldprovidea holisticviewontheinfection riskprofile of a ward or a hospital.Methods: Twooutcomevariableswereinvestigated, prevalenceofhealthcareassociatedinfections(HAI) andrectal carriageofExtendedSpectrum B-Lactamase (ESBL) producing bacteria.Two patient-related riskvariables, useofindwellingmedical devicesandantimicrobial therapy,andtwoward-relatedvariables, environmental contaminationandhandhygienenon-compliance(accordingtotheWHO guideline). Resultsofallinvestigated variables werecategorised as low risk,medium riskand highrisk,based on theliterature or expertopinion,andpresentedin a spider-plot.Theinfectionriskscanwasperformedin4differentgeneral nursingwards.Results: Largedifferenceswerefoundinoutcomevariablesandriskfactors, withadistributionacrossall 3riskcategories(low, mediumandhigh). This resultedindifferent risk-plots for the different wards.Handhygiene non-compliance and the environmental contamination wereacauseofconcerninall wards. PrevalenceofESBLcarriagewaslowinall wards,and the ESBL isolates were genotypically not related.Conclusion: In conclusion, the infection risk plot demonstrated substantialdifferentiation. The plot gives an overview that can easily be understood bythe healthcare workers and managers. The problem areas are shown at aglance. Based on the findings a tailor made, targeted quality improvementproject can be executed and the results can be measured in a repeatedmeasurement. This makes the infection risk scan a management tool thatcanbeusedtodeterminethescopeandfocusofaninfectioncontrolprogram.Disclosure of interest:None declared.O25O025: Organisational transformation the application of novel changetechniques & social media understanding to motivate infectionpreventionistsJ Storr1*,H Loveday2,L Wharton2,D Flaxman2,D Wright2,E Curran2,M Tannahil2,G Thirkell2,N Wiggleworth2,P Cattini2,J Wilson2,C Kilpatrick21Infection Prevention Society,West Lothian,UK;2IPS,IPS,London,UKAntimicrobialResistance and Infection Control2013,2(Suppl 1):O25Introduction: TheInfectionPreventionSociety(IPS) isacharitythatsupportsmemberstoensurenopersonisharmedbyapreventableinfection.In2009, IPSbeganastrategyplanningandevaluationexercisethathasactedasthecatalystfortransformation, achievedthroughtheuse of innovative change techniques and a social media campaign.Objectives: To establish a new strategy and social media campaign.Methods: Qualitativeandquantitativeapproacheswereused; a needsassessmentof members, acreativethinkingworkshopusing3noveltechniques drafted a vision, mission, strategic aims and objectives, feedbackexercisesfollowedatIPSannualconferences.This includeda StrategyDecision Tree and Strategy Wall to gather free text that was analysed. Inparallel, a baseline survey of members use of social media was issued and afollow up process for twitter analysis established.Results:In 2011, IPS issued strategic objectives: a) to lead, shape and informthe infection prevention agenda; b) to generate and promote the evidencebase for infection prevention, and c) to be the organisation of choice tosustain improvement.Themembersurveyfoundthatequal proportionsofmembers(39%)thought that use of Twitter wouldenhance andnot enhance IPS.Implementation and on-going evaluation exercises were designed from thisintelligence.In 2011,1%of members stated that Twitter would serve apurpose. In 2013, 37% of IPS members were signed up to Twitter. Within 1month the impact of the @IPS_infection Twitter account increased 2 and ahalffold, (reach-8,047to27,146andimpressions-17,502to44,529respectively).Conclusion: This approach engaged members in strategy development andallowed for articulation of achievable but stretching objectives. The use ofAntimicrobial Resistance and Infection Control 2013, Volume 2 Suppl 1http://www.aricjournal.com/supplements/2/S1Page 8 of 143social mediaandTwitter inparticular is beingusedtoreinvigoratenetworkingandinfluence, andisalreadyyieldingresults. Arangeofmeasures are being employed to support on-going strategy implemen-tation, to track progress and to role model to other societies.Disclosure of interest:None declared.O26O026: Countrywide prevalence study of healthcare-associatedinfections in brazilian hospitals: preliminary resultsCMCB Fortaleza1*,MC Padoveze2,C Kiffer3,AL Barth4,ICRS Carneiro5,JLN Rodrigues6,L Santos Filho7,MJG Mello8,MD Asensi9,PP Gontijo Filho10,MS Pereira11,M Rocha9,RS Kuchenbecker12,ES Medeiros13,ACC Pignatari13,IRAS - BRASIL11Tropical Diseases,Faculdade de Medicina de Botucatu - UNESP - UnivEstadual Paulista,Botucatu,Brazil;2Public Health,Escola de Enfermagem -USP - Universidade de So Paulo,Brazil;3Laboratrio Especial deMicrobiologia Clnca,Universidade Federal de So Paulo,So Paulo,Brazil;4Universidade Federal do Rio Grande do Sul,Porto Alegre,Brazil;5UFPA -Universidade Federal do Par,Belm,Brazil;6UFC - Universidade Federal doCear,Fortaleza,Brazil;7UFPB - Universidade Federal da Paraba,Joo Pessoa,Brazil;8IMIP - Pernambuco,Recife,Brazil;9FIOCRUZ - Rio de Janeiro,Rio deJaneiro,Brazil;10Microbiology,UFU - Universidade Federalde Uberlandia,Uberlandia,Brazil;11UFGO - Universidade Federal de Gois,Goinia,Brazil;12UFRGS - Universidade Federal do Rio Grande do Sul,Porto Alegre,Brazil;13UNIFESP - Escola Paulista de Medicina,So Paulo,BrazilAntimicrobialResistance and Infection Control2013,2(Suppl 1):O26Introduction: The knowledge of burden of Healthcare-Associated Infections(HAI)inhospitalsisessential todrivegovernmental strategiesforitsprevention and control.Objectives: To identifytheprevalenceofHAIina representativesampleof Brazilian hospitals.Methods: A team of trained nurses carried out a hospital-wide HAI pointprevalence survey in 2012. A sample of hospitals from five Brazilian regionswas evaluated (n=91; total of 8,853 beds).Results: The overall infectionrate was 11.1%, varyingfrom2.5%(hospitals with200 beds). Referencehospitalsshowed11.2%of overall infectionrate. Themostprevalentinfectionswerepneumonia(3.6%), bloodstreaminfection(3.5%), surgicalsiteinfection(1.4%), urinarytractinfection(1.1%) andskininfection(0.4%). Hospitalswith>200bedswerelikelytohavehigherHAI rates(RR=1.71; IC=1.398-2.10; P