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Surveillance of nosocomial infections Johnny, Courtesy, Brocolli
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Nosocomial infections (NCI) "nosus" = disease "komeion" = to take care of Infections that occur during hospitalization but are not present nor incubating upon hospital admission
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Characteristics of hospitals Treatment is main focus Many stakeholders Shift work A lots of data, easily defined cohorts Different patient population Variation of length of stay Vulnerable patients Community vs. hospital
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The problem of NCI USA –Urinary tract infections: 2.4 per 100 admissions –Pneumonia: 1 case per 100 admissions –Surgical site infections: 2.8 per 100 operations –NCI; one death every 6 th minutes Norway –One of 19 patients have a NCI
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The problem of NCI Regional hospital, Zimbabwe: –1 of 6 developed SSI 2 referral hospitals, Ethiopia: –38.7% developed SSI –14 of 18 deaths attributed to SSI
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Cost of NCI England Average cost per NCI: 3.000 pounds Extra days: Urinary tract infections: 6 Pneumonia:12 Surgical site infections: 7
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Why surveillance? NCI cause of morbidity and mortality One third may be preventable Surveillance = key factor –an infection control measure –overview of the burden and distribution of NCI –allocate preventive resources Surveillance is cost-efficient!!
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The surveillance loop Event Action Data Information Health care system Surveillance centre Reporting Feedback, recommendations Analysis, interpretation
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Considerations when creating a surveillance system Goal of the surveillance system (why) Engage the stakeholders (who) Surveillance method (what, how, when) –definition –what to collect –how to collect (operation of system) Available resources
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I may not have gone where I intended to go, but I think I have ended up where I needed to be Douglas Adams
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Objectives Reducing infection rates Establishing endemic baseline rates Identifying outbreaks Identifying risk factors Persuading medical personnel Evaluate control measures Satisfying regulators Document quality of care Compare hospitals NCI rates
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Who All hospitals? All departments? All specialties? Other health institutions?
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Surveillance of surgical site infections Central adm. Local adm. ICP It- dep. Surgical wards Surgical ward. 2 PatientsLab Service dep. Ministry Of health Directorat Public Health instituteI ….. Stakeholders
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Surveillance of one or more types of NCI Urinary tract infections Lower respiratory tract infections Surgical site infections Bloodstream infections Conjunctivitis Others…
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Targeted surveillance Special patient population (surgical, medical, paediatric, intensive) Diagnostic and therapeutic procedures (endoscope, haemodialysis, catheterization, blood transfusion) Specific pathogens (staphylococcus aureus, MRSA, clostridium difficile, norovirus)
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Variables Administrative data –Id, address, dates of admission, discharge.. Patient related factors: –Age, sex, severity of underlying disease Procedures –Surgery –Devices (e.g. catheters) Treatment, diagnosis –Use of antibiotics ……
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Stratification points, surgical site infections
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When? During hospital stay? –Frequency of data collection After discharge? –When and how?
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How? Two main surveillance methods –incidence –prevalence Variations within these methods
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Incidence (cohort) studies marching towards outcomes
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Cohort design PAR = Population at Risk T = Time period PAR Study group Exposed Not exposed NCI Not NCI T NCI Not NCI T Retrospective Prospective
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Measure Percentage –#NCI / # patients Incidence density –Patient-days as denominator Risk factors RR= risk in patients exposed risk in patients not exposed
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Positive aspects Provide information on several risk factors Exposure measures before outcome Information on consequences of NCI Can identify outbreak Ongoing attention
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Limitations Resource demanding Loss of follow-up Seldom NCI Confounding and bias is possible
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Prevalence Measures number of current NCI Within a defined population at risk At a given time #NCI / #patients at risk *100 Point or period prevalence
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Use of prevalence surveys Show trends Estimate –distribution of NCI –surveillance accuracy –incidence from prevalence?? –antimicrobial usage patterns Rise awareness
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Limitations Do not identify causes Duration of NCI affects the prevalence Not very suitable for small institutions Difficult to adjust prevalence
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Prevalence survey UTI n=6 SSI n=2 Incidence surveillance
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Define method Identify and review –Protocols used elsewhere e.g. HELICS incidence, Norway's prevalence –Literature Minimum dataset
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Methodological issues Definitions NCI –Cut off 48 or 72 hours? –Criterias from Centers for Disease Control and Prevention (hospital) –McGeer (long-term care facilities) Risk variables Case finding –Active or passive –By whom? –After discharge? –Prospective or retrospective?
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Case finding Active: by surveillance personnel Passive: by medical personnel Laboratory or clinical based Source of data –Clinical examinations –Medical records, reports from laboratories –Forms or interviews
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Ongoing systematic collection? Cohort –Continual? –Periodical? Prevalence –Weekly? –Yearly? –Depends on objectives
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Precision of estimate
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Dummy table
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Implementing surveillance system Administrators responsibility Involvement of stakeholders Identify available resources –Personnel –Money –Time –Equipment –It- solutions Realistic project plan –Organization map –Making forms and letters –It-solutions –Training –Use of data
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Making surveillance work Support by the administrators Involve local experts Simple Minimize resources required by hospitals Training Feedback and use of data Flexibility
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Training topics Why surveillance? How? –Definition –Case finding –Case studies –It-solution Use of data
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Quality controls Define acceptable loss of follow-up Make sure all patients are included Identify infections –Use several sources –Compare data, conduct surveys –Training Clean data –Completeness –Logical values
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Use of data Prevent NCI Ward audits Present data to hospitals, administrators, MoH, patients Argument for resource allocation Audits for medical personnel Raise awareness
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Incidence of SSI over time
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Conclusion Hospital PathogenUnhappy patients Unhappy director Hospital SurveillanceHappy Patients Happy director
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