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Surveillance of nosocomial infections

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Infections that occur during hospitalization but are not present nor incubating ... (endoscope, haemodialysis, catheterization, blood transfusion) Specific pathogens ... – PowerPoint PPT presentation

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Title: Surveillance of nosocomial infections


1
Surveillance of nosocomial infections
  • Hanne Eriksen

2
Nosocomial infections (NCI)
  • "nosus" disease
  • "komeion" to take care of
  • Infections that occur during hospitalization but
    are not present nor incubating upon hospital
    admission

3
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

4
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5
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 6th minutes
  • Norway
  • One of 19 patients have a NCI

6
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

7
Cost of NCI
  • England
  • Average cost per NCI 3.000 pounds
  • Extra days
  • Urinary tract infections 6
  • Pneumonia 12
  • Surgical site infections 7

8
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!!

9
The surveillance loop
Health care system
Surveillance centre
Event Action
Data Information
Reporting
Analysis, interpretation
Feedback, recommendations
10
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

11
  • I may not have gone where I intended to go, but
    I think I have ended up
  • where I needed to be
  • Douglas Adams

12
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

13
Who
  • All hospitals?
  • All departments?
  • All specialties?
  • Other health institutions?

14
Stakeholders
15
Surveillance of one or more types of NCI
  • Urinary tract infections
  • Lower respiratory tract infections
  • Surgical site infections
  • Bloodstream infections
  • Conjunctivitis
  • Others

16
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)

17
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

18
Stratification points, surgical site infections
19
When?
  • During hospital stay?
  • Frequency of data collection
  • After discharge?
  • When and how?

20
How?
  • Two main surveillance methods
  • incidence
  • prevalence
  • Variations within these methods

21
 Incidence (cohort) studies marching towards
outcomes
22
Cohort design
Prospective
NCI
Exposed
T
Study group
PAR
Not exposed
T
PAR Population at Risk T Time period
Retrospective
23
Measure
  • Percentage
  • NCI / patients
  • Incidence density
  • Patient-days as denominator
  • Risk factors
  • RR risk in patients exposed
  • risk in patients not exposed

24
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25
Positive aspects
  • Provide information on several risk factors
  • Exposure measures before outcome
  • Information on consequences of NCI
  • Can identify outbreak
  • Ongoing attention

26
Limitations
  • Resource demanding
  • Loss of follow-up
  • Seldom NCI
  • Confounding and bias is possible

27
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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29
Use of prevalence surveys
  • Show trends
  • Estimate
  • distribution of NCI
  • surveillance accuracy
  • incidence from prevalence??
  • antimicrobial usage patterns
  • Rise awareness

30
Limitations
  • Do not identify causes
  • Duration of NCI affects the prevalence
  • Not very suitable for small institutions
  • Difficult to adjust prevalence

31
Prevalence survey
UTI n6 SSI n2
Incidence surveillance
32
Define method
  • Identify and review
  • Protocols used elsewhere e.g.
  • HELICS incidence, Norway's prevalence
  • Literature
  • Minimum dataset

33
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34
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?

35
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

36
Ongoing systematic collection?
  • Cohort
  • Continual?
  • Periodical?
  • Prevalence
  • Weekly?
  • Yearly?
  • Depends on objectives

37
Precision of estimate
38
Dummy table
39
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

40
Making surveillance work
  • Support by the administrators
  • Involve local experts
  • Simple
  • Minimize resources required by hospitals
  • Training
  • Feedback and use of data
  • Flexibility

41
Training topics
  • Why surveillance?
  • How?
  • Definition
  • Case finding
  • Case studies
  • It-solution
  • Use of data

42
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43
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

44
Use of data
  • Prevent NCI
  • Ward audits
  • Present data to hospitals, administrators, MoH,
    patients
  • Argument for resource allocation
  • Audits for medical personnel
  • Raise awareness

45
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46
Incidence of SSI over time
47
Conclusion
Pathogen
Unhappy patients
Unhappy director
Hospital
Surveillance
Happy Patients
Happy director
Hospital
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