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Injury Surveillance Thomas Songer, PhD University of Pittsburgh.

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Presentation on theme: "Injury Surveillance Thomas Songer, PhD University of Pittsburgh."— Presentation transcript:

1 Injury Surveillance Thomas Songer, PhD University of Pittsburgh

2 Why should we be concerned with monitoring injuries ?

3 Definitions Reducing the incidence of disease Reducing the prevalence of disease Ongoing programs aimed at reducing the incidence or prevalence of disease Prevention Control Last, Dictionary of Epidemiology

4 Public Health Approach to Injury Control and Prevention Define the Magnitude of the Problem Identify associated causes and risk factors Design and Implement the Intervention Evaluate the Intervention

5 Epidemiology is a Science of Rates death rates disability rates hospitalization rates incidence rates prevalence rates numerator denominator

6 Injury Deaths, Australia, 1992 Harrison, 1995

7 Injury Death Rates, Australia, 1992 Harrison, 1995

8 How do we identify injuries?

9 Approaches Towards Monitoring Injury in the Population Death Certificates Population Surveys Surveillance Registries Capture-Recapture

10 Government Surveys National Health Interview Survey National Hospital Ambulatory Care Survey National Hospital Discharge Survey Behavioural Risk Factor Survey and Surveillance Provide a better picture of the health status of the population

11 Surveillance: Systematic, regular ascertainment of incidence using methods distinguished by their practicality, uniformity, and frequently their rapidity, rather than by complete accuracy. Last, 1990

12 Types of Surveillance Active Passive

13 Active Surveillance the collection of data on a disease by regular outreach. Designated medical personnel are called at regular intervals to collect information on the new cases of disease. monitoring domestic violence in emergency departments

14 Passive Surveillance data generated without contact by the agency carrying out the surveillance. Reportable diseases fall under this type of surveillance. spinal cord injuries

15 Sentinel Events An event(s) that can be used to assess the stability or change in the health of a population. John Last Dictionary of Epidemiology

16 Registry: A file of data concerning all cases of a particular disease or other health-relevant condition in a defined population such that the cases can be related to a population base. Last, Dictionary of Epidemiology

17 Where do the data for the numerator and denominator come from in injury surveillance?

18 Injury Police Hospital Self-Treat Robertson, 1992 doctor EMS Rehab Center Trauma Center Morgue Emergency Dept.

19 The monitoring of incidence unfortunately is more complicated than the monitoring of mortality, because incidence data are hard to come by, registration of cases is even now seldom complete, and increases in the recorded rates may be due to an increase in the efficiency of registration. Sir Richard Doll, 1990

20 Numerator Issues Definition Ascertainment Severity ?

21 ICD-9 Codes N Codes - Nature of injury, anatomy E-Codes - External cause of injury

22 E-codes Are often missing on medical records Some states now require their use in ED and Hospital Admission records Important for identifying cause of injury and designing control programs Help to assign intent

23 Sources for Monitoring Injuries medical excuses 1 month student recall 4 month recall records attendance Woodland Hills School District

24 Percent ascertainment for each of the four monitoring sources 0 10 20 30 40 50 60 70 80 90 1 monthmedicalattendance4 month

25 Data Sources and Injury Severity Survey Doctor visit Hospital adm. Trauma ctr. Death cert. No injury Mild Moderate Severe Fatal Rogams, 1995

26 Denominator Issues Population Base Which Denominator? ?

27 What is the crash risk related to older drivers? How important is this risk?

28 Crash Involvement Rate Age per 1000 licensed drivers 162025303540455055606570758085+ 0 50 100 150 200 NHTSA, FHWA

29 Involvement Rate by Mileage Age per 100 million miles VMT 162025303540455055606570758085+ 0 500 1000 1500 2000 NHTSA, FHWA

30 Fatality Rate Age per 100 million miles 162025303540455055606570758085+ 0 2 4 6 8 10 12 NHTSA, FHWA

31 Few standards or guidelines Lack of population-based data Inflexibility of data systems Inability to integrate data systems Important data elements are not collected Few standards or guidelines Lack of population-based data Inflexibility of data systems Inability to integrate data systems Important data elements are not collected Limitations in Injury Surveillance

32 A Minimum Basic Dataset for Unintentional Injuries Age, Gender, Ethnic Group Place of occurrence Date of Injury Outcome of Injury Location of Injury Activity when accident happened


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