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National
Electronic
Injury
Surveillance
                             Tom Schroeder 2/13
System
   *This presentation was prepared by CPSC staff. It has not been reviewed or
   approved by, and may not necessarily reflect the views of, the Commission.
                                                           .
Product-Related
 Injuries
          Consumer product
       injuries = ~ 38 million
                         Treated in
 Treated in              ambulator
physicians‟                    y
  offices                    care
                            clinics

            Consumer product
            injuries treated in
             hospital EDs = ~
                14 million
Overview/History
   National sample of 96 hospitals from all U.S. hospitals
    with at least 6 inpatient beds and 24-hour emergency
    service.
   Each hospital reports information on emergency
    treatments to CPSC.
   Hospital coder enters data in local PC and transmits
    the data to CPSC over the internet.
   System collects ~ 400,000 product-related injury
    reports each year.
     – (additional ~ 300,000 non-CPSC injury reports
       each year).
   Multi-level system.
   Supports CPSC and other federal agencies.
Overview/History
   Has been in use for over 30 years.

   Last updated with new hospital sample in 1997.

   Data available from 1980-current through FOIA
    request.
     – 2011 data was finalized March 31, 2012.

   Internet
     – On-line estimates from 1991-2011.
     – Data available for download from 2002-2011.
Why Emergency Department Data?
   Large numbers of injuries are treated there.

   Data are already being captured in ED record
    on these cases.

   Hospitals have been very cooperative in
    supporting CPSC data collection activities.

   The information is timely.
NEISS Surveillance Variables

   Treatment date         Products involved
   Case number             (2)
   Age                    Locale
   Sex                    Type/work-related
   Injury diagnosis       Fire dept.
   Body part injured       involvement
   Disposition from       Intent
    ED                     Race / ethnicity
                           Narrative (2 lines)
Statistical Basis
   NEISS sample design:
    http://www.cpsc.gov/en/Research--
    Statistics/NEISS-Injury-Data/


   Follow-back investigations can be conducted
    within the statistical framework.
Multi-level Data Collection
            Capability

 Routine emergency department data
 Emergency department special study - “2nd
  screens”
 Telephone investigations
 On-site investigations
Baby Walkers and Jumpers (Product Code =1508)
40,000


35,000


30,000


25,000


20,000
         Estimated Injuries




15,000


10,000


 5,000

                                                                                Year
    0
                91            92   93   94   95   96   97   98   99   00   01     02   03   04   05   06   07   08   09   10   11
JD62iWvwVe
JD62iWvwVe
JD62iWvwVe
Bunk Beds: Product Code 0661
Analyzing NEISS On-Line
                  Data
   Just Curious
    •   Use on-line query
    •   Read some cases
    •   Historical national estimate
Analyzing NEISS On-Line
                      Data
   Quick Analysis
    •   Will fulfill most people‟s needs
    •   Use minimal query to subset the data
    •   Download the data!
    •   Read the narratives!
    •   Manipulate the data in a spreadsheet
        •    form subgroups
        •    pivot tables
        •    always use the „weight‟ variable (sum = national
             estimate)
Analyzing NEISS On-Line
                      Data
   Heavy Duty Statistical Analysis
    •   Download the data!
    •   Read the narratives!
    •   SAS – variable formats and general programs on
        web-site
        •   Use PSU, Stratum, Weight!
        •   Proc Surveymeans
    •   National estimates with confidence intervals
    •   Test for statistically significant differences
    •   Trend analysis across multiple years
Analyzing NEISS On-Line
 Caution
               Data
 •   Always use ‘weight’ variable for national
     estimates!
 •   Small sample sizes and estimates!
 •   Consider multiple product codes
     •   Other/Not Specfied
 •   Unknown (locale)
 •   Denominator Data
     •   Census population? age adjust?
     •   units sold? market share?
     •   participation rates?
Analyzing NEISS On-Line
                      Data
   What NEISS On-Line Does Well
    •   Trend analysis across time
        •    must take into consideration sample change in 1997
    •   Demographics of injured people (age, gender,
        body part, diagnosis)
    •   Product groupings
Analyzing NEISS On-Line
                      Data
   What NEISS On-Line Doesn‟t Do Well
    •   Deaths
    •   Non-emergency department treatment
        •    pediatrician, school nurse, athletic trainer, etc.
    •   Specific manufacturer
        •    all PII removed from NEISS narratives
    •   Detailed product information (use telephone
        interviews)
        •    size and type of television
        •    engine size of ATV
        •    age of baby walker, crib
CPSC Stands For Safety

        Contact Information
       tschroeder@cpsc.gov

               Tom Schroeder
       Statistician, Division Director
Division of Hazard and Injury Data Systems
U.S. Consumer Product Safety Commission
            4330 East West Hwy
            Bethesda, MD 20814

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NEISS - National Electronic Injury Surveillance System

  • 1. National Electronic Injury Surveillance Tom Schroeder 2/13 System *This presentation was prepared by CPSC staff. It has not been reviewed or approved by, and may not necessarily reflect the views of, the Commission. .
  • 2. Product-Related Injuries Consumer product injuries = ~ 38 million Treated in Treated in ambulator physicians‟ y offices care clinics Consumer product injuries treated in hospital EDs = ~ 14 million
  • 3. Overview/History  National sample of 96 hospitals from all U.S. hospitals with at least 6 inpatient beds and 24-hour emergency service.  Each hospital reports information on emergency treatments to CPSC.  Hospital coder enters data in local PC and transmits the data to CPSC over the internet.  System collects ~ 400,000 product-related injury reports each year. – (additional ~ 300,000 non-CPSC injury reports each year).  Multi-level system.  Supports CPSC and other federal agencies.
  • 4. Overview/History  Has been in use for over 30 years.  Last updated with new hospital sample in 1997.  Data available from 1980-current through FOIA request. – 2011 data was finalized March 31, 2012.  Internet – On-line estimates from 1991-2011. – Data available for download from 2002-2011.
  • 5.
  • 6. Why Emergency Department Data?  Large numbers of injuries are treated there.  Data are already being captured in ED record on these cases.  Hospitals have been very cooperative in supporting CPSC data collection activities.  The information is timely.
  • 7. NEISS Surveillance Variables  Treatment date  Products involved  Case number (2)  Age  Locale  Sex  Type/work-related  Injury diagnosis  Fire dept.  Body part injured involvement  Disposition from  Intent ED  Race / ethnicity  Narrative (2 lines)
  • 8.
  • 9. Statistical Basis  NEISS sample design: http://www.cpsc.gov/en/Research-- Statistics/NEISS-Injury-Data/  Follow-back investigations can be conducted within the statistical framework.
  • 10. Multi-level Data Collection Capability  Routine emergency department data  Emergency department special study - “2nd screens”  Telephone investigations  On-site investigations
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17. Baby Walkers and Jumpers (Product Code =1508) 40,000 35,000 30,000 25,000 20,000 Estimated Injuries 15,000 10,000 5,000 Year 0 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11
  • 21. Bunk Beds: Product Code 0661
  • 22.
  • 23.
  • 24.
  • 25. Analyzing NEISS On-Line Data  Just Curious • Use on-line query • Read some cases • Historical national estimate
  • 26. Analyzing NEISS On-Line Data  Quick Analysis • Will fulfill most people‟s needs • Use minimal query to subset the data • Download the data! • Read the narratives! • Manipulate the data in a spreadsheet • form subgroups • pivot tables • always use the „weight‟ variable (sum = national estimate)
  • 27. Analyzing NEISS On-Line Data  Heavy Duty Statistical Analysis • Download the data! • Read the narratives! • SAS – variable formats and general programs on web-site • Use PSU, Stratum, Weight! • Proc Surveymeans • National estimates with confidence intervals • Test for statistically significant differences • Trend analysis across multiple years
  • 28. Analyzing NEISS On-Line  Caution Data • Always use ‘weight’ variable for national estimates! • Small sample sizes and estimates! • Consider multiple product codes • Other/Not Specfied • Unknown (locale) • Denominator Data • Census population? age adjust? • units sold? market share? • participation rates?
  • 29. Analyzing NEISS On-Line Data  What NEISS On-Line Does Well • Trend analysis across time • must take into consideration sample change in 1997 • Demographics of injured people (age, gender, body part, diagnosis) • Product groupings
  • 30. Analyzing NEISS On-Line Data  What NEISS On-Line Doesn‟t Do Well • Deaths • Non-emergency department treatment • pediatrician, school nurse, athletic trainer, etc. • Specific manufacturer • all PII removed from NEISS narratives • Detailed product information (use telephone interviews) • size and type of television • engine size of ATV • age of baby walker, crib
  • 31. CPSC Stands For Safety Contact Information tschroeder@cpsc.gov Tom Schroeder Statistician, Division Director Division of Hazard and Injury Data Systems U.S. Consumer Product Safety Commission 4330 East West Hwy Bethesda, MD 20814