NationalElectronicInjurySurveillance                             Tom Schroeder 2/13System   *This presentation was prepare...
Product-Related Injuries          Consumer product       injuries = ~ 38 million                         Treated in Treate...
Overview/History   National sample of 96 hospitals from all U.S. hospitals    with at least 6 inpatient beds and 24-hour ...
Overview/History   Has been in use for over 30 years.   Last updated with new hospital sample in 1997.   Data available...
Why Emergency Department Data?   Large numbers of injuries are treated there.   Data are already being captured in ED re...
NEISS Surveillance Variables   Treatment date         Products involved   Case number             (2)   Age           ...
Statistical Basis   NEISS sample design:    http://www.cpsc.gov/en/Research--    Statistics/NEISS-Injury-Data/   Follow-...
Multi-level Data Collection            Capability Routine emergency department data Emergency department special study -...
Baby Walkers and Jumpers (Product Code =1508)40,00035,00030,00025,00020,000         Estimated Injuries15,00010,000 5,000  ...
JD62iWvwVe
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Bunk Beds: Product Code 0661
Analyzing NEISS On-Line                  Data   Just Curious    •   Use on-line query    •   Read some cases    •   Histo...
Analyzing NEISS On-Line                      Data   Quick Analysis    •   Will fulfill most people‟s needs    •   Use min...
Analyzing NEISS On-Line                      Data   Heavy Duty Statistical Analysis    •   Download the data!    •   Read...
Analyzing NEISS On-Line Caution               Data •   Always use ‘weight’ variable for national     estimates! •   Small...
Analyzing NEISS On-Line                      Data   What NEISS On-Line Does Well    •   Trend analysis across time       ...
Analyzing NEISS On-Line                      Data   What NEISS On-Line Doesn‟t Do Well    •   Deaths    •   Non-emergency...
CPSC Stands For Safety        Contact Information       tschroeder@cpsc.gov               Tom Schroeder       Statistician...
NEISS - National Electronic Injury Surveillance System
NEISS - National Electronic Injury Surveillance System
NEISS - National Electronic Injury Surveillance System
NEISS - National Electronic Injury Surveillance System
NEISS - National Electronic Injury Surveillance System
NEISS - National Electronic Injury Surveillance System
NEISS - National Electronic Injury Surveillance System
NEISS - National Electronic Injury Surveillance System
NEISS - National Electronic Injury Surveillance System
NEISS - National Electronic Injury Surveillance System
NEISS - National Electronic Injury Surveillance System
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NEISS - National Electronic Injury Surveillance System

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NEISS - National Electronic Injury Surveillance System

  1. 1. NationalElectronicInjurySurveillance Tom Schroeder 2/13System *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. 2. Product-Related Injuries Consumer product injuries = ~ 38 million Treated in Treated in ambulatorphysicians‟ y offices care clinics Consumer product injuries treated in hospital EDs = ~ 14 million
  3. 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. 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. 5. 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.
  6. 6. 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)
  7. 7. 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.
  8. 8. Multi-level Data Collection Capability Routine emergency department data Emergency department special study - “2nd screens” Telephone investigations On-site investigations
  9. 9. Baby Walkers and Jumpers (Product Code =1508)40,00035,00030,00025,00020,000 Estimated Injuries15,00010,000 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
  10. 10. JD62iWvwVe
  11. 11. JD62iWvwVe
  12. 12. JD62iWvwVe
  13. 13. Bunk Beds: Product Code 0661
  14. 14. Analyzing NEISS On-Line Data Just Curious • Use on-line query • Read some cases • Historical national estimate
  15. 15. 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)
  16. 16. 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
  17. 17. 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?
  18. 18. 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
  19. 19. 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
  20. 20. CPSC Stands For Safety Contact Information tschroeder@cpsc.gov Tom Schroeder Statistician, Division DirectorDivision of Hazard and Injury Data SystemsU.S. Consumer Product Safety Commission 4330 East West Hwy Bethesda, MD 20814

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