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
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