.
National
Electronic
InjurySurveillance
SystemTom Schroeder 2/13
*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.
Consumer product injuries = ~ 38 million
Product-Related Injuries
Consumer product injuries treated in hospital EDs = ~
14 million
Treated inphysicians’
offices
Treated in ambulator
ycare
clinics
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 Case number Age Sex Injury diagnosis Body part injured Disposition from
ED
Products involved (2)
Locale Type/work-related Fire dept.
involvement Intent 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
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11
Est
imat
ed In
juri
es
Year
Baby Walkers and Jumpers (Product Code =1508)
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 Data Caution
• 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?• hours of use?
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 [email protected]
Tom SchroederStatistician, Division Director
Division of Hazard and Injury Data SystemsU.S. Consumer Product Safety Commission
4330 East West HwyBethesda, MD 20814
Top Related