neiss - national electronic injury surveillance system

31
. National Electronic Injury Surveillance System Tom 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.

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Page 1: NEISS - National Electronic Injury Surveillance System

.

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.

Page 2: NEISS - National Electronic Injury Surveillance System

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

Page 3: NEISS - National Electronic Injury Surveillance System

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.

Page 4: NEISS - National Electronic Injury Surveillance System

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.

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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.

Page 7: NEISS - National Electronic Injury Surveillance System

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)

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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.

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Multi-level Data Collection Capability

Routine emergency department data Emergency department special study - “2nd

screens” Telephone investigations On-site investigations

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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)

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Bunk Beds: Product Code 0661

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Analyzing NEISS On-Line Data

Just Curious• Use on-line query• Read some cases• Historical national estimate

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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)

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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

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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?

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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

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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

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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