National Electronic Injury Surveillance SystemAll Injury Program NEISSAIP
- Slides: 28
National Electronic Injury Surveillance System-All Injury Program (NEISS-AIP) J. Lee Annest, Ph. D. Office of Statistics and Programming National Center for Injury Prevention and Control Centers for Disease Control and Prevention June 1 -2, 2005
Outline • Purpose of NEISS-AIP • Sample Design • Data Elements • Quality Assurance Methods • Data Reporting
National Electronic Injury Surveillance System (NEISS) • Operated by the U. S. Consumer Product Safety Commission (CPSC), Started October, 1978 • Monitor consumer product-related injuries • Nationally representative sample of 99 U. S. hospitals with > 6 beds and an ED • First time, injury-related visits
Components of NEISS • Ongoing ED surveillance • Special studies • Follow-up investigations
Ongoing ED Surveillance • Sampling frame updated every 10 years (last update 1997) • Captures 330, 000 consumer productrelated injuries annually • Timely access to data • Core data elements (age, sex, race/ethnicity of patient, two-product codes, primary body part affected, principal diagnosis, locale of injury incident, ED discharge disposition, narrative)
99 NEISS Hospitals Claremont, NH Pittsfield, MA Brooklyn, NY Patchogue, NY Staten Island, NY Bridgeton, NJ Lanham, MD Rockville, MD Very Large Hospitals Medium Hospitals Small Hospitals Children’s Hospitals Data Source: U. S. CPSC Santurce, PR
NEISS Sample Design Stratum Total ERVs Hospitals NEISS sample 1 1 -16, 830 3, 179 46 2 16, 831 -28, 150 1, 059 13 3 28, 151 -41, 130 674 9 4 41, 131+ 426 23 Children’s Various 50 8 --------------------------------------Total 5, 388 99
NEISS All Injury Program • Started July, 2000 • Nationally representative subsample of 66 NEISS hospitals with > 6 beds and an ED • First time, injury-related visits
NEISS All Injury Program • Approx. 500, 000 cases per year (@ $4. 00 USD per case) • Extensive training and quality assurance program with both automated and visual edits • Data on mechanism and intent of injury • Data available to public annually in the late summer of following year
NEISS All Injury Program Cause-of-Injury Data Elements • Mechanism (precipitating & immediate) - 22 categories (ICECI short version) - For transport (traffic-relatedness) - For MV-occupant (occupant status) • Intent of injury - Assault, suspected and confirmed (victimoffender relationship, context of assault) - Self-harm, suspected and confirmed - Unintentional/undetermined
Public Access of NEISS_AIP Data? • Web-based Injury Statistics Query and Reporting System (WISQARS) • NEISS AIP analysis files available through the Inter-University Consortium for Political and Social Research (ICPSR) at the University of Michigan • CDC fact sheets on the internet, MMWR, peerreviewed articles, state profiles
United States Fatal and Nonfatal Injuries http: //www. cdc. gov/ncipc/wisqars
Questions? Discussion time…
- 071-com-0804
- Examples of intentional injury
- National institute for food and drug surveillance
- An electronic is the electronic exchange of money or scrip
- Electronic field production examples
- Sharps injury prevention program
- National research university of electronic technology
- Registrul electronic national al nomenclaturilor stradale
- Who rsv surveillance
- Texas brfss
- Surveillance postopératoire
- Types of surveillance
- Surveillance fixateur externe
- Continuing analysis and surveillance system
- Reconnaissance and surveillance leaders course
- Nav canada cfps
- Types of surveillance
- Pss pro surveillance system
- Drain de kehr pansement
- Sentinel surveillance definition
- Surveillance definition
- Casser le vide d'un redon
- Reservoir surveillance definition
- Ephi ethiopia
- Sentinel surveillance definition
- Raven surveillance drone
- Developmental screening vs surveillance
- Territorial reinforcement
- What does rid stand for in lifeguarding