DOI: 10.3886/icpsr34640.v1
title: National Electronic Injury Surveillance System All Injury Program, 2010
title: Version 1

description: Beginning in July 2000, the National Center for Injury Prevention and Control (NCIPC), and Centers for Disease Control and Prevention (CDC), in collaboration with the United States Consumer Product Safety Commission (CPSC), expanded the National Electronic Injury Surveillance System (NEISS) to collect data on all types and causes of injuries treated in a representative sample of United States hospitals with emergency departments (ED). This system is called the NEISS-All Injury Program (NEISS-AIP). The NEISS-AIP is designed to provide national incidence estimates of all types and external causes of nonfatal injuries and poisonings treated in United States hospital EDs. Data on injury-related visits are being obtained from a national sample of 66 out of 100 NEISS hospitals that were selected as a stratified probability sample of hospitals in the United States and its territories with a minimum of 6 beds and a 24-hour ED. The sample includes separate strata for very large, large, medium, and small hospitals, defined by the number of annual ED visits per hospital, and children's hospitals. The scope of reporting goes beyond routine reporting of injuries associated with consumer-related products in CPSC's jurisdiction to include all injuries and poisonings. The data can be used to (1) measure the magnitude and distribution of nonfatal injuries in the United States, (2) monitor unintentional and violence-related nonfatal injuries over time, (3) identify emerging injury problems, (4) identify specific cases for follow-up investigations of particular injury-related problems, and (5) set national priorities. A fundamental principle of this expansion effort is that preliminary surveillance data will be made available in a timely manner to a number of different federal agencies with unique and overlapping public health responsibilities and concerns. Also, annually, the final edited data are released as public use data files for use by other public health professionals and researchers. These public use data files provide NEISS-AIP data on nonfatal injuries collected from July through December each year. Variables in the datasets include body part affected by injury, diagnosis, case disposition, fire involvement, immediate cause of injury, injury as determined by the CDC, intent of injury, intent with sexual/other assault, locales where injured, precipitating cause of injury, perpetrator to victim relationship in assault, reason for assault, whether injury was sports-related or traffic-related, whether it was a violent injury, and date of injury. Demographic information specifies race, sex, and age of patient.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels.; Checked for undocumented or out-of-range codes..
description: Datasets: 
 
 DS1: Dataset
description: National Electronic Injury Surveillance System (NEISS) Series
description: computer-assisted self interview (CASI), self-enumerated questionnaire
description: United States hospitals providing emergency services.
description: Data were collected from a national sample of 66 out of 100 NEISS hospitals that were selected as a stratified probability sample of United States hospitals with at least 6 beds that provided 24-hour emergency service excluding psychiatric and penal institutions. The sample included five strata of which four represented different levels of hospital size, measured by the number of emergency department visits. The fifth contained the children's hospitals. There were 31 hospitals in the small stratum, 9 hospitals in the medium stratum, 6 hospitals in the large stratum, 15 hospitals in the very large stratum, and 5 hospitals in the children's stratum.