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OSH-2.3 Data Details

OSH-2.3 Reduce work-related injuries among adolescent workers aged 15 to 19 years

About the Data

Description of the data source, numerator, denominator, survey questions, and other relevant details about the national estimate.

National Data Source
National Electronic Injury Surveillance System-Work Supplement (NEISS-WORK); Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health and Consumer Product Safety Commission (CDC/NIOSH and CPSC)
Current Population Survey (CPS); U.S. Census Bureau and Department of Labor, Bureau of Labor Statistics (Census and DOL/BLS)
Changed Since the Healthy People 2020 Launch
No
Measure
per 100 
Baseline (Year)
5.5 (2007)
Target
4.9
Target-Setting Method
10 percent improvement
Numerator
Number of emergency department treated injuries and illnesses among workers aged 15 to 19 years
Denominator
Average annual hours at work for workers aged 15 to 19 years
Questions Used to Obtain the National Baseline Data

[DENOMINATOR:]

From the 2007 Current Population Survey - Labor Force Questionnaire:

WORK

(THE WEEK BEFORE LAST/LAST WEEK), did (name/you) do ANY work for (pay/either pay or profit)?

  1. Yes
  2. No
  3. Retired
  4. Disabled
  5. Unable to work

BUS1

((THE WEEK BEFORE LAST/LAST WEEK), did (name/you) do any unpaid work in the family business or farm??

  1. Yes
  2. No

HRUSL1

(How many hours per week (do/does) (name/you) USUALLY work at (your/his/her) (job?/ main job?)

  1. Enter number of hours (00-99) Hours each week
  2. (V) Hours vary each week

HRUSL2

How many hours per week (do/does) (you/he/she) USUALLY work at (your/his/her) other (job/ jobs)?

  1. Enter number of hours (00-99) Hours each week
  2. (V) Hours vary each week

HROT1

(THE WEEK BEFORE LAST/LAST WEEK), did (name/you) work any overtime or extra hours (at(his/her) MAIN job that / that)(you/he/she) (do/does) not usually work?

  1. Yes
  2. 2 No

HROT2

How many ADDITIONAL hours did (you/he/she) work?

Enter number of hours

HRACT1

(LAST WEEK/THE WEEK BEFORE LAST), how many hours did ( you/he/she) ACTUALLY work at (your/his/her) (job?/MAIN job?)?

Enter number of hours (00 - 99)

HRACT2

(THE WEEK BEFORE LAST/LAST WEEK), how many hours did ( you/he/she) ACTUALLY work at (your/his/her) other (job/ jobs?)?

Enter number of hours (00 - 99)

Data Collection Frequency
Annual
Comparable Healthy People 2010 Objective
Adapted from HP2010 objective
Methodology Notes

Data source

Work-RISQS is an online data access system for NIOSH surveillance data on nonfatal work-related injuries and illnesses treated in U.S. hospital emergency departments (EDs). NIOSH collaborates with U.S. Consumer Product Safety Commission (CPSC) to collect these data through a supplement to the CPSC National Electronic Injury Surveillance System (NEISS). The occupational supplement is referred to as NEISS-Work. The occupational injury and illness supplemental data are collected without regard to consumer product involvement, whereas the CPSC NEISS data exclude work-related injuries and illnesses.

Sample design

NEISS-Work is a national stratified probability sample of hospitals in the U.S. and its territories that have a minimum of six beds and that operate a 24-hour emergency department. Hospitals in the sample were selected from the approximately 5,300 rural and urban U.S. hospitals after stratification by total annual emergency department visits. Nominally, 67 geographically distributed sample hospitals capture work-related injuries and illnesses every day of the year (note: the occupational injury hospital sample is a subset (2/3) of the hospital sample used by CPSC for capture of product-related injuries). All treated cases that are identifiable as work-related are captured and information is abstracted from the medical record.

Each case is assigned a statistical weight based on the inverse probability of selection. National estimates are obtained by summing weights for all cases or particular cases of interest. Statistical weights are adjusted within a sample year to account for hospital mergers, hospital closings or withdrawal from NEISS-Work (i.e., less than 67 hospitals reporting information), and incomplete reporting. Statistical weights are adjusted annually based on the number of U.S. hospitals and their total number of ED visits as determined by a census of U.S. hospitals one year prior to the data year.

Case definition

Medical:Nonfatal injuries and illnesses treated in an emergency department

Population:Civilian non-institutionalized workers

Work:

  1. Doing work for pay or other compensation, including arriving or leaving work but on the employer's premises, during transportation between locations as a part of the job (excluding commuting to or from home)
  2. Doing agricultural production activities
  3. Working as a volunteer for an organized group (e.g., volunteer fire department)

Demographics: All workers without restriction by age, type of employer or industry (e.g., self-employed, private industry, or government), or employer size

Case exclusions

  1. Injuries or illnesses to active duty Military, National Guard, and State Militia
  2. Injuries or illnesses to institutionalized persons including prisoners or mental health patients
  3. Common illnesses (e.g., colds and flu)
  4. Routine drug and alcohol screening
  5. Revisits to the same ED for a previously treated injury or illness

Case identification

Work-related cases are identified from admissions information and emergency department chart review by hospital coders. A workers' compensation claim is not required for inclusion.

Workers 15 to 19 years have high rates of nonfatal work injuries. Work in job types with many injury hazards and lack of job knowledge, training and skills may contribute to this increased risk.

Changes Between HP2010 and HP2020
This objective differs from Healthy People 2010 objective 20-2h which tracked a narrower age range of workers (15 to 17 years of age).

References

Additional resources about the objective.

  1. Estes CR, Jackson LL, Castillo DN. Occupational Injuries and Deaths among Younger Workers. MMWR 59(15). April 23, 2007
  2. For more information see: http://www2.cdc.gov/risqs/wrtechinfo.htm