Online Program

283850
Analysis of work-related injuries for 2009-2011 using the “work-related” field in the New Hampshire trauma emergency medical services information system (TEMSIS)


Monday, November 4, 2013 : 1:00 p.m. - 1:15 p.m.

Karla R. Armenti, ScD, New Hampshire Department of Health and Human Services, Occupational Health Surveillance Program, Concord, NH
Tyler Brandow, MPH, Department of Health Management and Policy, University of New Hampshire, Durham, NH
Background: The New Hampshire Trauma Emergency Medical Services Information System, or TEMSIS, covers 85% of the state for all EMS/Ambulance runs, totaling over 150,000 annual runs. The New Hampshire Occupational Health Surveillance Program has been exploring non-traditional avenues to gather work-related injury data, including emergency medical services data. New Hampshire is uniquely suited for this project because, currently, electronic reporting to TEMSIS is mandatory for all EMS providers and because work-relatedness is determined for each incident responded to.

Methods: NH TEMSIS data were analyzed to better understand its potential in estimating work related injuries that occurred between 2009 and 2011. This was a descriptive analysis of the data, focusing on incident information, medical information (primary impression, secondary impression, chief complaint, primary symptom), injury information (mechanism of injury), and demographic information (patient age, gender and the incident location type). Data files were prepared by TEMSIS staff from the raw EMS data and entered into an Excel spreadsheet. We then created queries to assess the frequencies of specific outcomes, such as traumatic injury, falls, machinery accidents, motor vehicle accidents, and respiratory disease.

Results: Preliminary results from one year of data (2009) indicate the most frequent EMS work-related events to be falls, motor vehicle accidents, cut/pierce, and machinery accidents. Respiratory events by primary impression included asthma, allergic reaction, and inhalation//toxic gas. Results from combined 3 year analysis will be presented.

Learning Areas:

Epidemiology
Occupational health and safety

Learning Objectives:
Demonstrate the usefulness of EMS data to track work-related injuries and illnesses to enhance existing state occupational health surveillance systems.

Keyword(s): Occupational Surveillance, Workplace Safety

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I manage the Occupational Health Surveillance Program for the state of New Hampshire and am qualified to do the research and data analysis for the program. I am also a doctorate level occupational health professional.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.