Characteristics of the top five most frequent injuries in United States mining operations, 2003-2007 - SME Transactions 2009

- Organization:
- Society for Mining, Metallurgy & Exploration
- Pages:
- 10
- File Size:
- 580 KB
- Publication Date:
- Jan 1, 2009
Abstract
Research in the field of mining safety and health in the
United States plays an important part in protecting the lives
of miners. The National Institute for Occupational Safety and
Health (NIOSH) Mining Program conducts surveillance, studies
and developmental work aimed at improving the safety and
health of miners. With recent reviews of the Mining Program
by the National Academy of Sciences and the Mining Program
response (NIOSH, 2008), the importance of setting goals,
conducting high quality engineering and scientific research
and evaluating the outputs, outcomes, relevance and impacts of
these projects has been reemphasized. Surveillance of reported
injuries is a first step in deciding on research directions and
in designing specific projects. Groups of injuries often share
features and attributes that suggest common causes and may
respond to similar preventive efforts. Identifying groups of
injuries also serves to prioritize intervention efforts.
The Mine Safety and Health Administration (MSHA) Accident
and Injury database (MSHA, 2008) provides individual
case reports of mining injuries, illnesses and certain no-injury
accidents (events such as roof falls that stop mine production
or miners’ activities for more than one hour). This database
is an indispensable resource for researchers and stakeholders
needing information on the statistics of these events. From an
epidemiological perspective, research projects target groups
of miners at risk due to specific patterns of work, equipment,
mine settings and the management of safety and health in
their mines. Incidence rates are provided by the MSHA data
for selected variables, such as surface/underground location,
standard industrial classification and state. While incidence
rates are the preferred measure for all variables, denominators
are not typically available; for example, to more clearly understand
the data about injury by occupational type, it would be
necessary to conduct demographic surveys. A current survey
of the demographics of the mining industry should be complete
by 2010, which will allow incidence rates to be developed for
a number of variables such as age, occupation and experience.
This survey will provide the first update of its kind since the
first survey was conducted in 1985.
This report describes an alternative method of analyzing
and presenting MSHA data for the purpose of identifying
high-cost, high-severity injuries and illnesses. Researchers at
the NIOSH Spokane Research Laboratory (SRL) developed
programs to find the top five most frequent accident classes,
natures of injury, types of accidents and other selected variables
from the MSHA database. Studying these variables gives a
cross-sectional snapshot of the most frequent groups of injuries
within a commodity, regional group or time period, and allows
researchers to quickly understand developing patterns for new
research projects. The primary benefit of this approach is to
Citation
APA:
(2009) Characteristics of the top five most frequent injuries in United States mining operations, 2003-2007 - SME Transactions 2009MLA: Characteristics of the top five most frequent injuries in United States mining operations, 2003-2007 - SME Transactions 2009. Society for Mining, Metallurgy & Exploration, 2009.