Identification and Characterization of Data Sources for Logger Injuries and Fatalities

Details

• Personal Author:
  Alamgir H ; Cooper S ; Levin J
• Description:
  Logging, both as an industry and as an occupation, has long been recognized as one of the most dangerous areas in which to work, yet there is no comprehensive epidemiological analysis of the risk factors, causes, nature and outcome of injury among logging workers- especially in the U.S. Public Health Region VI that consists of Arkansas, Louisiana, New Mexico, Oklahoma and Texas. The primary objective of this study is to identify and characterize the existing surveillance data sources so that useful information can be generated to plan and develop safer forestry activities. The investigation incorporates literature review, a description of the available data sources and a critical assessment of data sources. We evaluated data availability for health outcomes, exposures and at-risk populations in the forestry sector. We conducted a retrospective and comprehensive assessment of the various sources of information currently available throughout the Federal and State Departments and scientific literature. The logging industry leaders and worker advocates were leveraged for their expertise in available data sources. We prepared an inventory of available data on injury surveillance, surveys, and current forestry worker population information and assessed the current and future needs of these and thereby reported on existing data gaps. Limitations were noted in the available data and resulting rates such as underreporting, data coverage (i.e., inclusion and exclusion criteria), varying case definitions, or availability and specification of denominator data. Data sources are carefully documented, the rates are defined and detailed formulas for their calculation are documented. Recommendations are made for future data collection or rate calculations. We propose to develop the methods to calculate and present forestry health and safety indicators. The purpose and significance of the rates, filters applied for confidentiality, limitations, and recommendations will also be noted. A data dictionary including variables, values, and coding categories will be developed and maintained to facilitate consistency and to document procedures and decisions. [Description provided by NIOSH]
• Subjects:
  Forestry Occupational Health Safety
• Keywords:
  Data Processing Forestry Workers Logging Industry Logging Safety Surveillance
• ISSN:
  1059-924X
• Document Type:
  Text
• Funding:
  Cooperative Agreement
• Genre:
  Abstract or Summary
• Place as Subject:
  OSHA Region 6 ; Texas
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  201-202
• Volume:
  19
• Issue:
  2
• NIOSHTIC Number:
  nn:20070076
• Citation:
  J Agromedicine 2014 Apr; 19(2):201-202
• Email:
  Abul.h.alamgir@uth.tmc.cedu
• Federal Fiscal Year:
  2014
• NORA Priority Area:
  Agriculture, Forestry and Fishing
• Performing Organization:
  University of Texas Health Center at Tyler
• Peer Reviewed:
  False
• Start Date:
  20010930
• Source Full Name:
  Journal of Agromedicine
• End Date:
  20270929
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:014314c37ba873e7a66b35f47aabcda410d75eea361f0de072f8ef402b892ea5c55f77535a1b923fbf0214b93f581b5139413cde5b6db13811fbae36f8c79f3a
• Download URL:
  https://stacks.cdc.gov/view/cdc/208372/cdc_208372_DS1.pdf
• File Type:
  [PDF - 369.82 KB ]