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Related Experiment Videos

Environmental health practice: statistically based performance measurement.

Richard T Enander1, Ronald N Gagnon, R Choudary Hanumara

  • 1Rhode Island Department of Environmental Management, Office of Technical and Customer Assistance, Providence, RI 02908, USA. richard.enander@dem.ri.gov

American Journal of Public Health
|February 3, 2007
PubMed
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A new self-certification approach significantly improved environmental and worker protection in automotive refinishing facilities. This method enhances compliance and can supplement existing state and federal enforcement programs.

Area of Science:

  • Environmental science
  • Occupational health
  • Regulatory compliance

Background:

  • Traditional facility-by-facility inspections are resource-intensive.
  • State agencies seek effective compliance strategies for environmental and health protection.

Purpose of the Study:

  • To evaluate the effectiveness of a self-certification random sampling design.
  • To assess improvements in environmental and occupational health in automotive refinishing facilities.

Main Methods:

  • Collected 3-year statewide environmental and occupational health data.
  • Utilized a self-certification random sampling design in Rhode Island.
  • Performed statistical comparisons between baseline and post-intervention data.

Main Results:

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  • Statistically significant improvements observed in 4 key areas: occupational health and safety, air pollution control, hazardous waste management, and wastewater discharge.
  • Data from 82 randomly selected facilities showed enhanced performance.
  • Results remained significant after applying a modified Bonferroni adjustment.

Conclusions:

  • The self-certification approach is an effective strategy for environmental and worker protection.
  • This method can serve as a valuable adjunct to existing state and federal enforcement programs.
  • Supports a shift towards more efficient regulatory compliance models.