Environmental health practice: statistically based performance measurement.

OBJECTIVES: State environmental and health protection agencies have traditionally relied on a facility-by-facility inspection-enforcement paradigm to achieve compliance with government regulations. We evaluated the effectiveness of a new approach that uses a self-certification random sampling design...

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Bibliographic Details
Published in:American Journal of Public Health Vol. 97; no. 5; pp. 819 - 825
Main Authors: Enander RT, Gagnon RN, Hanumara RC, Park E, Armstrong T, Gute DM
Format: equations & formulas research tables/charts Journal Article
Published: American Public Health Association May2007
Online Access:View this record in EBSCOhost
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Summary:OBJECTIVES: State environmental and health protection agencies have traditionally relied on a facility-by-facility inspection-enforcement paradigm to achieve compliance with government regulations. We evaluated the effectiveness of a new approach that uses a self-certification random sampling design. METHODS: Comprehensive environmental and occupational health data from a 3-year statewide industry self-certification initiative were collected from representative automotive refinishing facilities located in Rhode Island. Statistical comparisons between baseline and postintervention data facilitated a quantitative evaluation of statewide performance. RESULTS: The analysis of field data collected from 82 randomly selected automotive refinishing facilities showed statistically significant improvements (P<.05, Fisher exact test) in 4 major performance categories: occupational health and safety, air pollution control, hazardous waste management, and wastewater discharge. Statistical significance was also shown when a modified Bonferroni adjustment for multiple comparisons was performed. CONCLUSIONS: Our findings suggest that the new self-certification approach to environmental and worker protection is effective and can be used as an adjunct to further enhance state and federal enforcement programs.